[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100513313":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":15,"locations":22,"responsibleParty":38,"collaborators":40,"id":44,"slug":45,"hasResults":46,"nctId":47,"briefTitle":48,"officialTitle":49,"acronym":50,"eligibilityCriteria":51,"healthyVolunteers":46,"sex":52,"minAge":53,"maxAge":7,"enrollmentInfo":54,"targetDuration":7,"studyType":57,"phases":7,"briefSummary":58,"conditions":59,"keywords":61,"overallStatus":25,"whyStopped":7,"lastUpdateSubmitDate":67,"lastUpdatePostDateStruct":68,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":55},{"fullName":5,"class":6},"Centre Hospitalier Universitaire de Besancon","OTHER",null,[9],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":13},"DEVICE","treatment program","the study aims to set up an artificial intelligence diagnostic assistance program",[14],"diagnostic assistance program",[16,21],{"name":17,"role":18,"phone":19,"phoneExt":7,"email":20},"Laurent COMAS","CONTACT","0381218477","lcomas@chu-besancon.fr",{"name":17,"role":18,"phone":7,"phoneExt":7,"email":20},[23],{"facility":24,"status":25,"city":26,"state":7,"zip":27,"country":28,"countryCode":29,"cosmosGeoPoint":30,"geoPoint":35,"contacts":36},"CHU Besancon","RECRUITING","Besançon","25030","France","FR",{"type":31,"coordinates":32},"Point",[33,34],6.01815,47.24878,{"lat":34,"lon":33},[37],{"name":17,"role":18,"phone":19,"phoneExt":7,"email":20},{"type":39,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[41],{"name":42,"class":43},"Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies, UMR 6174","UNKNOWN","100513313","nuclear-medicine-diagnostic-and-artificial-intelligence-100513313",false,"NCT05963841","NUclear MEdicine DIagnostic and Artificial Intelligence","Contribution to Disease Diagnosis and Prognosis Based on the Fusion of Expert Knowledge, Nuclear Medicine Imaging and Artificial Intelligence (AI) Tools","NUMEDIA","Inclusion Criteria:\n\n* Men and women over 18 years of age who underwent dual-isotope parathyroid scintigraphy.\n* No refusal to use data for research purposes\n* Retrospective data (after 13\u002F04\u002F2022: Date of posting of patient information in the department) and prospective data\n\nExclusion Criteria:\n\n* Patient refusal to use data for research purposes\n* Patients who did not benefit from the standard acquisition protocol (123I injection followed by 99mTc 3 hours after LEHR, PINHOLE and SPECT\u002FCT acquisitions)","ALL","18 Years",{"count":55,"type":56},1,"ESTIMATED","OBSERVATIONAL","Artificial intelligence algorithms for parathyroid adenoma detection in parathyroid scans The aim of the study is to develop programs for the automatic subtraction of planar and tomographic parathyroid images and for the localization of parathyroid adenomas using artificial intelligence tools.\n\nInclusion criteria Patients having undergone a double isotope parathyroid diagnostic examination using the standard Besançon University Hospital protocol (double injection of 123I and 99mTc, pinhole image, low energy high resolution (LEHR) and (single-photon emission tomography \u002F Computed tomography) SPECT\u002FCT +\u002F- (positron emission tomography (PET) Choline).\n\nSecondary endpoints Concordance between diagnoses made by nuclear physicians using both methods (current method and new treatment method).",[60],"Hyperparathyroidism",[62,63,64,65,66],"scintigraphy","parathyroid","SPECT\u002FCT","Intelligence artificial","dual isotope","2024-02-06",{"date":69,"type":70},"2024-02-07","ACTUAL",{"date":72,"type":70},"2023-08-01",{"date":74,"type":56},"2027-08",{"name":5,"class":6}]