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Dataset Information

Prediction of biochemical recurrence after radical prostatectomy from primary tumour characteristics.


ABSTRACT:

Objectives

To construct and externally calibrate a predictive model for early biochemical recurrence (BCR) after radical prostatectomy (RP) incorporating clinical and modern imaging characteristics of the primary tumour.

Patients and methods

Patients who underwent RP following multiparametric magnetic resonance imaging, prostate biopsy and prostate-specific membrane antigen-positron emission tomography/computed tomography (PSMA-PET/CT), from two centres in Australia and the Netherlands. The primary outcome was biochemical recurrence-free survival (BRFS), where BCR was defined as a rising PSA level of ≥0.2 ng/mL or initiation of postoperative treatment per clinician discretion. Proportional hazards models to predict time to event were developed in the Australian sample using

SUBMITTER: Roberts MJ 

PROVIDER: S-EPMC11603102 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature