Introduction
Coronary computed tomography angiography (CCTA) has been widely accepted as a reliable noninvasive assessment modality for excluding the presence of coronary artery significant obstructive disease (≥ 50% luminal narrowing) in low-to-intermediate-risk populations with a high negative predictive value [
1‐
3]. However, its diagnostic specificity for assessing obstructive coronary artery disease (CAD) is still suboptimal. For example, in severely calcified plaques, luminal stenosis is often overestimated owing to calcium blooming. More importantly, CCTA cannot provide hemodynamic information to determine whether a particular stenotic lesion is associated with hemodynamically significant ischemia i.e., lesion-specific ischemia [
4]. While exercise treadmill testing and stress echocardiography can assess overall ischemic burden, they are limited in locating lesion-specific ischemia on a per-vessel basis [
5]. Therefore, accurate and prompt assessment of lesion-specific ischemia is critical in the management of stable CAD to improve its clinical outcomes and benefits as myocardial blood flow can be improved by medical therapy or revascularization procedures such as percutaneous coronary intervention (PCI) or coronary artery bypass graft surgery (CABG) [
6].
Fractional flow reserve (FFR) is the gold standard for the assessment of lesion-specific ischemia to guide revascularization in stable CAD patients [
7]. Clinically, FFR is measured along with invasive coronary angiography (ICA) by placing a pressure guidewire beyond a stenotic lesion and measuring the ratio of mean distal coronary pressure to mean aortic pressure ratio under conditions of adenosine infusion to the maximum hyperemia. At present, invasive FFR has become a cornerstone in determining lesion-specific ischemia and appropriate decision-making [
8]. Whereas, invasive FFR requires additional expensive instruments, and clinical application of invasive FFR-informed treatment decision-making is relatively limited. Only 10% to 20% of revascularization procedures have incorporated invasive FFR results into the treatment decisions [
9].
Recently, FFR can be noninvasively calculated from anatomical CCTA data based on computational fluid dynamics (CFD) [
10]. This CT-based FFR (FFR
CT) does not need additional imaging and vasodilator administration. FFR
CT, the ratio of the maximum coronary blood flow through a stenotic artery to the blood flow assumed to be free of stenosis in that artery, has been validated to be useful in diagnosing and excluding lesion-specific ischemia [
11‐
13]. Compared with invasive FFR, FFR
CT can provide FFR information almost at any site along the entire epicardial coronary artery tree [
14]. Whereas the diagnostic accuracy of FFR
CT was previously determined by comparing a single measurement site corresponding to invasive FFR at a specific location within the coronary artery [
11‐
13]. Inconsistent measurement sites between FFR
CT and invasive FFR can lead to inconclusive diagnostic results and confuse decision-making [
15,
16]. Therefore, how to select an appropriate site along the coronary artery tree to measure FFR
CT is clinically relevant for the management of CAD. However, the optimal site to measure FFR
CT for a target lesion remains to be adequately determined.
In this single-center retrospective cohort study, CAD patients who had undergone both CCTA and invasive FFR were included. The diagnostic performances of FFRCT measured at different sites at 1 cm, 2 cm, and 3 cm distal to the lower border of the target lesion of the artery (FFRCT-1 cm, FFRCT-2 cm, FFRCT-3 cm), and the lowest FFRCT value at the distal vessel tip in which diameter larger than 1.5 mm (FFRCT-lowest) were assessed and compared with invasive FFR as the reference standard. The purpose of this study was to determine the optimal site to measure FFRCT for a target lesion in detecting lesion-specific ischemia in CAD patients.
Discussion
In this study, FFRCT measured at four different sites along the coronary arteries was used to identify lesion-specific ischemia using invasive FFR as the reference standard. Our results showed that FFRCT-2 cm had the highest accuracy (87.5%) and AUC (0.857) in identifying lesion-specific ischemia and FFRCT-lowest has the highest sensitivity and NPV than FFRCT-1 cm, FFRCT-2 cm, FFRCT-3 cm. CCTA (DS ≥ 50%) combined with either FFRCT-1 cm, FFRCT-2 cm, FFRCT-3 cm, or FFRCT-lowest showed higher AUC than CCTA alone in detecting lesion-specific ischemia.
Commonly, invasive FFR measurement is performed at one position selected 2-to-3 cm distal to the target lesion along coronary artery tree during ICA [
19]. Unlike invasive FFR, FFR
CT values can be obtained along the entire coronary arterial tree. Inappropriate FFR
CT measurement can mislead the clinical decision. However, there is no consensus about the best location to measure FFR
CT in clinical practice. Previously, Cami et al. [
16] used a CFD-based algorithm to measure FFR
CT value 10.5 mm (IQR 7.3–14.8 mm) distal to the stenosis in 26 patients with proximal LAD stenosis and found that it was a reliable location for measuring FFR
CT using invasive FFR measured 2-3 cm distal to the stenosis as reference standard. An expert panel [
23] based on the finding of Cami et al. [
16] advised to use the minimum FFR
CT values measured 1 to 2 cm distal to the stenosis as the result to judge the coronary lesion-specific ischemia. However, the measurement site proposed by Cami et al. [
16] was defined as the distance from the distal end of the target stenosis to the place where FFR
CT declined to a lower plateau. In a similar study by Omori et al. [
15], the diagnostic performance of FFR
CT measured at 1 to 2 cm distal to the stenosis was also found to be higher than that of FFR
CT-lowest (0.86 vs. 0.80,
p = 0.002) in identifying lesion-specific ischemia using invasive FFR as reference standard. In addition, Nozaki et al. [
18] used a CFD-based algorithm and found that the AUC of FFR
CT-2 cm was higher than that of FFR
CT-lowest (0.80 vs. 0.68,
p = 0.002) in identifying lesion-specific ischemia and was comparable with that of FFR
CT-1 cm (0.80 vs. 0.79,
p = 0.73). In a recent study by Chen et al. [
24] where a machine learning-based algorithm was applied, the AUC of FFR
CT-2 cm was found to be comparable with that of FFR
CT-1 cm (0.91 vs. 0.91,
p = 0.663) and was higher than that of FFR
CT-3 cm (0.91 vs. 0.88,
p = 0.002) and FFR
CT-4 cm (0.91 vs. 0.88,
p = 0.008) in identifying lesion-specific ischemia using invasive FFR as reference standard. Based on these results, FFR
CT measured at 1-to-2 cm distal to the stenosis is better than FFR
CT-lowest in identifying lesion-specific ischemia in patients with CAD.
In our study, invasive FFR was also used as the reference standard. Our results showed that there was a good correlation (
r = 0.80,
p < 0.001) and a very mild difference (mean difference 0.0001, 95% limits of agreement: -0.1222 to 0.1220) between invasive FFR and FFR
CT-2 cm. Further ROC analysis showed that the diagnostic performance of FFR
CT measured at 2 cm distal to the target lesion (FFR
CT-2 cm) was higher than that measured at 1 cm distal to the target lesion (FFR
CT-1 cm) and that measured at the vessel terminus (FFR
CT-lowest) (AUC: 0.857, 0.768, 0.770, respectively), and was comparable with FFR
CT-3 cm (AUC: 0.856). These findings suggest that FFR
CT measured at 2 cm distal to the target lesion had the highest performance in identifying lesion-specific ischemia. Overall, our results are consistent with the findings of previous study [
15,
16,
18,
24]. In our study, FFR
CT was measured at four different sites along the same artery and our results showed that FFR
CT measured at 2 cm distal to the target lesion are the optimal site for FFR
CT measurement, which is in line with previous studies [
15,
16,
18,
24]. It should be noted that the measurement site of the invasive FFR and the definition of the target lesion were not totally consistent between our study and previous studies [
15,
16,
18,
24]. Indeed, the invasive FFR was measured 2 to 3 cm distal to the target lesion in our study which was based on the recommendation as previously described [
19],which is as same as the study by Cami et al. [
16]. Nonetheless, Omori et al. [
15] used invasive FFR measured 2–4 cm distal to the target lesion as the reference standard, Nozaki et al. [
18] used invasive FFR measured distal to the stenosis as far as possible as the reference standard. Chen et al. [
24] used invasive FFR which was measured at a minimum of 2 cm distal to the stenosis in vessel segments ≥ 2 mm as the reference standard. As regards the target lesion, the definition of the target lesion of a serial lesion in the study by Nozaki et al. [
18] was similar to our study, i.e., the most distal lesion in the vessel with 30%-90% diameter stenosis selected as the target lesion. However, Omori et al. [
15] and Chen et al. [
24] selected the most severe stenosis in a serial lesion as the target lesion. These differences likely result in the mild discrepancy in the diagnostic performances of FFR
CT measured at 1 to 2 cm distal to the target lesion. It is known that there is a gradual decrease in FFR
CT from proximal to distal along the vessel even without focal stenosis [
16]. The lowest value of FFR
CT measured at 1 to 2 cm distal to the target lesion probably is not significantly different from FFR
CT measured 2 cm distal to the lower border of the target lesion. Thus, it is reasonable that 2 cm distal to the target lesion could be used as the exact measurement site for FFR
CT. Our results indicate that FFR
CT-2 cm is the optimal for identifying lesion-specific ischemia. This finding might impact the clinical decision-making and patient outcomes. For example, if a patient has a lesion with 30–90% vessel diameter stenosis while no lesion-specific ischemia as determined by FFR
CT-2 cm, this patient could avoid invasive FFR and unnecessary interventional revascularization.
Due to the presence of a gradual decrease in FFR
CT from proximal to distal along the vessel even without focal stenosis [
16], FFR
CT measures at different sites along the same coronary arterial might have different clinical indication. Our study showed that FFR
CT-1 cm has the highest specificity (93.6%) in diagnosing lesion-specific ischemia compared with FFR
CT-2 cm, FFR
CT-3 cm and FFR
CT-lowest, but had the lowest sensitivity (60%); FFR
CT-lowest has the highest sensitivity (88%) and NPV (91.2%) in identifying lesion-specific ischemia but had the lowest specificity (66%) and PPV (58%). 18% vessels positive for FFR
CT-lowest were reclassified as negative when determined by FFR
CT-2 cm. These results indicate that FFR
CT-1 cm could underestimate the severity of the lesion and the FFR
CT-lowest could overestimate the severity of the lesion. Similarly, Kueh et al. [
25] also found that FFR
CT-lowest overestimated the severity of the lesion when compared to FFR
CT measured within 20 mm of the stenotic lesion in identifying lesion-specific ischemia and false positive results of FFR
CT-lowest could be effectively reclassified by FFR
CT measured within 20 mm of the stenotic lesion. This might be associated with the gradual decrease in FFR
CT from proximal to distal along the vessel even without focal stenosis, which is more significant with FFR
CT than with invasive FFR due to pressure loss by frictional losses according to Poiseulle’s equation [
16]. Taken together, FFR
CT-1 cm and FFR
CT-lowest both are not optimal site for FFR
CT measurement and cannot be used as FFR
CT result in clinical decision-making.
CCTA can overestimate the severity of stenosis in CAD. It has been reported that less than a half of severe coronary artery disease diagnosed by CCTA can really result in lesion-specific ischemia [
26]. This raised the concern that the widespread use of CCTA may encourage unnecessary ICA [
27]. In our study, the AUC of CCTA (DS ≥ 50%) alone had only a moderate diagnostic performance (AUC = 0.576) for identifying lesion-specific ischemia, which was lower than that of FFR
CT-1 cm, FFR
CT-2 cm, FFR
CT-3 cm, and FFR
CT-lowest. When CCTA was combined with either FFR
CT-1 cm, FFR
CT-2 cm, FFR
CT-3 cm, or FFR
CT-lowest, its AUC was improved in identifying lesion-specific ischemia. These results suggest that the addition of FFR
CT can improve the diagnostic performance of CCTA in identifying lesion-specific ischemia and may reduce unnecessary ICA, thereby enhance its role as a gatekeeper for ICA.
Our study has some limitations. First, it is a retrospective study from a single center and the sample size was not large. It has selection bias inherent in a retrospective study. Second, patients with previous revascularization were excluded from the study. Thus, the validity of FFRCT parameters in these patients needs further investigation. Third, a per-vessel analysis was performed in our study. In some patients, more than one vessel was included for analysis. Fourth, FFRCT can be calculated using a machine learning-based algorithm or a CFD-based algorithm. In our study, only CFD-based algorithm was investigated. Fifth, the long-term effect of FFRCT on the adverse cardiac events was not investigated in this study. Further prospective clinical studies are warranted to validate the impact of FFRCT on the clinical outcome in patients with CAD.
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