For clinical prostate examination, magnetic resonance imaging (MRI) is a significant imaging modality. In this study, the feasibility of diffusion-relaxation correlation spectrum imaging (DR-CSI) combined with a support vector machine (SVM) model for detecting PCa in vivo was initially explored, and its diagnostic performance was evaluated and compared with the Prostate Imaging-Reporting and Data System (PI-RADS) score based on multiparametric MRI (MP-MRI). The DR-CSI combined with SVM model may suggest additional clinical value and potential to improve the detection of PCa.
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