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Original Article | Open Access

Morphometric Assessment for Functional Evaluation of Coronary Stenosis With Intravascular Ultrasound and Ultrasonic Flow Ratio in Vessels With a Single Stenosis

Yuming Huang1,2 Yiqi Xu3Guoyin Jiang4Anping Cai5Liansheng Chen1Quanmin Wu1Huiliang Deng1Nianjin Xie5( )Shuisheng Wei5( )
Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
School of Medicine, South China University of Technology, Guangzhou, China
Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou, China
Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China
Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China

Yuming Huang, Yiqi Xu and Guoyin Jiang contributed equally to this work and shared the co‐first authorship.

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Abstract

Background

The ultrasonic flow ratio (UFR) can identify the functional severity of coronary stenosis, but it is unclear whether it can improve the diagnostic accuracy of intravascular ultrasound (IVUS) in determining coronary stenosis hemodynamics in vessels with a single stenosis. This study investigated the diagnostic performance of IVUS‐derived parameters in identifying functionally significant coronary stenosis in a vessel with a single stenosis.

Methods

Seventy vessels with a single stenosis in 68 patients were analyzed. All vessels underwent IVUS and determination of the Murray law‐based quantitative flow ratio (μQFR). IVUS images were used to determine the UFR. The correlation between UFR and μQFR was assessed using Spearman's method, Bland–Altman plots, and receiver operating characteristic (ROC) analysis. Risk factors were determined using univariate logistic regression analysis and multivariate stepwise logistic regression analysis.

Results

UFR showed a good correlation with μQFR (r = 0.87, p < 0.001). With μQFR as the reference, the diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of UFR were 98.57%, 95.24%, 100.00%, 100.00%, and 98.00%, respectively. With UFR/μQFR concordance, lesion length, minimal lumen diameter, and diameter stenosis in quantitative coronary angiography (QCA), minimal lumen area, plaque burden, and plaque volume in IVUS showed good diagnostic efficiency in determining the functional significance of coronary stenosis in a vessel with single stenosis. Multiple logistic regression models, including lesion length and diameter stenosis in QCA, and minimal lumen area in IVUS, provided superior predictive efficacy for physiologically significant ischemia.

Conclusions

UFR has a good correlation with μQFR. Without fractional flow reserve and μQFR, IVUS‐derived parameters and QCA derived parameters have relevant diagnostic efficiency in identifying the hemodynamic significance of coronary stenosis in a vessel with single stenosis.

Graphical Abstract

This developed a morphometric assessment for functional evaluation of coronary stenosis with intravascular ultrasound and ultrasonic flow ratio in vessels with single stenosis; the results demonstrated ultrasonic flow ratio (UFR) has a good correlation with the Murray law‐based quantitative flow ratio (uQFR). Without fractional flow reserve (FFR) and uQFR, IVUS‐ and QCA‐derived parameters have excellent diagnosis efficiency in identifying the hemodynamic significance of coronary stenosis in a vessel with single stenosis.

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Medicine Advances
Pages 150-163

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Cite this article:
Huang Y, Xu Y, Jiang G, et al. Morphometric Assessment for Functional Evaluation of Coronary Stenosis With Intravascular Ultrasound and Ultrasonic Flow Ratio in Vessels With a Single Stenosis. Medicine Advances, 2026, 4(2): 150-163. https://doi.org/10.1002/med4.70067

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Received: 30 June 2025
Revised: 25 September 2025
Accepted: 04 November 2025
Published: 11 June 2026
© 2026 The Author(s). Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.