Predictive Study on Acute Radiation Induced Oral Mucositis in Nasopharyngeal Carcinoma Patients
NCT05858385 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 700
Last updated 2024-04-30
Summary
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.
Conditions
- Nasopharyngeal Carcinoma by AJCC V8 Stage
- Radiation Induced Mucositis
Interventions
- OTHER
-
Intervention based on key factors identified by the severe RIOM prediction model
Intervention based on key factors identified by the severe RIOM prediction model
Sponsors & Collaborators
-
Affiliated Cancer Hospital & Institute of Guangzhou Medical University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-09-22
- Primary Completion
- 2024-06-30
- Completion
- 2024-12-31
Countries
- China
Study Locations
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