Prospective Observational Study to Predict Severe Oral Mucositis Associated With Chemoradiotherapy in Nasopharyngeal Carcinoma Based on Deep Learning
- Conditions
- Nasopharyngeal CarcinomaOral Mucositis
- Registration Number
- NCT06032767
- Lead Sponsor
- Sun Yat-sen University
- Brief Summary
The goal of this observational study is to apply the CNN-based DL method to extract the three-dimensional spatial information of IMRT dose distribution to predict the occurrence probability of serious radiotherapy and chemotherapy induced oral mucositis(SRCOM), and compare with a model based on dosimetry, NTCP or doseomics to improve the prediction accuracy of SRCOM, thus guiding the clinical planning design, reducing the occurrence probability of OM, and may have the potential value of preventing serious complications and improving the quality of life in patients with nasopharyngeal carcinoma.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 480
- Initial diagnosis, pathological histological diagnosis, the pathological type is non-keratotic carcinoma (according to the WHO pathological classification).
- Initial intensity-modulated radiotherapy (Intensity modulated radiation therapy, IMRT).
- No previous radiotherapy was received.
- Patients with recurrent nasopharyngeal carcinoma.
- Radiotherapy plan cannot be obtained.
- Previous history of malignancy; previous radiotherapy.
- The primary lesion and cervical metastatic lesions have received surgical treatment (except for diagnostic treatment).
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method RTOG/EROTC Acute Radiation Reaction Scoring Standard through radiation therapy, an average of 7 weeks Toxicity records of oral mucosal Reaction in patients are conducted by professionally trained oncologists
- Secondary Outcome Measures
Name Time Method
Related Research Topics
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Trial Locations
- Locations (1)
Sun Yat-sen University Cancer Center
🇨🇳Guangzhou, Guangdong, China
Sun Yat-sen University Cancer Center🇨🇳Guangzhou, Guangdong, ChinaFang-Yun Xie, professorContact+86-20-87342926xiefy@sysucc.org.cn