[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100556917":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":11,"centralContacts":11,"locations":28,"responsibleParty":50,"collaborators":54,"id":61,"slug":62,"hasResults":63,"nctId":64,"briefTitle":65,"officialTitle":65,"acronym":11,"eligibilityCriteria":66,"healthyVolunteers":63,"sex":67,"minAge":68,"maxAge":11,"enrollmentInfo":69,"targetDuration":11,"studyType":72,"phases":73,"briefSummary":75,"conditions":76,"keywords":11,"overallStatus":78,"whyStopped":11,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":88},{"fullName":5,"class":6},"IRCCS San Raffaele","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"LDCT scan and simultaneous [18F]FDG PET\u002FCT on new-generation long axial field of view scanner","EXPERIMENTAL",null,[13],"Procedure: LDCT scan and simultaneous [18F]FDG PET\u002FCT on new-generation long axial field of view scanner",{"label":15,"type":16,"description":11,"interventionNames":17},"low LDCT only","ACTIVE_COMPARATOR",[18],"Procedure: LDTC only",[20,24],{"type":21,"name":9,"description":22,"armGroupLabels":23,"otherNames":11},"PROCEDURE","18F\\]FDG will be injected intravenously, and PET\u002FCT images will be acquired after 60 minutes (± 10 minutes). PET\u002FCT images will be first analysed with the lung window to detect any findings suggestive of a lung tumour.\n\nWhole-body PET\u002FCT images will be then analysed to detect any incidental finding in the chest as well as other anatomical areas included in the field of view. PET\u002FCT images will be considered positive if there is at least one non-calcified lung nodule or any suspicious finding on CT scan characterised by focal \\[18F\\]FDG uptake deviating from physiological distribution or above physiological background activity.",[9],{"type":21,"name":25,"description":26,"armGroupLabels":27,"otherNames":11},"LDTC only","The LDCT scan will be performed in single deep inspiratory breath hold. No intravenous contrast will be administered.",[15],[29],{"facility":30,"status":11,"city":31,"state":11,"zip":11,"country":32,"countryCode":33,"cosmosGeoPoint":34,"geoPoint":39,"contacts":40},"Irccs San Raffaele","Milan","Italy","IT",{"type":35,"coordinates":36},"Point",[37,38],12.59836,42.78235,{"lat":38,"lon":37},[41,46],{"name":42,"role":43,"phone":44,"phoneExt":11,"email":45},"Arturo Chiti","CONTACT","0226432716","chiti.arturo@hsr.it",{"name":47,"role":43,"phone":48,"phoneExt":11,"email":49},"Rachele Di Donato","0226433639","didonato.rachele@hsr.it",{"type":51,"investigatorFullName":52,"investigatorTitle":53,"investigatorAffiliation":5,"oldNameTitle":11,"oldOrganization":11},"PRINCIPAL_INVESTIGATOR","Chiti Arturo","Principal Investigator",[55,57,59],{"name":56,"class":6},"Fondazione Policlinico Universitario Campus Bio-Medico",{"name":58,"class":6},"University of Calabria",{"name":60,"class":6},"University of Salerno","100556917","advancing-lung-cancer-screening-artificial-intelligence-multimodal-imaging-and-cutting-edge-technologies-for-early-detection-and-characterization-100556917",false,"NCT06531343","Advancing Lung Cancer Screening: Artificial Intelligence, Multimodal Imaging and Cutting-Edge Technologies for Early Detection and Characterization","Inclusion Criteria:\n\n* Age \\> 50 years\n* PLCOm2012 risk prediction \\> 4%\n* Be willing to adhere to the study intervention through \\[18F\\]FDG PET\u002FCT or LDCT imaging\n* Signed written informed consent form\n\nExclusion Criteria:\n\n* Blood glucose levels \\>200 mg\u002Fdl,\n* Ongoing pregnancy and breastfeeding\n* Unwillingness to participate,\n* Previous diagnosis of lung cancer,\n* Previous CT scan within the last 24 months\n* Concomitant severe clinical conditions and any condition that preclude the feasibility of the study","ALL","50 Years",{"count":70,"type":71},334,"ESTIMATED","INTERVENTIONAL",[74],"NA","Currently available screening programmes for lung cancer are limited by many challenges including low diagnostic accuracy, radiation exposure and high costs. New technologies in PET\u002FCT scanners can allow cheaper and more sensitive exams with low radiation exposure. AI can be used to denoise LDCT to enhance the accuracy of imaging tests and build riskassessment models. This project aims to develop a new approach exploiting both these revolutionary advancements to bridge the existing gap in lung cancer screening. Patients in a high-risk population will be enrolled into two different cohorts undergoing LDCT scan and simultaneous \\[18F\\]FDG PET\u002FCT on new-generation long axial field of view scanner (UO1) or screening with low LDCT only (UO2). AI will assist in image enhancement and interpretation and will develop a personalised risk-model guiding the following steps of clinical management, significantly improving early diagnosis of lung cancer, reducing mortality and healthcare costs.",[77],"Lung Cancer Screening","NOT_YET_RECRUITING","2024-10-18",{"date":81,"type":82},"2024-10-21","ACTUAL",{"date":84,"type":71},"2024-10-30",{"date":86,"type":71},"2026-08-30",{"name":5,"class":6},1]