Risk Prediction of Severe Radiation-induced Oral Mucositis in Locally Advanced Nasopharyngeal Carcinoma
Exploring effective risk prediction models for severe Radiation-Induced Oral Mucositis (RIOM/RTOM), providing a research basis for mitigating oral radiation toxicity, and effectively improving the sensitivity of dentists in predicting the risk of severe RIOM in locally advanced nasopharyngeal carcinoma patients.Based on precise radiotherapy, it is proposed to extract OAR using the contour of local oral areas. Explore more accurate RIOM dose-response relationships.Exploring a new type of fusion classifier, by complementing the information between each base classifier, helps to maximize the utilization of the information contained in different factors to build a more objective, reliable, and efficient multi criteria decision-making based risk prediction model for severe RIOM. It use predictive models to identify key risk factors for severe RIOM and further validate the effectiveness of this risk factor in reducing the risk of severe RIOM on risk factors for severe RIOM identified by the predictive mode.
• Confirmed as nasopharyngeal carcinoma through pathological tissue biopsy, AJCC 8th edition bed staging is I-Iva stage, with no distant metastasis
• First time receiving radical radiation therapy and receiving RTOM observation and treatment throughout the entire process in the Department of Stomatology
• Complete information on anti-tumor treatment materials
• No oral mucosal diseases that have not been effectively controlled in the past or still require long-term medication treatment
• Other diseases that do not affect the treatment of nasopharyngeal carcinoma