DWI、T2 * mapping 及 SWI 多模态磁共振成像 在前列腺癌与前列腺增生鉴别诊断中的价值.

  • Published In: Shandong Medical Journal, 2026, v. 66, n. 2. P. 118 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: 辛玉静; 刘青; 李晶 3 of 3

Abstract

To investigate the value of multimodal magnetic resonance imaging (MRI) combining diffusion-weighted imaging (DWI), T2 * relaxation time quantitative imaging (T2 * mapping), and susceptibility-weighted imaging (SWI) in the differential diagnosis of prostate cancer (PCa) and benign prostatic hyperplasia (BPH) . Methods Thirty-five patients with PCa were retrospectively enrolled as the PCa group, and 45 patients with BPH were enrolled as the BPH group. All patients underwent conventional prostate MRI, DWI, T2 * mapping, and SWI. The apparent diffusion coefficient (ADC) value, T2 * value, and the number of calcifications and microhemorrhages were obtained. Differences in these parameters between the two groups were compared. A multivariate Logistic regression model was constructed to develop a combined diagnostic model. Receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic efficacy of each individual parameter and the combined models. Results The ADC and T2 * values in the PCa group were significantly lower than those in the BPH group, while the number of microhemorrhages was significantly larger in the PCa group (all P<0. 05) . No statistically significant difference was found in the number of calcifications between the two groups (P>0. 05) . Single-parameter diagnostic models based on ADC value, T2 * value, and the number of microhemorrhages yielded areas under the ROC curve (AUCs) of 0. 930, 0. 866, and 0. 661, respectively. The combined model incorporating ADC and T2 * values and the combined model incorporating ADC value, T2 * value, and the number of microhemorrhages, both constructed using multivariate Logistic regression analysis, achieved an AUC of 0. 961. The AUCs of both combined models were superior to those of the individual ADC value model and the individual T2 * value model (both P< 0. 05) . Conclusions Multimodal MRI combining DWI, T2 * mapping, and SWI can improve differentiation between PCa and BPH. The combined application of DWI and T2 * mapping demonstrates high diagnostic value. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Shandong Medical Journal. 2026/02, Vol. 66, Issue 2, p118
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2026
  • ISSN:1002-266X
  • DOI:10.3969/j.issn.1002-266X.2026.02.025
  • Accession Number:192162690
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