Ontology highlight
ABSTRACT: Objectives
To identify the predictive factors of prostate cancer extracapsular extension (ECE) in an institutional cohort of patients who underwent multiparametric MRI of the prostate prior to radical prostatectomy (RP).Patients and methods
Overall, 126 patients met the selection criteria, and their medical records were retrospectively collected and analysed; 2 experienced radiologists reviewed the imaging studies. Logistic regression analysis was conducted to identify the variables associated to ECE at whole-mount histology of RP specimens; according to the statistically significant variables associated, a predictive model was developed and calibrated with the Hosmer-Lomeshow test.Results
The predictive ability to detect ECE with the generated model was 81.4% by in
SUBMITTER: Sanguedolce F
PROVIDER: S-EPMC10787875 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature