Deep Learning-based Classification and Prediction of Radiation Dermatitis in Head and Neck Patients

Launched by CANCER INSTITUTE AND HOSPITAL, CHINESE ACADEMY OF MEDICAL SCIENCES · Oct 31, 2022

Keywords

ClinConnect Summary

This clinical trial is studying a new way to help doctors understand and predict radiation dermatitis, a skin condition that can occur in patients receiving treatment for head and neck cancer. The researchers are developing a deep learning model, which is a type of advanced computer program, to help classify how severe the skin reactions are and to predict how they might change over time. This could ultimately support doctors in providing better care for their patients.

To be eligible for this trial, participants must be at least 18 years old and have a confirmed diagnosis of head and neck cancer. They should be undergoing radical radiotherapy that includes the neck area. Participants will need to provide consent to join the study and should be able to cooperate with the imaging process used to gather information. As the trial is currently recruiting, participants can expect to contribute to important research that could improve treatment and quality of life for others facing similar challenges.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Age ≥ 18 years old.
• • Histologically or cytologically confirmed head and neck carcinoma confirmed by pathology.
• • Receive radical radiotherapy including neck area
• • Informed consent.
• Exclusion Criteria:
• • unable to cooperate with image acquisition