Prospective Observational Study to Predict Severe Oral Mucositis Associated With Chemoradiotherapy in Nasopharyngeal Carcinoma Based on Deep Learning
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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Study Design
Outcome Measures
Primary Outcome Measures
- 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
Eligibility Criteria
Criteria
Inclusion Criteria:
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Initial diagnosis, pathological histological diagnosis, the pathological type is non-keratotic carcinoma (according to the WHO pathological classification).
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Initial intensity-modulated radiotherapy (Intensity modulated radiation therapy, IMRT).
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No previous radiotherapy was received.
Exclusion Criteria:
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Patients with recurrent nasopharyngeal carcinoma.
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Radiotherapy plan cannot be obtained.
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Previous history of malignancy; previous radiotherapy.
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The primary lesion and cervical metastatic lesions have received surgical treatment (except for diagnostic treatment).
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Sun Yat-sen University
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- B2022-420-Y01