Evidence map›Paper›PMID 32240353›Full record

ArticleEuropean radiology2020

Pressure-flow curve derived from coronary CT angiography for detection of significant hemodynamic stenosis.

Xinzhou Xie, Didi Wen, Ruichen Zhang, Qian Tao, Ce Wang, Songyun Xie, Hui Liu, Minwen Zheng

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Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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8 authors.

Xinzhou XieDepartment of Information Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, People's Republic of China.
Didi WenDepartment of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, People's Republic of China.
Ruichen ZhangDepartment of Information Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, People's Republic of China.
Qian TaoDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Ce WangDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People's Republic of China.
Songyun XieDepartment of Information Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, People's Republic of China.
Hui LiuDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People's Republic of China. liuhuijiujiu@gmail.com.
Minwen ZhengDepartment of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, People's Republic of China. zhengmw2007@163.com.

Funding

Discipline promotion project of Xijing hospital XJZT18MJ52Fundamental Research Funds for the Central Universities 3102018ZY021National Natural Science Foundation of China Nos. 61601368
6 · The paper itself

Abstract

objectivesCoronary CT angiography (cCTA) has been used to non-invasively assess both the anatomical and hemodynamic significance of coronary stenosis. The current study investigated a new CFD-based method of evaluating pressure-flow curves across a stenosis to further enhance the diagnostic value of cCTA imaging.

methodsFifty-eight patients who underwent both cCTA imaging and invasive coronary angiography (ICA) with fractional flow reserve (FFR) within 2 weeks were enrolled. The pressure-flow curve-derived parameters, viscous friction (VF) and expansion loss (EL), were compared with conventional cCTA parameters including percent area stenosis (AS) and minimum lumen area (MLA) by receiver operating characteristic (ROC) curve analysis. FFR ≤ 0.80 was used to indicate ischemia-causing stenosis. Correlations between FFR and other measurements were calculated by Spearman's rank correlation coefficient (rho).

resultsSixty-eight stenoses from 58 patients were analyzed. VF, EL, and AS were significantly larger in the group of FFR ≤ 0.8 while smaller MLA values were observed. The ROC-AUC of VF (0.91, 95% CI 0.81-0.96) was better than that of AS (change in AUC (ΔAUC) 0.27, p < 0.05) and MLA (ΔAUC 0.17, p < 0.05), and ROC-AUC of EL (0.90, 95%CI 0.80-0.96) was also better than that of AS (ΔAUC 0.26, p < 0.05) and MLA (ΔAUC 0.16, p < 0.05). FFR values correlated well with VF (rho = - 0.74 (95% CI - 0.83 to - 0.61, p < 0.0001) and EL (rho = - 0.74 (95% CI - 0.83 to - 0.61, p < 0.0001).

conclusionPressure-flow curve-derived parameters enhance the diagnostic value of cCTA examination. KEY POINTS: • Pressure-flow curve derived from cCTA can assess coronary lesion severity. • VF and EL are superior to cCTA alone for indicating ischemic lesions. • Pressure-flow curve derived from cCTA may assist in clinical decision-making.

Indexed as

Fractional Flow Reserve, MyocardialHemodynamicsPressureAgedCardiac CatheterizationComputed Tomography AngiographyConstriction, PathologicCoronary AngiographyCoronary StenosisFemaleHumansMaleMiddle AgedROC CurveCoronary artery diseaseCT angiographyHemodynamics

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.