- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05843994
Artificial Intelligence Patient App for RDEB SCCs
Developing a Novel Artificial Intelligence Patient App to Recognize Squamous Cell Carcinoma (SCCs) in Recessive Dystrophic Epidermolysis Bullosa (RDEB): Image Collection
In this study, an artificial intelligence model to detect squamous cell carcinomas (SCC) on photos of recessive dystrophic epidermolysis bullosa (RDEB) skin is developed. The ultimate goal is to integrate this model into an app for patients and physicians, to help detect SCCs in RDEB early.
SCCs which rapidly metastasize are the main cause of death in adults with RDEB. The earlier an SCC is recognized, the easier it can be removed and the better the outcome. AI leverages computer science to perform tasks that typically require human intelligence and has recently been used to identify skin cancers based on images. We are currently developing an AI approach for early detection of SCC and distinction of malignancy from chronic wounds and other RDEB skin findings. The aim is to create a web application for patients with RDEB to upload images of their skin and get an output as to SCC present/ no SCC. This will be especially valuable for patients with difficult access to medical expertise and those who are hesitant to allow full skin examination at each visit, often because of fear of biopsies. Thus, this project will directly benefit patients by allowing early recognition of SCCs and will empower patients and their families by providing a home use tool.
So far, the study team has mainly used professional images (photographs taken in hospital settings by physicians, nurses, and clinical photographers) of both SCCs in RDEB and images of RDEB skin without SCC to develop and train the AI model. The images that are expected in a real-life setting will mostly be pictures taken by patients or family members with their phones or digital cameras. These images have different properties regarding resolution, focus, lighting, and backgrounds. Incorporating such images will be crucial in the upcoming phases of model development-testing and validation-for the web application be a success for patients.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This project will enroll adolescents and adults with RDEB and history of at least one SCC. The survey and consents will be provided in English, Spanish, German, French, Arabic, Chinese, and Russian. The study team is inviting people with RDEB around the world to participate and are hoping that approximately 100 people will provide images.
Participants will be asked to complete the survey and upload photographs of SCC(s) using the links below. Depending on the number of SCCs they have had and the number of photos they want to provide, the survey will take approximately 15-20 minutes to complete.
To participate in this study, please follow this link:
https://redcap.nubic.northwestern.edu/redcap/surveys/?s=JH9LHR4CC4R4H3HN
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Illinois
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Chicago, Illinois, United States, 60611
- Department of Dermatology, Northwestern University Feinberg School of Medicine and Lurie Children's Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Patients with RDEB worldwide are invited to participate in this virtual research to contribute photographs of their SCCs.
To participate in this study, please follow this link: https://redcap.nubic.northwestern.edu/redcap/surveys/?s=JH9LHR4CC4R4H3HN
Description
Inclusion Criteria:
- patient with recessive dystrophic epidermolysis bullosa
- patient with history of cutaneous squamous cell carcinoma
- patient consent for upload and use of clinical data and photographs
Exclusion Criteria:
- Patients who do not agree to upload and use of photographs and clinical data
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Percent agreement of the presence or absence of squamous cell carcinoma (SCC) on the skin in photographs as detected by the App versus confirmed physician diagnosis
Time Frame: one day survey
|
one day survey
|
Collaborators and Investigators
Sponsor
Collaborators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Neoplasms by Site
- Neoplasms
- Connective Tissue Diseases
- Neoplasms by Histologic Type
- Neoplasms, Glandular and Epithelial
- Carcinoma
- Neoplasms, Squamous Cell
- Collagen Diseases
- Congenital, Hereditary, and Neonatal Diseases and Abnormalities
- Skin and Connective Tissue Diseases
- Congenital Abnormalities
- Carcinoma, Squamous Cell
- Genetic Diseases, Inborn
- Skin Neoplasms
- Skin Diseases
- Epidermolysis Bullosa
- Epidermolysis Bullosa Dystrophica
- Skin Diseases, Genetic
- Skin Abnormalities
- Skin Diseases, Vesiculobullous
Other Study ID Numbers
- 2023-5810
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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