Application of Combined APT and NODDI Imaging Techniques for Diagnosing IDH Mutations in Diffuse Glioma

Motivation: Isocitrate dehydrogenase (IDH) mutation status is crucial for diffuse glioma prognosis and treatment, yet non-invasive prediction methods remain underdeveloped. Goal(s): To assess the diagnostic efficacy of APT and NODDI imaging, along with their combination, for predicting IDH mutation status in diffuse gliomas. Approach: Fifty diffuse glioma patients (25 IDH wild-type and 25 IDH-mutant) were recruited. APT and NODDI parameters in tumor parenchyma were compared between groups, and logistic regression was used to combine optimal parameters to build a predictive model. Results: The combined APT and ICVF approach achieved the highest diagnostic efficacy, with an AUC of 0.794. Impact: The combined APT and NODDI imaging approach offers an accurate, non-invasive method for predicting IDH mutations in diffuse gliomas, improving diagnosis and enabling personalized treatment.