A Radiomic Model Based on 7T Intracranial Vessel Wall Imaging for Identification of Culprit Middle Cerebral Artery Plaque Associated with Subcortical Infarctions.

IF 6.1 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Tong Chen, Wenhui Zhu, Xiaoyan Bai, Mahmud Mossa-Basha, Yuanbin Zhao, Xun Pei, Xue Zhang, Gaifen Liu, Xingquan Zhao, Zixiao Li, Jie Xu, Shengjun Sun, Duanduan Chen, Shuaitong Zhang, Binbin Sui
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引用次数: 0

Abstract

Background: Radiomics has been proven to be an important method for the quantitative assessment atherosclerotic plaques. Therefore, we aimed to evaluate a radiomics approach based on 7.0T high-resolution vessel wall imaging (HR-VWI) to identify culprit middle cerebral artery (MCA) plaques associated with subcortical infarctions.

Methods: One hundred patients with MCA plaques were prospectively enrolled. Among these patients, 145 plaques (74 culprit plaques and 71 non-culprit plaques) were included. A traditional model was constructed by recording the conventional radiological plaque characteristics of HR-VWI. Radiomics features from HR-VWI images were utilized to construct a radiomics model. A combined model was built using both conventional radiological and radiomics features. Receiver operating characteristic (ROC) curves and area under curve (AUC) were used to compare the performance of these models.

Results: Plaque surface irregularity and superior wall location of MCA plaques were independently associated with subcortical infarctions. The traditional model had AUCs of 0.744 and 0.700 in the training and test sets, respectively. The radiomics and the combined model showed improved AUCs: 0.860 and 0.896 in the training sets and 0.795 and 0.833 in the test sets, respectively. The radiomics model was superior to the traditional model (p=0.042) in the training set. The combined model outperformed the traditional model (training p<0.001, test p=0.048).

Conclusions: The radiomics approach based on 7.0T HR-VWI can accurately identify culprit plaques associated with subcortical infarctions, potentially better than conventional HR-VWI features.

基于7T颅内血管壁成像的放射学模型用于识别与皮质下梗死相关的大脑中动脉斑块。
背景:放射组学已被证明是定量评估动脉粥样硬化斑块的重要方法。因此,我们旨在评估基于7.0T高分辨率血管壁成像(HR-VWI)的放射组学方法,以识别与皮层下梗死相关的大脑中动脉(MCA)斑块。方法:前瞻性纳入100例MCA斑块患者。在这些患者中,包括145个斑块(74个罪魁祸首斑块和71个非罪魁祸首斑块)。通过记录HR-VWI常规影像学斑块特征构建传统模型。利用HR-VWI图像的放射组学特征构建放射组学模型。利用常规放射学和放射组学特征建立了一个组合模型。使用受试者工作特征(ROC)曲线和曲线下面积(AUC)来比较这些模型的性能。结果:斑块表面不规则和上壁位置与皮层下梗死独立相关。传统模型在训练集和测试集的auc分别为0.744和0.700。放射组学和联合模型的auc有所改善:训练集的auc分别为0.860和0.896,测试集的auc分别为0.795和0.833。放射组学模型在训练集上优于传统模型(p=0.042)。结论:基于7.0T HR-VWI的放射组学方法可以准确识别与皮层下梗死相关的罪魁祸首斑块,可能优于传统的HR-VWI特征。
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来源期刊
CiteScore
10.90
自引率
12.50%
发文量
61
审稿时长
6-12 weeks
期刊介绍: Journal of Cardiovascular Magnetic Resonance (JCMR) publishes high-quality articles on all aspects of basic, translational and clinical research on the design, development, manufacture, and evaluation of cardiovascular magnetic resonance (CMR) methods applied to the cardiovascular system. Topical areas include, but are not limited to: New applications of magnetic resonance to improve the diagnostic strategies, risk stratification, characterization and management of diseases affecting the cardiovascular system. New methods to enhance or accelerate image acquisition and data analysis. Results of multicenter, or larger single-center studies that provide insight into the utility of CMR. Basic biological perceptions derived by CMR methods.
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