Improving segmentation precision in prostate cancer adaptive radiation therapy with a patient-specific network.

ABSTRACT: Adaptive radiotherapy (ART) enhances prostate cancer treatment by accounting for daily anatomical variations, but clinical implementation remains limited due to the need for accurate and efficient auto segmentation; manual corrections after automated contouring often hinder workflow efficiency. To address this, we propose a patient-specific network (PSN) approach for clinical target volume (CTV) segmentation using cone-beam computed tomography (CBCT). This retrospective study included 26 prostate cancer patients treated with CBCT-guided online ART using the Ethos therapy system, comprising 119 retrospectively exported fractions. The PSN framework uses a two-stage strategy: initial pre-training followed by patient-specific fine-tuning via PSNadaptive or PSNsequence, implemented with the Swi

SUBMITTER: Hwang J 

PROVIDER: S-EPMC12448962 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature