Fig. 2

This workflow provides a comprehensive approach to utilizing QSM and habitat-based radiomics for identifying CKD-related CI. First, obtain QSM images of CKD patients. Next, manually segment the basal ganglia on the QSM images and generate multiple habitats. Then, extract radiomic features from these segments. Subsequently, perform feature selection to construct models and evaluate their diagnostic performance. The ultimate goal is to develop a model that can accurately identify CKD-related CI for clinical application. CI, cognitive impairment; CKD, chronic kidney disease; QSM, quantitative susceptibility mapping