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World journal of urology · 2026

Risk factors for seminal vesicle invasion at radical prostatectomy.

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Ozawa Yu, Moschovas Marcio Covas, Bravi Carlo Andrea, Sandri Marco, Sharma Rohan, Montesi Marco, Bubishate Saleh, Saikali Shady, Diamond Ari, Rogers Travis, Patel Vipul

Аннотация

PURPOSE: To comprehensively assess predictors of seminal vesicle invasion (SVI) at radical prostatectomy given the low sensitivity of magnetic resonance imaging (MRI). METHODS: Between 2017 and 2025, 4,448 patients underwent radical prostatectomy alone. Multivariable logistic regression was used to identify clinicopathological and MRI-related predictors of pathologic SVI, including age, Black race, PSA, PSA density, clinical T stage, Grade Group, percentage of positive cores, basal tumor involvement on systematic biopsy, the location of PI-RADS 4/5 lesions (apex/midgland/base), and MRI-suspected extracapsular extension and SVI. The same variables were evaluated in patients without MRI-detected SVI (n = 4,358). Model discrimination was assessed using the AUC. RESULTS: Pathologic SVI prevalence was 6.9% (305/4,448). MRI demonstrated 17% sensitivity and 99% specificity. Independent clinicopathological predictors (all p < 0.04) were Black race (OR 1.48), log-PSA (OR 2.30/1-unit), Grade Groups 3–5 (OR 2.56–4.32), percentage of positive cores (OR 1.21/10%), and basal tumor involvement on biopsy (OR 1.92). MRI-related independent predictors (all p < 0.01) were SVI (OR 15.7), extracapsular extension (OR 1.69), and midgland (OR 1.49) and basal (OR 1.92) PI-RADS 4/5 lesions; apex lesions were inversely associated (OR 0.64). These associations remained significant in the MRI-negative subgroup. The model showed good discrimination (AUC 0.80, 95% CI 0.77–0.82), remaining robust in MRI-negative patients (AUC 0.76, 95% CI 0.73–0.79). Limitation included selection bias toward favorable-risk features by excluding patients with hormonal therapy. CONCLUSION: Multifactorial risk assessment, particularly including tumor location, helps mitigate MRI’s limited sensitivity for SVI detection and could inform surgical or radiation planning in patients at risk of SVI.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты