Olfactory radiomics signatures link pTau217 to cognitive impairment in probable Alzheimer’s disease: a multi-cohort machine learning study
Ben Chen·Yuping Ning·Huanmin Liu·Danyan Xu·Q Wang·Mingfeng Yang·Hu Tan·Zhidai Xiao·Shihan Tian·Z Wang·Youxuan Zheng·Xiaomin Zheng·Shuang Liang·Qin Liu·Jiafu Li·Xiaomei Zhong·Pengbo Gao
Alzheimer's disease (AD) diagnosis remains challenging because current molecular biomarkers, though sensitive, lack spatial specificity. Radiomics offers a promising alternative by quantifying subtle microstructural alterations from routine MRI that are invisible to traditional volumetric analyses. Given that olfactory-related regions are preferentially affected in AD with olfactory dysfunction preceding cognitive decline, this study aimed to develop and validate radiomics signatures from these
