Sun Yi, Tian Di, Lu Hongfei, Zhao Shihai, Chen Yinyin, Ge Meiying, Zeng Mengsu, Jin Hang
Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China.
Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China; Department of Radiology, Zhongshan Hospital (Minhang Meilong Branch), Fudan University and Shanghai Geriatric Medical Center, Shanghai 200237, China.
Magn Reson Imaging. 2024 Apr;107:8-14. doi: 10.1016/j.mri.2023.12.005. Epub 2023 Dec 29.
To evaluate the diagnostic performance of 3.0 T unenhanced compressed-sensing sensitivity encoding (CS-SENSE) Dixon water-fat separation coronary MR angiography (CMRA) in patients with low-to-intermediate risk of coronary artery disease (CAD) and its ability to grade the severity of CAD based on Coronary Artery Disease Reporting and Data System (CAD-RADS).
A total of 55 patients who was clinically evaluated as low-to-intermediate risk of CAD were finally included to undergo both 3.0 T CS-SENSE water-fat separation CMRA and coronary computed tomography angiography (CCTA), and 11 of them also underwent X-ray coronary angiography (CAG). The severity of coronary artery disease was graded in patients who had completed both CCTA and CMRA examinations by the use of CAD-RADS reports for the patients with stable chest pain, and the diagnostic consistency between the two approaches was evaluated. Diagnostic performance of CMRA was assessed using the combination of CCTA and CAG as the reference standard for excluding or confirming CAD respectively.
The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy of 3.0 T unenhanced water-fat separation coronary MRA were 90.0%, 95.0%, 81.8%, 97.4% and 94.0% for a patient-based analysis respectively. In comparison with CCTA, 3.0 T Dixon water-fat separation CMRA demonstrated excellent consistency in grading the severity of coronary heart disease according to CAD-RADS (0.77 for kappa value).
In the group of low-to-intermediate probability for CAD, 3.0 T unenhanced CS-SENSE Dixon water-fat separation CMRA can present satisfactory diagnostic performance for the exclusion of CAD with high sensitivity and negative predictive value as well as the evaluation of grading the severity of coronary artery disease.
评估3.0 T非增强压缩感知灵敏度编码(CS-SENSE)狄克逊水脂分离冠状动脉磁共振血管造影(CMRA)在冠状动脉疾病(CAD)低至中度风险患者中的诊断性能,以及其基于冠状动脉疾病报告和数据系统(CAD-RADS)对CAD严重程度进行分级的能力。
最终纳入55例临床评估为CAD低至中度风险的患者,使其接受3.0 T CS-SENSE水脂分离CMRA和冠状动脉计算机断层扫描血管造影(CCTA)检查,其中11例患者还接受了X线冠状动脉造影(CAG)。对完成CCTA和CMRA检查的患者,采用针对稳定型胸痛患者的CAD-RADS报告对冠状动脉疾病的严重程度进行分级,并评估两种方法之间的诊断一致性。以CCTA和CAG的联合结果分别作为排除或确诊CAD的参考标准,评估CMRA的诊断性能。
基于患者分析,3.0 T非增强水脂分离冠状动脉磁共振血管造影的灵敏度、特异度、阳性预测值(PPV)、阴性预测值(NPV)和诊断准确率分别为90.0%、95.0%、81.8%、97.4%和94.0%。与CCTA相比,3.0 T狄克逊水脂分离CMRA在根据CAD-RADS对冠心病严重程度进行分级方面表现出极好的一致性(kappa值为0.77)。
在CAD低至中度可能性的人群中,3.0 T非增强CS-SENSE狄克逊水脂分离CMRA在排除CAD方面可呈现令人满意的诊断性能,具有高灵敏度和阴性预测值,同时也能对冠状动脉疾病的严重程度分级进行评估。