[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100552774":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":28,"centralContacts":33,"locations":38,"responsibleParty":54,"collaborators":57,"id":61,"slug":62,"hasResults":63,"nctId":64,"briefTitle":65,"officialTitle":66,"acronym":10,"eligibilityCriteria":67,"healthyVolunteers":63,"sex":68,"minAge":69,"maxAge":70,"enrollmentInfo":71,"targetDuration":10,"studyType":74,"phases":10,"briefSummary":75,"conditions":76,"keywords":10,"overallStatus":40,"whyStopped":10,"lastUpdateSubmitDate":80,"lastUpdatePostDateStruct":81,"startDateStruct":84,"completionDateStruct":86,"leadSponsor":88,"locationsCount":89},{"fullName":5,"class":6},"The First Affiliated Hospital of Guangzhou Medical University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Single inspiratory phase cohort",null,"Patients in this cohort undergo single inspiratory phase CT and pulmonary function tests preoperatively.",[13],"Other: Single inspiratory phase computed tomography.",{"label":15,"type":10,"description":16,"interventionNames":17},"Respiratory dual-phase cohort","Patients in this cohort undergo respiratory dual-phase CT and pulmonary function tests preoperatively.",[18],"Other: Respiratory dual-phase computed tomography.",[20,24],{"type":6,"name":21,"description":22,"armGroupLabels":23,"otherNames":10},"Single inspiratory phase computed tomography.","Utilizing deep learning technology in conjunction with single inspiratory phase computed tomography images to accurately predict the pulmonary function indicators of preoperative thoracic surgery patients.",[9],{"type":6,"name":25,"description":26,"armGroupLabels":27,"otherNames":10},"Respiratory dual-phase computed tomography.","Utilizing deep learning technology in conjunction with respiratory dual-phase computed tomography images to accurately predict the pulmonary function indicators of preoperative thoracic surgery patients.",[15],[29],{"name":30,"affiliation":31,"role":32},"Jianxing He, MD","Department of Cardiothoracic Surgery, the First Affiliated Hospital of Guangzhou Medical College","PRINCIPAL_INVESTIGATOR",[34],{"name":30,"role":35,"phone":36,"phoneExt":10,"email":37},"CONTACT","86-20-83337792","drjianxing.he@gmail.com",[39],{"facility":31,"status":40,"city":41,"state":42,"zip":43,"country":44,"countryCode":45,"cosmosGeoPoint":46,"geoPoint":51,"contacts":52},"RECRUITING","Guangzhou","Guangdong","510120","China","CN",{"type":47,"coordinates":48},"Point",[49,50],113.25,23.11667,{"lat":50,"lon":49},[53],{"name":30,"role":35,"phone":36,"phoneExt":10,"email":37},{"type":32,"investigatorFullName":55,"investigatorTitle":56,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Jianxing He","Director",[58],{"name":59,"class":60},"GE Healthcare","INDUSTRY","100552774","deep-learning-for-preoperative-pulmonary-assessment-in-thoracic-ct-100552774",false,"NCT06477458","Deep Learning for Preoperative Pulmonary Assessment in Thoracic CT","Application of Deep Learning in CT Imaging of Elective Thoracic Surgery Patients: Assessing Preoperative Abnormal Pulmonary Function","Inclusion Criteria:\n\n* (1) Signing of the informed consent form;\n* (2) Male or female, aged 18-75 years;\n* (3) Undergoing elective thoracic surgery;\n* (4) Good preoperative pulmonary function cooperation and complete reporting;\n* (5) Preoperative chest single\u002Fdual phase CT scans without significant artefacts and with complete imaging;\n* (6) The interval between preoperative pulmonary function and single\u002Fdual phase CT scans does not exceed one month.\n\nExclusion Criteria:\n\n* (1) Poor preoperative pulmonary function cooperation or missing reports;\n* (2) Preoperative chest single\u002Fdual phase CT scans exhibit significant artefacts or image omission;\n* (3) The interval between preoperative pulmonary function and single\u002Fdual phase CT scans exceeds one month;\n* (4) Complication with severe respiratory disorders (such as lung transplantation, pneumothorax, giant bullae, etc.);\n* (5) Coexisting with other severe functional impairments;\n* (6) Patients with obstructive lesions such as airway or esophageal stenosis;\n* (7) Height beyond the predicted equation range (Female \\\u003C 1.45m; Male \\\u003C 1.55m);\n* (8) Medication use before pulmonary function testing that does not meet the cessation guidelines;\n* (9) Pulmonary function report quality graded D-F.","ALL","18 Years","75 Years",{"count":72,"type":73},2000,"ESTIMATED","OBSERVATIONAL","The trial was designed as a single-centre, non-interventional prospective observational study to utilize deep learning technology combined with computed tomography (CT) images to precisely predict the pulmonary function indicators of thoracic surgery preoperative patients.",[77,78,79],"Elective Thoracic Surgery","Pulmonary Function","Deep Learning","2024-06-26",{"date":82,"type":83},"2024-06-27","ACTUAL",{"date":85,"type":83},"2023-10-01",{"date":87,"type":73},"2024-12-30",{"name":5,"class":6},1]