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INTRODUCTION: Prostate cancer (PCa) located in the peripheral zone (PZ) and transitional zone (TZ) showed a different clinical and pathological characteristic. This passage aims to preliminarily evaluate the relationship between the zonal heterogeneity of PCa quantitatively assessed by bpMRI and pathological risk stratification of the primary lesion. METHODS: This prospective study was conducted from January 2019 to February 2023. A total of 113 PCa patients whose bpMRI data indicated that the lesions located in only 1 single zone of the prostate were selected. A transrectal ultrasound and MRI-targeted biopsy were performed to verify the bpMRI results, and then radical prostatectomy (RP) was performed in 3 weeks after the biopsy. The high-risk (HR) group was defined as ISUP grades ≥ 3. Binary regression was performed to evaluate if the zonal heterogeneity could be an independent predictor of the HR group. The receiver operator characteristic (ROC) curve was performed to analyze the added value of zonal location in predicting the HR group. RESULTS: PSA, T staging, and ISUP grades, incidence of positive surgical margins were significantly lower in the TZ PCa, and the ADCmin, and ADCmean values in the TZ PCa were significantly higher (all P < .01). The zonal heterogeneity could independently predict the HR group patients (OR: 5.170 [1.663-16.067], P = .005) and improve the predicting efficiency of HR patients (AUC 0.824, 95% CI, 0.741-0.889). CONCLUSIONS: BpMRI could quantitively assess the zonal heterogeneity of PCa precisely and increase the predicting efficacy of HR patients, which can provide better help for clinical individualized treatment.
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OBJECTIVE: To explore the relationship between unambiguous radiologic extranodal extension (rENE) and M1 staging in patients with metastatic PCa. METHODS: A respective analysis of 1073 patients of PCa N1 staging from January 2004 to May 2022 was retrospectively enrolled. They were divided into rENE + and rENE - groups and retrospectively analyzed the M staging with nuclear medicine data. The correlation index between unambiguous rENE and M1b staging was calculated. Logistic regression was used to evaluate the predictive performance of unambiguous rENE in M1b staging. ROC curves were used to investigate the relationship between unambiguous rENE and M staging in patients who underwent 68 Ga-PSMA PET/CT. RESULTS: A total of 1073 patients were included. Seven hundred and eighty patients were classified into the rENE + group (mean age, 69.6 years ± 8.7 [standard deviation]), and 293 were classified into rENE - group (mean age, 66.7 years ± 9.4 [standard deviation]). Relationship between unambiguous rENE and M1b existed (r = 0.58, 95%CI: 0.52-0.64, P < 0.05). Unambiguous rENE could be an independent predictor for M1b (OR = 13.64, 95%CI: 9.23-20.14, P < 0.05). The AUC of unambiguous rENE in predicting M1b and M staging was 0.835 and 0.915, respectively, in patients who underwent 68 Ga-PSMA PET/CT. CONCLUSIONS: Unambiguous rENE could be a strong biomarker to predict M1b and M staging in patients with PCa. When rENE came up, patients should perform nuclear medicine immediately, and a systematic treatment should be considered.