CLIP-based multimodal endorectal ultrasound enhances prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer
by Hanchen Zhang, Hang Yi, Si Qin, Xiaoyin Liu, Guangjian Liu
BackgroundForecasting the patient’s response to neoadjuvant chemoradiotherapy (nCRT) is crucial for managing locally advanced rectal cancer (LARC). This study investigates whether a predictive model using image-text features extracted from endorectal ultrasound (ERUS) via Contrastive Language-Image Pretraining (CLIP) can predict tumor regression grade (TRG) before nCRT.
MethodsA retrospective analysis of 577 LARC patients... Читать дальше...