Evidence map›Paper›PMID 38884449›Full record

ArticleClinical cardiology2024

The Plaque Analysis Classifies the Coronary Artery Disease-Reporting and Data System (CAD-RADS) Stenosis and Plaque Burden Categories: Association of the Plaque Features, Fat Attenuation Index, Coronary Computed Tomography Fractional Flow Reserve, and the Combination of Stenosis and Calcification.

Wenxi Chen, Jiyan Nie, Mingyu Zhang, Zhi Zhu, Yuanyong Zhou, Qingde Wu, Xuxia He

Abstract read
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Article in Clinical cardiology, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wenxi ChenGraduate School, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0009-0006-3299-6158
Jiyan NieGraduate School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Mingyu ZhangGraduate School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhi ZhuGraduate School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yuanyong ZhouDepartment of Radiology, Shunde Hospital of Guangzhou University of Chinese Medicine, Shunde, China.
Qingde WuDepartment of Radiology, Shunde Hospital of Guangzhou University of Chinese Medicine, Shunde, China.ORCID https://orcid.org/0009-0002-8159-2732
Xuxia HeDepartment of Radiology, Shunde Hospital of Guangzhou University of Chinese Medicine, Shunde, China.

Funding

Foshan Municipal Health and Wellness Bureau 20210396Specialized Projects Within the Institution by Shunde Hospital of Guangzhou University of Chinese Medicine YNZX20220017
6 · The paper itself

Abstract

backgroundThe coronary artery disease-reporting and data system (CAD-RADS) 2.0 is used to standardize the reporting of coronary computed tomography angiography (CCTA) results. Artificial intelligence software can quantify the plaque composition, fat attenuation index, and fractional flow reserve.

objectiveTo analyze plaque features of varying severity in patients with a combination of CAD-RADS stenosis and plaque burden categorization and establish a random forest classification model.

methodsThe data of 100 patients treated between April 2021 and February 2022 were retrospectively collected. The most severe plaque observed in each patient was the target lesion. Patients were categorized into three groups according to CAD-RADS: CAD-RADS 1-2 + P0-2, CAD-RADS 3-4B + P0-2, and CAD-RADS 3-4B + P3-4. Differences and correlations between variables were assessed between groups. AUC, accuracy, precision, recall, and F1 score were used to evaluate the diagnostic performance.

resultsA total of 100 patients and 178 arteries were included. The differences of computed tomography fractional flow reserve (CT-FFR) (H = 23.921, p < 0.001), the volume of lipid component (H = 12.996, p = 0.002), the volume of fibro-lipid component (H = 8.692, p = 0.013), the proportion of lipid component volume (H = 22.038, p < 0.001), the proportion of fibro-lipid component volume (H = 11.731, p = 0.003), the proportion of calcification component volume (H = 11.049, p = 0.004), and plaque type (χ

conclusionCT-FFR, volume and proportion of lipid and fibro-lipid components of plaques, the proportion of calcified components, and plaque type were valuable for CAD-RADS stenosis + plaque burden classification, especially CT-FFR, volume, and proportion of lipid and fibro-lipid components. The model built using the random forest was better than the clinical model (AUC: 0.874 vs. 0.647).

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsFractional Flow Reserve, MyocardialPlaque, AtheroscleroticSeverity of Illness IndexAgedFemaleHumansMaleMiddle AgedRetrospective StudiesVascular Calcificationcoronary atherosclerosisfractional flow reserveplaqueplaque burden

Identifiers

PMID38884449
PMCPMC11181293

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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 Socratic graph.