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

NCT05607225 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2022-11-07

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Cancer Institute and Hospital, Chinese Academy of Medical Sciences

    lead OTHER

Principal Investigators

  • Ye Zhang, MD · Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College

  • Li Ma, MD · Shenzhen Cancer Hospital, Chinese Academy of Medical Sciences

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-07-01
Primary Completion
2025-06-30
Completion
2025-06-30

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05607225 on ClinicalTrials.gov