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Radiology: Cardiothoracic Imaging logoLink to Radiology: Cardiothoracic Imaging
. 2019 Jun 27;1(2):e190021. doi: 10.1148/ryct.2019190021

Prognosis of CT-derived Fractional Flow Reserve in the Prediction of Clinical Outcomes

Charis G McNabney 1, Stephanie L Sellers 1, Ryan J A Wilson 1, Shmuel Hart 1, Samuel A Rosenblatt 1, Darra T Murphy 1, Philipp Blanke 1, Amir A Ahmadi 1, Jaydeep Halankar 1, Adrian Attinger-Toller 1, Marcelo Godoy Zamorano 1, Janice Wong Li Yu 1, Bjarne L Nørgaard 1, Jonathon A Leipsic 1,, Jonathan R Weir-McCall 1
PMCID: PMC7970101  PMID: 33778504

Abstract

Purpose

To examine the prognostic implication of fractional flow reserve (FFR) derived from coronary CT (FFRCT) in routine clinical practice.

Materials and Methods

Patients referred for FFRCT analysis at a single center between October 2015 and June 2017 were retrospectively included and followed up for rates of invasive angiography and clinical events. Two hundred seven patients underwent successful FFRCT analysis with seven lost to follow-up, leaving 200 (mean age ± standard deviation, 62.4 years ± 10.0; 49 [24.5%] women) patients for analysis. At coronary CT angiography, patients were categorized as having significant stenosis (SS) in the presence of a diameter stenosis greater than or equal to 50% (hereafter, SS positive) and flow limitation in the presence of a postlesion (that is, FFRCT measured 2 cm to the distal aspect of the lesion) FFRCT less than 0.80 (hereafter, FFRCT positive). Vessel-oriented clinical events (VOCEs) were defined as vessel-related late revascularization (>90 days), myocardial infarction, and cardiac mortality.

Results

At CT angiography, 130 (65%) studies were SS positive and 63 (31.5%) were FFRCT positive. At median follow-up of 477 days (range, 252–859 days), there were 26 VOCE end points in 22 patients: 22 revascularizations and four nonfatal myocardial infarctions. VOCE end points occurred in zero of 58 (0%) of SS-negative and FFRCT negative patients, in eight of 79 (10.1%) of SS-positive and FFRCT-negative patients, in zero of 12 (0%) of SS-negative and FFRCT-positive patients, and in 18 of 51 (35.3%) of SS-positive and FFRCT-positive patients (log-rank χ2 = 30.1; P < .001). At multivariable Cox regression, both FFRCT (hazard ratio per 0.1 decrease, 1.54 [95% confidence interval: 1.1, 2.2] P = .013) and stenosis (hazard ratio per unit increase, 2.16 [95% confidence interval: 1.25, 3.72] P = .006) were independently associated with VOCE.

Conclusion

Stenosis and FFRCT are independent predictors of intermediate-term outcomes. In the absence of a stenosis greater than 50%, a positive FFRCT result is not associated with an increased intermediate risk.

© RSNA, 2019

Supplemental material is available for this article.

See also commentary by Fairbairn and Bull in this issue.


Summary

In this single-center real-world experience of intermediate-term outcomes, it was demonstrated that at a median follow-up of more than 1 year, a positive result at fractional flow reserve (FFR) derived from CT (or FFRCT) analysis was associated with a significantly increased risk of late revascularization and myocardial infarction.

Key Points

  • ■ Stenosis and fractional flow reserve (FFR) derived from CT (FFRCT) are independent predictors of intermediate-term clinical outcomes.

  • ■ At a median follow-up of more than 1 year, a positive result at FFRCT analysis was associated with a significantly increased risk of late revascularization and myocardial infarction. There were no myocardial infarctions or deaths in the presence of a negative FFRCT finding at follow-up.

Introduction

In stable coronary artery disease, percutaneous coronary intervention guided by angiographic stenosis has not been shown to be superior to optimal medical therapy for reduction of adverse events (1,2). However, superior health and economic outcomes have been achieved with ischemia-guided percutaneous coronary intervention when compared with both optimal medical therapy and angiographic-guided percutaneous coronary intervention (36). In spite of the benefit of a functional rather than an anatomically driven revascularization strategy, physiologic testing prior to percutaneous coronary intervention is low (7). Despite an 18-fold increase in fractional flow reserve (FFR) utilization following the publication of the original Angiography for Multivessel Evaluation (or FAME) trial, FFR has been reported to be used for only 6.1% of patients with intermediate coronary stenosis (8,9).

FFR derived from CT (FFRCT) is a noninvasive alternative for physiologic evaluation of coronary artery disease. Rather than direct pressure measurements as performed in invasive FFR or instantaneous wave-free ratio, FFRCT uses computational fluid dynamics to estimate the FFR. It has a high diagnostic accuracy for the detection of flow-limiting stenosis and correlates well with invasive FFR, although FFRCT has not yet been directly compared with the instantaneous wave-free ratio (10). FFRCT allows accurate identification of ischemia-inducing stenosis to guide management and has been shown to safely allow deferral of invasive angiography in the setting of clinical trials, as well as real-world clinical practice (1113). Although the short-term outcomes and impact of FFRCT on revascularization and resource utilization has been examined, the prognosis of FFRCT on intermediate-term (1–2 years) outcomes has not been previously reported in a real-world environment.

The aim of the current study was to evaluate the intermediate-term prognostic importance of FFRCT for vessel-oriented clinical events (VOCEs) with the hypothesis that FFRCT would predict the occurrence of adverse clinical outcomes.

Materials and Methods

Study Cohort

This was a single-center, retrospective, nonrandomized observational study. Patients who underwent coronary CT angiography examination at St Paul’s Hospital (Vancouver, British Columbia, Canada) with a subsequent clinically indicated FFRCT analysis between October 2015 and June 2017 were included in the study. Patients were excluded if they had undergone prior coronary artery bypass graft surgery or percutaneous coronary intervention, or if they were found to have an anomalous coronary origin. The study was approved by the institutional research ethics board of British Columbia (H16–02450 “FFRCT in Patient Populations’’). The research ethics board waived the need for consent for this retrospective observational study. Patient demographics, past medical history, cardiovascular risk factors, and patient outcomes were collected from a self-reported questionnaire and from medical records. The study was partly funded by HeartFlow (Redwood City, Calif) through the provision of the FFRCT analysis. The funders had no role in the data collection, analysis, preparation of the manuscript, or the decision to submit. Authors who are not consultants to HeartFlow had control of inclusion of any data and information that might present a conflict of interest.

Coronary CT Angiography Acquisition and FFRCT

Coronary CT angiography examinations were performed by using either a 64-row (Discovery 750HD) or 256-row (Revolution; GE Healthcare, Waukesha, Wis) CT scanner. Scan acquisition was performed in accordance with Society of Cardiovascular Computed Tomography (or SCCT) best practice guidelines with tube voltage altered according to body mass index (14). The tube current was modulated by using Auto mA (GE Healthcare). Sublingual nitroglycerin spray (0.8 mg) and optimal heart rate control were strictly adhered to. The contrast agent used was iodixanol (320 mg I/mL), using a triphasic contrast material injection protocol (administered at 5.5 mL/sec) with the contrast material volume given typically at 70 mL/sec (reduced dose used in those with chronic kidney disease). Coronary CT angiography data sets were sent for FFRCT analysis at the discretion of the reporting clinician. Patients with an intermediate stenosis (50%–69%) were routinely referred for FFRCT; however, stenosis less than 50% and greater than or equal to 70% could be referred if deemed appropriate by the reporting physician or at the request of the referring clinician.

Coronary CT Angiography Evaluation

Each coronary segment was evaluated for the presence of coronary artery disease by using the 18-segment model, and the degree of luminal stenosis was graded as 0%, less than 25%, 25%–49%, 50%–69%, 70%–99%, and occluded in accordance with SCCT guidelines (15). Lesions causing a reduction greater than or equal to 50% in luminal diameter were considered obstructive. Patients were graded by using the Coronary Artery Disease Reporting and Data System (CAD-RADS) based on the most severe segmental stenosis, where 1 is 1%–24% stenosis, 2 is 25%–49% stenosis, 3 is 50%–69% stenosis, 4 is either 70%–99% stenosis or at least 50% stenosis in the left main, and 5 is at least one occluded segment (16). Results were further stratified into positive or negative for significant stenosis (SS) by using a diameter stenosis threshold of greater than or equal to 50% (CAD-RADS 3–5).

FFRCT Evaluation

FFRCT analyses were performed by a central core laboratory blinded to the CT angiography assessment (HeartFlow). On completion of FFRCT analysis, a three-dimensional patient-specific coronary model was provided from which FFRCT values were available at any given point along the length of the modeled coronary vessel. Coronary modeling with FFRCT data was limited to coronary vessels with a minimum luminal diameter of greater than 1 mm.

For each coronary lesion identified at coronary CT angiography, the location and severity of stenosis was correlated with the three-dimensional coronary model to ensure accurate anatomic modeling of the stenosis. For any anatomic stenosis greater than 25%, FFRCT values were obtained at 2 cm distal to the stenosis. An FFRCT threshold of less than 0.80 was prospectively set as being considered positive (hereafter, FFRCT positive) in accordance with previously published literature (17). FFRCT results were added as an addendum to the original coronary CT angiography report. Summary images were provided on the picture archiving and communication system, available at the time of treatment decision making.

Patient Follow-up

Follow-up of the study cohort was conducted through February 2018. The undertaking and timing of invasive coronary angiography (ICA), presence of SS at ICA (≥50% diameter stenosis), and coronary revascularization through percutaneous coronary intervention or coronary artery bypass graft surgery were recorded. A VOCE was defined as the presence of late vessel revascularization (defined as revascularization occurring >90 days after the initial diagnostic CT angiography), myocardial infarction (excluding periprocedural myocardial infarctions), or cardiac-related death.

Statistical Analysis

Continuous variables are presented as means ± standard deviations and categorical variables are presented as numbers. Normality of distribution of data were tested by using a Shapiro-Wilk test. Analyses were performed on a per-patient basis. Where more than one stenosis was present, the more severe of the two was used to categorize the patient. Continuous data were compared between groups by using an independent t test. Categorical data were compared between groups by using Pearson χ2 test or Fisher exact test as appropriate. Kaplan-Meier plots were generated by using VOCE as the end point, with censoring of the patients at their first event. A log-rank test was used to test the null hypothesis that the four groups were drawn from the same population. A Cox regression model was used to determine hazard ratios for VOCE for the presence of severe stenosis and FFRCT status. A multivariable Cox regression model was performed containing both stenosis status and FFRCT status, both as categorical (positive vs negative) and as continuous variables. As with the Kaplan-Meier analysis, patients were censored at their first event. Statistical analysis was performed by using software (SPSS Statistics, version 22; IBM, Armonk, NY).

Results

Patient Population and Demographics

Two hundred seventeen patients were included, with 207 (95.4%) undergoing successful FFRCT analysis. Ten of 217 (4.6%) patients were unable to be processed due to motion and misalignment, and an additional seven were excluded because the patients were lost to follow-up (3.4%) (Fig 1). A total of 200 patients (mean age ± standard deviation, 62.4 years ± 10.0; 49 [24.5%] women) were included in the final analysis. Among those referred for FFRCT, 28 of 200 (14%) were for typical chest pain, 92 of 200 (46%) were for atypical chest pain, 36 of 200 (18%) were for positive risk factors for coronary artery disease, 30 of 200 (15%) were following a positive stress test result, 10 of 200 (5%) were for dyspnea, and two of 200 (1%) were for preoperative work-up. Full patient demographics are provided in Table 1. The median length of follow-up was 477 days (interquartile range, 252–859 days).

Figure 1:

Figure 1:

Flowchart shows management strategy of all patients since undergoing coronary CT angiography, as stratified by using CT angiography and fractional flow reserve (FFR) derived from CT (FFRCT) status. ICA = invasive coronary angiography, MI = myocardial infarction, revasc = revascularization.

Table 1:

Baseline, CT Angiography, and Fractional Flow Reserve Characteristics of Study Participants

graphic file with name ryct.2019190021.tbl1.jpg

Note.—Unless otherwise specified, data are numbers, with percentages in parentheses. CAD-RADS = Coronary Artery Disease Reporting and Data System. Source.—Reference 15.

*Data are means ± standard deviation.

CAD-RAD status (stenosis severity): 1 = 1%–24% stenosis, 2 = 25%–49% stenosis, 3 = 50%–69% stenosis, 4 = 70%–99% stenosis or greater than 50% stenosis in the left main coronary artery, and 5 = 100% stenosis.

Rates of Anatomic Stenosis and Flow Limitation at Coronary CT Angiography

At coronary CT angiography, 130 of 200 (65%) patients had a diameter stenosis greater than or equal to 50% (hereafter, SS positive) and 70 of 200 (35%) had a diameter stenosis less than 50% (hereafter, SS negative). A total of 63 of 200 (31.5%) patients were FFRCT positive. Among the SS-positive patients, 51 of 130 (39%) were FFRCT positive and 79 of 130 (61%) were FFRCT negative. Among the SS-negative patients, 12 of 70 (17%) were FFRCT positive and 58 of 70 (83%) were FFRCT negative (Table 1; Figs 2, 3).

Figure 2a:

Figure 2a:

Images in a 40-year-old man with hyperlipidemia and ST changes noted in inferior leads at exercise stress test demonstrate relative disconnect between percentage stenosis and fractional flow reserve (FFR) derived from CT (FFRCT) status. (a) CT angiography demonstrates large ramus lesion graded as 70%–99% stenosis, which was (b) FFRCT negative (0.87). Patient was successfully treated with medical management with no vessel-oriented clinical events during follow-up.

Figure 3a:

Figure 3a:

Images in a 52-year-old woman with atypical chest pain and strong family history of coronary artery disease demonstrate relative disconnect between percentage stenosis and fractional flow reserve (FFR) derived from CT (FFRCT) status. (a) CT angiography demonstrates 25%–49% stenosis in midleft anterior descending artery; however, it was (b) FFRCT positive (0.77). Despite this finding, the patient was managed with medical therapy.

Figure 2b:

Figure 2b:

Images in a 40-year-old man with hyperlipidemia and ST changes noted in inferior leads at exercise stress test demonstrate relative disconnect between percentage stenosis and fractional flow reserve (FFR) derived from CT (FFRCT) status. (a) CT angiography demonstrates large ramus lesion graded as 70%–99% stenosis, which was (b) FFRCT negative (0.87). Patient was successfully treated with medical management with no vessel-oriented clinical events during follow-up.

Figure 3b:

Figure 3b:

Images in a 52-year-old woman with atypical chest pain and strong family history of coronary artery disease demonstrate relative disconnect between percentage stenosis and fractional flow reserve (FFR) derived from CT (FFRCT) status. (a) CT angiography demonstrates 25%–49% stenosis in midleft anterior descending artery; however, it was (b) FFRCT positive (0.77). Despite this finding, the patient was managed with medical therapy.

By using a CT angiography diameter stenosis of 70% as the definition of obstructive disease, 45 of 200 (22.5%) patients had a diameter stenosis greater than or equal to 70% and 155 of 200 (77.5%) had a diameter stenosis less than 70%. Among those with stenosis greater than 70%, 25 of 45 (56%) were FFRCT positive and 20 of 45 (44%) were FFRCT negative (Fig E1 [supplement]).

Those who were FFRCT positive were significantly more likely to have diameter stenosis greater than 70% reported at coronary CT angiography, and less likely to have mild stenosis when evaluated by using FFRCT status (P = .001 for trend). Stratification of patients by using CAD-RADS score and FFRCT status demonstrated that the frequency of patients classified as FFRCT positive increased with increasing CAD-RADs score (P = .001 for trend) (Fig 4); 12 of 64 (18.8%) of patients classified as CAD-RADS 2 were FFRCT positive, while 26 of 85 (30.6%) of patients classified as CAD-RADS 3 were FFRCT positive. Meanwhile, 23 of 43 (53.5%) of patients classified as CAD-RADS 4 were FFRCT positive.

Figure 4:

Figure 4:

Graph shows relative percentage of positive and negative fractional flow reserve (FFR) derived from CT (FFRCT) patients as per Coronary Artery Disease Reporting and Data System (CAD-RADS) score classification.

Among the 63 FFRCT-positive patients, 21 of 63 (33%) were in the “gray zone” of 0.75–0.80. Among these, one case was in a stenosis less than 25% (see Fig 3), one case was in a stenosis of 25%–49%, 16 patients were in stenosis of 50%–69%, and three patients were in stenosis of greater than or equal to 70%.

Rates of ICA and Revascularization in FFRCT-Positive and FFRCT-Negative Patients

Patients with lesion-specific ischemia, indicated by a positive poststenosis FFRCT value measured 2 cm to the distal aspect of the lesion, were significantly more likely to undergo ICA (FFRCT positive, 63.5% vs FFRCT negative, 30.0%; P < .001) and revascularization (FFRCT positive, 41% vs FFRCT negative, 15%; P < .001) (Figs 5, E2 [supplement]).

Figure 5:

Figure 5:

Graphs show frequency of obstructive (diameter stenosis [DS] >50%) and nonobstructive disease (DS <50%) at invasive coronary angiography (ICA) and frequency of subsequent percutaneous coronary intervention (PCI) at ICA with respect to lesion-specific fractional flow reserve (FFR) derived from CT (FFRCT) status.

Coronary CT Angiography Findings and VOCE Stratified by FFRCT Results

In total, there were 26 VOCE end points in 22 patients, composed of 22 revascularizations and four nonfatal myocardial infarctions. VOCE occurred in 18 of 63 patients (29%) classified as FFRCT positive. All myocardial infarctions were reported in the FFRCT-positive group (n = 4), with no events in the FFRCT-negative group (n = 0) (P = .009). Those who were FFRCT positive had a significantly higher incidence of late coronary revascularization compared with those who were FFRCT negative (FFRCT positive, 14 of 63 [22%] vs FFRCT negative, eight of 137 [6%]; P = .009) (Table 2).

Table 2:

Coronary CT Angiography Findings and Vessel-oriented Clinical Event End Points Stratified by Postlesion FFRCT Results

graphic file with name ryct.2019190021.tbl2.jpg

Note.—Data are numerators and denominators, with percentages in parentheses and 95% confidence intervals in brackets. CABG = coronary artery bypass graft surgery, CAD-RADS = Coronary Artery Disease Reporting and Data System, FFR = fractional flow reserve, FFRCT = FFR derived from CT, PCI = percutaneous coronary intervention.

Of the VOCE occurring in FFRCT-negative patients, six percutaneous coronary intervention and two coronary artery bypass graft procedures were performed. All patients exhibited stenosis greater than 50% at CT angiography. None of the six percutaneous coronary intervention patients had invasive FFR performed at ICA. Of the two coronary artery bypass graft procedures that occurred in the setting of a negative postlesion FFRCT, the first was due to the presence of a left main lesion with 50%–60% stenosis and the second was due to severe diffuse atherosclerosis that had no lesion-specific flow drop-off. Both were FFRCT positive at the distalmost aspect of the vessels but did not demonstrate translesional ischemia (postlesion FFRCT <0.80).

At Kaplan-Meier analysis (Fig 6), there was a significant difference in outcomes between the four groups (log-rank χ2 = 30.1; P <.001), with the combination of SS with flow limitation at FFRCT having the numerically poorest event-free survival curves for VOCE. Considering a CT angiography stenosis of 70% as being obstructive produced similar results (log-rank χ2 = 28.5; P < .001 for between-group differences) (Fig E3 [supplement]), with the exception that VOCE including a myocardial infarction occurred in those with a stenosis less than 70%, which was not the case for a stenosis less than 50%.

Figure 6:

Figure 6:

Kaplan-Meier plot for vessel-oriented clinical event (VOCE) according to presence or absence of severe stenosis (SS) and positive result at fractional flow reserve (FFR) derived from CT (FFRCT).

SS was associated with a significantly elevated risk of VOCE (hazard ratio, 47.1 [95% confidence interval {CI}: 1.4, 1594]; P = .03) compared with those with no SS. Positive FFRCT was also associated with a significantly elevated risk of VOCE (hazard ratio, 4.83 [95% CI: 2.0, 11.5]; P < .001) compared with those with a negative FFRCT. The combination of an SS and positive FFRCT was associated with an increased risk of VOCE (hazard ratio, 7.01 [95% CI: 3.0, 16.9]; P <.001) compared with those with only an SS, only a positive FFRCT, or neither. In a multivariable Cox regression model containing both SS and FFRCT, positive FFRCT (hazard ratio, 3.50 [95% CI: 1.47, 8.36]; P =.005) but not SS (hazard ratio, 318170 [95% CI: 0, 2.58 × 10146]; P = .94) was associated with VOCE. However, the model was unstable with extremely wide CIs due to the absence of events in those with a stenosis less than 50%. When a multivariable Cox regression model was run by using a stenosis threshold of greater than or equal to 70% as indicating an SS, both FFRCT positive (hazard ratio, 3.55 [95% CI: 1.44, 8.75]; P = .006) and stenosis greater than or equal to 70% (hazard ratio, 3.73 [95% CI: 1.56, 8.91]; P = .003) were independently associated with a significantly increased risk of VOCE. Similar results were achieved when the analysis was performed with FFRCT and the CAD-RADS score inserted as continuous variables (FFRCT hazard ratio per 0.1 decrease in FFRCT, 1.54 [95% CI: 1.1, 2.2]; P =.013; stenosis hazard ratio per unit increase in CAD-RADS score, 2.16 [95% CI: 1.25, 3.72]; P = .006).

Discussion

In this single-center real-world experience of intermediate-term outcomes, we demonstrated that at a median follow-up of more than 1 year, a positive finding at FFRCT analysis was prognostic for a significantly increased risk of late revascularization and myocardial infarction. Importantly, there were no myocardial infarctions or deaths in the presence of a negative FFRCT finding at follow-up. Combining the lesion-specific ischemia information from FFRCT with the presence of SS from CT angiography resulted in a further increase in the risk of VOCE compared with either measure alone.

The finding that FFRCT was a significant predictor of VOCE is concordant with the recent analysis of the optimal medical therapy arm of the FAME-2 trial, wherein invasive FFR positivity was the strongest predictor of a need for urgent revascularization (17). We also found the combination of severe stenosis with flow restriction to be a stronger predictor than either measure alone. Moreover, all myocardial infarctions occurred in patients with an SS and positive FFRCT finding, demonstrating the adverse implications of the combination of both stenosis and flow restriction. This is also consistent with a substudy of the FAME-2 trial showing that an increased risk of hard end points was only observed in the presence of both severe stenosis and flow limitation at invasive FFR (18). This may therefore highlight a group who are at highest risk for myocardial infarction and thus most likely to derive benefit from revascularization.

Importantly, within our analysis, FFRCT negativity provided a strong clinical warranty with no myocardial infarction or death occurring within 1 year. This suggests ICA can be safely deferred in the presence of a negative FFRCT result. Despite the wide CIs in the current study, the results are concordant with the Prospective Longitudinal Trial of FFRCT: Outcome and Resource Impacts (or PLATFORM) study, which observed no major adverse cardiovascular events in those in whom ICA was deferred in the setting of a negative FFRCT finding (19). However, a small number of VOCE occurred in those who were FFRCT negative in our study, with all these events being late revascularization. Among these patients who underwent revascularization despite being FFRCT negative, all exhibited a stenosis greater than 50%. Notably, the decision to revascularize was at the discretion of the clinical physician with many factors—both patient and physician centered—impacting this decision-making pathway (20). Furthermore, the relative novelty of FFRCT compared with a long-held practice of stenosis-based decision making likely contributed to this finding. Notably, of the two coronary artery bypass graft procedures that occurred in the setting of a negative postlesion FFRCT, both were FFRCT positive at the distalmost aspect of the vessels but did not demonstrate translesional ischemia (postlesion FFRCT negative) demonstrated by using FFRCT. Use of the most distal FFRCT substantially increases the sensitivity for flow limitation, but at a cost of a significant loss of specificity (21). At present, postlesional FFRCT is the recommended approach, but in the setting of diffuse atherosclerosis afflicting the length of the vessel or left main disease, it may be that distal FFRCT is the more appropriate metric to use. However, future prospective studies will be required to address this issue.

The current study demonstrated high rates of revascularization following ICA in those who were FFRCT positive, with 60% of those undergoing ICA being revascularized (comparable to the PLATFORM study where a revascularization rate of 50% was achieved [19]). That both the current study and a study by Jensen et al (12) have found a revascularization rate of 60% in those undergoing ICA following a positive FFRCT supports the translatability of these prior trial observations into routine clinical practice. It is notable that not all patients progress to the catheter laboratory for invasive testing even in the presence of stenosis and a positive FFRCT finding. This same phenomenon was observed in the Assessing Diagnostic Value of Noninvasive FFRCT in Coronary Care (or ADVANCE) registry, where 54% of patients with FFRCT-positive stenosis were treated medically (22). Given that a mortality benefit from FFR-driven revascularization is not present above an FFR of 0.67 (23), it is possible that clinicians are emboldened to follow a conservative approach when the FFR does not fall below this threshold; however, dedicated studies are required to specifically address the nuances of this issue. Furthermore, the threshold currently used for FFRCT for the definition of ischemia is based on the cutoff used for the invasive reference standard. However, it may be that an alternate threshold specific to FFRCT will more accurately define symptoms and risk, with this as the subject of ongoing investigation. We also observed a high acceptance rate of CT angiography studies for FFRCT analysis by the core laboratory of 95%, with a low rejection rate of 5%. Rejection rates as high as 33% have been reported such as in the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (or PROMISE) trial (24); however, our rates are far closer to the rejection rate of 13.2% in the Analysis of Coronary Blood Flow Using CT Angiography: Next Steps (or NXT) trial (13.2%) (10), and the rate of 2% reported in another study performed at a single high-throughput center (12,25). The concordance between our high rate of acceptance and the high rate of acceptance in this previous study from another academic center demonstrates the potential for high utilization rates of FFRCT when there is strict adherence to best image acquisition practices.

There were several limitations in our study. This was a single-center, retrospective, nonrandomized observational study. Thus, the results will be inherently affected by selection bias of patients referred for FFRCT evaluation, and physician bias for both ICA referral and decisions on revascularization. The lack of mandatory invasively measured FFR among those who had undergone ICA means no conclusions can be drawn on the patients with discordance between FFRCT findings and decisions regarding revascularization strategy. After all, although FFRCT correlates well with invasive FFR, there is variability between the techniques that may have accounted for some of the observed variance in outcomes. Because of an absence of events in the SS-FFR arm even at 2 years, the CIs are wide for the hazard ratio estimates and should thus be interpreted with caution. Larger conformational studies will be of benefit in this.

In conclusion, stenosis and FFRCT are independent predictors of intermediate-term outcomes. In the absence of SS, a positive result at FFRCT analysis is not associated with an increased intermediate risk.

SUPPLEMENTAL FIGURES

Figure E1:
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Figure E2:
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Figure E3:
ryct190021suppf3.jpg (68.8KB, jpg)

Supported in part by generous grants from the Arnold and Anita Silber and Syd and Joanne Belzberg Family Foundations

*

C.G.M. and S.L.S. contributed equally to this work.

Disclosures of Conflicts of Interest: C.G.M. disclosed no relevant relationships. S.L.S. disclosed no relevant relationships. R.J.A.W. disclosed no relevant relationships. S.H. disclosed no relevant relationships. S.A.R. disclosed no relevant relationships. D.T.M. disclosed no relevant relationships. P.B. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is a consultant for Circle Cardiovascular Imaging, Edwards Lifesciences, Gore, Neovasc, and Tendyne. Other relationships: disclosed no relevant relationships. A.A.A. disclosed no relevant relationships J.H. disclosed no relevant relationships. A.A.T. disclosed no relevant relationships. M.G.Z. disclosed no relevant relationships. J.W.L.Y. disclosed no relevant relationships. B.L.N. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: has grants/grants pending with HeartFlow and Siemens; received payment for travel/accommodations/meeting expenses unrelated to activities listed from HeartFlow. Other relationships: disclosed no relevant relationships. J.A.L. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is a consultant for Circle Cardiovascular Imaging and HeartFlow; has grants/grants pending with GE Healthcare; holds stock/stock options in Circle Cardiovascular Imaging and HeartFlow. Other relationships: disclosed no relevant relationships. J.R.W.M. disclosed no relevant relationships.

Abbreviations:

CAD-RADS
Coronary Artery Disease Reporting and Data System
CI
confidence interval
FFR
fractional flow reserve
FFRCT
FFR derived from CT
ICA
invasive coronary angiography
SS
significant stenosis
VOCE
vessel-oriented clinical event

References

  • 1.Boden WE, O’Rourke RA, Teo KK, et al. Optimal medical therapy with or without PCI for stable coronary disease. N Engl J Med 2007;356(15):1503–1516. [DOI] [PubMed] [Google Scholar]
  • 2.BARI 2D Study Group , Frye RL, August P, et al. A randomized trial of therapies for type 2 diabetes and coronary artery disease. N Engl J Med 2009;360(24):2503–2515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Pijls NH, Fearon WF, Tonino PA, et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention in patients with multivessel coronary artery disease: 2-year follow-up of the FAME (Fractional Flow Reserve Versus Angiography for Multivessel Evaluation) study. J Am Coll Cardiol 2010;56(3):177–184. [DOI] [PubMed] [Google Scholar]
  • 4.Fearon WF, Bornschein B, Tonino PA, et al. Economic evaluation of fractional flow reserve-guided percutaneous coronary intervention in patients with multivessel disease. Circulation 2010;122(24):2545–2550. [DOI] [PubMed] [Google Scholar]
  • 5.De Bruyne B, Pijls NH, Kalesan B, et al. Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med 2012;367(11):991–1001. [DOI] [PubMed] [Google Scholar]
  • 6.Xaplanteris P, Fournier S, Pijls NHJ, et al. Five-year outcomes with PCI guided by fractional flow reserve. N Engl J Med 2018;379(3):250–259. [DOI] [PubMed] [Google Scholar]
  • 7.Vavalle JP, Shen L, Broderick S, Shaw LK, Douglas PS. Effect of the presence and type of angina on cardiovascular events in patients without known coronary artery disease referred for elective coronary angiography. JAMA Cardiol 2016;1(2):232–234. [DOI] [PubMed] [Google Scholar]
  • 8.Pothineni NV, Shah NN, Rochlani Y, et al. U.S. trends in inpatient utilization of fractional flow reserve and percutaneous coronary intervention. J Am Coll Cardiol 2016;67(6):732–733. [DOI] [PubMed] [Google Scholar]
  • 9.Dattilo PB, Prasad A, Honeycutt E, Wang TY, Messenger JC. Contemporary patterns of fractional flow reserve and intravascular ultrasound use among patients undergoing percutaneous coronary intervention in the United States: insights from the National Cardiovascular Data Registry. J Am Coll Cardiol 2012;60(22):2337–2339. [DOI] [PubMed] [Google Scholar]
  • 10.Nørgaard BL, Leipsic J, Gaur S, et al. 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). J Am Coll Cardiol 2014;63(12):1145–1155. [DOI] [PubMed] [Google Scholar]
  • 11.Douglas PS, Pontone G, Hlatky MA, et al. 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. Eur Heart J 2015;36(47):3359–3367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jensen JM, Bøtker HE, Mathiassen ON, et al. Computed tomography derived fractional flow reserve testing in stable patients with typical angina pectoris: influence on downstream rate of invasive coronary angiography. Eur Heart J Cardiovasc Imaging 2018;19(4):405–414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Nørgaard BL, Hjort J, Gaur S, et al. Clinical use of coronary CTA-derived FFR for decision-making in stable CAD. JACC Cardiovasc Imaging 2017;10(5):541–550. [DOI] [PubMed] [Google Scholar]
  • 14.Abbara S, Blanke P, Maroules CD, et al. SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: a report of the society of Cardiovascular Computed Tomography Guidelines Committee. J Cardiovasc Comput Tomogr 2016;10(6):435–449. [DOI] [PubMed] [Google Scholar]
  • 15.Leipsic J, Abbara S, Achenbach S, et al. SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. J Cardiovasc Comput Tomogr 2014;8(5):342–358. [DOI] [PubMed] [Google Scholar]
  • 16.Cury RC, Abbara S, Achenbach S, et al. CAD-RADS(TM) Coronary Artery Disease - Reporting and Data System: an expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Cardiovasc Comput Tomogr 2016;10(4):269–281. [DOI] [PubMed] [Google Scholar]
  • 17.Tonino PA, Fearon WF, De Bruyne B, et al. Angiographic versus functional severity of coronary artery stenoses in the FAME study: fractional flow reserve versus angiography in multivessel evaluation. J Am Coll Cardiol 2010;55(25):2816–2821. [DOI] [PubMed] [Google Scholar]
  • 18.Ciccarelli G, Barbato E, Toth GG, et al. Angiography versus hemodynamics to predict the natural history of coronary stenoses: fractional flow reserve versus angiography in Multivessel Evaluation 2 substudy. Circulation 2018;137(14):1475–1485 [Published correction appears in Circulation 2018;137(22):e820.] 10.1161/CIRCULATIONAHA.117.028782. [DOI] [PubMed] [Google Scholar]
  • 19.Douglas PS, De Bruyne B, Pontone G, et al. 1-year outcomes of FFRCT-guided care in patients with suspected coronary disease: the PLATFORM study. J Am Coll Cardiol 2016;68(5):435–445. [DOI] [PubMed] [Google Scholar]
  • 20.Rajkumar CA, Nijjer SS, Cole GD, Al-Lamee R, Francis DP. Moving the goalposts into unblinded territory: the larger lessons of DEFER and FAME 2 and their implications for shifting end points in ISCHEMIA. Circ Cardiovasc Qual Outcomes 2018;11(3):e004665. [DOI] [PubMed] [Google Scholar]
  • 21.Kueh SH, Mooney J, Ohana M, et al. Fractional flow reserve derived from coronary computed tomography angiography reclassification rate using value distal to lesion compared to lowest value. J Cardiovasc Comput Tomogr 2017;11(6):462–467. [DOI] [PubMed] [Google Scholar]
  • 22.Fairbairn TA, Nieman K, Akasaka T, et al. Real-world clinical utility and impact on clinical decision-making of coronary computed tomography angiography-derived fractional flow reserve: lessons from the ADVANCE Registry. Eur Heart J 2018;39(41):3701–3711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Johnson NP, Tóth GG, Lai D, et al. Prognostic value of fractional flow reserve: linking physiologic severity to clinical outcomes. J Am Coll Cardiol 2014;64(16):1641–1654. [DOI] [PubMed] [Google Scholar]
  • 24.Lu MT, Ferencik M, Roberts RS, et al. Noninvasive FFR derived from coronary CT angiography: management and outcomes in the PROMISE trial. JACC Cardiovasc Imaging 2017;10(11):1350–1358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kitabata H, Leipsic J, Patel MR, et al. Incidence and predictors of lesion-specific ischemia by FFRCT: learnings from the international ADVANCE registry. J Cardiovasc Comput Tomogr 2018;12(2):95–100. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure E1:
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Figure E2:
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Figure E3:
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