Development and evaluation of a lymph node invasion risk prediction model in intermediate- and high-risk prostate cancer patients.

ABSTRACT:

Background and purpose

Many prostate cancer patients undergoing pelvic lymph node dissection (PLND) have no sign of lymph node invasion (LNI) during final pathological assessment. To improve preoperative staging accuracy, we developed the Oslo model, which estimates the risk of LNI based on clinical, histopathological, and magnetic resonance imaging (MRI) variables.

Patients/materials and methods

We utilized data from 903 prostate cancer patients treated at Oslo University Hospital (OUS) to develop the model using Bayesian logistic regression. The Oslo model was validated with data from 189 patients at IRCCS Ospedale San Raffaele (HRS), 157 from St. Olav's Hospital, and 231 from OUS. We assessed its performance against the Memorial Sloan Kettering Cancer Centre (MSKCC) and B

SUBMITTER: Ramberg H 

PROVIDER: S-EPMC12560406 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature