酰胺质子转移成像联合前列腺特异性抗原衍生指标 对灰区前列腺癌的诊断价值.

Objective To assess the value of amide proton transfer (APT) imaging combined with prostate-specific antigen (PSA) derived indicators in the diagnosis of gray zone prostate cancer. Methods Clinical and MR imaging data of 128 patients with prostate cancer (30) or benign prostatic hyperplasia (BPH, 98) undergoing prostate MRI in our hospital from June 2021 to March 2024 were retrospectively analyzed. Patient's age, PSA and its derivative indicators, APTmax, APTmean and APTmin were compared between the two groups. Single and multivariate logistic regression analyses were used to determine the independent predictors of prostate cancer in gray zone. A nomogram model was established. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficiency of the above parameters and the area under the ROC curve (AUC) was calculated. Results There were significant differences in the prostate volume and PSA density (PSAD) between the 2 groups. The values of APTmax [(3.63±1.01)%], APTmean [(2.60±0.86)%], and APTmin [(1.53±0.92)%] in the prostate cancer group were significantly higher (P<0.004) than those in BPH [(2.82±0.80)%, (1.95±0.09)%, (0.96±0.76)%]. Single and multivariate analyses showed that prostate volume, PSAD, APTmax, and APTmin were independent risk factors for gray zone prostate cancer with AUC values of 0.781, 0.762, 0.772, and 0.731, respectively. The diagnostic AUC value of the nomogram model for gray zone prostate cancer was 0.856, which was higher than each independent predictor. Conclusion The prediction model of APTmax and APTmin combined with prostate volume and PSAD has highest diagnostic value in gray zone prostate cancer. [ABSTRACT FROM AUTHOR]