Objectives: The objective of the study is to investigate the diagnostic value of apparent diffusion coefficient (ADC) parameters in differentiating prostate cancer (PCa) pathology grading groups (GG) and their correlation with Ki-67 proliferation index. Material and Methods: This single-center retrospective study analyzed magnetic resonance imaging data from 119 pathologically confirmed PCa cases with documented Ki-67 proliferation indices. Both mean ADC (ADC mean ) and minimum ADC (ADC min ) values were obtained from dominant lesions using ADC mapping. Comparative analysis was performed between high-risk PCa (hPCa) and non-high-risk PCa (nhPCa) groups. Diagnostic performance was assessed through receiver operating characteristic (ROC) curve analysis, while Spearman correlation was employed to evaluate relationships between ADC parameters, GG, and Ki-67 index. Results: Significantly lower ADC mean and ADC min values were observed in hPCa compared to nhPCa ( P < 0.001). ROC analysis demonstrated the diagnostic utility of ADC parameters in distinguishing hPCa from nhPCa. Both ADC mean and ADC min showed significant negative correlations with GG and Ki-67 proliferation index ( P < 0.001). Conclusions: This study demonstrates an inverse correlation between ADC values and tumor proliferative activity in PCa, providing biological validation for DWI in assessing tumor aggressiveness. While this quantitative parameter shows potential for risk stratification, its application requires further multicenter validation.
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Yanqiu Wu
Linbo Shi
Dan Wang
Journal of Clinical Imaging Science
Hunan University of Science and Engineering
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Wu et al. (Sat,) studied this question.
www.synapsesocial.com/papers/69db38274fe01fead37c64b1 — DOI: https://doi.org/10.25259/jcis_125_2025