Journal of Atherosclerosis and Thrombosis
Online ISSN : 1880-3873
Print ISSN : 1340-3478
ISSN-L : 1340-3478
Original Article
Association of Multimodal Intracoronary Imaging-Derived Plaque Morphology with the Pathophysiological Disease Patterns Assessed by the Quantitative Flow Ratio-Pullback Pressure Gradient
Eisuke Usui, Yoshihisa Kanaji, Masahiro Hada, Tatsuhiro Nagamine, Hiroki Ueno, Kodai Sayama, Takumi Watanabe, Takahiro Watanabe, Hikaru Shimosato, Takashi Mineo, Riko Murakami, Kaisei Hosokawa, Taishi Yonetsu, Tetsuo Sasano, Tsunekazu Kakuta
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2026 Volume 33 Issue 11 Pages 1382-1398

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Abstract

Aims: The quantitative flow ratio (QFR)-derived pullback pressure gradient (PPG) characterizes the pathophysiological patterns of coronary atherosclerosis. This study investigated the plaque morphologies associated with these disease patterns.

Methods: This study used the institutional QFR-PPG database registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000056097). Patients who underwent elective stenting with pre-procedural optical coherence tomography and near-infrared spectroscopy intravascular ultrasound were included. Offline QFR and QFR-PPG analyses were performed, and the lesions were stratified into tertiles.

Results: A total of 168 de novo lesions were analyzed in this study. The QFR tertiles were defined as severe (<0.61), moderate (0.61–0.71), and mild (>0.71); the QFR-PPG tertiles were defined as diffuse (<0.66), intermediate (0.66–0.79), and focal (>0.79). The Severe QFR tertiles exhibited a smaller minimum lumen area (MLA) and higher frequencies of thin-cap fibroatheroma (TCFA) and layered plaque. In contrast, across the QFR-PPG tertiles, MLA and TCFA frequencies were similar, whereas the diffuse group exhibited more layered plaques and larger calcium angles. The maximum lipid-core burden index did not vary across the QFR-PPG tertiles. A multivariable analysis identified MLA and TCFA as independent predictors of QFR, while layered plaque and calcium angle independently predicted QFR-PPG. However, the lipidic features were not independent predictors of QFR.

Conclusion: Multimodal intracoronary imaging demonstrated that QFR reflects luminal narrowing and the features of vulnerable plaques. Conversely, QFR-PPG reflects disease diffuseness, characterized by layered plaques and calcium burden rather than lipid-rich features.

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