一种用于量化3D pCASL MRI性别特异性脑灌注的新型血管风险评分框架
A Novel Vascular Risk Scoring Framework for Quantifying Sex-Specific Cerebral Perfusion from 3D pCASL MRI
AI总结：
本研究基于3D pCASL MRI和SLIC超体素扩展算法提取区域CBF特征，训练CNN实现95%性别分类准确率，并通过与年龄性别特异性正常数据比较构建个性化血管风险评分（VRS），用于量化早期低灌注，推动精准神经病学发展。
摘要：
性别和年龄对脑灌注的影响已被认识，但其对区域脑血流（CBF）和血管风险的具体影响仍有待充分表征。本研究使用3D伪连续动脉自旋标记（pCASL）MRI识别与性别和年龄相关的CBF模式，并基于正常灌注谱开发了血管风险评分（VRS）。研究分析了来自公开数据集的186名认知健康参与者（89名男性，97名女性；年龄8至92岁）的灌注数据。将3D简单线性迭代聚类（SLIC）超体素算法的扩展应用于CBF图，将具有相似强度的相邻体素分组为解剖学上有意义的区域。提取区域CBF特征，并用于训练卷积神经网络（CNN）进行性别分类和灌注模式分析。同时评估了全局的、与年龄相关的CBF变化。通过将个体CBF谱与年龄和性别特异性正常数据进行比较，计算参与者特异性VRS，以量化灌注不足。使用所提出的基于超体素的方法实现了95%的性别分类准确率，并识别出不同的灌注特征。在女性内侧Brodmann 6区和10区、V5区、枕极皮层和岛叶区域观察到更高的CBF。在两种性别中均观察到CBF随年龄的全局性下降。使用VRS量化个体灌注不足，为早期低灌注提供了个性化生物标志物。研究识别了性别和年龄特异性的CBF模式，并提出了个性化血管风险生物标志物，为精准神经病学的发展做出了贡献。
英文摘要：
The influence of sex and age on cerebral perfusion is recognized, but the specific impacts on regional cerebral blood flow (CBF) and vascular risk remain to be fully characterized. In this study, 3D pseudo-continuous arterial spin labeling (pCASL) MRI was used to identify sex and age related CBF patterns, and a vascular risk score (VRS) was developed based on normative perfusion profiles. Perfusion data from 186 cognitively healthy participants (89 males, 97 females; aged 8 to 92 years), obtained from a publicly available dataset, were analyzed. An extension of the 3D Simple Linear Iterative Clustering (SLIC) supervoxel algorithm was applied to CBF maps to group neighboring voxels with similar intensities into anatomically meaningful regions. Regional CBF features were extracted and used to train a convolutional neural network (CNN) for sex classification and perfusion pattern analysis. Global, age related CBF changes were also assessed. Participant specific VRS was computed by comparing individual CBF profiles to age and sex specific normative data to quantify perfusion deficits. A 95 percent accuracy in sex classification was achieved using the proposed supervoxel based method, and distinct perfusion signatures were identified. Higher CBF was observed in females in medial Brodmann areas 6 and 10, area V5, occipital polar cortex, and insular regions. A global decline in CBF with age was observed in both sexes. Individual perfusion deficits were quantified using VRS, providing a personalized biomarker for early hypoperfusion. Sex and age specific CBF patterns were identified, and a personalized vascular risk biomarker was proposed, contributing to advancements in precision neurology.
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