Literature DB >> 26330417

Clinical outcomes of fractional flow reserve by computed tomographic angiography-guided diagnostic strategies vs. usual care in patients with suspected coronary artery disease: the prospective longitudinal trial of FFR(CT): outcome and resource impacts study.

Pamela S Douglas1, Gianluca Pontone2, Mark A Hlatky3, Manesh R Patel4, Bjarne L Norgaard5, Robert A Byrne6, Nick Curzen7, Ian Purcell8, Matthias Gutberlet9, Gilles Rioufol10, Ulrich Hink11, Herwig Walter Schuchlenz12, Gudrun Feuchtner13, Martine Gilard14, Daniele Andreini2, Jesper M Jensen5, Martin Hadamitzky6, Karen Chiswell4, Derek Cyr4, Alan Wilk15, Furong Wang15, Campbell Rogers15, Bernard De Bruyne16.   

Abstract

AIMS: In symptomatic patients with suspected coronary artery disease (CAD), computed tomographic angiography (CTA) improves patient selection for invasive coronary angiography (ICA) compared with functional testing. The impact of measuring fractional flow reserve by CTA (FFRCT) is unknown. METHODS AND
RESULTS: At 11 sites, 584 patients with new onset chest pain were prospectively assigned to receive either usual testing (n = 287) or CTA/FFR(CT) (n = 297). Test interpretation and care decisions were made by the clinical care team. The primary endpoint was the percentage of those with planned ICA in whom no significant obstructive CAD (no stenosis ≥50% by core laboratory quantitative analysis or invasive FFR < 0.80) was found at ICA within 90 days. Secondary endpoints including death, myocardial infarction, and unplanned revascularization were independently and blindly adjudicated. Subjects averaged 61 ± 11 years of age, 40% were female, and the mean pre-test probability of obstructive CAD was 49 ± 17%. Among those with intended ICA (FFR(CT)-guided = 193; usual care = 187), no obstructive CAD was found at ICA in 24 (12%) in the CTA/FFR(CT) arm and 137 (73%) in the usual care arm (risk difference 61%, 95% confidence interval 53-69, P< 0.0001), with similar mean cumulative radiation exposure (9.9 vs. 9.4 mSv, P = 0.20). Invasive coronary angiography was cancelled in 61% after receiving CTA/FFR(CT) results. Among those with intended non-invasive testing, the rates of finding no obstructive CAD at ICA were 13% (CTA/FFR(CT)) and 6% (usual care; P = 0.95). Clinical event rates within 90 days were low in usual care and CTA/FFR(CT) arms.
CONCLUSIONS: Computed tomographic angiography/fractional flow reserve by CTA was a feasible and safe alternative to ICA and was associated with a significantly lower rate of invasive angiography showing no obstructive CAD.
© The Author 2015. Published by Oxford University Press on behalf of the European Society of Cardiology.

Entities:  

Keywords:  Angina; Coronary computed tomographic angiography; Fractional flow reserve; Non-invasive testing

Mesh:

Year:  2015        PMID: 26330417      PMCID: PMC4677273          DOI: 10.1093/eurheartj/ehv444

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


Introduction

Stable chest pain is a common clinical presentation that often requires further investigation using non-invasive or invasive testing.[1] The goals of testing include clarifying the diagnosis, documenting the presence or absence of coronary artery disease (CAD), and directing subsequent care, whether revascularization, intensified medical treatment, or both, while maximizing efficiency and patient safety.[2] The recently completed PROMISE[3] and SCOT-HEART[4] trials suggest that an evaluation strategy based on coronary computed tomographic angiography (CTA) increases diagnostic certainty, improves efficiency of triage to invasive catheterization, and may reduce radiation exposure when compared with functional stress testing, with similar rates of cardiac events. Moreover, in PROMISE, CTA increased the rate of invasive catheterization by almost 50% compared with functional testing, and over a quarter of these patients did not have obstructive CAD identified by invasive angiography. Since CTA provided only anatomic information and invasive fractional flow reserve (FFR) was rarely used, revascularizations guided by a CTA strategy were generally performed without evidence of the functional significance of coronary stenoses, at variance with practice guidelines.[5] This is an important consideration since CTA in PROMISE doubled the rate of coronary revascularization compared with functional testing. A diagnostic strategy that provides both anatomic and functional data could address this limitation and potentially afford enhanced efficiency and safety. Recently, a non-invasive method to determine the haemodynamic significance of coronary stenoses has been developed that computes the fractional flow reserve by computed tomographic angiography (FFRCT) based on computational fluid dynamics and simulated maximal coronary hyperaemia.[6] Fractional flow reserve by computed tomographic angiography has been validated against invasively measured FFR as a reference standard,[7-9] but there are no data on the clinical utility of this new method and how its use may affect patient care and clinical outcomes. The present study was designed to test the hypotheses that patients with suspected CAD evaluated using a CTA/FFRCT-guided strategy would have fewer invasive angiograms that showed no obstructive CAD than would patients who were evaluated based on standard practice, and would have similar and low rates of major cardiac events.

Methods

Study design

PLATFORM is a prospective, consecutive cohort study utilizing a comparative effectiveness observational design (ClinicalTrials.gov number NCT01943903).[10] The study was conducted with fidelity to the protocol (see Supplementary material online). Local or central institutional review boards approved the study at the 11 enrolling European sites and at Duke Clinical Research Institute (DCRI); all subjects provided written informed consent.

Study participants

PLATFORM subjects were symptomatic outpatients ≥18 years old without known CAD, but with an intermediate likelihood of obstructive CAD, whose physician had planned non-emergent, non-invasive, or invasive cardiovascular testing to evaluate suspected CAD. Exclusion criteria were (i) acute coronary syndrome or clinical instability, (ii) previously documented CAD, (iii) contraindications to CTA, and (iv) needed emergent or urgent procedure. Additional exclusion criteria included recent cardiovascular testing (<90 days) (see Supplementary material online, for full inclusion and exclusion criteria).

Study procedures

Subjects were enrolled in two consecutive cohorts assigned to receive the planned usual care testing or CTA/FFRCT testing. All sites enrolled patients into both cohorts, and each site had to complete enrolment of the planned number of usual care subjects before enrolling any CTA/FFRCT subjects. Each cohort was subdivided into two groups based on the evaluation plan decided upon before enrolment in the study: non-invasive testing (any form of stress testing or CTA without FFRCT) or invasive coronary angiography (ICA) (Figure ). For balance, no centre could enrol >30 subjects in either planned non-invasive group or >145 subjects in the trial. Enrolment, allocation, and follow-up of the study patients. NI, non-invasive; ICA, invasive coronary angiography; FFRCT, computation of fractional flow reserve from coronary computed tomographic angiography data; CTA, computed tomographic angiography; PCI, percutaneous coronary intervention; CABG, coronary artery bypass grafting. *One subject withdrew consent for use of any of his/her data. In keeping with relevant national law, this subject is not included in any data listing or analysis. In the CTA/FFRCT cohort, all subjects underwent CTA instead of the planned non-invasive or invasive evaluation. Fractional flow reserve by computed tomographic angiography analyses were performed centrally when requested by the site (recommended if the CTA revealed ≥30% stenosis or if the patient was referred to ICA). Optimal medical therapy was encouraged in all groups, and local physicians made all subsequent clinical decisions following standard practice,[2] including cancelling or ordering additional testing or procedures. Follow-up visits were performed at 90 days, 6 months, and 12 months from study entry. Enrolment began on 10 September 2013 and was completed on 26 November 2014. There were no major protocol amendments. This article reports 90-day clinical results.

Diagnostic non-invasive and invasive testing

All usual care testing, including CTA, was performed and interpreted locally according to standard practices at the enrolling site. All CTAs utilized a ≥64-slice multi-detector, single- or dual-source CT scanner and followed scanning protocols satisfying Society of Cardiac Computed Tomography quality standards.[11] An independent angiographic core laboratory (DCRI) performed all quantitative coronary angiography (QCA) measurements using QAngio software (Medis, the Netherlands) according to standard procedures.[12,13] Fractional flow reserve by computed tomographic angiography analysis was performed centrally (HeartFlow) as previously described.[6-8] Briefly, three-dimensional blood flow simulations in the coronary vasculature were performed using proprietary software, with quantitative image quality analysis, image segmentation, and physiological modelling using computational fluid dynamics. Coronary blood flow was simulated under conditions that modelled intravenous adenosine to mirror pressure and flow data and the FFR numeric values that would have been obtained during an invasive evaluation. Data provided to the clinical site included the lowest FFRCT numeric value in each coronary distribution, and colour-scale representations of the coronary tree showing FFRCT values in all vessels >1.8 mm in diameter (see Supplementary material online for a sample FFRCT report).

Effectiveness and safety endpoints

The primary endpoint was the rate of ICA within 90 days that showed no obstructive CAD in patients who had invasive testing planned before enrolment, comparing those receiving usual care to those allocated to CTA/FFRCT. Obstructive disease was defined as either (i) an invasively measured FFR ≤ 0.80 in any segment, regardless of degree of stenosis, or (ii) QCA stenosis ≥50% in a vessel ≥2.0 mm diameter without an invasively measured FFR > 0.80 in the same distribution (see Supplementary material online, for endpoint definitions). A secondary endpoint was the comparison of the rate of ICA with no obstructive CAD in those with planned non-invasive testing. The major safety endpoint was a composite of major adverse cardiovascular events (MACE) at 90 days: all-cause mortality, myocardial infarction (MI), and unplanned hospitalization for chest pain leading to urgent revascularization. An independent clinical events committee (DCRI) adjudicated all MACE in a blinded fashion based on standard, prospectively determined definitions.[14] Cumulative radiation exposure within 90 days of study entry included all cardiovascular tests and invasive procedures, including CTA, myocardial perfusion imaging, and ICA. Radiation exposure for study CTAs was calculated from dose length product measured in mGY × cm using the formula mSv = (dose length product) × 0.014, or was imputed using the median measured value; other exposures were imputed using standard published doses of 7 mSv for ICA, 15 mSv for percutaneous coronary intervention, and 14 mSv for myocardial perfusion imaging.[15]

Statistical analysis

The primary endpoint (rate of ICA showing no obstructive CAD in patients with invasive testing planned prior to enrolment) was compared between the usual care invasive testing vs. CTA/FFRCT-guided care arms. The risk difference and 95% confidence interval (CI) were determined, and a one-sided Wald test (α error = 0.025) for a risk difference <0 was used to evaluate whether CTA/FFRCT was superior to usual testing. Enrolment of 380 subjects in the planned invasive care arm (190 usual care and 190 CTA/FFRCT guided) was estimated to provide the study with 90% power to detect a 50% reduction in the frequency of ICA documenting non-obstructive CAD at a one-sided 0.025 level of significance, assuming an event rate of 30% in the usual care arm and 15% in the CTA/FFRCT-guided arm, and a dropout rate of 10%. All statistical assessments were independently confirmed by DCRI. All analyses were performed comparing patients as allocated, either in aggregate or within the planned non-invasive or invasive test groups. Exceptions to this include four additional analyses of the primary endpoint: (i) reanalysis in propensity score matched subpopulations of subjects using age, sex, diabetes, smoking status, and type of angina (see below); (ii) assessment in pre-specified subgroups: age, sex, race/ethnicity, diabetes status, pre-test probability of obstructive CAD (updated Diamond and Forrester score),[16] and country of enrolment; (iii) acceptable image quality population excluding subjects in the CTA/FFRCT arm with unavailable or uninterpretable CTA images; and (iv) best practices per protocol analysis as determined by independent central adjudication, excluding those CTA/FFRCT subjects who underwent ICA but for whom CTA/FFRCT did not support the need for ICA and those who did not undergo ICA but for whom CTA/FFRCT did support the need for ICA. Determination of the rate of invasive catheterization without obstructive coronary artery disease. NI, non-invasive; ICA, invasive coronary angiography; Obs CAD, obstructive coronary artery disease; FFRCT, computation of fractional flow reserve from coronary computed tomographic angiography data. Baseline characteristics were summarized and compared across usual care and CTA/FFRCT-guided care cohorts. Continuous variables are presented as mean ± SD and were compared using Student's t-test or the Wilcoxon rank-sum test. Categorical variables are presented as counts (percentages) and were compared using the Pearson χ2 test, or with Fisher's exact test if cell frequencies were not sufficient. The level of statistical significance was set to 0.0025 using the Bonferroni correction to adjust for multiple comparisons. Although extensive analysis of baseline characteristics indicated no significant differences between the cohorts, since group assignment was not randomized, a sensitivity analysis of the primary endpoint was performed using propensity score matching (see Supplemental material online for propensity scoring methods used). The propensity score was estimated based on age, sex, diabetes, smoking status, and type of angina using multivariable logistic regression, and subjects were matched using a greedy algorithm.[17] All analyses were performed using SAS version 9.3 (Cary, NC, USA), and a P-value of <0.05 was considered statistically significant, unless otherwise specified. No interim analyses were performed.

Results

Study population

The study population (Figure ) consisted of 584 enrolled and consented patients followed for 90 days. Complete 12-month follow-up is planned; 90-day data were obtained in 563 subjects (96.4%).

Baseline characteristics

Patient age averaged 60.9 years and 231 (39.6%) were women (Table ). Diabetes was present in 13.7%, hypertension in 54.3%, history of smoking in 53.9%, and dyslipidaemia in 34.8% (Table ). Typical chest pain was the presenting symptom in 123 (21.1%) and atypical pain in 435 (74.5%). The mean pre-test probability of obstructive CAD was 49 ± 17%. All baseline characteristics were similar between the usual care and FFRCT-guided care cohorts and within the planned non-invasive and invasive test groups. Baseline characteristics of the study participants, according to study group BMI, body mass index (weight in kilograms divided by the square of the height in metres); CAD, coronary artery disease; CT, computed tomographic angiography; SD, standard deviation. aIncludes hypertension, diabetes, dyslipidaemia, and tobacco use. bMean pre-test probability of obstructive CAD ± SD calculated by updated Diamond and Forrester score.[16]

Allocation and testing

Among the 204 participants who had a non-invasive test planned for cardiac evaluation, 100 were allocated to usual care (Figure ). The non-invasive tests performed are listed in Supplementary material online, . One hundred and four patients were allocated to CTA/FFRCT, and 39 patients (37.5%) had at least one site interpreted stenosis ≥50%. Fractional flow reserve by computed tomographic angiography was requested in 67 patients (64.4%), but was not completed in 7 (10.4%), due to poor image quality or inadequate acquisition. Among the 380 participants who had an invasive catheterization (ICA) planned, 187 were allocated to and received ICA (usual care) and 193 patients were allocated to and received a CTA/FFRCT; 118 patients (61%) had a stenosis ≥50%. Fractional flow reserve by computed tomographic angiography was requested in 134 (69.4%) but was not completed in 17 (12.7%). Overall, there was one reported adverse event from CTA testing, a mild contrast reaction.

Outcome measures

Rates of ICA and findings of no obstructive disease by QCA and/or FFR in the planned non-invasive testing group are shown in Table . There was no difference in the secondary endpoint of the cohort rate of ICA which did not show obstructive CAD according to QCA: 6.0% usual care vs. 12.5% CTA/FFRCT; P = 0.95 (Table ). Ninety-day outcomes according to study group CAD, coronary artery disease; CTA, computed tomographic angiography; MI, myocardial infarction; MACE, major adverse cardiovascular events; CI, confidence interval; IQR, inter-quartile range; SD, standard deviation. Among patients in the planned invasive testing groups, 187 patients (100%) underwent an ICA within 90 days in the usual care cohort, and 137 (73.3%) catheterizations did not show obstructive disease by QCA and/or FFR (Figure , Table ). In the CTA/FFRCT cohort, 76 (39.4%) underwent ICA, with 24 (31.6%) catheterizations showing no obstructive CAD. The primary endpoint of the rate of ICA which did not show obstructive CAD in the planned invasive testing group was found in substantially more subjects in the usual care arm at 137 (73.3%) of 187 compared with 24 (12.4%) of 193 in the CTA/FFRCT arm (risk difference 60.8%, 95% CI 53.0–68.7%, P < 0.0001). Propensity score matching resulted in inclusion of 148 patients in each group and yielded similar results (72% usual care vs. 12% CTA/FFRCT, P < 0.0001; see Supplementary material online, ), as did analysis of acceptable CTA image quality (CAD was not found in 11.4% of the CTA/FFRCT arm), and a best practices/per protocol analysis (obstructive CAD was not found in 7.2%). Results were also similar in all subgroups examined (see Supplementary material online, ). Only two MACE events occurred in the planned ICA group assigned to CTA/FFRCT-guided care. One was a peri-procedural MI in a subject whose CTA was of insufficient quality for FFRCT analysis, and the other was hospitalization for urgent revascularization following a CTA/FFRCT showing severe CAD. There were no events in the 61% of CTA/FFRCT patients in whom ICA was cancelled. Vascular complications were similarly rare (Table ). Rates of MACE and vascular complications were too low to assess non-inferiority. Cumulative radiation exposure in patients with an intended non-invasive evaluation is shown in Table . In patients with an intended invasive evaluation, cumulative radiation exposure to 90 days was similar in the usual care cohort (9.4 mSv) and the CTA/FFRCT cohort (9.9 mSv, P = 0.2). Across both CTA/FFRCT cohorts, CTA radiation averaged 5.2 ± 5.4 mSv (9.0 ± 6.7 mSv for retrospective scans, 3.0 ± 1.6 mSv for prospectively gated scans). There were no differences in rates of revascularization in subjects allocated to CTA/FFRCT vs. usual care in either the planned non-invasive or planned invasive testing arms; P = 0.29 and 0.58.

Information available for invasive catheterization and revascularization

In subjects in the planned non-invasive group proceeding to ICA or revascularization, there were no differences between the two arms in the proportion with functional data available (see Supplementary material online, ). In subjects in the planned invasive group proceeding to ICA, functional information was available in 83 of the 187 (44.4%) usual care subjects compared with 74 of 76 (97.4%) in the CTA/FFRCT group; P < 0.0001. Among those proceeding to revascularization, functional information was available in 30 of 59 (50.8%) in the usual care cohort vs. 53 of 55 (96.3%) patients in the CTA/FFRCT; P < 0.0001.

Discussion

Current guidelines recommend that stable chest pain patients be evaluated with non-invasive stress testing, yet the rates of invasive angiograms showing no obstructive CAD remain high.[18,19] The PLATFORM study showed that, in patients with planned ICA, a diagnostic strategy based on CTA/FFRCT yielded a significantly lower rate of ICA showing no obstructive CAD. In patients with planned non-invasive testing, there was no difference between use of CTA/FFRCT and usual care. Clinical events through 90 days were rare with either strategy. The goals of the diagnostic evaluation of patients with stable chest pain include identifying those individuals needing catheterization as well as those who cannot benefit, and providing optimal guidance for subsequent care. Two recent trials provide evidence that non-invasive visualization of the coronary arteries using CTA enhances diagnostic certainty and appropriately alters diagnostic and therapeutic plans, with comparable clinical outcomes.[3,4] However, CTA increased the rate of referral to ICA and revascularization by up to 50%.[3] Because the use of adjunctive invasive measures such as FFR to assess haemodynamic significance was rare, in keeping with current practice,[20] a CTA-only strategy resulted in revascularization with little understanding of the ischaemia-producing potential of coronary lesions, as recommended for appropriate revascularization and optimal outcomes.[5,21,22] Our data demonstrate that it is possible to obtain both anatomic and functional information non-invasively, and that doing so reduces the rate of finding no obstructive CAD at catheterization among those with planned ICA. The low adverse clinical event rate in PLATFORM is similar to recent trials[3,4] and indicates that studies of non-invasive testing in a contemporary chest pain population should, in addition to clinical events, consider use of endpoints such as changes in care plans, efficiency of diagnosis, and quality of information guiding care. To this end, the remarkable reduction in the primary endpoint of not finding obstructive CAD at ICA, and the lower overall rate of ICA, coupled with the higher rate of revascularizations informed by haemodynamic significance or ischaemia, suggest that use of CTA/FFRCT more effectively triages patients for invasive procedures than usual care strategies. The rate of finding no obstructive CAD in our usual care ICA patients was high, but was determined by core laboratory QCA. The corresponding rate using site visual readings was lower (57%), identical to population studies[19,20] reporting that 54–62% of elective catheterizations do not have obstructive disease. The higher rate by QCA is consistent with known differences between the two assessment techniques.[23] Although FFRCT is a relatively new technique, PLATFORM demonstrates that it is feasible and safe in busy clinical settings. Overall, 90% of CTAs had acceptable image quality for analysis, and radiation averaged 5.2 ± 5.4 mSv, less than the average level of 14 mSv noted in the literature for nuclear stress testing.[15] Use of FFRCT improved the availability of functional data available in those referred to ICA (96% CTA/FFRCT vs. 45% usual care), and those referred to revascularization (95% CTA/FFRCT vs. 55% usual care), allowing compliance with current recommendations supporting use of both anatomic and functional data in decision-making.[5] While still high, the rate of revascularization performed without functional data in usual care patients is improved from previous reports of 55%.[24] PLATFORM adds substantially to both the PROMISE and SCOT-HEART trials.[3,4] Compared with PROMISE, the addition of FFRCT functional information in PLATFORM to the anatomic CTA information prevented the reported ∼50% increase in catheterizations and revascularizations. PLATFORM builds on SCOT-HEART's finding of increased diagnostic certainty with CTA by noting cancellation of ICA in 61% of the CTA/FFRCT arm and a dramatically lower rate of finding no obstructive CAD. Like these studies, PLATFORM provides prospective data essential to evaluating and optimizing the role of non-invasive testing as a gatekeeper to catheterization. While PLATFORM has many strengths, it is important to note that the sample size and follow-up duration are insufficient to detect an impact on clinical outcomes. Although not randomized, PLATFORM differs substantially from most observational studies by requiring a carefully controlled ‘experimental’ intervention in the CTA/FFRCT groups, and core lab angiographic reading. The study's rigour is further enhanced by basing all analyses on the prospective allocation of patients into cohorts regardless of actual care. Use of an initial roll-in group of usual care ‘control’ patients provided a detailed, real-time snapshot of contemporaneous practice at enrolling centres, rather than using historical controls. Even in a randomized trial it would have been impossible to blind investigators to the results of testing since they are needed for clinicians to determine downstream care. Further, the current approach reflects clinical research trends favouring pragmatic design and effectiveness (vs. efficacy) evaluations. The multiple sensitivity analyses of the primary endpoint, yielding similar results, document that our findings are robust and free of significant verification bias. In conclusion, when used as an alternative diagnostic strategy to guide care in those with planned invasive catheterization, CTA/FFRCT was associated with a significantly lower rate of angiography showing no obstructive CAD.

Authors' contributions

K.C., D.C., A.W., and F.W.: performed statistical analysis. P.S.D., G.P., M.A.H., M.R.P., B.L.N., C.R., and B.D.B.: handled funding and supervision. G.P., B.L.N., R.A.B., N.C., I.P., M.G., G.R., U.H., H.W.S., G.F., M.G., D.A., J.M.J., and M.H.: acquired the data. P.S.D., G.P., M.A.H., M.R.P., B.L.N., C.R., and B.D.B.: conceived and designed the research. P.S.D.: drafted the manuscript. P.S.D., G.P., M.A.H., M.R.P., K.C., D.C., A.W., C.R., and B.D.B.: made critical revision of the manuscript for key intellectual content.

Supplementary material

Supplementary material is available at .

Funding

This work was supported by HeartFlow, Inc., Redwood City, CA, USA. Duke Clinical Research Institute independently performed QCA, adjudicated clinical events, and verified the primary and secondary endpoint determinations. There were no data confidentiality agreements. An Executive Committee oversaw trial design and study conduct, final data review, and presentation and publication of results, independently making the decision to publish. The investigators independently drafted the manuscript and take full responsibility for the accuracy and completeness of data analyses. Conflict of interest: P.S.D. has received grants from HeartFlow during the conduct of the study and other support from GE Medical Systems outside the submitted work; M.A.H. has received grants from HeartFlow during the conduct of the study; M.R.P. has received grants from HeartFlow during the conduct of the study, and grants from Jansen, Johnson & Johnson, Astra Zeneca, NHLBI, and AHRQ, and personal fees from Astra Zeneca, Bayer, and Otsuka outside the submitted work; R.A.B. has received grants from HeartFlow during the conduct of the study and personal fees from B. Braun, Biotronik, and Boston Scientific outside the submitted work; N.C. has received grants from Boston Scientific and Medtronic, and grants and personal fees from HeartFlow, Haemonectics, and St Jude Medical outside the submitted work; G.R. has received grants from HeartFlow during the conduct of the study, and personal fees from Saint Jude Medical and Boston Scientific outside the submitted work; D.A. has received grants and personal fees from GE Healthcare, outside the submitted work; M.H. has received grants from Siemens Healthcare outside the submitted work; K.C. has received support from HeartFlow during the conduct of the study; F.W. and C.R. have received personal fees and other support from HeartFlow during the conduct of the study and outside the submitted work; B.D.B. has received grants from Abbott, St. Jude Medical, and Medtronic, and other support from St. Jude Medical, Boston Scientific, Opsens, Omega Pharma, Siemens, Edwards, GE, Sanofi, HeartFlow, and Bayer outside the submitted work.
Table 1

Baseline characteristics of the study participants, according to study group

VariablePlanned non-invasive test (N = 204)
Planned invasive test (N = 380)
Usual care strategy (n = 100)FFRCT-guided strategy (n = 104)P-valueUsual care strategy (n = 187)FFRCT-guided strategy (n = 193)P-value
Demographics
 Age, mean ± SD (years)57.9 ± 10.759.5 ± 9.30.2563.4 ± 10.960.7 ± 10.20.02
 Female sex, no. (%)34 (34.0)44 (42.3)0.2279 (42.2)74 (38.3)0.44
 Racial/ethnic minority (self-reported), no. (%)5 (5.0)0 (0.0)0.062 (1.1)1 (0.5)0.60
Cardiac risk factors
 BMI, mean ± SD (kg/m2)26.0 ± 3.027.3 ± 3.90.0127.2 ± 3.827.1 ± 3.90.62
 Hypertension, no. (%)38 (38.0)57 (54.8)0.02111 (59.4)111 (57.5)0.72
 Diabetes, no. (%)8 (8.0)6 (5.8)0.5236 (19.3)30 (15.5)0.33
 Dyslipidaemia, no. (%)22 (22.0)28 (26.9)0.4976 (40.6)77 (39.9)0.81
 Current or past tobacco use, no. (%)52 (52.0)59 (56.7)0.50103 (55.1)101 (52.3)0.59
 Mean number of risk factors ± SDa1.2 ± 0.931.4 ± 0.920.921.7 ± 1.021.7 ± 1.090.41
 Pre-test probability of obstructive CAD ± SDb (%)44.5 ± 15.345.3 ± 16.80.8951.7 ± 16.749.4 ± 17.20.26
Relevant medications, no. (%)
 Aspirin29 (29.0)45 (43.3)0.039115 (61.5)90 (46.6)0.004
 Statin24 (24.0)29 (27.9)0.5883 (44.4)77 (39.9)0.37
Anginal type, no. (%)0.0180.09
 Typical angina8 (8.0)18 (17.3)52 (27.8)45 (23.3)
 Atypical angina91 (91.0)80 (76.9)122 (65.2)142 (73.6)
 Non-cardiac chest pain1 (1.0)6 (5.8)13 (7.0)5 (2.6)

BMI, body mass index (weight in kilograms divided by the square of the height in metres); CAD, coronary artery disease; CT, computed tomographic angiography; SD, standard deviation.

aIncludes hypertension, diabetes, dyslipidaemia, and tobacco use.

bMean pre-test probability of obstructive CAD ± SD calculated by updated Diamond and Forrester score.[16]

Table 2

Ninety-day outcomes according to study group

Planned non-invasive test (n = 204)
Planned invasive test (n = 380)
Usual care strategy (n = 100)FFRCT-guided strategy (n = 104)P-valueUsual care strategy (n = 187)FFRCT-guided strategy (n = 193)P-value
Invasive catheterization without obstructive CAD by core lab quantitative coronary angiography
 No. (%)6 (6.0)13 (12.5)0.95137 (73.3)24 (12.4)<0.0001
 Risk difference, % (95% CI)−6.5 (−14.4 to 1.4)60.8 (53.0–68.7)
Invasive catheterization without obstructive CAD by site interpretation
 No. (%)5 (5.0)8 (7.7)0.79106 (56.7)18 (9.3)<0.0001
 Risk difference (95% CI)−2.7 (−9.4 to 4.0)47.4 (39.2–55.6)
Secondary endpoint composite, MACE, no. (%)0002 (1.0)
 All-cause death0000
 Non-fatal MI0001 (0.5)
 Hospitalization with urgent revascularization0001 (0.5)
MACE or vascular complications, no. (%)01 (1.0)2 (1.1)7 (3.6)
Cumulative radiation exposure (enrolment to 90 days)0.00020.20
Mean ± SD (mSv)5.8 ± 7.18.8 ± 9.99.4 ± 4.99.9 ± 8.7
Median (IQR) (mSv)2.3 (0–9.3)3.9 (2.4–11.6)7.0 (7.0–7.0)7.9 (2.6–16.3)

CAD, coronary artery disease; CTA, computed tomographic angiography; MI, myocardial infarction; MACE, major adverse cardiovascular events; CI, confidence interval; IQR, inter-quartile range; SD, standard deviation.

  23 in total

1.  2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention. A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Society for Cardiovascular Angiography and Interventions.

Authors:  Glenn N Levine; Eric R Bates; James C Blankenship; Steven R Bailey; John A Bittl; Bojan Cercek; Charles E Chambers; Stephen G Ellis; Robert A Guyton; Steven M Hollenberg; Umesh N Khot; Richard A Lange; Laura Mauri; Roxana Mehran; Issam D Moussa; Debabrata Mukherjee; Brahmajee K Nallamothu; Henry H Ting
Journal:  J Am Coll Cardiol       Date:  2011-11-07       Impact factor: 24.094

2.  2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology.

Authors:  Gilles Montalescot; Udo Sechtem; Stephan Achenbach; Felicita Andreotti; Chris Arden; Andrzej Budaj; Raffaele Bugiardini; Filippo Crea; Thomas Cuisset; Carlo Di Mario; J Rafael Ferreira; Bernard J Gersh; Anselm K Gitt; Jean-Sebastien Hulot; Nikolaus Marx; Lionel H Opie; Matthias Pfisterer; Eva Prescott; Frank Ruschitzka; Manel Sabaté; Roxy Senior; David Paul Taggart; Ernst E van der Wall; Christiaan J M Vrints; Jose Luis Zamorano; Stephan Achenbach; Helmut Baumgartner; Jeroen J Bax; Héctor Bueno; Veronica Dean; Christi Deaton; Cetin Erol; Robert Fagard; Roberto Ferrari; David Hasdai; Arno W Hoes; Paulus Kirchhof; Juhani Knuuti; Philippe Kolh; Patrizio Lancellotti; Ales Linhart; Petros Nihoyannopoulos; Massimo F Piepoli; Piotr Ponikowski; Per Anton Sirnes; Juan Luis Tamargo; Michal Tendera; Adam Torbicki; William Wijns; Stephan Windecker; Juhani Knuuti; Marco Valgimigli; Héctor Bueno; Marc J Claeys; Norbert Donner-Banzhoff; Cetin Erol; Herbert Frank; Christian Funck-Brentano; Oliver Gaemperli; José R Gonzalez-Juanatey; Michalis Hamilos; David Hasdai; Steen Husted; Stefan K James; Kari Kervinen; Philippe Kolh; Steen Dalby Kristensen; Patrizio Lancellotti; Aldo Pietro Maggioni; Massimo F Piepoli; Axel R Pries; Francesco Romeo; Lars Rydén; Maarten L Simoons; Per Anton Sirnes; Ph Gabriel Steg; Adam Timmis; William Wijns; Stephan Windecker; Aylin Yildirir; Jose Luis Zamorano
Journal:  Eur Heart J       Date:  2013-08-30       Impact factor: 29.983

3.  2014 ACC/AHA Key Data Elements and Definitions for Cardiovascular Endpoint Events in Clinical Trials: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (Writing Committee to Develop Cardiovascular Endpoints Data Standards).

Authors:  Karen A Hicks; James E Tcheng; Biykem Bozkurt; Bernard R Chaitman; Donald E Cutlip; Andrew Farb; Gregg C Fonarow; Jeffrey P Jacobs; Michael R Jaff; Judith H Lichtman; Marian C Limacher; Kenneth W Mahaffey; Roxana Mehran; Steven E Nissen; Eric E Smith; Shari L Targum
Journal:  J Am Coll Cardiol       Date:  2014-12-29       Impact factor: 24.094

4.  Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study.

Authors:  Bon-Kwon Koo; Andrejs Erglis; Joon-Hyung Doh; David V Daniels; Sanda Jegere; Hyo-Soo Kim; Allison Dunning; Tony DeFrance; Alexandra Lansky; Jonathan Leipsic; James K Min
Journal:  J Am Coll Cardiol       Date:  2011-11-01       Impact factor: 24.094

5.  Revascularization decisions in patients with stable angina and intermediate lesions: results of the international survey on interventional strategy.

Authors:  Gabor G Toth; Balint Toth; Nils P Johnson; Frederic De Vroey; Luigi Di Serafino; Stylianos Pyxaras; Dan Rusinaru; Giuseppe Di Gioia; Mariano Pellicano; Emanuele Barbato; Carlos Van Mieghem; Guy R Heyndrickx; Bernard De Bruyne; William Wijns
Journal:  Circ Cardiovasc Interv       Date:  2014-10-21       Impact factor: 6.546

6.  Comparison of clinical interpretation with visual assessment and quantitative coronary angiography in patients undergoing percutaneous coronary intervention in contemporary practice: the Assessing Angiography (A2) project.

Authors:  Brahmajee K Nallamothu; John A Spertus; Alexandra J Lansky; David J Cohen; Philip G Jones; Faraz Kureshi; Gregory J Dehmer; Joseph P Drozda; Mary Norine Walsh; John E Brush; Gerald C Koenig; Thad F Waites; D Scott Gantt; George Kichura; Richard A Chazal; Peter K O'Brien; C Michael Valentine; John S Rumsfeld; Johan H C Reiber; Joann G Elmore; Richard A Krumholz; W Douglas Weaver; Harlan M Krumholz
Journal:  Circulation       Date:  2013-03-07       Impact factor: 29.690

7.  Fractional flow reserve-guided PCI for stable coronary artery disease.

Authors:  Bernard De Bruyne; William F Fearon; Nico H J Pijls; Emanuele Barbato; Pim Tonino; Zsolt Piroth; Nikola Jagic; Sven Mobius-Winckler; Gilles Rioufol; Nils Witt; Petr Kala; Philip MacCarthy; Thomas Engström; Keith Oldroyd; Kreton Mavromatis; Ganesh Manoharan; Peter Verlee; Ole Frobert; Nick Curzen; Jane B Johnson; Andreas Limacher; Eveline Nüesch; Peter Jüni
Journal:  N Engl J Med       Date:  2014-09-01       Impact factor: 91.245

8.  Diagnostic accuracy of fractional flow reserve from anatomic CT angiography.

Authors:  James K Min; Jonathon Leipsic; Michael J Pencina; Daniel S Berman; Bon-Kwon Koo; Carlos van Mieghem; Andrejs Erglis; Fay Y Lin; Allison M Dunning; Patricia Apruzzese; Matthew J Budoff; Jason H Cole; Farouc A Jaffer; Martin B Leon; Jennifer Malpeso; G B John Mancini; Seung-Jung Park; Robert S Schwartz; Leslee J Shaw; Laura Mauri
Journal:  JAMA       Date:  2012-09-26       Impact factor: 56.272

9.  Physician decision making and trends in the use of cardiac stress testing in the United States: an analysis of repeated cross-sectional data.

Authors:  Joseph A Ladapo; Saul Blecker; Pamela S Douglas
Journal:  Ann Intern Med       Date:  2014-10-07       Impact factor: 25.391

10.  Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps).

Authors:  Bjarne L Nørgaard; Jonathon Leipsic; Sara Gaur; Sujith Seneviratne; Brian S Ko; Hiroshi Ito; Jesper M Jensen; Laura Mauri; Bernard De Bruyne; Hiram Bezerra; Kazuhiro Osawa; Mohamed Marwan; Christoph Naber; Andrejs Erglis; Seung-Jung Park; Evald H Christiansen; Anne Kaltoft; Jens F Lassen; Hans Erik Bøtker; Stephan Achenbach
Journal:  J Am Coll Cardiol       Date:  2014-01-30       Impact factor: 24.094

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  144 in total

1.  Acute coronary syndromes: Utility of measuring fractional flow reserve by CT angiography in patients with suspected CAD.

Authors:  Karina Huynh
Journal:  Nat Rev Cardiol       Date:  2015-09-15       Impact factor: 32.419

Review 2.  Reasons and implications of agreements and disagreements between coronary flow reserve, fractional flow reserve, and myocardial perfusion imaging.

Authors:  Manish Motwani; Mahsaw Motlagh; Anuj Gupta; Daniel S Berman; Piotr J Slomka
Journal:  J Nucl Cardiol       Date:  2015-12-29       Impact factor: 5.952

Review 3.  Clinical Application of Fractional Flow Reserve-Guided Percutaneous Coronary Intervention for Stable Coronary Artery Disease.

Authors:  Valay Parikh; Kanishk Agnihotri; Sabeeda Kadavath; Nileshkumar J Patel; J Dawn Abbott
Journal:  Curr Cardiol Rep       Date:  2016-04       Impact factor: 2.931

4.  Identification of Patients With Stable Chest Pain Deriving Minimal Value From Noninvasive Testing: The PROMISE Minimal-Risk Tool, A Secondary Analysis of a Randomized Clinical Trial.

Authors:  Christopher B Fordyce; Pamela S Douglas; Rhonda S Roberts; Udo Hoffmann; Hussein R Al-Khalidi; Manesh R Patel; Christopher B Granger; John Kostis; Daniel B Mark; Kerry L Lee; James E Udelson
Journal:  JAMA Cardiol       Date:  2017-04-01       Impact factor: 14.676

Review 5.  Noninvasive Imaging to Evaluate Women With Stable Ischemic Heart Disease.

Authors:  Lauren A Baldassarre; Subha V Raman; James K Min; Jennifer H Mieres; Martha Gulati; Nanette K Wenger; Thomas H Marwick; Chiara Bucciarelli-Ducci; C Noel Bairey Merz; Dipti Itchhaporia; Keith C Ferdinand; Carl J Pepine; Mary Norine Walsh; Jagat Narula; Leslee J Shaw
Journal:  JACC Cardiovasc Imaging       Date:  2016-04

6.  Editorial to 1-year outcomes of FFRCT-guided care in patients with suspected coronary disease.

Authors:  Iryna Lobanova; Adnan I Qureshi
Journal:  Cardiovasc Diagn Ther       Date:  2017-06

7.  The diagnostic performance of SPECT-MPI to predict functional significant coronary artery disease by fractional flow reserve derived from CCTA (FFRCT): sub-analysis from ACCURACY and VCT001 studies.

Authors:  Rine Nakanishi; Kazuhiro Osawa; Indre Ceponiene; Glenn Huth; Jason Cole; Michael Kim; Negin Nezarat; Sina Rahmani; Dong Li; Souma Gupta; Campbell Rogers; Christopher Dailing; Matthew J Budoff
Journal:  Int J Cardiovasc Imaging       Date:  2017-07-11       Impact factor: 2.357

8.  Does FFRCT have proven utility as a gatekeeper prior to invasive angiography?

Authors:  Edward A Hulten
Journal:  J Nucl Cardiol       Date:  2017-07-05       Impact factor: 5.952

Review 9.  Imaging the myocardial ischemic cascade.

Authors:  Arthur E Stillman; Matthijs Oudkerk; David A Bluemke; Menko Jan de Boer; Jens Bremerich; Ernest V Garcia; Matthias Gutberlet; Pim van der Harst; W Gregory Hundley; Michael Jerosch-Herold; Dirkjan Kuijpers; Raymond Y Kwong; Eike Nagel; Stamatios Lerakis; John Oshinski; Jean-François Paul; Riemer H J A Slart; Vinod Thourani; Rozemarijn Vliegenthart; Bernd J Wintersperger
Journal:  Int J Cardiovasc Imaging       Date:  2018-03-19       Impact factor: 2.357

10.  The impact of small motion on the visualization of coronary vessels and lesions in cardiac CT: A simulation study.

Authors:  Francisco Contijoch; J Webster Stayman; Elliot R McVeigh
Journal:  Med Phys       Date:  2017-05-26       Impact factor: 4.071

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