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KMID : 0191120230380320254
Journal of Korean Medical Science
2023 Volume.38 No. 32 p.254 ~ p.254
Performance of a Novel CT-Derived Fractional Flow Reserve Measurement to Detect Hemodynamically Significant Coronary Stenosis
Kang Si-Hyuck

Kim Soo-Hyun
Kim Sun-Hwa
Chun Eun-Ju
Chung Woo-Young
Yoon Chang-Hwan
Park Sang-Don
Nam Chang-Wook
Kwon Ki-Hwan
Doh Joon-Hyung
Byun Young-Sup
Bae Jang-Whan
Youn Tae-Jin
Chae In-Ho
Abstract
Background : Fractional flow reserve (FFR) based on computed tomography (CT) has been shown to better identify ischemia-causing coronary stenosis. However, this current technology requires high computational power, which inhibits its widespread implementation in clinical practice. This prospective, multicenter study aimed at validating the diagnostic performance of a novel simple CT based fractional flow reserve (CT-FFR) calculation method in patients with coronary artery disease.

Methods : Patients who underwent coronary CT angiography (CCTA) within 90 days and invasive coronary angiography (ICA) were prospectively enrolled. A hemodynamically significant lesion was defined as an FFR ¡Â 0.80, and the area under the receiver operating characteristic curve (AUC) was the primary measure. After the planned analysis for the initial algorithm A, we performed another set of exploratory analyses for an improved algorithm B.

Results : Of 184 patients who agreed to participate in the study, 151 were finally analyzed. Hemodynamically significant lesions were observed in 79 patients (52.3%). The AUC was 0.71 (95% confidence interval [CI], 0.63?0.80) for CCTA, 0.65 (95% CI, 0.56?0.74) for CT-FFR algorithm A (P = 0.866), and 0.78 (95% CI, 0.70?0.86) for algorithm B (P = 0.112). Diagnostic accuracy was 0.63 (0.55?0.71) for CCTA alone, 0.66 (0.58?0.74) for algorithm A, and 0.76 (0.68?0.82) for algorithm B.

Conclusion : This study suggests the feasibility of automated CT-FFR, which can be performed on-site within several hours. However, the diagnostic performance of the current algorithm does not meet the a priori criteria for superiority. Future research is required to improve the accuracy.
KEYWORD
Computed Tomography, Coronary CT Angiography, Fractional Flow Reserve, Coronary Artery Disease
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