Development of an Aid to Melanoma Detection Using Artificial Intelligence Algorithms Based on Images From the VECTRA 3D System. (SELF DETECT)

Public Assistance-Hospitals of Marseille (AP-HM)

Status: Begins enrollment this month

Conditions: Naevi

Treatments: Other: Scanner of the whole body using the VECTRA 3D

Study type: Interventional

Funder types: Other

Identifiers

NCT06999499

2025-A01109-40 (Other Identifier)

RCAPHM20_0438

Details and patient eligibility

About

The background to this research is that frequent medical screening of the general population for melanoma is not feasible. The real challenge of this project is to develop an automatic process for detecting any potential melanoma. To this end, the project aims to design an algorithm to build a novel diagnostic aid that makes use of the similarity and disparity of pigmented lesions in the same patient. To achieve this, we need to obtain and structure a large database of images grouping all pigmented lesions per patient according to their similarities as perceived by dermatologists.

Enrollment: 1,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Male or female aged 18 and over
• Patient with more than 15 nevi (moles) of various phototypes (I to III)
• Patient who has received information about the study and has not expressed any opposition
• Patient who is a beneficiary or entitled person under a social security scheme

Exclusion criteria

• Patients with phototype V
• Patients with chronic inflammatory skin diseases
• Claustrophobic patients
• Patients who are bedridden or handicapped
• Patients who are excluded from another research protocol at the time of collection of the non-objection.
• Patients covered by articles L1121-5 to 1121-8 of the French Public Health Code (minors, adults under guardianship or trusteeship, patients deprived of their liberty, pregnant or breast-feeding women),
• Any other reason which, in the investigator's opinion, could interfere with the evaluation of the research objectives.

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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1,000 participants in 1 patient group

Scanner of the whole body sing the VECTRA 3D

Experimental group

Description:

Whole body image acquisition using the VECTRA 3D Whole Body 360 Imaging System to detect potential melanoma

Treatment:

Other: Scanner of the whole body using the VECTRA 3D