基于SWI影像组学的脑卒中复发预测研究进展
Advanced on a Radiomics-Based Model for SWI Feature Extraction and Recurrence Risk Prediction in Stroke
摘要: 脑卒中是一种对人类生命健康危害极大的疾病，且由于其高复发特性使患者不良结局加重、生存质量下降，是全球致死致残的关键因素。当前临床实践广泛应用的CHADS2、ABCD2量表等复发风险预测体系大多依靠常规危险指标，而未能很好把握个体独特病理特征，预报效果存在很大局限性。而医学影像海量量化特征的提取给疾病结局预测开创新路，磁敏感加权成像(SWI)探测能力强，可精准识别脑内微小出血灶、静脉血氧水平波动、铁质异常沉积等病理特征，在微血管病变显影方面的能力是常规影像学技术难以相比的。影像组学技术的发展为脑卒中复发风险的个体化精准预测提供了新的可能。
Abstract: Stroke is a critical disease that poses a significant threat to human life and health, and its high recurrence rate exacerbates poor outcomes and reduces quality of life for patients, making it a key factor in global mortality and disability. Current clinical practices widely use recurrence risk prediction systems such as the CHADS2 and ABCD2 scales, which primarily rely on conventional risk indicators and fail to adequately capture individual unique pathological features, resulting in significant limitations in predictive accuracy. The extraction of massive quantitative features from medical imaging has opened new avenues for predicting disease outcomes. Susceptibility-weighted imaging (SWI) exhibits strong detection capabilities, enabling precise identification of pathological features such as microbleeding foci in the brain, fluctuations in venous oxygen levels, and abnormal iron deposition. Its ability to visualize microvascular lesions surpasses that of conventional imaging techniques. The development of radiomics technology provides new possibilities for the personalized and precise prediction of stroke recurrence risk.
文章引用：田程, 李子妍, 李昱辉, 汪思睿, 马瑞健, 刘堇. 基于SWI影像组学的脑卒中复发预测研究进展[J]. 临床医学进展, 2026, 16(3): 2574-2580. https://doi.org/10.12677/acm.2026.1631057

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