Can Deep Learning-Based Auto-Contouring Software Achieve Accurate Pelvic Volume Delineation in Volumetric Image-Guided Radiotherapy for Prostate Cancer? A Preliminary Multicentric Analysis

Can Deep Learning-Based Auto-Contouring Software Achieve Accurate Pelvic Volume Delineation in Volumetric Image-Guided Radiotherapy for Prostate Cancer? A Preliminary Multicentric Analysis

Background: Radiotherapy (RT) is a mainstay treatment for prostate cancer (PC). Accurate delineation of organs at risk (OARs) is crucial for optimizing the therapeutic window by minimizing side effects. Manual segmentation is time-consuming and prone to inter-operator variability. This study investi...

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Main Authors: Cristiano Grossi, Fernando Munoz, Ilaria Bonavero, Eulalie Joelle Tondji Ngassam, Elisabetta Garibaldi, Claudia Airaldi, Elena Celia, Daniela Nassisi, Andrea Brignoli, Elisabetta Trino, Lavinia Bianco, Silvia Leardi, Diego Bongiovanni, Chiara Valero, Maria Grazia Ruo Redda
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Current Oncology
Subjects:
auto-contouring
organs at risk
deep learning
segmentation
prostate cancer
pelvic lymph nodes
Online Access:https://www.mdpi.com/1718-7729/32/6/321
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