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Clinical Trials/NCT02511119
NCT02511119
Unknown
Not Applicable

Application of Genomic Techniques and Image Processing Using Artificial Intelligence to Obtain a Predictor Model Risk of Melanoma

Maimónides Biomedical Research Institute of Córdoba0 sites300 target enrollmentJuly 2015
ConditionsMelanoma

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Melanoma
Sponsor
Maimónides Biomedical Research Institute of Córdoba
Enrollment
300
Primary Endpoint
Number of participants with Melanoma
Last Updated
10 years ago

Overview

Brief Summary

The aim of this study is to develop a predictive model of risk of developing melanoma. The investigators will used artificial intelligence techniques to analysed images patterns obtained by clinical and dermoscopic pictures. The investigators want to defined a new predictive risk model obtained from genetic information and image analysis of pigmented lesions. This model could help to discriminate more accurately those patients who are most likely to develop melanoma in a high-risk population.

Registry
clinicaltrials.gov
Start Date
July 2015
End Date
July 2018
Last Updated
10 years ago
Study Type
Observational
Sex
All

Investigators

Sponsor
Maimónides Biomedical Research Institute of Córdoba
Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • ≥18 years of age;
  • Followed up patients in the Pigmented Lesions Unit at Reina Sofia University Hospital with high risk of developing melanoma (First-degree family/personal history of familiar melanoma and/or melanocyticnevi above 50 and/or dysplastic or atypical nevi);
  • All nevi for which there is at least one dermatoscopy registry will be included.

Exclusion Criteria

  • not enough data in the patient clinical history;
  • located lesions on the face, scalp, mucous membrane or on acral área;
  • nodular or metastatic melanoma diagnosis
  • type V or VI of Fitzpatrick phototyping scale

Outcomes

Primary Outcomes

Number of participants with Melanoma

Time Frame: Three years

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