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

Melanoma Clinical Trial

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT02511119
• Other study ID #: JRR-MEL-2015
• Status: Not yet recruiting
• Phase: N/A
• First received: July 28, 2015
• Last updated: July 29, 2015
• Start date: July 2015

Study information

• Verified date: July 2015
• Source: Maimónides Biomedical Research Institute of Córdoba
• Contact: Blanca Quijano-Ruiz, Pharmacist
• Phone: (+34) 677 906 567
• Email: blanca.quijano[@]imibic.org
• Is FDA regulated: No
• Health authority: Comité Ético de Investigación Clínica Spain:
• Study type: Observational

Clinical Trial 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.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 300
• Est. primary completion date: July 2018
• Accepts healthy volunteers: No
• Gender: Both
• Age group: 18 Years and older

Eligibility

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

Study Design

Observational Model: Cohort, Time Perspective: Prospective

Related Conditions & MeSH terms

• Melanoma

Locations

Country	Name	City	State
n/a

Sponsors (2)

Lead Sponsor	Collaborator
Maimónides Biomedical Research Institute of Córdoba	Mount Sinai Hospital, New York

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Number of participants with Melanoma		Three years	No