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Diagnostic Performance of Intracoronary Optical Coherence Tomography-Modulated Quantitative Flow Ratio for Assessing Coronary Stenosis

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Abstract

Background: A novel method for fast computation of Murray law-based quantitative flow ratio (μQFR) from coregistered angiography and optical coherence tomography (OCT) was recently developed. This study aimed to evaluate the diagnostic performance of this OCT-modulated μQFR (OCT-μFR).

Methods: Patients who underwent coronary angiography, OCT, and fractional flow reserve (FFR) were retrospectively enrolled. μQFR was computed from a single angiographic projection. Subsequently, OCT image pullback was coregistered with the angiogram, and OCT-μFR was calculated based on the coregistered data. The same cut-off value of 0.80 was used for OCT-μFR, μQFR, and FFR to define ischemia.

Results: A paired comparison of OCT-μFR and μQFR was performed in 269 vessels from 218 patients. The mean FFR was 0.81 ± 0.11, and 45.0% of vessels had an FFR ≤0.80. OCT-μFR showed a better correlation with FFR than μQFR (r = 0.83 vs 0.76, = .018) and numerically higher diagnostic performance (area under the curve [AUC] = 0.95 vs 0.92, = .057). Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio for OCT-μFR to identify ischemia-causing stenosis were 89.3%, 93.2%, 91.5%, 91.4%, 13.2, and 0.1, respectively. In addition, OCT-μFR showed significantly higher diagnostic performance compared with μQFR in vessels with suboptimal angiographic image quality (AUC = 0.93 vs 0.87, = .028) and tandem lesions (AUC = 0.94 vs 0.87, = .017).

Conclusions: Computation of OCT-μFR was feasible and accurately identified physiologically significant coronary stenosis with simultaneous morphological assessment. In vessels with suboptimal angiographic image quality or tandem lesions, OCT-μFR had a higher diagnostic performance than angiography-based μQFR.

References
1.
Xu B, Tu S, Song L, Jin Z, Yu B, Fu G . Angiographic quantitative flow ratio-guided coronary intervention (FAVOR III China): a multicentre, randomised, sham-controlled trial. Lancet. 2021; 398(10317):2149-2159. DOI: 10.1016/S0140-6736(21)02248-0. View

2.
Meneveau N, Souteyrand G, Motreff P, Caussin C, Amabile N, Ohlmann P . Optical Coherence Tomography to Optimize Results of Percutaneous Coronary Intervention in Patients with Non-ST-Elevation Acute Coronary Syndrome: Results of the Multicenter, Randomized DOCTORS Study (Does Optical Coherence Tomography Optimize.... Circulation. 2016; 134(13):906-17. DOI: 10.1161/CIRCULATIONAHA.116.024393. View

3.
Gutierrez-Chico J, Chen Y, Yu W, Ding D, Huang J, Huang P . Diagnostic accuracy and reproducibility of optical flow ratio for functional evaluation of coronary stenosis in a prospective series. Cardiol J. 2020; 27(4):350-361. PMC: 8015995. DOI: 10.5603/CJ.a2020.0071. View

4.
Ding D, Yu W, Tauzin H, De Maria G, Wu P, Yang F . Optical flow ratio for assessing stenting result and physiological significance of residual disease. EuroIntervention. 2021; 17(12):e989-e998. PMC: 9725050. DOI: 10.4244/EIJ-D-21-00185. View

5.
Huang J, Emori H, Ding D, Kubo T, Yu W, Huang P . Diagnostic performance of intracoronary optical coherence tomography-based versus angiography-based fractional flow reserve for the evaluation of coronary lesions. EuroIntervention. 2020; 16(7):568-576. DOI: 10.4244/EIJ-D-19-01034. View