Evidence map›Paper›PMID 41209661›Full record

ArticleTherapeutics and clinical risk management2025

Predictive Value of CT Fractional Flow Reserve and Fat Attenuation Index Derived from Coronary CT Angiography for In-Stent Restenosis After Percutaneous Coronary Intervention.

Beibei Li, Zhiguo Zhang, Xianglei Wei, Tianzeng Song, Yi Zhao, Wei Wang

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Article in Therapeutics and clinical risk management, 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Beibei LiGraduate School of Dalian Medical University, Dalian, Liaoning, 116000, People's Republic of China.
Zhiguo ZhangDepartment of Radiology, Linyi Central Hospital, Yishui County, Linyi, Shandong, 276400, People's Republic of China.
Xianglei WeiDepartment of Radiology, Linyi Central Hospital, Yishui County, Linyi, Shandong, 276400, People's Republic of China.
Tianzeng SongDepartment of Orthopeadic Surgery, Linyi Central Hospital, Yishui County, Linyi, Shandong, 276400, People's Republic of China.
Yi ZhaoDepartment of Radiology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, 225000, People's Republic of China.
Wei WangDepartment of Radiology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, 225000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To investigate the predictive value of CT fractional flow reserve (CT-FFR) and fat attenuation index (FAI) based on Coronary CT Angiography (CCTA) for in-stent restenosis (ISR) in patients with CAD after PCI. Methods: Patients with coronary heart disease who were followed up after coronary stent implantation were retrospectively collected, and clinical data, stent features and imaging characteristics were recorded. The Spearman test was used to analyze the correlation between CT-FFR, FAI and ISR. Univariate and multivariate logistic regression were used to determine the independent influencing factors of ISR, and a nomogram model was constructed. Results: A total of 378 patients were ultimately included. Among them, there were 120 cases in the ISR group and 258 cases in the non-ISR group. Multivariate analysis revealed that CT-FFR Conclusion: ΔCT-FFR and peri-stent FAI, as independent predictors of ISR after PCI in patients with coronary heart disease, have a high predictive value for ISR. In addition, the FAI around the stent has incremental value for CT-FFR. It is worth noting that, compared with clinical data, imaging features show higher predictive value.

Indexed as

coronary CT angiographycoronary heart diseaseCT fractional flow reservein-stent restenosisperivascular fat attenuation index

Identifiers

PMID41209661
PMCPMC12593825

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