Clinical target volume segmentation based on gross tumor volume using deep learning for head and neck cancer treatment

Accurate clinical target volume (CTV) delineation is important for head and neck intensity-modulated radiation therapy. However, delineation is time-consuming and susceptible to interobserver variability (IOV). Based on a manual contouring process commonly used in clinical practice, we developed a deep learning (DL)-based method to delineate a low-risk CTV with computed tomography (CT) and gross tumor volume (GTV) input and compared it with a CT-only input. A total of 310 patients with oropharynx cancer were randomly divided into the training set (250) and test set (60).

Source: Medical Dosimetry - October 21, 2022 Category: Radiology Authors: Sayaka Kihara, Yuhei Koike, Hideki Takegawa, Yusuke Anetai, Satoaki Nakamura, Noboru Tanigawa, Masahiko Koizumi Source Type: research