Melanoma Image Analysis Algorithm (MIAA) Validation Study

Effectiveness of an Image Analysing Algorithm to Diagnose Melanoma Compared to Gold Standard Histological Determination

Prospective, single-arm, cross-sectional, study to establish the effectiveness of MIAA to detect melanoma in pigmented lesions, compared to gold standard histological determination.

Skin Analytics Limited have developed an algorithm (MIAA) which reviews photographs of pigmented lesions to determine whether melanoma is likely to be present. This study aims to establish how well MIAA determines the presence or absence of melanoma, compared to a biopsy.

Pigmented lesions that a dermatologist has decided to biopsy, and are suitable for photographing, will be photographed up to five times in a single visit. Three different camera will be used, and two different dermoscopic lens attachments will be used on smartphone cameras. Images will be analysed by MIAA and the results compared to the biopsy result. Clinicians, patients and the statistical analysis team will be blinded to the result of MIAA.

At least 65 pigmented lesions positive for melanoma (as determined by biopsy) are required, which is predicted to mean 1250 patients will be recruited.

Inclusion Criteria:

• Participant is willing and able to give informed consent for participation in the study,
• Male or Female, aged 18 years or above,
• Have at least 1 lesion suitable for photographing that is scheduled for biopsy to determine the presence of melanoma,
• In the Investigators opinion, able and willing to comply with all study requirements.

Exclusion Criteria:

• Any other significant disease or disorder which, in the opinion of the Investigator, may either put the participants 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.