Auto-delineation of Clinical Target Volume and Organs at Risk in Cervical Cancer Radiotherapy

Development and Validation of a Deep Learning Algorithm for Auto-delineation of Clinical Target Volume and Organs at Risk in Cervical Cancer Radiotherapy: Cervical cancer is the second most common cancer in women aged 15 to 44 years worldwide [1,2]. Intensity-modulated radiation therapy (IMRT) has become the preferred radiotherapy method for locally advanced cervical cancer treatment [3]. Accurate delineation of the clinical target volume (CTV) and organ-at-risk (OAR) is one of the essential steps for successful IMRT delivery. Such delineation is conventionally performed by radiotherapy oncologists through laborious manual delineation. The delineation is time-consuming [4] and heavily relies on the radiotherapy oncologists’ experience.