The aim of this study was to elucidate a multiple diffusion-model-based radiomics model in detecting the changes of hippocampus in Type 2 Diabetes Mellitus Patients with Mild Cognitive Impairment. We used diffusion features derived from DTI, DKI, NODDI and MAP-MRI models and chose LR as the classifier to construct a prediction model. The results showed that the most accurate prediction was achieved by incorporating the NODDI_ICVF and MAP_NG into a nomogram, with AUC and accuracy reached 0.80 and 0.78.
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