Comparatıve evaluatıon of the brıgantı nomogram, partın nomogram, mskcc nomogram and a machıne learnıng-based model ın predıctıng lymph node ınvasıon before radıcal prostatectomy

Abstract Introduction Accurate preoperative prediction of lymph node invasion (LNI) is crucial for deciding on extended pelvic lymph node dissection (ePLND) in radical prostatectomy. Traditional nomograms such as Briganti, Partin, and MSKCC are widely used, but machine learning (ML)–based models may...

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Autors principals:	Ismail Onder Yılmaz, Ozgür Yılmaz, Mehmet Zubaroglu, Rahmi Kavak, Nebil Akdogan, Mehmet Gurkan Arikan, Mutlu Deger, Volkan Izol
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2026-04-01
Col·lecció:	BMC Urology
Matèries:	Lymph Node Invasion Prostate Cancer Machine Learning Nomograms Predictive Accuracy Decision Support
Accés en línia:	https://doi.org/10.1186/s12894-026-02128-y
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