[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100469205":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":7,"locations":8,"responsibleParty":138,"collaborators":140,"id":144,"slug":7,"hasResults":145,"nctId":146,"briefTitle":147,"officialTitle":148,"acronym":149,"eligibilityCriteria":150,"healthyVolunteers":145,"sex":151,"minAge":152,"maxAge":7,"enrollmentInfo":153,"targetDuration":7,"studyType":156,"phases":7,"briefSummary":157,"conditions":158,"keywords":7,"overallStatus":11,"whyStopped":7,"lastUpdateSubmitDate":163,"lastUpdatePostDateStruct":164,"startDateStruct":167,"completionDateStruct":169,"leadSponsor":171,"locationsCount":172},{"fullName":5,"class":6},"Nottingham University Hospitals NHS Trust","OTHER",null,[9,26,39,55,68,78,88,102,112,125],{"facility":10,"status":11,"city":12,"state":7,"zip":7,"country":13,"cosmosGeoPoint":14,"geoPoint":19,"contacts":20},"Betsi Cadwaladr University Health Board","RECRUITING","Bangor","United Kingdom",{"type":15,"coordinates":16},"Point",[17,18],-5.66802,54.66079,{"lat":18,"lon":17},[21],{"name":22,"role":23,"phone":24,"phoneExt":7,"email":25},"Daniel Menzies","CONTACT","03000 856766","BCU.research&development@wales.nhs.uk",{"facility":27,"status":11,"city":28,"state":7,"zip":7,"country":13,"cosmosGeoPoint":29,"geoPoint":33,"contacts":34},"Frimley Health NHS Foundation Trust (Wexham Park Hospital)","Frimley",{"type":15,"coordinates":30},[31,32],-0.74544,51.31667,{"lat":32,"lon":31},[35],{"name":36,"role":23,"phone":37,"phoneExt":7,"email":38},"Hussein Chreif","0300 615 4191","fhft.research-innovation@nhs.net",{"facility":40,"status":11,"city":41,"state":7,"zip":7,"country":13,"cosmosGeoPoint":42,"geoPoint":46,"contacts":47},"Leeds Teaching Hospitals NHS Trust","Leeds",{"type":15,"coordinates":43},[44,45],-1.54785,53.79648,{"lat":45,"lon":44},[48,52],{"name":49,"role":23,"phone":50,"phoneExt":7,"email":51},"Research & Innovation 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9825","Uclh.randd@nhs.net",{"facility":5,"status":11,"city":113,"state":7,"zip":7,"country":13,"cosmosGeoPoint":114,"geoPoint":118,"contacts":119},"Nottingham",{"type":15,"coordinates":115},[116,117],-1.15047,52.9536,{"lat":117,"lon":116},[120],{"name":121,"role":23,"phone":122,"phoneExt":123,"email":124},"David Baldwin","0115 924 9924","80677","ResearchSponsor@nuh.nhs.uk",{"facility":126,"status":11,"city":127,"state":7,"zip":7,"country":13,"cosmosGeoPoint":128,"geoPoint":132,"contacts":133},"Oxford University Hospitals NHS Foundation Trust","Oxford",{"type":15,"coordinates":129},[130,131],-1.25596,51.75222,{"lat":131,"lon":130},[134],{"name":135,"role":23,"phone":136,"phoneExt":7,"email":137},"Fergus Gleeson","01865 226116","CHRadiologyRd@ouh.nhs.uk",{"type":139,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[141],{"name":142,"class":143},"Optellum Ltd.","UNKNOWN","100469205",false,"NCT05389774","DOLCE: Determining the Impact of Optellum's Lung Cancer Prediction Solution","DOLCE: Determining the Impact of Optellum's Lung Cancer Prediction (LCP) Artificial Intelligence Solution on Service Utilisation, Health Economics and Patient Outcomes","DOLCE","Inclusion Criteria:\n\nPatients are eligible for the study if all of the following apply:\n\n* Are aged 35 years or above\n* Have baseline CT study with at least one incidentally detected solid or part-solid (must have a solid component \\>=80%) pulmonary nodule that:\n\n  * is not fully calcified\n  * Is 5-30mm inclusive in maximum axial diameter for the whole lesion measured using manual electronic callipers\n* Have baseline CT study that includes at least one series that meets all of the following (training for this will be provided):\n\n  * Is of a type that meets VNC instructions for use\n  * Comprises at least one full-inspiration breath-hold scans without a high degree of contrast media and does not exhibit quality issues (e.g., motion artefacts)\n\nExclusion Criteria:\n\nPatients will be excluded from the study if any of the following apply:\n\n* Have received a diagnosis for cancer in the last 5 years\n* Have thoracic implants that impact the image appearance of the nodule\n* Have more than five reported pulmonary nodules of any size or type excluding fully calcified nodules (this criterion is used as a proxy due to the risk of being an infection or metastasis)\n* Have one or more additional nodules where any of the following applies:\n\n  * Are already undergoing follow-up according to pulmonary nodule management standard care\n  * Pure ground glass opacity (GGO) of \\>=5mm in maximum axial diameter for the whole lesion measured using manual electronic callipers\n  * \\>30mm in maximum axial diameter for the whole lesion measured using manual electronic callipers","ALL","35 Years",{"count":154,"type":155},2000,"ESTIMATED","OBSERVATIONAL","This study is a multi-centre prospective observational cohort study recruiting patients with 5-30mm solid and part-solid pulmonary nodules that have been detected on CT chest scans performed as part of routine practice. The aim is to determine whether physician decision making with the AI-based LCP tool, generates clinical and health-economic benefits over the current standard of care of these patients.",[159,160,161,162],"AI (Artificial Intelligence)","Pulmonary Nodule, Solitary","Pulmonary Nodule, Multiple","Lung Cancer","2025-04-04",{"date":165,"type":166},"2025-04-08","ACTUAL",{"date":168,"type":166},"2023-03-23",{"date":170,"type":155},"2025-08",{"name":5,"class":6},10]