Can Deep Learning-Based Auto-Contouring Software Achieve Accurate Pelvic Volume Delineation in Volumetric Image-Guided Radiotherapy for Prostate Cancer? A Preliminary Multicentric Analysis
LC shows promise for automating OAR delineation in prostate radiotherapy, particularly for the bladder and rectum. Improvements are needed for bowel bag, sigmoid colon, and lymph node sub-regionalization. Further validation with a broader and larger patient cohort is recommended to assess generalizability.
Authors
- Elisabetta Trino
- E. Garibaldi (ORCID: https://orcid.org/0000-0002-9751-2357)
- Maria Grazia Ruo Redda (ORCID: https://orcid.org/0000-0001-5263-9533)
- Cristiano Grossi
- Chiara Valero
- Claudia Airaldi
- Silvia Leardi
- Ilaria Bonavero
- Daniela Nassisi
- Lavinia Bianco (ORCID: https://orcid.org/0000-0002-1265-8059)
- Fernando Muñoz (ORCID: https://orcid.org/0000-0002-0255-8986)
- Diego Bongiovanni
- Andrea Brignoli (ORCID: https://orcid.org/0000-0001-6467-4299)
- Eulalie Joelle Tondji Ngassam
- E. Celia
Institutions
- University of Turin (IT)
Publication Details
- Journal
- Current Oncology
- Published
- 2025-05-30
- DOI
- https://doi.org/10.3390/curroncol32060321
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00