[18F]F-DCFPyL PET/MRI radiomics for intraprostatic prostate cancer detection and metastases prediction using whole-gland segmentation.

ABSTRACT:

Objectives

To evaluate [18F]F-DCFPyL PET/MRI whole-gland-derived radiomics for detecting clinically significant (cs) prostate cancer (PCa) within the prostate gland and predicting extra-prostatic metastasis (N and M staging).

Methods

In this single-centre, retrospective study, therapy-naïve PCa patients who underwent [18F]F-DCFPyL PET/MRI were included. Whole-prostate segmentation was performed. Feature extraction from each modality was done. The selection of potential variables was made through regularized binomial logistic regression. The oversampled training data were used to train binomial logistic regression for each outcome. The estimates of the models were calculated, and the mean accuracy was reported. The trained models were assessed on the test data for comparative

SUBMITTER: Mirshahvalad SA 

PROVIDER: S-EPMC12515043 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature