基于影像组学预测大脑年龄与缺血性卒中的研究进展 Research Progress on Radiomics-Based Brain Age Prediction and Ischemic Stroke

大脑年龄作为一种个体化的脑健康影像学表型，是衡量大脑衰老程度的新型神经影像学生物标志物。个体大脑年龄与实际年龄之间的偏差，即脑年龄估值差，反映了大脑衰老的轨迹和速率。既往研究表明，缺血性卒中患者的脑年龄估值差升高与其预后不良存在显著关联。此外，缺血性脑损伤加速了卒中患者的大脑衰老过程，提示大脑衰老与缺血性卒中之间可能形成恶性循环。本文就大脑年龄预测的方法学框架、影响大脑衰老速率的因素、大脑年龄与缺血性卒中的关联及多组学数据联合分析的研究进展进行综述，旨在为卒中相关的衰老生物学研究提供新的视角。 Abstract: As an individualized brain health imaging phenotype, brain age is a new neuroimaging biomarker to assess the degree of brain aging. The discrepancy between an individual’s brain age and chronological age, known as the predicted age difference, reflects the trajectory and rate of brain aging. Previous studies have found that a greater predicted age difference in patients with ischemic stroke was associated with poor prognosis. Furthermore, ischemic brain injury may accelerate the brain aging process in stroke patients, suggesting the potential for a vicious cycle between brain aging and ischemic stroke. This article reviewed the progress in research on brain age prediction methodologies, factors influencing the rate of brain aging, the relationship between brain age and ischemic stroke, and the integration of multi-omics data analysis, providing a fresh perspective for biogerontological research related with stroke.