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Health Board","RECRUITING","Bangor","United Kingdom","UK",{"type":16,"coordinates":17},"Point",[18,19],-5.66802,54.66079,{"lat":19,"lon":18},[22],{"name":23,"role":24,"phone":25,"phoneExt":7,"email":26},"Daniel Menzies","CONTACT","03000 856766","BCU.research&development@wales.nhs.uk",{"facility":28,"status":11,"city":29,"state":7,"zip":7,"country":13,"countryCode":14,"cosmosGeoPoint":30,"geoPoint":34,"contacts":35},"Frimley Health NHS Foundation Trust (Wexham Park Hospital)","Frimley",{"type":16,"coordinates":31},[32,33],-0.74544,51.31667,{"lat":33,"lon":32},[36],{"name":37,"role":24,"phone":38,"phoneExt":7,"email":39},"Hussein Chreif","0300 615 4191","fhft.research-innovation@nhs.net",{"facility":41,"status":11,"city":42,"state":7,"zip":7,"country":13,"countryCode":14,"cosmosGeoPoint":43,"geoPoint":47,"contacts":48},"Leeds Teaching Hospitals NHS 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2603","Lydia.Taylor@rmh.nhs.uk",{"facility":104,"status":11,"city":58,"state":7,"zip":7,"country":13,"countryCode":14,"cosmosGeoPoint":105,"geoPoint":107,"contacts":108},"University College London Hospitals NHS Foundation Trust",{"type":16,"coordinates":106},[61,62],{"lat":62,"lon":61},[109],{"name":110,"role":24,"phone":111,"phoneExt":7,"email":112},"Ricky Thakrar","020 3447 9825","Uclh.randd@nhs.net",{"facility":5,"status":11,"city":114,"state":7,"zip":7,"country":13,"countryCode":14,"cosmosGeoPoint":115,"geoPoint":119,"contacts":120},"Nottingham",{"type":16,"coordinates":116},[117,118],-1.15047,52.9536,{"lat":118,"lon":117},[121],{"name":122,"role":24,"phone":123,"phoneExt":124,"email":125},"David Baldwin","0115 924 9924","80677","ResearchSponsor@nuh.nhs.uk",{"facility":127,"status":11,"city":128,"state":7,"zip":7,"country":13,"countryCode":14,"cosmosGeoPoint":129,"geoPoint":133,"contacts":134},"Oxford University Hospitals NHS Foundation Trust","Oxford",{"type":16,"coordinates":130},[131,132],-1.25596,51.75222,{"lat":132,"lon":131},[135],{"name":136,"role":24,"phone":137,"phoneExt":7,"email":138},"Fergus Gleeson","01865 226116","CHRadiologyRd@ouh.nhs.uk",{"type":140,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[142],{"name":143,"class":144},"Optellum Ltd.","UNKNOWN","100469205","dolce-determining-the-impact-of-optellums-lung-cancer-prediction-solution-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":156,"type":157},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.",[161,162,163,164],"AI (Artificial Intelligence)","Pulmonary Nodule, Solitary","Pulmonary Nodule, Multiple","Lung Cancer","2025-04-04",{"date":167,"type":168},"2025-04-08","ACTUAL",{"date":170,"type":168},"2023-03-23",{"date":172,"type":157},"2025-08",{"name":5,"class":6},10]