[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"naevi\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:naevi":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,45],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":31,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":33,"lastUpdatePostDateStruct":34,"startDateStruct":37,"completionDateStruct":39,"leadSponsor":41,"locationsCount":44},"100579786","congenital-naevus-cohort-for-longitudinal-evaluation-100579786",false,"NCT06828822","CongenItal Naevus Cohort for Longitudinal Evaluation","CIRCLE : CongenItal Naevus Cohort for Longitudinal Evaluation","CIRCLE","Inclusion Criteria:\n\n* Patient under 2 years old.\n* Patient with a medium, large, or giant congenital nevus (CN) according to the Krengel classification, either single or multiple.\n* Patient affiliated with social security.\n* Patient whose legal representatives consent to their child's participation in the project.\n\nExclusion Criteria:\n\n* Patient with light brown spots or pigmented lesions not classified as nevi.\n* Patient for whom It is impossible to establish annual follow-up.\n* Patient whose parents do not speak French.","ALL","0 Years","24 Months",{"count":21,"type":22},819,"ESTIMATED","INTERVENTIONAL",[25],"NA","Congenital Nevus (CN) is a pigmented skin lesion present at birth, which grows in size as the child grows. It can vary in appearance and is classified by its size, from small (less than 1.5 cm) to giant (greater than 40 cm). CN is associated with genetic mutations, mainly in the NRAS\u002FBRAF genes.\n\nA large CN can lead to several clinical issues, including:\n\nRisk of neurological disorders: Large CN can be associated with neurological abnormalities such as neuro-meningeal melanosis, hydrocephalus, or brain malformations. These conditions may cause early neuro-developmental delays. The risk is not well understood and requires further studies.\n\nRisk of melanoma: The risk of developing melanoma is higher for a large CN but remains low for smaller ones. Increased monitoring is necessary during the early years for large and giant CN.\n\nPsycho-social impact: Parents often experience significant anxiety at birth due to the cancer risk and social stigma. As the child grows, a visible CN may impact their quality of life, particularly socially at school.\n\nManagement of CN remains controversial, especially for those of medium to giant size or with multiple satellites. There is an urgent need for further research to clarify best practices in monitoring and treatment, including the need for routine brain imaging and criteria for surgical intervention.\n\nUltimately, this study aims to deepen our understanding of CN, its associated neurological and melanoma risks, and the psycho-social challenges it poses, while striving to establish clear, evidence-based guidelines for monitoring and treatment to enhance patient outcomes and quality of life.",[28,29,30],"Naevi","Neurodevelopmental Disorder","Congenital Nevus",[30,29],"RECRUITING","2026-03-05",{"date":35,"type":36},"2026-03-09","ACTUAL",{"date":38,"type":36},"2025-07-23",{"date":40,"type":22},"2031-07-23",{"name":42,"class":43},"Nantes University Hospital","OTHER",16,{"id":46,"slug":47,"hasResults":11,"nctId":48,"briefTitle":49,"officialTitle":50,"acronym":51,"eligibilityCriteria":52,"healthyVolunteers":53,"sex":17,"minAge":54,"maxAge":4,"enrollmentInfo":55,"targetDuration":4,"studyType":23,"phases":57,"briefSummary":58,"conditions":59,"keywords":4,"overallStatus":60,"whyStopped":4,"lastUpdateSubmitDate":61,"lastUpdatePostDateStruct":62,"startDateStruct":64,"completionDateStruct":66,"leadSponsor":68,"locationsCount":70},"100592904","development-of-an-aid-to-melanoma-detection-using-artificial-intelligence-algorithms-based-on-images-from-the-vectra-3d-system-100592904","NCT06999499","Development of an Aid to Melanoma Detection Using Artificial Intelligence Algorithms Based on Images From the VECTRA 3D System.","Development of Artificial Intelligence Algorithms to Help Detect Potential Melanomas, Using Images From the VECTRA 3D Whole Body 360 Imaging System, a 3D Whole-body Skin Scanner.","SELF DETECT","Inclusion Criteria:\n\n* Male or female aged 18 and over\n* Patient with more than 15 nevi (moles) of various phototypes (I to III)\n* Patient who has received information about the study and has not expressed any opposition\n* Patient who is a beneficiary or entitled person under a social security scheme\n\nExclusion Criteria:\n\n* Patients with phototype V\n* Patients with chronic inflammatory skin diseases\n* Claustrophobic patients\n* Patients who are bedridden or handicapped\n* Patients who are excluded from another research protocol at the time of collection of the non-objection.\n* 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),\n* Any other reason which, in the investigator's opinion, could interfere with the evaluation of the research objectives.",true,"18 Years",{"count":56,"type":22},1000,[25],"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.",[28],"NOT_YET_RECRUITING","2025-11-17",{"date":63,"type":36},"2025-11-18",{"date":65,"type":22},"2026-03-01",{"date":67,"type":22},"2028-06-01",{"name":69,"class":43},"Assistance Publique Hopitaux De Marseille",1]