System and method for predicting skin radiation injury of radiotherapy patient

• Main Authors: WANG XIANLIANG, LU SHUN, FENG MEI, ZHANG DEKANG, LI JIE, FAN MING, CHEN MEIHUA, WANG PEI, LI LINTAO, YIN GANG
• Format: Patent
• Language: Chinese; English
• Published: 29.07.2022
• Subjects: DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; SURGERY

The invention discloses a radiotherapy patient skin radiation damage prediction system and method.The radiotherapy patient skin radiation damage prediction system comprises Raman spectrum data acquisition equipment and a computer, the Raman spectrum data acquisition equipment is used for acquiring Raman spectrum data generated in a skin area, and the computer conducts damage prediction based on the Raman spectrum data. And predicting the sensitivity of the skin to radiation injury. According to the method, damage prediction analysis is carried out by collecting the Raman spectrum data, prediction is carried out based on the machine learning method, radiation damage prediction can be achieved, the prediction result is high in accuracy, and reference is provided for use dose determination during radiotherapy by predicting radiation damage in advance. 本发明公开了一种放疗患者皮肤辐射损伤预测系统及方法，包括拉曼光谱数据采集设备和计算机，其中，所述拉曼光谱数据采集设备用于采集皮肤区域产生的拉曼光谱数据，所述计算机基于所述拉曼光谱数据进行损伤预测，预测皮肤对辐射损伤的敏感性。本发明通过采集拉曼光谱数据进行损伤预测分析，且基于机器学习方法进行预测，不仅可以实现辐射损伤预测，而且