[A Study on Radiation Dermatitis Grading Support System Based on Deep Learning by Hybrid Generation Method].

Purpose: Radiation dermatitis is one of the most common adverse events in patients undergoing radiotherapy. However, the objective evaluation of this condition is difficult to provide because the clinical evaluation of radiation dermatitis is made by visual assessment based on Common Terminology Criteria for Adverse Events (CTCAE). Therefore, we created a radiation dermatitis grading support system (RDGS) using a deep convolutional neural network (DCNN) and then evaluated the effectiveness of the RDGS.

Effect of Film Dressing on Acute Radiation Dermatitis Secondary to Proton Beam Therapy.

Purpose: Acute radiation dermatitis (ARD) is one of the most common adverse events of proton beam therapy (PBT), and there is currently no effective method to manage ARD. The purpose of this study was to examine the prophylactic effect of a film dressing using Airwall on PBT-induced ARD compared with standard skin managements.

Methods And Materials: A total of 271 patients with prostate cancer who were scheduled for PBT at our center were divided into 2 groups based on their own requests: 145 patients (53%) chose Airwall (group A) and 126 patients (47%) received standard treatments (group B).