Using deep learning to predict radiation dermatitis in head and neck cancer patients
Deep Learning-based Classification and Prediction of Radiation Dermatitis in Head and Neck
This study is testing a new computer program that uses pictures to see if it can predict skin problems in patients with head and neck cancer who are getting radiation treatment.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 300 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Cancer Institute and Hospital, Chinese Academy of Medical Sciences Academic / other |
| Drugs / interventions | radiation |
| Locations | 2 sites (Shenzhen, Guangdong and 1 other locations) |
| Trial ID | NCT05607225 on ClinicalTrials.gov |
What this trial studies
This study aims to develop a deep learning model that classifies and predicts the severity of radiation dermatitis in patients with head and neck cancer undergoing radiotherapy. It involves collecting images of the neck area from patients before and during treatment, which are then graded by experienced radiotherapy experts. The model's performance will be evaluated using various metrics such as accuracy and precision to ensure its reliability in clinical settings.
Who should consider this trial
Good fit: Ideal candidates are adults aged 18 and older with confirmed head and neck carcinoma who are undergoing radical radiotherapy.
Not a fit: Patients who are unable to cooperate with image acquisition will not benefit from this study.
Why it matters
Potential benefit: If successful, this model could enhance the ability of healthcare providers to predict and manage radiation dermatitis, improving patient care.
How similar studies have performed: While the use of deep learning in medical imaging is gaining traction, this specific application in predicting radiation dermatitis is relatively novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion 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
Where this trial is running
Shenzhen, Guangdong and 1 other locations
- Shenzhen Cancer Hospital, Chinese Academy of Medical Sciences — Shenzhen, Guangdong, China (Recruiting)
- Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College — Beijing, China (Recruiting)
Study contacts
- Principal investigator: Ye Zhang, MD — Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College
- Study coordinator: Li Ma, MD
- Email: ml_1990@126.com
- Phone: 86-755-66618168
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.