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The ESP Coordinating Center (ESP CC) is responding to a request from the VA Health Services Research and Development Service (HSR&D) for an updated evidence brief on the diagnostic, therapeutic, and clinical impact of coronary computed tomography angiography (CCTA) with fractional flow reserve (FFRCT) technologies for the diagnosis of coronary artery disease (CAD). Findings from this review will be used to inform use of HeartFlow FFRCT analysis in the Veterans Health Administration (VHA).
PREFACE
The VA Evidence Synthesis Program (ESP) was established in 2007 to provide timely and accurate syntheses of targeted healthcare topics of importance to clinicians, managers, and policymakers as they work to improve the health and healthcare of Veterans. These reports help:
- Develop clinical policies informed by evidence;
- Implement effective services to improve patient outcomes and to support VA clinical practice guidelines and performance measures; and
- Set the direction for future research to address gaps in clinical knowledge.
The program is composed of three ESP Centers across the US and a Coordinating Center located in Portland, Oregon. Center Directors are VA clinicians and recognized leaders in the field of evidence synthesis with close ties to the AHRQ Evidence-based Practice Center Program. The Coordinating Center was created to manage program operations, ensure methodological consistency and quality of products, and interface with stakeholders. To ensure responsiveness to the needs of decision-makers, the program is governed by a Steering Committee composed of health system leadership and researchers. The program solicits nominations for review topics several times a year via the program website.
Comments on this evidence report are welcome and can be sent to Nicole Floyd, Deputy Director, ESP Coordinating Center at vog.av@dyolF.elociN.
EXECUTIVE SUMMARY
Background
The Evidence Synthesis Program is responding to a request from the VA Health Services Research and Development Service (HSR&D) for an updated evidence brief on the diagnostic, therapeutic, and clinical impact of CCTA with FFRCT technologies for the diagnosis of CAD. Findings from this review will be used to inform use of FFRCT technologies in the VHA.
Methods
To identify studies, we searched MEDLINE®, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and other sources up to February 2021. We used prespecified criteria for study selection, data abstraction, and rating internal validity and strength of the evidence. See our PROSPERO protocol for our full methods.
Key Findings
- Diagnostic accuracy
- Previous findings: Compared to coronary computed tomography angiography (CCTA) alone, HeartFlow FFRCT analysis (HeartFlow) likely has good diagnostic accuracy, and a higher specificity and similar sensitivity for identifying obstructive coronary disease when using a reference standard of invasive fractional flow reserve.
- New evidence: Several new studies agree with these findings.
- Patients referred directly for invasive coronary angiography (ICA)
- Previous findings: HeartFlow reduced ICA use in community settings, but the applicability to VA settings is low.
- New evidence: None
- Patients with suspected coronary disease referred for noninvasive testing
- Previous findings: In community settings, HeartFlow increased ICA use compared to other noninvasive strategies.
- New evidence: None
- Patients with suspected coronary disease referred for CCTA
- Previous findings: None
- New evidence: A single new study examined ICA use in patients with suspected coronary disease undergoing CCTA, but findings are limited by major methodological concerns.
- Effect on cardiac events
- Previous findings: In the short term (90 days to 1 year), rates of cardiac events were similar in those receiving HeartFlow and those receiving other diagnostic strategies, and in patients whose clinical management plans changed after use of HeartFlow compared to those whose clinical management plans did not change with use of HeartFlow.
- New evidence: Several new studies agree with these findings.
- Future research
- Research in VA settings and comparing HeartFlow to specific noninvasive strategies is needed to determine the potential impact of HeartFlow within the VA.
Noninvasive diagnostic strategies for evaluation of patients with stable chest pain include functional imaging (single-photon emission CT, positron emission tomography scanning, pharmacologic echocardiography, etc), and anatomic imaging with coronary computed tomography angiography (CCTA). CCTA generally has good diagnostic accuracy, but it lacks the ability to assess the functional significance of coronary artery disease (CAD). Fractional flow reserve (FFR) measured invasively during coronary angiography is considered the gold standard for detecting hemodynamically significant CAD. Noninvasive techniques have been developed to estimate FFR from CCTA images (FFRCT) with the aim of gaining both functional and anatomical information on the extent of coronary artery narrowing and the impact on blood flow.
HeartFlow, currently the only commercially available and FDA-cleared FFRCT technology, uses computer modeling and CCTA images to produce color-coded maps showing functionally significant coronary artery narrowing.
In 2019, the Evidence Synthesis Program (ESP) prepared a white paper report synthesizing the evidence on the diagnostic accuracy and therapeutic and clinical impact of FFRCT technologies for the diagnosis of CAD. Three clinical scenarios for the potential use of HeartFlow were identified from the literature, and, for each scenario, important gaps in the evidence were described (Table ES-1). Briefly, we found that in community settings, HeartFlow FFRCT analysis reduced the use of ICA among patients referred directly to ICA. This evidence was not applicable to the VA, where practices regarding direct referral to ICA and use of CCTA differ from those in community settings. We did not find compelling evidence that using CCTA plus HeartFlow would reduce ICA use in patients who undergo other types of noninvasive testing for suspected coronary disease.
The goal of the present report was to provide an updated synthesis of the evidence on the use of HeartFlow for noninvasive diagnosis of CAD, focusing on evidence that is most relevant to the VA and most applicable to evidence gaps identified in the 2019 ESP review. Based on our updated summary of findings (Table ES-2), we found that new evidence has not resolved the evidence gaps identified in the 2019 ESP report:
- Diagnostic accuracy: New evidence on the diagnostic accuracy of HeartFlow agreed with findings from the 2019 ESP report, confirming that HeartFlow likely has good diagnostic accuracy and a higher specificity and similar sensitivity for identifying obstructive coronary disease to that of CCTA alone. No studies were in VA settings.
- ICA Use:
- Clinical Scenario 1: No new evidence examined HeartFlow use in patients planned to be directly referred to ICA.
- Clinical Scenario 2: No new evidence examined HeartFlow use as a substitute for other noninvasive testing.
- Clinical Scenario 3: A single new study compared HeartFlow use in patients undergoing CCTA alone or HeartFlow. However, this study had severe methodological limitations. Although the specificity of HeartFlow is improved over CCTA alone, the impact on downstream utilization of ICA needs to be verified.
- Clinical Outcomes: New evidence supports previous findings that short-term (90 days to 1 year) rates of cardiac events are similar in those receiving HeartFlow and those receiving other diagnostic strategies, and in patients whose clinical management plans changed after use of HeartFlow compared to those whose clinical management plans did not change with use of HeartFlow. A single new study on longer-term (~5 years) clinical outcomes reported rates of major adverse cardiac events but did not compare clinical events between those receiving HeartFlow and other diagnostic strategies.
Data from the VA Corporate Data Warehouse show that use of CCTA within the VA remains relatively low (~2000 performed each year from 2018 to 2020), suggesting that regular use of HeartFlow for all patients referred for CCTA within the VA may have a low impact on ICA use. However, targeted use of HeartFlow in facilities with a high volume of CCTA use in specific clinical scenarios may have the potential to reduce unnecessary use of coronary angiography. CCTA use, a prerequisite for using FFRCT analysis, is unlikely to change in the VA unless clinicians are persuaded by direct evidence that a CCTA-based strategy is preferable to other noninvasive strategies. Challenges in integrating HeartFlow into current clinical pathways and the need for access to and training for CCTA remain barriers for the use of HeartFlow within the VA. Population (demographics, cardiac risk factors, etc) and clinical (types of noninvasive strategies used, access to CCTA and/or ICA, etc) characteristics may differ between the VA and those in trials of HeartFlow, and research in VA settings is needed to determine the potential impact of HeartFlow within the VA. Controlled studies of ICA rates in patients with suspected coronary disease receiving CCTA or other noninvasive strategies and comparing HeartFlow to specific noninvasive strategies are needed.
PURPOSE
The ESP Coordinating Center (ESP CC) is responding to a request from the VA Health Services Research and Development Service (HSR&D) for an updated evidence brief on the diagnostic, therapeutic, and clinical impact of coronary computed tomography angiography (CCTA) with fractional flow reserve (FFRCT) technologies for the diagnosis of coronary artery disease (CAD). Findings from this review will be used to inform use of HeartFlow FFRCT analysis in the Veterans Health Administration (VHA).
BACKGROUND
A more detailed background is provided in the 2019 ESP report on FFRCT technologies.29
CCTA TECHNOLOGIES
Patients with chest pain and low to intermediate pre-test probability of stable CAD are typically evaluated noninvasively, commonly with standard exercise electrocardiogram (ECG) for patients who are able to exercise. For patients who cannot exercise or have an uninterpretable resting ECG, noninvasive functional imaging options include pharmacologic stress plus nuclear imaging (single-photon emission CT (SPECT) or positron emission tomography (PET) scanning) or pharmacologic echocardiography.30 Noninvasive anatomical imaging with CCTA is another option for patients who cannot exercise and who have intermediate to high probability of significant coronary artery disease.31,32
CCTA generally has a high sensitivity for functionally significant coronary lesions (range 86% to 95% in recent meta-analyses2,3,33), with few false negatives. However, the specificity is 61% to 79%,2,3,33 and the potential for false positives often leads to the use of invasive coronary angiography (ICA) to exclude the presence of significant CAD and assess its functional significance. The gold standard for detecting hemodynamically significant CAD is fractional flow reserve (FFR), or the fraction of maximum blood flow in a restricted artery.34 Measurement of FFR requires an invasive procedure to place a pressure wire to calculate pressure and blood flow information,35,36 and novel techniques have emerged to calculate FFR noninvasively from CCTA images (FFRCT). The aim of FFRCT is to gain both functional and anatomical information on the extent of coronary artery narrowing and the impact on blood flow.36,37
HeartFlow FFRCT Analysis
HeartFlow uses computer modeling and CCTA images to produce noninvasive 3-dimensional FFR models, and is the only commercially available and FDA-cleared FFRCT technology.38,39 Physicians or health systems can send high-quality (ie, artifact-free) CCTA images to HeartFlow, Inc. (Redwood City, California), where the images are used to produce a color-coded map of the coronary arteries with estimated FFR values. The map shows the physiological impact of coronary artery narrowing on blood flow, and physicians can manipulate the model to examine each vessel and analyze the location and severity of lesions. HeartFlow also offers an interactive tool (“HeartFlow Planner”), which can model various clinical scenarios and treatment plans based on the patient-specific HeartFlow model.40
A recent Health Technology Assessment by the ECRI Institute reported that evidence on the diagnostic accuracy and therapeutic and clinical impact is somewhat favorable for the use of HeartFlow for guiding treatment in patients with suspected CAD.41 Recent narrative reviews generally agree that HeartFlow offers advantages in noninvasive diagnosis of CAD with improved diagnostic accuracy and reductions in ICA use in specific clinical situations.42,43 Additionally, guidance from the National Institute for Health and Care Excellence (NICE) in the UK recommends using HeartFlow for patients with stable recent onset chest pain who are offered CCTA as a part of the clinical pathway.44 In the US, many major medical centers use HeartFlow, and the Centers for Medicare and Medicaid Services (CMS) and several commercial payers cover the use of HeartFlow in specific clinical situations.45,46 The VA does not currently have guidelines or coverage policies regarding the use of HeartFlow FFRCT analysis.
Other FFRCT Technologies
Numerous other FFRCT algorithms exist, including Siemens Healthcare cFFR, Canon Medical Systems CT-FFR, and independent, locally developed machine learning and reduced order modeling techniques.2,3,38 Unlike HeartFlow, these technologies can be used within individual clinics, hospitals, or research environments without the need for analyses by an outside entity. However, none are commercially available or FDA cleared at the time of this report.
2019 ESP CC REPORT ON FFRCT TECHNOLOGIES
In 2019, the ESP prepared a white paper report synthesizing the evidence on the diagnostic accuracy and therapeutic and clinical impact of FFRCT technologies for the diagnosis of CAD.29 Key findings and evidence gaps from this report are summarized in Table 1. For diagnostic accuracy outcomes, 2 meta-analyses and several subsequent primary studies generally agreed that HeartFlow is more specific than CCTA alone, using a reference standard of invasive FFR. Studies examining reductions in ICA use fell into 3 clinical scenarios for the potential use of HeartFlow: (1) in patients who are planned to be directly referred to ICA in lieu of noninvasive evaluation, (2) as a substitute for other noninvasive testing, and (3) as a part of the clinical pathway for patients referred for CCTA. The PLATFORM trial11 reported that HeartFlow reduced the use of coronary angiography in patients planned to be directly referred to ICA (scenario 1), but led to a higher rate of coronary angiography in patients planned for noninvasive testing (scenario 2). No studies reported on ICA use as a part of the clinical pathway for patients referred for CCTA (scenario 3). Evidence on the impact of the use of HeartFlow on clinical outcomes was limited to short-term (90-day to 1-year) findings.
As no trials were conducted in VA settings – and because the utility of HeartFlow depends on clinical practices and frequency of use of CCTA, the characteristics of patients who undergo CCTA, and on how decisions about ICA are made within a particular setting – the previous report concluded that additional trials were necessary to understand the potential impact of HeartFlow use within the VA. Additionally, further data on the long-term impact of HeartFlow on clinical outcomes were needed. Finally, existing evidence did not justify substituting CCTA with FFRCT for other noninvasive tests, and direct evidence was needed about how HeartFlow compares to other noninvasive diagnostic tests, specifically those widely used in the VA.
The goal of the present report was to provide an updated synthesis of the evidence on the use of HeartFlow for noninvasive diagnosis of CAD, focusing on evidence that is most relevant to the VA and most applicable to evidence gaps identified in the 2019 ESP review.
METHODS
PROTOCOL
A preregistered protocol for this review can be found on the PROSPERO international prospective register of systematic reviews (http://www.crd.york.ac.uk/PROSPERO/; CRD42021243717).
KEY QUESTIONS
- Key Question 1.
What is the diagnostic accuracy of HeartFlow FFRCT analysis for diagnosing CAD?
- Key Question 2.
What is the diagnostic and therapeutic impact of HeartFlow FFRCT analysis in guiding the diagnosis and treatment of CAD?
- Key Question 3.
What is the impact of the use of HeartFlow FFRCT analysis on clinical outcomes and cost in the diagnosis and treatment of CAD?
ELIGIBILITY CRITERIA
The ESP included studies that met the following criteria:
- Population: Adult candidates for non-invasive evaluation for coronary disease or invasive coronary angiography
- Intervention: HeartFlow FFRCT analysis
- Comparator: Any other diagnostic strategy for CAD (coronary computed tomography angiography [CCTA], exercise electrocardiogram [ECG], exercise or pharmacologic stress echocardiography, exercise or pharmacologic cardiac nuclear imaging with single-photon emission computed tomography [SPECT], positron emission tomography [PET], cardiovascular magnetic resonance [CMR], etc)
- Outcomes: Diagnostic accuracy (sensitivity, specificity, etc), use of invasive coronary angiography, changes in clinical or therapeutic management of patients, cost, major adverse cardiac events (MACE), other adverse clinical events (mortality, myocardial infarction, etc)
- Timing: Any
- Setting: Any
- Study design: Any, but we may prioritize articles using a best evidence approach to accommodate the timeline.
DATA SOURCES AND SEARCHES
To identify recent literature on diagnostic accuracy and clinical effectiveness, we searched MEDLINE, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials using terms for HeartFlow, fractional flow reserve, and computed tomography angiography published since 2019, the end search date of our recent evidence review29 (see Appendix A in supplemental materials for complete search strategies). The search was limited to publications involving human subjects available in the English language. Additional information was gathered by cross-checking reference lists, searching citing articles, reviewing FDA documents, searching for ongoing clinical trials, and consulting with content experts. One investigator first reviewed all titles, abstracts, and full-text articles, with a second investigator checking. All disagreements were resolved by consensus or discussion with a third reviewer.
DATA ABSTRACTION AND ASSESSMENT
We abstracted data on study design, population characteristics, diagnostic accuracy, and therapeutic and clinical impact outcomes from all included studies. All data abstraction was first completed by 1 reviewer then checked by another reviewer. We used predefined criteria to critically appraise all included studies, including the Cochrane ROBIS tool for systematic reviews,47 the QUADAS-2 tool for diagnostic accuracy studies,48 the Cochrane ROBINS-I tool for cohort studies,49 and the tool developed by Murad et al50 for case series. For noncomparative studies assessing changes in clinical management plans and real-world implications of utilizing HeartFlow, we used ROBINS-I to identify strengths and deficiencies of the studies. All included studies were appraised independently by 2 reviewers. Disagreements were resolved by consensus or discussion with a third reviewer.
We graded the strength of the evidence based on the AHRQ Methods Guide for Comparative Effectiveness Reviews.51 This approach provides a rating of confidence in reported findings based on study methodology (design, quality, and risk of bias), consistency (whether effects are in the same direction and have a consistent magnitude), directness (whether assessed outcomes are clinically important to patients and providers), and precision (narrowness of the range of confidence intervals). For this review, we applied the following general algorithm: high strength evidence consisted of multiple studies with low study limitations, direct outcomes, narrow confidence intervals, and consistent findings; moderate strength evidence consisted of multiple studies with low to moderate study limitations, direct outcomes, and consistent findings; low strength evidence consisted of single or multiple studies with moderate study limitations and wide confidence intervals and/or inconsistent findings; and insufficient evidence consisted of a single study with moderate or high study limitations, or no available trials. Strength of evidence ratings were applied to primary outcomes for all included studies.
SYNTHESIS
We synthesized available evidence narratively by outcome and clinical scenario. To improve our interpretation of the applicability of findings to current VA practice patterns, we retrieved data from the VA Corporate Data Warehouse (CDW) on the number of patients receiving CCTA tests and the number of these patients who went on to ICA within 90 days of CCTA testing. We accessed data through the VA Informatics and Computing Infrastructure.52 To better match VA patients with participants in trials of HeartFlow, we limited the data to patients without acute coronary syndrome, a diagnosis of CAD, a history of previous revascularization within the year prior to CCTA, or a history of ICA.11 CDW codes used are available upon request. Finally, a technical expert panel (TEP) provided input on the clinical relevance of evidence and important considerations for use of HeartFlow within the VA.
RESULTS
LITERATURE FLOW
The literature flow diagram (Figure 1) summarizes the results of the study selection process (see Appendix B in supplemental materials for full list of excluded studies).
LITERATURE OVERVIEW
Among 740 potentially relevant citations, we included 3 systematic reviews1–3 (1 new since 2019 ESP report) and 7 primary studies4–10 (5 new since 2019 ESP report) on diagnostic accuracy, and 14 studies (in 23 publications)11–28,53–57 reporting diagnostic or therapeutic impact or clinical or cost outcomes (7 new since 2019 ESP report) (Table 2, see Appendix C in supplemental materials for full study details). We also identified 6 ongoing studies examining the use of HeartFlow. Most of these studies examine diagnostic accuracy, but a few examine clinical outcomes, including 1 ongoing trial comparing clinical and cost outcomes of using CCTA with selected FFRCT or usual care (see Appendix D in supplemental materials for list of ongoing studies).
Diagnostic Accuracy
One meta-analysis1 and 5 primary studies4,5,7,9,10 published since the 2019 ESP report examined the diagnostic accuracy of HeartFlow. The new meta-analysis included 1 primary study not included in either of the previously included meta-analyses. Diagnostic accuracy of HeartFlow was assessed in patients with suspected CAD undergoing CCTA, often along with other noninvasive testing (ie, SPECT, PET), compared to the reference standard of ICA with invasive FFR measurement. All studies used a cut-off value of FFR ≤ 0.80 to identify functionally significant CAD. Sample sizes of included studies ranged from 51 to 208 patients, with the exception of 1 study that included nearly 1500 patients5 (although it is unclear how many patients in this study were included in the diagnostic accuracy analysis). The applicability of this evidence to patients with low to intermediate pre-test risk of CAD is unclear as several studies excluded patients with low to intermediate risk of CAD8,9 or limited analyses to those with known CAD10 or at least 30% stenosis on ICA.4 Findings of several studies may have been impacted by unclear blinding of HeartFlow and/or invasive FFR values, and by exclusion of patients from analyses due to unreadable CCTA scans or lack of invasive FFR data.
Therapeutic and Clinical Outcomes
Seven studies published since the 2019 ESP report examined therapeutic or clinical outcomes of HeartFlow.13,14,17,20,23,26,28 Most were noncomparative studies, reporting on real-world clinical experiences and changes in clinical management plans in patients with an intermediate risk of CAD undergoing CCTA; none were RCTs (Table 2). Several new sub-analyses of the Assessing Diagnostic Value of Noninvasive FFRCT in Coronary Care (ADVANCE) registry, an international registry of over 5,000 patients with suspected CAD (> 30% stenosis on CCTA) undergoing HeartFlow FFRCT analysis from 2015 to 2017, examined outcomes by various demographic factors (age, gender, etc).19,22,25,27,53–55 All but 2 studies included at least 200 patients (range: 75 to 5,083). Studies frequently had important methodological limitations, including lack of concurrent control groups, unclear methods for selecting patients into the study, baseline differences between comparison groups, lack of or unclear methods for statistical adjustment, and exclusion of patients with missing FFRCT data.
KEY QUESTION 1. DIAGNOSTIC ACCURACY OF HEARTFLOW
One new systematic review1 agreed with previous findings, reporting good diagnostic accuracy of HeartFlow, and higher specificity for identifying obstructive coronary disease than CCTA alone in patients with suspected coronary disease using a reference standard of FFR during ICA (specificity range = 73% to 76% HeartFlow vs 61% to 64% CCTA alone) (Table 3).1–3 The accuracy of HeartFlow was higher than that of CCTA (AUC range = 0.87 to 0.89 HeartFlow vs 0.82 CCTA alone), while sensitivities were similar (84% to 85% HeartFlow vs 86% to 88% CCTA).
Seven studies (5 new since 2019 ESP report) published after the most recent systematic reviews generally agreed with the findings of those reviews. Sensitivity (range = 81% to 92%), specificity (range = 68% to 94%), and accuracy (AUC range = 0.82 to 0.94) estimates for HeartFlow varied, but generally showed similar sensitivity and higher specificity and diagnostic accuracy than CCTA alone (Table 4).4–10 The variation in estimates among studies may be due to differences in study populations, CCTA procedures (ie, imaging technique), or study methods (eg, whether clinicians interpreting HeartFlow had knowledge of reference standard findings). Multiple studies directly assessing the diagnostic accuracy of HeartFlow compared to FFR during ICA reported similar sensitivities, but higher specificities, than that of CCTA, strengthening our confidence in these findings. However, no studies have assessed diagnostic accuracy in a VA population.
All included studies used a FFRCT cut-off value of ≤ 0.80. An evaluation of the diagnostic performance of HeartFlow according to different FFRCT cut-off values in patients with suspected CAD undergoing invasive FFR found that specificity values were higher with a cut-off of FFRCT ≤ 0.75 compared to FFRCT ≤ 0.80 (75% and 59%, respectively), with acceptable sensitivity (95% for FFRCT = 0.80 and 86% for FFRCT = 0.75).58Additionally, a sub-study from an observational Danish study found that in patients with intermediate stenoses on CCTA, an FFRCT score < 0.75 was more predictive of ICA results than a score in the range 0.75 to 0.80.16
KEY QUESTION 2. DIAGNOSTIC AND THERAPEUTIC IMPACT OF HEARTFLOW
Use of Invasive Coronary Angiography
Several clinical scenarios were previously identified for the potential impact of HeartFlow on use of ICA. No new evidence examined the impact of HeartFlow on ICA use in patients directly referred to ICA (scenario 1), or as a substitute for other noninvasive strategies (scenario 2). A single new study examined reduction in ICA with use of HeartFlow in patients referred for CCTA (scenario 3).
Scenario 1: Use of HeartFlow in patients who are planned to be directly referred to ICA in lieu of noninvasive evaluation
No new studies examined impact of HeartFlow on the use of ICA in patients planned to be directly referred to ICA. As previously described, the PLATFORM study11 compared consecutive cohorts of patients receiving usual care (invasive or noninvasive diagnostic evaluation followed by medical therapy or invasive procedures) or HeartFlow. Findings from this study suggest that use of HeartFlow in patients with new onset chest pain scheduled for elective ICA can reduce the use of coronary angiograms in patients who do not have functionally significant coronary disease. In this trial, use of HeartFlow reduced the 90-day rate of ICA overall from 100% to 40% in patients whose local community physicians planned ICA as the initial test to evaluate chest pain. The rate of nonobstructive ICA was 12% in the HeartFlow group versus 73% in the usual care group (risk difference = −61%, 95% CI [−53, −69]). The rate of obstructive CAD was similar in the 2 groups. Similar findings were reported in a sub-analysis of these patients from German sites.56 Our confidence in these findings is limited because the criteria for ordering elective ICA were unclear and may differ across clinical settings, including between VA and non-VA settings. Additionally, these findings are from a single study and it is unknown if further studies would have consistent findings.
Scenario 2: Use of HeartFlow as a substitute for other noninvasive testing
No new studies examined impact of HeartFlow on the use of ICA in patients planned for other noninvasive testing. The PLATFORM study showed that HeartFlow did not reduce the use of ICA in patients who were planned for noninvasive testing. Only about 10% of patients who underwent a noninvasive workup needed ICA, whereas 12.5% of HeartFlow patients underwent angiography.11 A previously described single-center, pre-post study in Denmark12 reported findings that conflicted with the PLATFORM trial, with a reduction in the use of ICA (−4.2 per 100 patients, 95% CI [−6.9, −1.6]) and a reduction in the rate of finding no obstructive disease on ICA (−12.8 per 100 ICAs, 95% CI [−22.2, −3.4]) after switching the preferred noninvasive strategy from myocardial perfusion imaging to CCTA plus selective HeartFlow (in patients with intermediate stenosis on CCTA). However, the risk difference was small and should be considered alongside the negative results of the PLATFORM trial in patients referred for an initially noninvasive evaluation. Our confidence in these findings is limited by inconsistent findings and lack of direct comparison to specific noninvasive strategies, including those routinely used in the VA.
Scenario 3: Use of HeartFlow as a part of the clinical pathway for patients who undergo CCTA
One new single-center study13 in the US described the impact of implementing HeartFlow in patients without known CAD referred for CCTA. ICA utilization was compared among consecutive patients receiving HeartFlow during a specific time period and a historical control group receiving CCTA alone. This study has major methodological limitations, including use of a historical control group with unclear methods for selection of patients. There were important baseline differences between patients receiving HeartFlow and the historical control group (anginal typicality, prior stress testing, etc), and it is likely that these differences impacted downstream use of ICA. Additionally, introduction of HeartFlow into the clinic may have influenced ICA referral patterns among clinicians. Although ICA use was similar overall (17% [65/387] HeartFlow vs 18% [8/44] historical control), among patients with at least 1 vessel with ≥ 50% diameter stenosis, ICA use was reduced with HeartFlow (45% [55/121] HeartFlow vs 80% [8/10] historical control). Our confidence in these findings is very low, as they are from a single study with severe methodological limitations. In the previously described ADVANCE registry,54 overall 90-day ICA use was 43.9%, and several subgroup analyses22,25,53 of the registry reported similar findings (the registry did not have a comparison to patients not receiving HeartFlow).
Change in Clinical Management
Several new registry- or hospital system-based studies reported changes in clinical management plans or rates of ICA cancellation based on HeartFlow or CCTA alone14–22 (Table 5). Most studies compared clinical management plans within a single group of patients, with clinicians making clinical decisions based on CCTA images or HeartFlow FFRCT analyses of the same patients. Rates of changes in clinical management plans among the new studies varied (range = 24% to 55.8%)17,20,22 but were generally lower than those previously reported (range = 36% to 66.9%).18,19,21 Rates of ICA cancellation ranged from 48% to 91%.15,16,21 The variability in these findings likely arises from differences in patient populations (ie, patients with suspected CAD vs those with known CAD or documented stenosis), local variation in clinical management and physician practices, and availability of ICA. One new study14 compared management plans between 2 heart teams, randomized to make a treatment decision between percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) based on coronary angiography or on CCTA. Each heart team then had to make a second treatment decision based on results from HeartFlow. Compared to CCTA or ICA, 7% and 6.6% of patients had a treatment decision change between PCI and CABG with the additional HeartFlow information, respectively.
Studies directly evaluated outcomes of clinical relevance in actual practice. However, our confidence in these findings is limited by important methodological weaknesses, including lack of control groups (all patients received HeartFlow in most studies) and unclear blinding of imaging results (ie, the same clinicians made clinical recommendations based on CCTA alone or HeartFlow) in several studies, which may have influenced changes in clinical management plans. Additionally, most studies did not assess whether HeartFlow affected actual clinical management of patients (treatment received) but focused on changes in the initial clinician management plan.
KEY QUESTION 3. IMPACT OF HEARTFLOW ON CLINICAL OUTCOMES AND COST
Rates of cardiovascular and other adverse events were low and were similar in those receiving HeartFlow or other diagnostic strategies, and in those whose clinical management plans were changed with HeartFlow (including in those who had ICA cancelled based on HeartFlow results) and those whose clinical management plans were not changed (Table 6).11,15,16,19,21,24,26,54 One new sub-analysis of the NXT trial (designed to examine the diagnostic accuracy of HeartFlow)59 reported a longer-term rate of major adverse cardiac events (MACE; 9.7% at a median of 4.7 years) among patients receiving HeartFlow, but did not compare MACE rates to those in patients utilizing other diagnostic strategies.26 Although MACE and other clinical event rates were consistently low, only the PLATFORM trial compared event rates in patients receiving HeartFlow to other diagnostic strategies, and only a single study included follow-up longer than 1 year.
No new studies examined cost or quality of life outcomes. As previously described, quality of life scores in the PLATFORM trial24,57 were generally similar between groups, with a greater improvement in quality of life reported with HeartFlow in the planned noninvasive subgroup. Mean costs at 90 days and 1 year were lower in the HeartFlow cohort compared to the usual care cohort in the subgroup of patients planned to receive ICA, but no differences in costs were observed between the groups in patients planned to receive noninvasive testing.24,57
CONSIDERATIONS FOR THE USE OF HEARTFLOW IN VA
The potential impact of HeartFlow depends on the use of CCTA because CCTA images are needed for the HeartFlow FFRCT analysis. The VA currently employs the 2012 American College of Cardiology Foundation and American Heart Association guidance for diagnosis of CAD, which recommends CCTA only for those who are unable to exercise or who have contraindications to stress testing.60,61 Data from the VA national CDW shows that around 2,000 VA patients without a diagnosis of CAD or prior history of revascularization or ICA underwent CCTA testing each year from 2018 to 2020 (1,925 patients in 2018, 2,007 patients in 2019 and 1,828 patients in 2020). Among facilities performing at least 1 CCTA, more than 80% of VA sites reported fewer than 50 CCTAs during the calendar years 2018 to 2020 (Figure 2), with around 40% to 60% of VA sites performing 10 CCTAs or fewer. Only 3 to 4 VA sites reported doing 100 CCTAs or more per year from 2018 to 2020.
Among VA patients undergoing CCTA, only 18.5% underwent ICA within 90 days after CCTA, indicating that most patients receiving CCTA have normal or non-obstructive results and do not end up requiring ICA or have extensive coronary artery disease not amenable to ICA intervention. In these cases, further imaging, including HeartFlow FFRCT analysis, is usually not necessary. Similar rates of ICA after CCTA in patients with suspected but unknown CAD have been reported in other studies (9.6% to 16%).62–65
CCTA is generally used less often in the US compared to Europe due to differences in guidance recommendations, reimbursement structures, and clinical practices and training.66 Guidance from the European Society of Cardiology67 and the National Institute for Health and Care Excellence68 in the UK recommend use of CCTA as a first-line diagnostic strategy for patients with stable chest pain or chronic coronary syndrome. In an analysis of CCTA use among the Medicare population from 2006 to 2016, CCTA use in the US peaked in 2007 (210.3 per 100,000), and then declined until 2014, after which CCTA usage began to rise again, reaching 131.0 per 100,000 in 2016.69 A recent American College of Cardiology State-of-the-Art Review outlined supportive evidence for expanded use of CCTA in the US.66 However, barriers to increasing the use of CCTA in the US remain, including limited access to equipment, limited availability and support of technical training for clinicians, and lack of updated guidance for use of CCTA.
The potential impact of targeted HeartFlow use in patients referred for CCTA in the VA was estimated in the previous ESP report from data on the sensitivity and specificity of HeartFlow and CCTA alone. Using assumptions for the prevalence of patients with intermediate-stenosis lesions on CCTA, the proportion of these patients who have functionally significant CAD, and the proportion of patients with positive CCTA that undergo ICA, an estimated 34 ICAs could be prevented for every 1,000 patients undergoing CCTA.29
ADEQUACY OF CCTA IMAGES FOR HEARTFLOW FFRCT
HeartFlow FFRCT analysis requires adequate-quality CCTA images to estimate FFR data. In studies on the therapeutic and clinical impact of HeartFlow reporting rates of acceptance of CCTA images, 79% to 98.6% of images were adequate for HeartFlow FFRCT analysis. Variation in equipment quality and physician and CT technologist expertise may influence the adequacy of CCTA images and are important considerations for potential implementation of HeartFlow. When CCTA images are rejected due to poor image quality, CCTA must be repeated to use HeartFlow.
SUMMARY AND DISCUSSION
New evidence did not resolve the evidence gaps identified in the 2019 ESP report. New evidence on the diagnostic accuracy of HeartFlow agreed with findings from the 2019 ESP report, confirming that HeartFlow has good diagnostic accuracy and is more specific than CCTA alone when compared with the reference standard of invasive FFR. No new studies assessed reduction in ICA use with HeartFlow use in patients directly referred to ICA or as a substitute for other noninvasive tests. In the PLATFORM trial,11 use of HeartFlow reduced the use of coronary angiography in patients directly referred to ICA. However, use of HeartFlow as a substitute for other noninvasive tests led to a higher rate of ICA use in this trial.11 New evidence showed no difference in ICA use overall with the use of HeartFlow in patients referred for CCTA, but a reduction in ICA use among patients with at least 1 vessel with ≥ 50% diameter stenosis.13 However, severe methodological limitations of this study limit our confidence in these findings. HeartFlow likely changes treatment plans compared to decisions made based on CCTA alone, but the impact on actual treatment received is less clear. Although the specificity of HeartFlow is improved over CCTA alone, the impact on downstream utilization of ICA needs to be verified.
New evidence supported previous findings of low short-term (90 days to 1 year) rates of cardiac events with similar rates in those receiving HeartFlow and other diagnostic strategies, and in those whose clinical management plans changed because of HeartFlow and those whose management plans were unchanged. New evidence on longer-term clinical outcomes showed that MACE rates at around 5 years increased to almost 10% (compared to <2% at 90 days to 1 year) among those receiving HeartFlow. However, comparison of clinical outcomes in patients receiving HeartFlow to other diagnostic strategies are lacking. The findings of generally low clinical event rates align with those reported in the PROMISE trial, which examined outcomes of stable symptomatic outpatients without known CAD randomly assigned to receive CCTA or functional testing (all-cause death/myocardial infarction/unstable angina: 3.1% CCTA vs 3.0% functional testing, median follow-up of 26.1 months).70 These findings question the overall impact of diagnostic testing strategy on clinical outcomes, including the potential of HeartFlow to impact downstream clinical outcomes. Given the apparently limited impact of diagnostic testing strategy on clinical outcomes, studies of HeartFlow have emphasized the potential for a reduction in the unnecessary use of invasive procedures. However, clinical practice patterns, including routine use of ICA, may vary across different clinical settings. It is important to consider whether reduction in ICA use is appropriate as the key outcome for determining the impact of HeartFlow in all settings, specifically in settings where ICA is not routinely used.
Key considerations for the use of HeartFlow in the VA are the availability and frequency of use of CCTA, technical training for clinicians, and potential challenges of integrating HeartFlow into the clinical workflow. The relatively low number of CCTAs performed in the VA, along with the low rate of ICA after CCTA, suggest that regular use of HeartFlow among all patients referred CCTA may have a low impact on ICA use in the VA. However, if utilization of CCTA within the VA increases in light of updated guidance from the European Society of Cardiology67 and a review of the evidence by the American College of Cardiology69 supporting use of CCTA as a first-line diagnostic strategy, HeartFlow has the potential to reduce ICA use in certain clinical scenarios, including as a targeted add-on for patients with CCTA findings that are borderline for obstructive disease. Although few VA sites performed more than 100 CCTAs per year, assessment of the impact of HeartFlow in these high-volume centers could identify the potential clinical implications of use of HeartFlow within the VA. Another important consideration is the low volume of CCTAs within the VA may impact image quality for HeartFlow analysis. VA sites with less technical expertise in conducting CCTAs may experience a higher rate of rejection of images for HeartFlow FFRCT analysis, and it may be necessary for sites to perform a minimum number of CCTAs per year to stay adequately trained and experienced in CCTA techniques.
Other FFRCT algorithms, including Siemens Healthcare cFFR, Canon Medical Systems CT-FFR and independent, locally developed machine learning and reduced order modeling techniques are alternatives to HeartFlow.2,3,38 Although none of these technologies are yet commercially available or FDA cleared, they can be used within individual clinics, hospitals, or research environments without the need for analyses by an outside entity. The VA may consider developing its own approach to noninvasive FFR modeling, but evidence on the diagnostic and clinical impact of these alternatives is minimal and was outside the scope of this review.
LIMITATIONS
There are several important limitations of the evidence base. No randomized controlled trials investigated the impact of HeartFlow on diagnostic or clinical outcomes. Cohort studies comparing HeartFlow to other noninvasive strategies (including CCTA alone) or ICA were often limited by unbalanced baseline patient characteristics (eg, type of chest pain, cardiac risk factors, demographics, etc). These differences may influence outcomes (ie, one group may be more likely to be referred to ICA due to type of chest pain or cardiac risk factors). Statistical adjustment for baseline differences between groups was inadequate, or unable to be fully assessed due to lack of information on adjustment methods. Without balanced comparison groups, differences in outcomes could have been due to patient characteristics linked to ICA referrals rather than use of HeartFlow. To determine the impact of HeartFlow compared to other diagnostic strategies, an ideal trial would enroll patients at a distinct point in their diagnostic workup (ie, at symptom onset) and randomize them to receive either HeartFlow or another invasive or noninvasive strategy for diagnosis of CAD, equalizing patient characteristics across groups. Adequate sample size, blinding of patients and outcome assessors, and standardized assessment of outcomes over a specific period of time are also important.
Limitations of our review methods include use of a second reviewer check during study selection and data abstraction rather than dual independent review. Additionally, only FDA-cleared FFRCT technologies were eligible for this review, limiting our assessment to studies of HeartFlow FFRCT analysis. No studies examined HeartFlow compared to other noninvasive FFRCT technologies (locally developed algorithms, etc) and the clinical impact of these alternatives compared to HeartFlow is unknown.
EVIDENCE GAPS AND FUTURE RESEARCH
Substantial gaps in the evidence remain. Most importantly, no studies have assessed HeartFlow in a VA setting. The utility of HeartFlow depends on the characteristics of patients who undergo diagnostic testing and on how clinical decisions are made within a particular setting. Patient characteristics and clinical pathways may differ between non-VA and VA populations and settings, and the impact of HeartFlow within the VA remains unknown. Only 2 studies examined the impact of HeartFlow on the use of ICA in patients referred for noninvasive testing, and comparison of HeartFlow to specific noninvasive strategies is lacking. Clinical decisions and diagnostic pathways likely differ within the VA compared to those in community settings in studies of HeartFlow and direct evidence about how HeartFlow compares to diagnostic tests widely used in the VA is needed. Additionally, only a single study (with serious methodological limitations) examined the impact on ICA use of adding HeartFlow to the clinical pathway for patients referred for CCTA, which is the clinical scenario promoted on the manufacturer website.40 Controlled studies of ICA rates in patients with suspected coronary disease receiving CCTA or other noninvasive strategies and comparing HeartFlow to specific noninvasive strategies are needed.
CONCLUSIONS
New evidence did not sufficiently address the evidence gaps identified in the 2019 ESP report. The impact of regularly utilizing HeartFlow for all patients referred for CCTA within the VA is likely low, given the relatively low number of CCTAs performed in the VA and the unclear impact of HeartFlow compared to noninvasive strategies currently used within the VA. However, use of HeartFlow in facilities with a high volume of CCTAs in specific clinical scenarios may have the potential to reduce unnecessary use of coronary angiography. Short-term rates of adverse cardiac events are likely low and do not differ in those receiving HeartFlow or other diagnostic strategies, but additional research is needed on longer-term clinical outcomes comparing rates of adverse cardiac events between HeartFlow and other diagnostic strategies. Research in VA settings and comparing HeartFlow to specific noninvasive strategies is needed to determine the potential impact of HeartFlow within the VA.
ACKNOWLEDGMENTS
This topic was developed in response to a request from the VA Health Services Research and Development Service for an updated evidence review on the diagnostic, therapeutic, and clinical impact of FFRCT technologies in the noninvasive diagnosis of CAD. The scope was further developed with input from Operational Partners (below) and the ESP Coordinating Center review team.
The authors gratefully acknowledge Kathryn Vela for literature searching and Rachel Ward for editorial and citation management support, and the following individuals for their contributions to this project:
Operational Partners
Operational partners are system-level stakeholders who have requested the report to inform decision-making. They recommend Technical Expert Panel (TEP) participants; assure VA relevance; help develop and approve final project scope and timeframe for completion; provide feedback on the draft report; and provide consultation on strategies for dissemination of the report to the field and relevant groups.
- David Atkins, MD, MPHVA HSR&D Director
Technical Expert Panel (TEP)
To ensure robust, scientifically relevant work, the TEP guides topic refinement; provides input on key questions and eligibility criteria, advising on substantive issues or possibly overlooked areas of research; assures VA relevance; and provides feedback on work in progress. TEP members are listed below:
- Paul Hess, MDUniversity of Colorado School of Medicine
- Jeffrey Chenoweth, MDActing Director, VHA National Radiology Program
Peer Reviewers
The Coordinating Center sought input from external peer reviewers to review the draft report and provide feedback on the objectives, scope, methods used, perception of bias, and omitted evidence. Peer reviewers must disclose any relevant financial or non-financial conflicts of interest. Because of their unique clinical or content expertise, individuals with potential conflicts may be retained. The Coordinating Center and the ESP Center work to balance, manage, or mitigate any potential nonfinancial conflicts of interest identified.
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Supplemental Materials
APPENDIX A. SEARCH STRATEGIES
1. Search for current systematic reviews (limited to last 7 years) Date Searched: 2-23-21 | |||
---|---|---|---|
A. Bibliographic databases | # | Search Statement | Results |
MEDLINE: Systematic Reviews [Ovid MEDLINE(R) ALL 1946 to February 22, 2021] | 1 | (FFFRct or CT-FFR* or ctFFR* or FFRct* or CT-based FFR* or FFR CT or noninvasive FFR or noninvasive fractional flow reserve or non-invasive FFR or non-invasive fractional flow reserve).mp. | 376 |
2 | exp Fractional Flow Reserve, Myocardial/ or (Fractional Flow Reserve or FFR).mp. | 4878 | |
3 | exp Computed Tomography Angiography/ | 11297 | |
4 | (Computed Tomography Angiogra* or CCTA or coronary CT angiogra* or CT coronary angiogra*).mp. | 21196 | |
5 | 3 or 4 | 21196 | |
6 | 2 and 5 | 663 | |
7 | 1 or 6 | 733 | |
8 | (systematic review.ti. or meta-analysis.pt. or meta-analysis.ti. or systematic literature review.ti. or this systematic review.tw. or pooling project.tw. or (systematic review.ti,ab. and review.pt.) or meta synthesis.ti. or meta-analy*.ti. or integrative review.tw. or integrative research review.tw. or rapid review.tw. or umbrella review.tw. or consensus development conference.pt. or practice guideline.pt. or drug class reviews.ti. or cochrane database syst rev.jn. or acp journal club.jn. or health technol assess.jn. or evid rep technol assess summ.jn. or jbi database system rev implement rep.jn. or (clinical guideline and management).tw. or ((evidence based.ti. or evidence-based medicine/ or best practice*.ti. or evidence synthesis.ti,ab.) and (((review.pt. or diseases category/ or behavior.mp.) and behavior mechanisms/) or therapeutics/ or evaluation studies.pt. or validation studies.pt. or guideline.pt. or pmcbook.mp.)) or (((systematic or systematically).tw. or critical.ti,ab. or study selection.tw. or ((predetermined or inclusion) and criteri*).tw. or exclusion criteri*.tw. or main outcome measures.tw. or standard of care.tw. or standards of care.tw.) and ((survey or surveys).ti,ab. or overview*.tw. or review.ti,ab. or reviews.ti,ab. or search*.tw. or handsearch.tw. or analysis.ti. or critique.ti,ab. or appraisal.tw. or (reduction.tw. and (risk/ or risk.tw.) and (death or recurrence).mp.)) and ((literature or articles or publications or publication or bibliography or bibliographies or published).ti,ab. or pooled data.tw. or unpublished.tw. or citation.tw. or citations.tw. or database.ti,ab. or internet.ti,ab. or textbooks.ti,ab. or references.tw. or scales.tw. or papers.tw. or datasets.tw. or trials.ti,ab. or meta-analy*.tw. or (clinical and studies).ti,ab. or treatment outcome/ or treatment outcome.tw. or pmcbook.mp.))) not (letter or newspaper article).pt. | 438670 | |
9 | 7 and 8 | 31 | |
10 | Limit 9 to English language only | 31 | |
11 | Limit 10 to yr=”2019-Current” | 9 | |
CDSR: Protocols and Reviews [EBM Reviews - Cochrane Database of Systematic Reviews 2005 to February 19, 2021] | 1 | (FFFRct or CT-FFR* or ctFFR* or FFRct* or CT-based FFR* or FFR CT or noninvasive FFR or noninvasive fractional flow reserve or non-invasive FFR or non-invasive fractional flow reserve).mp. | 0 |
2 | (Fractional Flow Reserve, Myocardial).kw. or (Fractional Flow Reserve or FFR).mp. | 4 | |
3 | (Computed Tomography Angiography).kw. | 0 | |
4 | (Computed Tomography Angiogra* or CCTA or coronary CT angiogra* or CT coronary angiogra*).mp. | 25 | |
5 | 3 or 4 | 25 | |
6 | 2 and 5 | 0 | |
7 | 1 or 6 | 0 | |
8 | limit 7 to yr=”2019-Current” | 0 | |
B. Non-bibliographic databases | Evidence: | Results | |
AHRQ: evidence reports, technology assessments, U.S Preventative Services Task Force Evidence Synthesis | http://www Search: FFFRct; fractional flow reserve; non-invasive CAD imaging; Coronary Computed Tomography Angiography; coronary CT angiography; CCTA | 0 | |
CADTH | Search: FFFRct; fractional flow reserve; non-invasive CAD imaging; Coronary Computed Tomography Angiography; coronary CT angiography; CCTA | 0 | |
ECRI Institute | https://www Search: FFFRct; fractional flow reserve; non-invasive CAD imaging; Coronary Computed Tomography Angiography; coronary CT angiography; CCTA | 0 | |
HTA: Health Technology Assessments | http://www No update search, not updated past 2016 | ||
NHS Evidence | http://www Search: FFFRct; fractional flow reserve; non-invasive CAD imaging; Coronary Computed Tomography Angiography; coronary CT angiography; CCTA | ||
VA Products - VATAP, PBM and HSR&D publications | A. http://www B. http://www Search: FFFRct; fractional flow reserve; non-invasive CAD imaging; Coronary Computed Tomography Angiography; coronary CT angiography; CCTA | 0 | |
2. Search for systematic reviews currently under development (includes forthcoming reviews & protocols) Date Searched: 02-23-21 | |||
A. Under development | Evidence: | Results | |
AHRQ topics in development (EPC Status Report) | https://www Search: FFFRct; fractional flow reserve; non-invasive CAD imaging; Coronary Computed Tomography Angiography; coronary CT angiography; CCTA | 0 | |
PROSPERO (SR registry) | http://www Search: FFFRct; fractional flow reserve; non-invasive CAD imaging; Coronary Computed Tomography Angiography; coronary CT angiography; CCTA Results: Kongyong Cui. Fractional flow reserve versus angiography for guiding complete revascularization in patients with acute myocardial infarction and multivessel disease: a systematic review and meta-analysis. PROSPERO 2020 CRD42020183799 Available from: https://www Donghee Han, Andrew Lin, Daniel Berman. Diagnostic performance of CT derived fractional flow reserve for the assessment of hemodynamically significant coronary artery stenosis according to coronary artery calcium score: systematic review and meta-analysis. PROSPERO 2020 CRD42020162255 Available from: https://www Felicitas Vogelgesang, Maria Hanna Coenen, Sabine Schüler, Marc Dewey. Systematic review on diagnostic meta-analyses of coronary computed tomography angiography vs conventional coronary angiography. PROSPERO 2020 CRD42020162475 Available from: https://www Mark Simmonds, Ruth Walker, Alexis Llewellyn, Kath Wright, Claire Rothery, Alessandro Grosso. QAngio XA 3D/QFR and CAAS vFFR imaging software for assessing coronary obstructions: a systematic review and economic evaluation. PROSPERO 2019 CRD42019154575 Available from: https://www | 4 | |
DoPHER (SR Protocols) | http://eppi Search: FFFRct; fractional flow reserve; non-invasive CAD imaging; Coronary Computed Tomography Angiography; coronary CT angiography; CCTA | 0 | |
Cochrane Database of Systematic Reviews: Protocols | http://www Search: See strategy above | 0 |
Search for primary literature Date searched: 02-23-21 | ||
---|---|---|
MEDLINE [Ovid MEDLINE(R) ALL 1946 to February 22, 2021] | ||
# | Search Statement | Results |
1 | (FFFRct or CT-FFR* or ctFFR* or FFRct* or CT-based FFR* or FFR CT or noninvasive FFR or noninvasive fractional flow reserve or non-invasive FFR or non-invasive fractional flow reserve).mp. | 376 |
2 | exp Fractional Flow Reserve, Myocardial/ or (Fractional Flow Reserve or FFR).mp. | 4878 |
3 | exp Computed Tomography Angiography/ | 11297 |
4 | (Computed Tomography Angiogra* or CCTA or coronary CT angiogra* or CT coronary angiogra*).mp. | 21196 |
5 | 3 or 4 | 21196 |
6 | 2 and 5 | 663 |
7 | 1 or 6 | 733 |
8 | Limit 7 to english language | 718 |
9 | Limit 8 to yr=”2019-Current” | 288 |
CCRCT [EBM Reviews - Cochrane Central Register of Controlled Trials January 2021] | ||
# | Search Statement | Results |
1 | (FFFRct or CT-FFR* or ctFFR* or FFRct* or CT-based FFR* or FFR CT or noninvasive FFR or noninvasive fractional flow reserve or non-invasive FFR or non-invasive fractional flow reserve).mp. | 48 |
2 | exp Fractional Flow Reserve, Myocardial/ or (Fractional Flow Reserve or FFR).mp. | 701 |
3 | exp Computed Tomography Angiography/ | 0 |
4 | (Computed Tomography Angiogra* or CCTA or coronary CT angiogra* or CT coronary angiogra*).mp. | 1308 |
5 | 3 or 4 | 1308 |
6 | 2 and 5 | 61 |
7 | 1 or 6 | 79 |
8 | Limit 7 to english language | 60 |
9 | Limit 8 to yr=”2019-Current” | 17 |
APPENDIX B. LIST OF EXCLUDED STUDIES
Exclude reasons: 1=Ineligible population (ie, acute coronary syndrome), 2=Ineligible intervention (ie, non HeartFlow FFRCT), 3=Ineligible comparator, 4=Ineligible outcome, 5=Ineligible setting, 6=Ineligible study design, 7=Ineligible publication type, 8=Outdated or ineligible systematic review, 9=Non-English language, 10=Unable to retrieve full text, 11=Trial included in prioritized systematic review
# | Citation | Exclude reason |
---|---|---|
1 | ACR–NASCI–SPR Practice Parameter for the Performance and Interpretation of Cardiac Computed Tomography (CT). 2017. | E2 |
2 | ACR–NASCI–SPR Practice Parameter for the Performance of Quantification of Cardiovascular Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). 2017. | E2 |
3 | Al-Mallah MH, Ahmed AM. Controversies in the Use of Fractional Flow Reserve Form Computed Tomography (FFRCT) vs Coronary Angiography. Current Cardiovascular Imaging Reports. 2016;9(12). | E7 |
4 | Andreini D, Mushtaq S, Pontone G, Rogers C, Pepi M, Bartorelli AL. Severe in-stent restenosis missed by coronary CT angiography and accurately detected with FFR<sub>CT</sub>. The international journal of cardiovascular imaging. 2017;33(1):119–120. [PubMed: 27581392] | E6 |
5 | Artzner C, Daubert M, Ehieli W, et al. Impact of computed tomography (CT)-derived fractional flow reserve on reader confidence for interpretation of coronary CT angiography. European Journal of Radiology. 2018;108:242–248. [PubMed: 30396663] | E4 |
6 | Babakhani H, Sadeghipour P, Tashakori Beheshti A, et al. Diagnostic accuracy of two-dimensional coronary angiographic-derived fractional flow reserve-Preliminary results. Catheterization & Cardiovascular Interventions. 2020;27:27. [PubMed: 32716124] | E2 |
7 | Ball C, Pontone G, Rabbat M. Fractional flow reserve derived from coronary computed tomography angiography datasets: the next frontier in noninvasive assessment of coronary artery disease. Biomedical Research International. 2018;2018:2680430. [PMC free article: PMC6151685] [PubMed: 30276202] | E7 |
8 | Baumann S, Becher T, Schoepf UJ, et al. Fractional flow reserve derived by coronary computed tomography angiography : A sophisticated analysis method for detecting hemodynamically significant coronary stenosis. Herz. 2017;42(6):604–606. [PubMed: 27783095] | E7 |
9 | Baumann S, Hirt M, Schoepf UJ, et al. Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosis. Clinical Research in Cardiology. 2020;109(6):735–745. [PubMed: 31664509] | E2 |
10 | Baumann S, Lossnitzer D, Renker M, Borggrefe M, Akin I. Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Assessment: Many Roads to Reach the Same Goal. Circulation Journal. 2018;82(9):2448. [PubMed: 30033942] | E7 |
11 | Baumann S, Renker M, Akin I, Borggrefe M, Schoepf UJ. FFR-Derived From Coronary CT Angiography Using Workstation-Based Approaches. Jacc: Cardiovascular Imaging. 2017;10(4):497–498. [PubMed: 28385262] | E7 |
12 | Baumann S, Renker M, Hetjens S, et al. Comparison of coronary computed tomography angiography-derived vs invasive fractional flow reserve assessment: meta-analysis with subgroup evaluation of intermediate stenosis. Academic Radiology. 2016;23(11):1402–1411. [PubMed: 27639627] | E8 |
13 | Baumann S, Renker M, Schoepf UJ, et al. Gender differences in the diagnostic performance of machine learning coronary CT angiography-derived fractional flow reserve -results from the MACHINE registry. European Journal of Radiology. 2019;119:108657. [PubMed: 31521876] | E2 |
14 | Beg F, Rehman H, Chamsi-Pasha MA, et al. Association between FFR<sub>CT</sub> and instantaneous wave-free ratio (iFR) of intermediate lesions on coronary computed tomography angiography. Cardiovascular Revascularization Medicine. 2020;26:26. [PubMed: 33272881] | E4 |
15 | Benton SM, Tesche C, De Cecco CN, Duguay TM, Schoepf UJ, Bayer RR, II. Noninvasive Derivation of Fractional Flow Reserve From Coronary Computed Tomographic Angiography: A Review. Journal of Thoracic Imaging. 2018;33(2):88–96. [PubMed: 28817458] | E7 |
16 | Bernhardt P, Walcher T, Rottbauer W, Wohrle J. Quantification of myocardial perfusion reserve at 1.5 and 3.0 Tesla: a comparison to fractional flow reserve. International Journal of CaXIArdiovascular Imaging. 2012;28(8):2049–2056. [PubMed: 22476908] | E2 |
17 | Bilbey N, Blanke P, Naoum C, Arepalli CD, Norgaard BL, Leipsic J. Potential impact of clinical use of noninvasive FFRCT on radiation dose exposure and downstream clinical event rate. Clinical Imaging. 2016;40(5):1055–1060. [PubMed: 27388817] | E6 |
18 | Cademartiri F, Seitun S, Clemente A, et al. Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography. Cardiovascular Diagnosis & Therapy. 2017;7(2):129–150. [PMC free article: PMC5422837] [PubMed: 28540209] | E7 |
19 | Cheruvu C, Naoum C, Blanke P, Norgaard B, Leipsic J. Beyond Stenosis With Fractional Flow Reserve Via Computed Tomography and Advanced Plaque Analyses for the Diagnosis of Lesion-Specific Ischemia. Canadian Journal of Cardiology. 2016;32(11):e1–1315. [PubMed: 27032888] | E7 |
20 | Chinnaiyan KM, Akasaka T, Amano T, et al. Rationale, design and goals of the HeartFlow assessing diagnostic value of non-invasive FFRCT in Coronary Care (ADVANCE) registry. Journal of Cardiovascular Computed Tomography. 2017;11(1):62–67. [PubMed: 28017291] | E7 |
21 | Chinnaiyan KM, Safian RD, Gallagher ML, et al. Clinical Use of CT-Derived Fractional Flow Reserve in the Emergency Department. Jacc: Cardiovascular Imaging. 2020;13(2 Pt 1):452–461. [PubMed: 31326487] | E1 |
22 | Chung JH, Lee KE, Nam CW, et al. Diagnostic Performance of a Novel Method for Fractional Flow Reserve Computed from Noninvasive Computed Tomography Angiography (NOVEL-FLOW Study). American Journal of Cardiology. 2017;120(3):362–368. [PubMed: 28595860] | E11 |
23 | Coenen A, Kim YH, Kruk M, et al. Diagnostic accuracy of a machine-learning approach to coronary computed tomographic angiography–based fractional flow reserve result from the MACHINE Consortium. Circulation: Cardiovascular Imaging. 2018;11(6):e007217. [PubMed: 29914866] | E2 |
24 | Coenen A, Lubbers MM, Kurata A, et al. Fractional flow reserve computed from noninvasive CT angiography data: diagnostic performance of an on-site clinician-operated computational fluid dynamics algorithm. Radiology. 2015;274(3):674–683. [PubMed: 25322342] | E2 |
25 | Coenen A, Rossi A, Lubbers MM, et al. Integrating CT Myocardial Perfusion and CT-FFR in the Work-Up of Coronary Artery Disease. JACC Cardiovascular imaging. 2017;10(7):760–770. [PubMed: 28109933] | E2 |
26 | Cook CM, Petraco R, Shun-Shin MJ, et al. Diagnostic accuracy of computed tomography-derived fractional flow reserve a systematic review. JAMA Cardiology. 2017;2(7):803–810. [PubMed: 28538960] | E8 |
27 | Danad I, Szymonifka J, Twisk JWR, et al. Diagnostic performance of cardiac imaging methods to diagnose ischaemia-causing coronary artery disease when directly compared with fractional flow reserve as a reference standard: A meta-analysis. European Heart Journal. 2017;38(13):991–998. [PMC free article: PMC5381594] [PubMed: 27141095] | E8 |
28 | De Geer J, Sandstedt M, Björkholm A, et al. Software-based on-site estimation of fractional flow reserve using standard coronary CT angiography data. Acta Radiologica. 2016;57(10):1186–1192. [PubMed: 26691914] | E2 |
29 | Deng SB, Jing XD, Wang J, et al. Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in coronary artery disease: A systematic review and meta-analysis. International journal of cardiology. 2015;184:703–709. [PubMed: 25781722] | E8 |
30 | Di Jiang M, Zhang XL, Liu H, et al. The effect of coronary calcification on diagnostic performance of machine learning-based CT-FFR: a Chinese multicenter study. European Radiology. 2021;31(3):1482–1493. [PubMed: 32929641] | E2 |
31 | Ding A, Qiu G, Lin W, et al. Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis. Japanese Journal of Radiology. 2016;34(12):795–808. [PubMed: 27796727] | E8 |
32 | Donnelly PM, Kolossváry M, Karády J, et al. Experience With an On-Site Coronary Computed Tomography-Derived Fractional Flow Reserve Algorithm for the Assessment of Intermediate Coronary Stenoses. American Journal of Cardiology. 2018;121(1):9–13. [PubMed: 29103607] | E2 |
33 | Douglas PS, Hoffmann U, Patel MR, et al. Outcomes of anatomical versus functional testing for coronary artery disease. New England Journal of Medicine. 2015;372(14):1291–1300. [PMC free article: PMC4473773] [PubMed: 25773919] | E2 |
34 | Duguay TM, Tesche C, Vliegenthart R, et al. Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary Syndrome. American Journal of Cardiology. 2017;120(8):1260–1266. [PubMed: 28844517] | E4 |
35 | Eberhard M, Nadarevic T, Cousin A, et al. Machine learning-based CT fractional flow reserve assessment in acute chest pain: first experience. Cardiovascular Diagnosis & Therapy. 2020;10(4):820–830. [PMC free article: PMC7487397] [PubMed: 32968637] | E2 |
36 | Eckert J. Coronary CTA with FFRCT: a safe strategy for diagnosis of CAD? Kardiologe. 2016;10(6):336–338. | E9 |
37 | ECRI Institute. FFRct Software (HeartFlow, Inc.) for Evaluating Coronary Artery Disease: Product Brief. ECRI Institute;2017. | E8 |
38 | Eftekhari A, Min J, Achenbach S, et al. Fractional flow reserve derived from coronary computed tomography angiography: diagnostic performance in hypertensive and diabetic patients. European Heart Journal Cardiovascular Imaging. 2017;18(12):1351–1360. [PubMed: 28013282] | E11 |
39 | Fearon WF, Lee JH. Pulling the RIPCORD: FFRCT to Improve Interpretation of Coronary CT Angiography*. JACC: Cardiovascular Imaging. 2016;9(10):1195–1197. [PubMed: 27568112] | E7 |
40 | Feldmann K, Cami E, Safian RD. Planning percutaneous coronary interventions using computed tomography angiography and fractional flow reserve-derived from computed tomography: A state-of-the-art review. Catheterization and Cardiovascular Interventions. 2018. [PubMed: 30286519] | E7 |
41 | Ferencik M, Lu MT, Mayrhofer T, et al. Non-invasive fractional flow reserve derived from coronary computed tomography angiography in patients with acute chest pain: Subgroup analysis of the ROMICAT II trial. Journal of cardiovascular computed tomography. 2019;13(4):196–202. [PMC free article: PMC6801016] [PubMed: 31113728] | E1 |
42 | Fordyce CB, Douglas PS. Optimal non-invasive imaging test selection for the diagnosis of ischaemic heart disease. Heart. 2016;102(7):555–564. [PubMed: 26826100] | E7 |
43 | Fordyce CB, Newby DE, Douglas PS. Diagnostic strategies for the evaluation of chest pain clinical implications from SCOT-HEART and PROMISE. Journal of the American College of Cardiology. 2016;67(7):843–852. [PMC free article: PMC4771619] [PubMed: 26892420] | E7 |
44 | Fractional Flow Reserve Derived From Computed Tomography Coronary Angiography in the Assessment and Management of Stable Chest Pain. 2017. | E7 |
45 | Fujimoto S, Kawasaki T, Kumamaru KK, et al. Diagnostic performance of on-site computed CT-fractional flow reserve based on fluid structure interactions: comparison with invasive fractional flow reserve and instantaneous wave-free ratio. European Heart Journal Cardiovascular Imaging. 2018;20(3):343–352. [PubMed: 30107511] | E2 |
46 | Fujimoto S, Kawasaki T, Kumamaru KK, et al. Diagnostic performance of on-site computed CT-fractional flow reserve based on fluid structure interactions: comparison with invasive fractional flow reserve and instantaneous wave-free ratio. European heart journal cardiovascular Imaging. 2019;20(3):343–352. [PubMed: 30107511] | E2 |
47 | Gaur S, Achenbach S, Leipsic J, et al. Rationale and design of the HeartFlowNXT (HeartFlow analysis of coronary blood flow using CT angiography: NeXt sTeps) study. Journal of Cardiovascular Computed Tomography. 2013;7(5):279–288. [PubMed: 24268114] | E7 |
48 | Gaur S, Bezerra HG, Lassen JF, et al. Fractional flow reserve derived from coronary CT angiography: variation of repeated analyses. Journal of Cardiovascular Computed Tomography. 2014;8(4):307–314. [PubMed: 25151923] | E4 |
49 | Gaur S, Øvrehus KA, Dey D, et al. Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions. European Heart Journal. 2016;37(15):1220–1227. [PMC free article: PMC4830909] [PubMed: 26763790] | E4 |
50 | Ghekiere O, Bielen J, Leipsic J, et al. Correlation of FFR-derived from CT and stress perfusion CMR with invasive FFR in intermediate-grade coronary artery stenosis. The international journal of cardiovascular imaging. 2019;35(3):559–568. [PubMed: 30284138] | E4 |
51 | Giannopoulos AA, Tang A, Ge Y, et al. Diagnostic performance of a Lattice Boltzmann-based method for CT-based fractional flow reserve. Eurointervention. 2018;13(14):1696–1704. [PubMed: 28649949] | E2 |
52 | Gognieva D, Mitina Y, Gamilov T, et al. Noninvasive Assessment of the Fractional Flow Reserve with the CT FFRc 1D Method: Final Results of a Pilot Study. Global heart. 2021;16(1):1. [PMC free article: PMC7792469] [PubMed: 33598381] | E2 |
53 | Guo W, Lin Y, Taniguchi A, et al. Prospective comparison of integrated on-site CT-fractional flow reserve and static CT perfusion with coronary CT angiography for detection of flow-limiting coronary stenosis. European Radiology. 2021;06:06. [PubMed: 33409778] | E2 |
54 | Hachamovitch R, Nutter B, Hlatky MA, et al. Patient management after noninvasive cardiac imaging results from SPARC (Study of myocardial perfusion and coronary anatomy imaging roles in coronary artery disease). Journal of the American College of Cardiology. 2012;59(5):462–474. [PubMed: 22281249] | E2 |
55 | Hecht HS, Narula J, Fearon WF. Fractional flow reserve and coronary computed tomographic angiography: a review and critical analysis. Circulation Research. 2016;119(2):300–316. [PubMed: 27390333] | E7 |
56 | Hoffmann U, Ferencik M, Udelson JE, et al. Prognostic Value of Noninvasive Cardiovascular Testing in Patients With Stable Chest Pain: Insights From the PROMISE Trial (Prospective Multicenter Imaging Study for Evaluation of Chest Pain). Circulation. 2017;135(24):2320–2332. [PMC free article: PMC5946057] [PubMed: 28389572] | E2 |
57 | Hu X, Yang M, Han L, Du Y. Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR. International Journal of Cardiovascular Imaging. 2018;34(12):1987–1996. [PubMed: 30062537] | E2 |
58 | Hulten EA. Does FFRCT have proven utility as a gatekeeper prior to invasive angiography? Journal of Nuclear Cardiology. 2017;24(5):1619–1625. [PubMed: 28681339] | E7 |
59 | Hulten E, Blankstein R, Di Carli MF. The value of noninvasive computed tomography derived fractional flow reserve in our current approach to the evaluation of coronary artery stenosis. Current Opinion in Cardiology. 2016;31(6):670–676. [PMC free article: PMC5147496] [PubMed: 27652813] | E7 |
60 | Hulten E, Di Carli MF. FFRCT: Solid PLATFORM or thin ice? Journal of the American College of Cardiology. 2015;66(21):2324–2328. [PubMed: 26475206] | E7 |
61 | Hwang D, Lee JM, Koo BK. Physiologic assessment of coronary artery disease: Focus on fractional flow reserve. Korean Journal of Radiology. 2016;17(3):307–320. [PMC free article: PMC4842851] [PubMed: 27134520] | E7 |
62 | Ihdayhid AR, Sakaguchi T, Linde JJ, et al. Performance of computed tomography-derived fractional flow reserve using reduced-order modelling and static computed tomography stress myocardial perfusion imaging for detection of haemodynamically significant coronary stenosis. European Heart Journal Cardiovascular Imaging. 2018;19(11):1234–1243. [PubMed: 30137268] | E2 |
63 | Karady J, Mayrhofer T, Ivanov A, et al. Cost-effectiveness Analysis of Anatomic vs Functional Index Testing in Patients With Low-Risk Stable Chest Pain. JAMA Network Open. 2020;3(12):e2028312. [PMC free article: PMC7737090] [PubMed: 33315111] | E6 |
64 | Kato E, Fujimoto S, Kumamaru KK, et al. Adjustment of CT-fractional flow reserve based on fluid-structure interaction underestimation to minimize 1-year cardiac events. Heart & Vessels. 2020;35(2):162–169. [PubMed: 31392411] | E2 |
65 | Kawaji T, Shiomi H, Morishita H, et al. Feasibility and diagnostic performance of fractional flow reserve measurement derived from coronary computed tomography angiography in real clinical practice. International Journal of Cardiovascular Imaging. 2017;33(2):271–281. [PubMed: 27718139] | E11 |
66 | Kawashima H, Pompilio G, Andreini D, et al. Safety and feasibility evaluation of planning and execution of surgical revascularisation solely based on coronary CTA and FFR<sub>CT</sub> in patients with complex coronary artery disease: study protocol of the FASTTRACK CABG study. BMJ Open. 2020;10(12):e038152. [PMC free article: PMC7733219] [PubMed: 33303435] | E7 |
67 | Kerut EK, Turner M. Fractional flow reserve-CT assessment of coronary stenosis. Echocardiography. 2018;35(5):730–732. [PubMed: 29569282] | E7 |
68 | Kim KH, Doh JH, Koo BK, et al. A novel noninvasive technology for treatment planning using virtual coronary stenting and computed tomography-derived computed fractional flow reserve. JACC Cardiovascular Interventions. 2014;7(1):72–78. [PubMed: 24332418] | E11 |
69 | Kim SH, Kang SH, Chung WY, et al. Validation of the diagnostic performance of ‘HeartMedi V.1.0’, a novel CT-derived fractional flow reserve measurement, for patients with coronary artery disease: a study protocol. BMJ Open. 2020;10(7):e037780. [PMC free article: PMC7375628] [PubMed: 32690748] | E2 |
70 | Kim HJ, Vignon-Clementel IE, Coogan JS, Figueroa CA, Jansen KE, Taylor CA. Patient-specific modeling of blood flow and pressure in human coronary arteries. Annals of Biomedical Engineering. 2010;38(10):3195–3209. [PubMed: 20559732] | E2 |
71 | Kishi S, Giannopoulos AA, Tang A, et al. Fractional flow reserve estimated at coronary CT angiography in intermediate lesions: comparison of diagnostic accuracy of different methods to determine coronary flow distribution. Radiology. 2018;287(1):76–84. [PMC free article: PMC5896162] [PubMed: 29156145] | E2 |
72 | Kitabata H, Leipsic J, Patel MR, et al. Incidence and predictors of lesion-specific ischemia by FFRCT: Learnings from the international ADVANCE registry. Journal of Cardiovascular Computed Tomography. 2018;12(2):95–100. [PubMed: 29422416] | E4 |
73 | Knaapen P. FFR<sub>CT</sub> Versus SPECT to Diagnose Coronary Artery Disease: Toward a Tailored Approach. Jacc: Cardiovascular Imaging. 2018;11(11):1651–1653. [PubMed: 30409328] | E7 |
74 | Ko BS, Cameron JD, Munnur RK, et al. Noninvasive CT-Derived FFR Based on Structural and Fluid Analysis: A Comparison With Invasive FFR for Detection of Functionally Significant Stenosis. JACC: Cardiovascular Imaging. 2017;10(6):663–673. [PubMed: 27771399] | E2 |
75 | Ko BS, Wong DT, Norgaard BL, et al. Diagnostic Performance of Transluminal Attenuation Gradient and Noninvasive Fractional Flow Reserve Derived from 320-Detector Row CT Angiography to Diagnose Hemodynamically Significant Coronary Stenosis: An NXT Substudy. Radiology. 2016;279(1):75–83. [PubMed: 26444662] | E2 |
76 | Kolossváry M, Szilveszter B, Merkely B, Maurovich-Horvat P. Plaque imaging with CT-A comprehensive review on coronary CT angiography based risk assessment. Cardiovascular Diagnosis and Therapy. 2017;7(5):489–506. [PMC free article: PMC5716945] [PubMed: 29255692] | E7 |
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APPENDIX C. EVIDENCE TABLES
DATA ABSTRACTION OF INCLUDED SYSTEMATIC REVIEWS
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DATA ABSTRACTION OF INCLUDED PRIMARY STUDIES
Data Abstraction of Primary Studies Evaluating Diagnostic Accuracy of HeartFlow FFRCT
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Data Abstraction of Primary Studies Evaluating Clinical or Therapeutic Outcomes
Study Characteristics
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Outcomes
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QUALITY ASSESSMENT OF INCLUDED STUDIES
Quality Assessment of Systematic Reviews using ROBIS-SR
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Quality Assessment of Diagnostic Accuracy Studies Using QUADAS-2
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Quality Assessment of Cohort Studies Using ROBINS-I
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Quality Assessment of Case Series Using Murad et al
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STRENGTH OF EVIDENCE OF INCLUDED STUDIES
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APPENDIX D. ONGOING HEARTFLOW FFRCT STUDIES
PI or Researcher Institution | Study Title Identifier | Summary | Status Estimated completion |
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David Brown, MD Baylor Research Institute | HeartFlow (AFFECTS) | The overall objective of the AFFECTS Study is to assess agreement between SPECT and FFRCT in identifying vessel-specific, hemodynamically significant CAD in patients scheduled for invasive coronary angiography (ICA) based on abnormal SPECT myocardial perfusion scans. In particular, the study will evaluate the ability of FFRCT to correctly rule out hemodynamically significant CAD in patients with non-significant CAD or normal coronary arteries who had positive SPECT scans. | Recruiting December 2021 |
Pamela S Douglas HeartFlow, Inc. | The PRECISE Protocol: Prospective Randomized Trial of the Optimal Evaluation of Cardiac Symptoms and Revascularization (PRECISE) | PRECISE will evaluate whether a precision evaluation strategy that combines contemporary risk stratification using the PROMISE Risk Tool with functional and anatomic noninvasive evaluation with CCTA with selective FFRCT can improve outcomes over usual care in stable chest pain patients while safely deferring further testing in low-risk patients and reducing cost overall | Not yet recruiting Estimated Completion: April 2022 |
Bernard De Bruyne, MD, PhD Onze Lieve Vrouw Hospital | Precise Percutaneous Coronary Intervention Plan (P3) Study | The Precise Percutaneous Coronary Intervention (PCI) Plan Study is an investigator-initiated, international and multicenter study of patients with an indication for PCI aiming at assessing the agreement and accuracy of the HeartFlow Planner with invasive FFR as a reference. | Recruiting January 15, 2021 |
Hiromasa Otake, MD Kobe University | Evaluation of Fractional Flow Reserve Calculated by Computed Tomography Coronary Angiography in Patients Undergoing TAVR (FORTUNA) | The objective of this study is to evaluate the relationship between FFR derived from FFRCT before transcatheter aortic valve replacement (TAVR) and FFR after TAVR to investigate whether FFRCT is useful for evaluating myocardial ischemia of severe AS. | Not yet recruiting March 31, 2022 |
Patrick W Serruys, Prof. dr. National University of Ireland | Safety and Feasibility Evaluation of Planning and Execution of Surgical Revascularization Solely Based on Coronary CTA and FFRCT in Patients With Complex Coronary Artery Disease (FASTTRACK CABG) NCT04142021 | Prospective, multicenter, single-arm study to “assess the feasibility of [CTA] and [FFRCT] to replace invasive coronary angiography (ICA) as a surgical guidance method for planning and execution of coronary artery bypass graft (CABG) in patients with 3-vessel disease with or without left main disease.” Primary endpoint: CABG feasibility by CTA alone and occlusion rate for CTA-guided grafts at 1-month follow-up. | Recruiting December 31, 2021 |
Nicolas van Mieghem Erasmus Medical Center | The Heartflow Coronary Disease Progression Evaluation Study (THRONE) NCT04052256 | Prospective, single-center, single-arm study to “evaluate disease progression in intermediate lesions (invasive FFR 0.81–0.90 at baseline) using FFRCT at 2 years and determine whether CT characteristics may help to identify lesions that are more susceptible for FFR decline.” | Recruiting October 2023 |
Abbreviations: CABG= coronary artery bypass grafting; CAD=coronary artery disease; CCTA=coronary computed tomography angiography; FFR=fraction flow reserve; FFRCT=fractional flow reserve using computed tomography; ICA=invasive coronary angiography; PCI=percutaneous coronary intervention; SPECT=single-photon emission computed tomography; TAVR=transcatheter aortic valve replacement
APPENDIX E. DISPOSITION OF PEER REVIEWER COMMENTS
Comment # | Reviewer # | Comment | Author Response |
---|---|---|---|
Are the objectives, scope, and methods for this review clearly described? | |||
1 | 1 | Yes | None |
2 | 2 | Yes | None |
3 | 3 | Yes | None |
4 | 4 | Yes | None |
5 | 5 | Yes | None |
6 | 6 | Yes | None |
Is there any indication of bias in our synthesis of the evidence? | |||
7 | 1 | No | None |
8 | 2 | No | None |
9 | 3 | No | None |
10 | 4 | No | None |
11 | 5 | No | None |
12 | 6 | No | None |
Are there any published or unpublished studies that we may have overlooked? | |||
13 | 1 | No | None |
14 | 2 | No | None |
15 | 3 | No | None |
16 | 4 | No | None |
17 | 5 | Yes - JAMA Netw Open. 2020;3(12):e2028312. | We formally excluded this study as it uses data from patients that have not received HeartFlow. As the implications and validity of this model are unclear, we have not discussed the study in the report. |
18 | 6 | No | None |
Additional suggestions or comments can be provided below. If applicable, please indicate the page and line numbers from the draft report. | |||
19 | 1 | This is a very clear and excellently written review. I have only two possible suggestions: 1) given the consistent evidence on higher specificity of CCTA-HF, and consistent findings from low quality studies, it seems one could state that it is likely that for patients undergoing CCTA, use of HF would modestly reduce the number referred for ICA. One could use the current VA data to calculate that impact. Given that only 20% are referred to ICA after CCTA, that number would likely be small. | We calculated the estimated number of ICAs prevented per 1000 ICAs in the previous ESP report. We have added a few sentences to the “Considerations for the Use of HeartFlow in VA” section on the findings from the calculation from the previous report. |
20 | 1 | 2) I would more explicitly state the distinct types of research needed. Once could easily do a study of patients undergoing CCTA and randomize them to HF or not and measure change in ICA. More important given new recommendations would be to assess CT with HF as an alternative to other non-invasive strategies for moderate risk patients. | We have added a description of the specific types of research needed - controlled trials comparing CCTA alone to HeartFlow and HeartFlow to other noninvasive strategies to the executive summary and the future research section. |
21 | 2 | The clinical question addressed by the 2019 review was important and remains so. The earlier review was excellent and this update is a useful adjunct. I found no shortcomings in the methodology. It would probably be useful for general readers, to have a bit more description about how the technology functions and what is entailed. | We have added a bit more detail to the description of the HeartFlow technology. Readers are also referred to our earlier report for more detail. |
22 | 2 | In thinking about whether this technology could be adopted by VA it would be nice to have some information about relative cost. | We agree that information on relative cost could be useful, but we do not have ready access to this data and analysis of VA costs data was outside the scope of this report. |
23 | 4 | Page 21, line 4: The conclusion that “most patients receiving CCTA have normal or non-obstructive results and do not end up requiring ICA” is undoubtedly at least partially true, however a second viable explanation would be that the exam shows extensive coronary artery disease not amenable to ICA intervention. In my experience, this is not uncommon in the VA population, and is probably an equally valuable result by obviating the need for the patient to undergo an invasive procedure without significant therapeutic value. As I see it, one of the major roles of CCTA (with or without CT-FFR) should be to act as a gatekeeper to the cath lab, so that only those who will truly benefit will need an invasive (and relatively expensive) procedure. | We agree and have added that extensive coronary disease may also account for those not going on to ICA. |
24 | 4 | Page 21, line 16: correct term should be “CT technologist”, not technician. | Corrected. |
25 | 4 | Page 25, line 44: correct title: Acting Director, VHA National Radiology Program | Corrected. |
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Suggested citation:
Anderson J, Young S, Helfand M. Evidence Brief: Coronary Computed Tomography Angiography with Fractional Flow Reserve in Noninvasive Diagnosis of Coronary Artery Disease. Washington, DC: Evidence Synthesis Program, Health Services Research and Development Service, Office of Research and Development, Department of Veterans Affairs. VA ESP Project #09-199; 2021. Available at: https://www.hsrd.research.va.gov/publications/esp/reports.cfm.
This report is based on research conducted by the Evidence Synthesis Program (ESP) Center located at the Portland VA Health Care System, Portland, OR, funded by the Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development. The findings and conclusions in this document are those of the author(s) who are responsible for its contents; the findings and conclusions do not necessarily represent the views of the Department of Veterans Affairs or the United States government. Therefore, no statement in this article should be construed as an official position of the Department of Veterans Affairs. No investigators have any affiliations or financial involvement (eg, employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties) that conflict with material presented in the report.
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