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Recruiting
NCT05607225
Deep Learning-based Classification and Prediction of Radiation Dermatitis in Head and Neck Patients
Conditions: Radiation Dermatitis, Head and Neck Cancer
Sex: All
Ages: 18 Years – N/A
Enrollment: 300
Sponsor: Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Location: China
Summary
to develop a deep learning-based model to grade the severity of radiation dermatitis (RD) and predict the severity of radiation dermatitis in patients with head and neck cancer undergoing radiotherapy, so as to provide support for doctors' diagnosis and prediction.
Eligibility Criteria
Inclusion Criteria:Age ≥ 18 years old.Histologically or cytologically confirmed head and neck carcinoma confirmed by pathology.Receive radical radiotherapy including neck areaInformed consent.Exclusion Criteria:unable to cooperate with image acquisition
Source: ClinicalTrials.gov (NCT05607225). StuddyBuddy aggregates publicly available trial information.
