Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Machine learning model for predicting interfraction motion of the seminal vesicles in prostate cancer radiotherapy.
Mitsuaki Terabe, Takeshi Kamomae, Yuki Taniguchi, Takayuki Miyachi, Hajime Ichikawa, Risei Miyauchi, Junji Ito, Mariko Kawamura, Shunichi Ishihara, Shinji Naganawa
Published: 202610.1016/j.radonc.2026.111368
Abstract
BACKGROUND AND PURPOSE: In external beam radiotherapy for prostate cancer, inclusion of the seminal vesicles (SV) in the clinical target volume (CTV) is often complicated by considerable SV motion and deformation. This study aimed to investigate the…
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