DERM US and EU Validation Study
- Conditions
- Malignant Skin Melanoma T0Basal Cell CarcinomaSquamous Cell Carcinoma
- Registration Number
- NCT05126173
- Lead Sponsor
- Skin Analytics Limited
- Brief Summary
This study aims establish the effectiveness of Image Analysing Algorithm (DERM) to identify melanoma, Squamous Cell Carcinoma (SCC) and Basal Cell Carcinoma (BCC) when used to analyse dermoscopic images of skin lesions within the US and European population.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1111
- Willing and able to give informed consent for participation in the study,
- Male or Female, aged 18 years or above,
- Have at least one suitable skin lesion that will be biopsied due to a suspicion of skin cancer,
To be suitable for inclusion, a skin lesion must NOT have ANY of the following limitations:
located on an anatomical site of different skin structure: palms of hands or soles of feet (acral lesion), mucosal surfaces (lips and eyes) or under nail (ungal lesion), a diameter greater than the diameter of the dermoscopic lenses, located on an anatomical site unsuitable for photographing, including on surface of genitals and hair-bearing areas, has been previously biopsied, excised, treated or otherwise traumatised, located in an area of visible scarring or tattooing.
- In the Investigator's opinion, able and willing to comply with all study requirements.
- Any other significant disease or disorder which, in the opinion of the Investigator, may either put the participant at risk because of participation in the study, or may influence the result of the study, or the participant's ability to participate in the study.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Specificity of DERM to detect Malignant conditions. Through study completion, on average of 1 day Specificity of DERM to detect Melanoma, SCC and BCC combined
Sensitivity of DERM to detect "Malignant conditions" Through study completion, on average of 1 day Sensitivity of DERM to detect Melanoma, SCC and BCC combined
- Secondary Outcome Measures
Name Time Method Sensitivity of DERM to detect Melanoma Through study completion, on average of 1 day Sensitivity of DERM to detect Melanoma
Specificity of DERM to detect Basal Cell Carcinoma Through study completion, on average of 1 day Specificity of DERM to correctly classify BCC
Accuracy of mole/not mole algorithm Through study completion, on average of 1 day Accuracy of mole/not mole algorithm
Sensitivity of DERM to detect Squamous Cell Carcinoma Through study completion, on average of 1 day Sensitivity of DERM to correctly classify SCC
Specificity of DERM to detect Squamous Cell Carcinoma Through study completion, on average of 1 day Specificity of DERM to correctly classify SCC
Specificity of DERM to detect Melanoma Through study completion, on average of 1 day Specificity of DERM to detect Melanoma
Sensitivity of DERM to detect Basal Cell Carcinoma Through study completion, on average of 1 day Sensitivity of DERM to correctly classify BCC
Trial Locations
- Locations (16)
UOSD Dermatology Oncology
🇮🇹Roma, Italy
Universitaria Di Bologna
🇮🇹Bologna, Italy
Dorisca Research Consulting, LLC
🇺🇸Miami, Florida, United States
Northwestern University
🇺🇸Chicago, Illinois, United States
Vista Health Research, LLC
🇺🇸Miami, Florida, United States
ALLCUTIS Research, LLC
🇺🇸Beverly, Massachusetts, United States
Allcutis Research
🇺🇸Methuen, Massachusetts, United States
Universal Dermatology, PLLC
🇺🇸Fairport, New York, United States
University of Pittsburgh Medical Center
🇺🇸Pittsburgh, Pennsylvania, United States
Alpesh D. Desai, DO, PLLC, a Houston company institution
🇺🇸Houston, Texas, United States
University of Utah
🇺🇸Salt Lake City, Utah, United States
Dermatology University of Florence
🇮🇹Firenze, Italy
Università degli Studi di Modena e Reggio Emilia
🇮🇹Modena, Italy
University of Campania
🇮🇹Napoli, Italy
Università del Piemonte Orientale
🇮🇹Novara, Italy
Stanford university
🇺🇸Redwood City, California, United States