Koett Magdalena, Melchior Felix, Artamonova Nastasiia, Bektic Jasmin, Heidegger Isabel
Department of Urology, Medical University Innsbruck, Innsbruck, Austria.
Curr Opin Urol. 2025 Jul 1;35(4):439-446. doi: 10.1097/MOU.0000000000001268. Epub 2025 Feb 17.
This review provides a critical analysis of recent advancements in active surveillance (AS), emphasizing updates from major international guidelines and their implications for clinical practice.
Recent revisions to international guidelines have broadened the eligibility criteria for AS to include selected patients with ISUP grade group 2 prostate cancer. This adjustment acknowledges that certain intermediate-risk cancers may be appropriate for AS, reflecting a heightened focus on achieving a balance between oncologic control and maintaining quality of life by minimizing the risk of overtreatment.
This review explores key innovations in AS for prostate cancer, including multi parametric magnetic resonance imaging (mpMRI), genomic biomarkers, and risk calculators, which enhance patient selection and monitoring. While promising, their routine use remains debated due to guideline inconsistencies, cost, and accessibility. Special focus is given to biomarkers for identifying ISUP grade group 2 cancers suitable for AS. Additionally, the potential of artificial intelligence to improve diagnostic accuracy and risk stratification is examined. By integrating these advancements, this review provides a critical perspective on optimizing AS for more personalized and effective prostate cancer management.
本综述对主动监测(AS)的近期进展进行批判性分析,重点强调主要国际指南的更新内容及其对临床实践的影响。
国际指南的近期修订拓宽了AS的适用标准,将部分国际泌尿病理学会(ISUP)2级前列腺癌患者纳入其中。这一调整认识到某些中危癌症可能适合进行AS,反映出更加注重在肿瘤控制与通过尽量降低过度治疗风险来维持生活质量之间取得平衡。
本综述探讨了前列腺癌AS的关键创新,包括多参数磁共振成像(mpMRI)、基因组生物标志物和风险计算器,这些有助于优化患者选择和监测。尽管前景广阔,但由于指南不一致、成本和可及性等问题,它们的常规应用仍存在争议。特别关注用于识别适合AS的ISUP 2级癌症的生物标志物。此外,还研究了人工智能在提高诊断准确性和风险分层方面的潜力。通过整合这些进展,本综述为优化AS以实现更个性化、有效的前列腺癌管理提供了批判性观点。