哈尔滨医药2026，Vol.46Issue(1)：4-7,4.DOI:10.3969/j.issn.1001-8131.2026.01.002
多b值DWI与T2 mapping定量技术诊断前列腺癌与前列腺增生结节价值研究
Study on the Value of Multi-b-value DWI and T2 Mapping Quantitative Techniques in the Diagnosis of Prostate Cancer and Benign Prostatic Hyperplasia Nodules
摘要
Abstract
Objective To investigate the diagnostic value of multi-b-value diffusion-weighted imaging(DWI)and T2 mapping quantitative parameters in differentiating prostate cancer(PCa)from benign prostatic hyperplasia(BPH).Materials and Methods A retrospective analysis was conducted on imaging data from 67 pathologically confirmed PCa patients and 66 BPH patients who underwent MR examination in our hospital.ADC values from DWI at b=1000 and 2000 s/mm2 and T2 mapping values were measured in both groups.Differences in ADC values at different b-values and T2 values between the two groups were compared.Results Operating characteristic(ROC)curve analysis was used to evaluate the diagnostic performance of each parameter and the combined ADC2000-T2 model.Results The ADC1000,ADC2000,and T2 values in the PCa group were significantly lower than those in the BPH group,with statistically significant differences(P<0.01).The AUC values for differentiating PCa from BPH were 0.80 for ADC1000,0.83 for ADC2000,0.89 for T2 value,and 0.92 for the combined ADC2000-T2 model.The diagnostic performance of the combined ADC2000-T2 mapping model was superior to that of ADC1000 or ADC2000 alone,and the difference was statistically significant.Conclusion Quantitative parameters from DWI and T2 mapping sequences demonstrate good diagnostic value in differentiating PCa from BPH.Moreover,the combined model incorporating high b-value DWI and T2 mapping further improves diagnostic performance,providing a reliable basis for the clinical diagnosis of PCa.关键词
前列腺癌/前列腺增生/扩散加权序列/T2 mapping序列Key words
Prostate Cancer/Prostatic Hyperplasia/Diffusion-weighted Imaging/T2 Mapping Imaging分类
医药卫生引用本文复制引用
王旭,陈婷,王姗,谢晓平..多b值DWI与T2 mapping定量技术诊断前列腺癌与前列腺增生结节价值研究[J].哈尔滨医药,2026,46(1):4-7,4.基金项目
江阴市卫生健康委员会科研项目(S202103) （S202103）
