机构：[1]Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.医技科室放射科首都医科大学宣武医院[2]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China.[3]Beijing United Imaging Research Institute of Intelligent Imaging, Beijing 100094, China.[4]Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.神经科系统神经外科首都医科大学宣武医院[5]China International Neuroscience Institute (China-INI), Beijing 100053, China.[6]Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.医技科室放射科首都医科大学宣武医院[7]Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Vienna General Hospital, Medical University of Vienna, 1090 Vienna, Austria.[8]Department of Nuclear Medicine, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.
The aim of this study was to exploit integrated PET/MRI to simultaneously evaluate the morphological, component, and metabolic features of advanced atherosclerotic plaques and explore their incremental value.In this observational prospective cohort study, patients with advanced plaque in the carotid artery underwent 18F-FDG PET/MRI. Plaque morphological features were measured, and plaque component features were determined via MRI according to AHA lesion-types. Maximum standardized uptake values (SUVmax) and tissue to background ratio (TBR) on PET were calculated. Area under the receiver-operating characteristic curve (AUC) and net reclassification improvement (NRI) were used to compare the incremental contribution of FDG uptake when added to AHA lesion-types for symptomatic plaque classification.A total of 280 patients with advanced plaque in the carotid artery were recruited. A total of 402 plaques were confirmed, and 87 of 402 (21.6%) were symptomatic plaques. 18F-FDG PET/MRI was performed a mean of 38 days (range 1-90) after the symptom. Increased stenosis degree (61.5% vs. 50.0%, p < 0.001) and TBR (2.96 vs. 2.32, p < 0.001) were observed in symptomatic plaques compared with asymptomatic plaques. The performance of the combined model (AHA lesion type VI + stenosis degree + TBR) for predicting symptomatic plaques was the best among all models (AUC = 0.789). The improvement of the combined model (AHA lesion type VII + stenosis degree + TBR) over AHA lesion type VII model for predicting symptomatic plaques was the highest (AUC = 0.757/0.454, combined model/AHA lesion type VII model), and the NRI was 50.7%.Integrated PET/MRI could simultaneously evaluate the morphological component and inflammation features of advanced atherosclerotic plaques and provide supplementary optimization information over AHA lesion-types for identifying vulnerable plaques in atherosclerosis subjects to achieve further stratification of stroke risk.
基金：
This work was supported by the Project supported by the National Natural Science
Foundation of China (Grant No. 82130058, Grant No. 81974261) and the Project supported by Beijing
Natural Science Foundation (Z190014).
第一作者机构：[1]Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.[2]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China.
共同第一作者：
通讯作者：
通讯机构：[1]Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.[2]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China.[7]Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Vienna General Hospital, Medical University of Vienna, 1090 Vienna, Austria.[8]Department of Nuclear Medicine, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.
推荐引用方式(GB/T 7714)：
Yu Fan,Zhang Yue,Sun Heyu,et al.In Vivo Classification and Characterization of Carotid Atherosclerotic Lesions with Integrated 18F-FDG PET/MRI[J].DIAGNOSTICS.2024,14(10):doi:10.3390/diagnostics14101006.
APA：
Yu Fan,Zhang Yue,Sun Heyu,Li Xiaoran,Shan Yi...&Lu Jie.(2024).In Vivo Classification and Characterization of Carotid Atherosclerotic Lesions with Integrated 18F-FDG PET/MRI.DIAGNOSTICS,14,(10)
MLA：
Yu Fan,et al."In Vivo Classification and Characterization of Carotid Atherosclerotic Lesions with Integrated 18F-FDG PET/MRI".DIAGNOSTICS 14..10(2024)
