Exploration of Clinical Application of 3.0T mDixon Whole Heart Coronary Artery Magnetic Resonance Imaging
10.3969/j.issn.1005-5185.2025.08.008
- VernacularTitle:3.0T非增强mDixon水脂分离全心冠状动脉磁共振成像的临床应用
- Author:
Gang ZHANG
1
;
Junjing HE
;
Jiemei SUN
;
Lige ZHOU
;
Wei XING
Author Information
1. 河南中医药大学第一临床医学院,河南 郑州 450000;河南中医药大学第一附属医院磁共振科,河南 郑州 450000
- Publication Type:Journal Article
- Keywords:
Magnetic resonance imaging;
Coronary disease;
Coronary stenosis;
Coronary angiography;
Diagnosis;
Image quality
- From:
Chinese Journal of Medical Imaging
2025;33(8):840-847
- CountryChina
- Language:Chinese
-
Abstract:
Purpose Exploring the clinical indications of coronary artery magnetic resonance imaging(CMRA)from the perspectives of diagnostic efficacy and image quality,providing reference for the clinical application of this technology.Materials and Methods From May 2021 to March 2024,a prospective study was conducted on 110 patients who planned to undergo coronary angiography(CAG)at the First Affiliated Hospital of Henan University of Traditional Chinese Medicine.3.0T whole heart CMRA examination was performed within one week before CAG surgery,and relevant data was collected and recorded.The diagnostic efficacy of CMRA was evaluated comprehensively,the correlation between CMRA image quality and diagnostic efficacy were analyzed,and the relationship between patient factors and CMRA image quality was verified.Results Based on multi-level evaluation,CMRA had a higher diagnostic accuracy for significant coronary artery stenosis(area under the curve>0.811).The diagnostic results of CMRA were affected by image quality.When the image quality was medium or poor,the diagnostic results of CMRA and CAG were prone to inconsistency,while when the image quality was excellent or good,the diagnostic results were mostly consistent.Conclusion CMRA has similar diagnostic efficacy to CAG and high clinical application potential.The quality of CMRA images can easily affect diagnostic efficiency,and image quality should be evaluated before clinical diagnosis.