Exploring the diagnostic effectiveness for myocardial ischaemia based on CCTA myocardial texture features.

Journal: BMC cardiovascular disorders

Published Date: Aug 31, 2021

Abstract

BACKGROUND: To explore the characteristics of myocardial textures on coronary computed tomography angiography (CCTA) images in patients with coronary atherosclerotic heart disease, a classification model was established, and the diagnostic effectiveness of CCTA for myocardial ischaemia patients was explored.

Authors

Hengyu Zhao

Xiamen Cardiovascular Hospital Xiamen University, Xiamen, 361006, Fujian, China. doctor_1972@163.com.
Lijie Yuan

Department of Molecular Biology, Xiamen Medical College, Xiamen, China.
Zhishang Chen

Xiamen Cardiovascular Hospital Xiamen University, Xiamen, 361006, Fujian, China.
Yuting Liao
Jiangzhou Lin

Xiamen Cardiovascular Hospital Xiamen University, Xiamen, 361006, Fujian, China.

Keywords

Aged Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Female Humans Machine Learning Male Middle Aged Multidetector Computed Tomography Myocardial Ischemia Predictive Value of Tests Proof of Concept Study Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies

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View on PubMed Access via DOI PubMed (34465308)

Exploring the diagnostic effectiveness for myocardial ischaemia based on CCTA myocardial texture features.

Abstract

Authors

Keywords

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