Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings.

ABSTRACT:

Background

Radiomics or computer-extracted texture features derived from MRI have been shown to help quantitatively characterize prostate cancer (PCa). Radiomics have not been explored depth in the context of predicting biochemical recurrence (BCR) of PCa.

Purpose

To identify a set of radiomic features derived from pretreatment biparametric MRI (bpMRI) that may be predictive of PCa BCR.

Study type

Retrospective.

Subjects

In all, 120 PCa patients from two institutions, I₁ and I₂ , partitioned into training set D₁ (N = 70) from I₁ and independent validation set D₂ (N = 50) from I₂ . All patients were followed for ≥3 years.

Sequence

3T, T₂ -weighted (T₂ WI) and apparent

SUBMITTER: Shiradkar R 

PROVIDER: S-EPMC6222024 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature