[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100621583":3},{"organization":4,"armGroups":7,"interventions":12,"overallOfficials":18,"centralContacts":23,"locations":29,"responsibleParty":46,"collaborators":17,"id":48,"slug":49,"hasResults":50,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":50,"sex":56,"minAge":57,"maxAge":58,"enrollmentInfo":59,"targetDuration":17,"studyType":62,"phases":63,"briefSummary":65,"conditions":66,"keywords":17,"overallStatus":32,"whyStopped":17,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":77},{"fullName":5,"class":6},"NHS Greater Glasgow and Clyde","OTHER",[8],{"label":9,"type":6,"description":9,"interventionNames":10},"All patients",[11],"Diagnostic Test: Low dose Chest CT",[13],{"type":14,"name":15,"description":15,"armGroupLabels":16,"otherNames":17},"DIAGNOSTIC_TEST","Low dose Chest CT",[9],null,[19],{"name":20,"affiliation":21,"role":22},"Chris Carlin","NHSGGC","PRINCIPAL_INVESTIGATOR",[24],{"name":25,"role":26,"phone":27,"phoneExt":17,"email":28},"Clare Dolan","CONTACT","0141 314 4328","clare.dolan3@nhs.scot",[30],{"facility":31,"status":32,"city":33,"state":17,"zip":17,"country":34,"countryCode":35,"cosmosGeoPoint":36,"geoPoint":41,"contacts":42},"Queen Elizabeth University Hospital","RECRUITING","Glasgow","United Kingdom","UK",{"type":37,"coordinates":38},"Point",[39,40],-4.25763,55.86515,{"lat":40,"lon":39},[43,44],{"name":25,"role":26,"phone":27,"phoneExt":17,"email":28},{"name":45,"role":22,"phone":17,"phoneExt":17,"email":17},"Geesh Jayasekera",{"type":47,"investigatorFullName":17,"investigatorTitle":17,"investigatorAffiliation":17,"oldNameTitle":17,"oldOrganization":17},"SPONSOR","100621583","glasgow-low-dose-ct-and-ai-based-diagnostics-to-case-find-lung-cancer-and-other-cardio-respiratory-long-term-conditions---feasibility-study-100621583",false,"NCT07372508","Glasgow Low-dose CT and AI-based Diagnostics to Case Find Lung Cancer and Other Cardio-respiratory Long-term Conditions - Feasibility Study","GALACTIC 1 - Glasgow Low-dose CT and AI-based Diagnostics to Case Find Lung Cancer and Other Cardio-respiratory Long-term Conditions - Feasibility Study","GALACTIC-1","Inclusion Criteria:\n\n* Resident in South Sector NHS GG\\&C.\n* Capacity to undertake informed consent.\n* No active cancer other than non-melanoma skin cancer, monitored localised prostate cancer or localised treated breast cancer.\n* Aged 55-74 at date of invitation.\n* Smoking history: current tobacco smoker or ex-smoker with \\>20 pack year history and \\\u003C15 years from quit date.\n\nExclusion Criteria:\n\n* CT thorax scan undertaken in prior 12 months.\n* Does not have capacity to give consent (standard criteria for assessing capacity apply).\n* Aged \\\u003C55 or \\>74 years of age at date of invitation\n* Weight exceeds restrictions for scanner (\\>200kg).\n* Unable to lie flat.\n* People who are pregnant.\n* Active symptoms of possible lung cancer","ALL","55 Years","74 Years",{"count":60,"type":61},500,"ESTIMATED","INTERVENTIONAL",[64],"NA","Lung cancer is one of the most common and serious cancers in Scotland and is often diagnosed at a late stage. Early detection is crucial to improving survival rates. The value of screening for lung cancer with low-dose CT (LDCT) scans has been established, and these scans can also identify other diagnoses earlier.\n\nAdditional tests undertaken alongside the CT scan may add value to the lung cancer screening program being rolled out. This study aims to explore the feasibility and utility of a lung cancer screening program with added heart and breathing tests within a single clinic visit.\n\nA Lung Health Check will be offered to people at higher risk of lung cancer, specifically those aged 55-74 with a history of cigarette smoking. This will include a quick and painless LDCT scan, which uses a small amount of radiation to create detailed images of the lungs to detect lung cancer at an early and more treatable stage.\n\nIn this \"GALACTIC-1\" study, the investigators will explore whether structured reporting of the CT scan, combined with additional tests (blood sample, ECG heart trace, and spirometry breathing test), can help identify conditions such as chronic obstructive pulmonary disease (COPD), lung scarring (pulmonary fibrosis), coronary artery disease, heart failure, and early signs of bone fractures (osteoporosis). This enhanced Lung Health Check may improve overall health by identifying and allowing early management of these conditions.\n\nThe investigators plan to use the data from the \"GALACTIC-1\" study to explore AI performance by comparing it to reporting done by doctors. The results will help shape future rollout of lung cancer screening across Scotland, ensuring it is effective, efficient, and beneficial.\n\nThe investigators will also have a focus group with patients and interviews with NHS staff to understand their opinions on the screening.",[67],"Cancer","2026-06-18",{"date":70,"type":71},"2026-06-23","ACTUAL",{"date":73,"type":71},"2026-05-26",{"date":75,"type":61},"2028-09-02",{"name":5,"class":6},1]