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

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT02511119

Enrollment

300

Registered

2015-07-29

Start date

2015-07-31

Completion date

Unknown

Last updated

2015-07-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Melanoma

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame
Number of participants with Melanoma	Three years

Contacts

Primary ContactBlanca Quijano-Ruiz, Pharmacist

blanca.quijano@imibic.org(+34) 677 906 567

Outcome results