ArticleWorld journal of urology2025
Multiparametric MRI lesion dimension as a significant predictor of positive surgical margins following laparoscopic radical prostatectomy for transitional zone prostate cancer.
Article in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Pathological Tumour Volume Percentage as a Quantitative Biomarker of Biological Aggressiveness in High-Risk Prostate Cancer.Cancers · 2026Article
- Overdiagnosis and Overtreatment in Prostate Cancer.Diseases (Basel, Switzerland) · 2025Review
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Authors and funding
8 authors.
Funding
Abstract
backgroundPositive surgical margins (PSM) after laparoscopic radical prostatectomy are a critical factor influencing treatment outcomes and prognosis in prostate cancer. Optional treatment strategies (neoadjuvant therapy, surgical techniques) and intraoperative margin monitoring highlight the importance of PSM risk assessment. This study aims to evaluate the potential PSM risk in transitional zone (TZ) tumors. MATERIALS AND
methodsThis retrospective study included 434 patients who underwent laparoscopic radical prostatectomy after multiparametric magnetic resonance imaging at our center between 2019 and 2023.
resultsThe PSM rate was significantly higher in patients with TZ lesions compared to those with peripheral zone lesions (47%, n = 175 vs. 28%, n = 226, p < 0.01). Lesion location in TZ (OR: 4.29, 97.5% CI: 2.60-7.23, p < 0.01) was identified as independent risk factors for PSM. Further analysis identified largest dimension of lesions (OR: 1.27, 97.5% CI: 1.09-1.50, p < 0.01) and the number of positive biopsy cores (OR: 1.39, 97.5% CI: 1.16-1.70, p < 0.01) as independent risk factors for PSM in patients with TZ tumors. LASSO regression identified four significant variables (largest dimension of lesions-the most important variable, number of positive biopsy cores, prostate-specific antigen density, and International Society of Urological Pathology grade). These variables were used to construct three PSM risk prediction models, each demonstrating favorable predictive accuracy and clinical benefit.
conclusionsCertain TZ prostate cancer patients demonstrate a higher predisposition to PSM occurrence. Lesion dimension as a significant predictor of PSM for TZ patients. Separate PSM risk assessments for subgroups, like TZ prostate cancer patients, may enhance predictive accuracy and clinical utility. CLINICAL
trial registrationChina Clinical Trial Registry (ChiCTR2300075944, 2023).
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