Development of a 3D CNN-based AI Model for Automated Segmentation of the Prostatic Urethra.

ABSTRACT:

Rationale and objective

The combined use of prostate cancer radiotherapy and MRI planning is increasingly being used in the treatment of clinically significant prostate cancers. The radiotherapy dosage quantity is limited by toxicity in organs with de-novo genitourinary toxicity occurrence remaining unperturbed. Estimation of the urethral radiation dose via anatomical contouring may improve our understanding of genitourinary toxicity and its related symptoms. Yet, urethral delineation remains an expert-dependent and time-consuming procedure. In this study, we aim to develop a fully automated segmentation tool for the prostatic urethra.

Materials and methods

This study incorporated 939 patients' T2-weighted MRI scans (train/validation/test/excluded: 657/141/140/1 patients), i

SUBMITTER: Belue MJ 

PROVIDER: S-EPMC9339453 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature