[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100599985":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":15,"locations":25,"responsibleParty":40,"collaborators":10,"id":44,"slug":45,"hasResults":46,"nctId":47,"briefTitle":48,"officialTitle":49,"acronym":50,"eligibilityCriteria":51,"healthyVolunteers":52,"sex":53,"minAge":54,"maxAge":10,"enrollmentInfo":55,"targetDuration":10,"studyType":58,"phases":10,"briefSummary":59,"conditions":60,"keywords":63,"overallStatus":27,"whyStopped":10,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":88},{"fullName":5,"class":6},"Leiden University Medical Center","OTHER",[8,12],{"label":9,"type":10,"description":11,"interventionNames":10},"Healthy volunteers",null,"Healthy volunteers with diverse skin tones",{"label":13,"type":10,"description":14,"interventionNames":10},"Patients","Any patient with a skin condition under treatment by a dermatologist with active lesions.",[16,21],{"name":17,"role":18,"phone":19,"phoneExt":10,"email":20},"Deepak M.W. Balak","CONTACT","+31715296273","d.m.w.balak@lumc.nl",{"name":22,"role":18,"phone":23,"phoneExt":10,"email":24},"Lotte J. van den Oord","+31611164067","l.j.van_den_oord@lumc.nl",[26],{"facility":5,"status":27,"city":28,"state":28,"zip":29,"country":30,"countryCode":31,"cosmosGeoPoint":32,"geoPoint":37,"contacts":38},"RECRUITING","Leiden","2333 ZG","Netherlands","NL",{"type":33,"coordinates":34},"Point",[35,36],4.49306,52.15833,{"lat":36,"lon":35},[39],{"name":17,"role":18,"phone":19,"phoneExt":10,"email":20},{"type":41,"investigatorFullName":42,"investigatorTitle":43,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","dmwbalak","Principal Investigator","100599985","an-observational-study-to-assess-objective-skin-pigmentation-variation-100599985",false,"NCT07091604","An Observational Study to Assess Objective Skin Pigmentation Variation.","Objective Skin Pigmentation Assessment in Healthy Volunteers and in Patients With Skin Disease: An Observational Study Using Non-invasive Skin Imaging","SKIN-IMAGING","Inclusion Criteria:-\n\n* Age ≥ 18 years\n* Ability to understand oral and written Dutch or English\n\nExclusion Criteria:\n\nFor study cohort #1 (Healthy volunteers):\n\n* Extensive tattoos covering \\>50% of the total body area\n* Recent extensive sun exposure (e.g. sun tanning booth or stay in a tropical country) in the last 3 weeks\n* Use of self-tanner products in the last 3 weeks\n\nFor study cohort #2 (Patients):\n\n* Extensive tattoos covering \\>50% of the total body area\n* Extensive skin lesions covering \\>50% of the total body area\n* Recent extensive sun exposure (e.g. sun tanning booth or stay in a tropical country) in the last 3 weeks\n* Use of self-tanner products in the last 3 weeks",true,"ALL","18 Years",{"count":56,"type":57},600,"ESTIMATED","OBSERVATIONAL","Accurate assessment of skin pigmentation is essential in dermatology for properly diagnosing and managing a wide range of skin conditions. Traditionally, skin colour has been evaluated through visual inspection or by using classifications like the Fitzpatrick skin type. However, these methods can be subjective, culturally biased, and often are centered around lighter skin tones, which may lead to misdiagnosis or inappropriate treatment for individuals with darker skin.\n\nWith advances in technology, non-invasive imaging tools such as colorimetry and multispectral imaging now offer more precise and objective ways to measure skin pigmentation. These methods can help provide consistent and unbiased information about skin tone, benefiting both clinical care and research. Despite these technological advances, there is currently no agreed-upon standard for how to measure skin pigmentation objectively in everyday clinical practice or research settings.\n\nThis study aims to explore better, more accurate ways to measure skin pigmentation using modern, non-invasive imaging technologies. Traditional methods for assessing skin colour, like visual inspection or classifying by ethnicity, are often unreliable and biased. In this study, researchers will use tools such as colorimetry and multispectral imaging to measure skin pigmentation more objectively.\n\nThe study includes two groups of participants: healthy adults and adults with skin conditions. Researchers will measure a value called the melanin index, which reflects the amount of pigment in the skin, and compare it across different areas of the body and among people with different skin tones and conditions.\n\nThe goal is to understand how skin pigmentation varies and to see if these new technologies can help doctors more accurately diagnose and manage skin diseases for people of all skin types.",[61,62],"Skin Diseases","Healthy Skin",[64,65,66,67,68,69,70,71,72,73,74,75,76,77,78],"Skin pigmentation","Melanin index","Colorimetry","Multispectral imaging","Line-Field Confocal Optical Coherence Tomography","Skin parameters","Skin colour","Skin color","Etnicity","TEWL","Erythema index","Non-invasieve measurement","Skin Disease","Skin of Colour","Laser speckle contrast imaging","2025-07-29",{"date":81,"type":82},"2025-08-01","ACTUAL",{"date":84,"type":57},"2025-07-22",{"date":86,"type":57},"2027-01-22",{"name":5,"class":6},1]