[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100654003":3},{"organization":4,"outcomesModule":7,"designInfo":13,"detailedDescription":16,"studyPopulation":17,"armGroups":11,"interventions":18,"overallOfficials":11,"centralContacts":11,"locations":11,"responsibleParty":23,"collaborators":11,"id":25,"slug":26,"hasResults":27,"nctId":28,"briefTitle":29,"officialTitle":29,"acronym":11,"eligibilityCriteria":30,"healthyVolunteers":27,"sex":31,"minAge":11,"maxAge":11,"enrollmentInfo":32,"targetDuration":11,"studyType":35,"phases":11,"briefSummary":16,"conditions":36,"keywords":38,"overallStatus":41,"whyStopped":11,"lastUpdateSubmitDate":42,"lastUpdatePostDateStruct":43,"startDateStruct":46,"completionDateStruct":48,"leadSponsor":50,"locationsCount":11},{"fullName":5,"class":6},"Shanghai Zhongshan Hospital","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":11,"otherOutcomes":11},[9],{"measure":10,"description":11,"timeFrame":12},"The accuracy of FLI combined with AI-assisted diagnosis in differentiating benign from malignant lung surgical specimens.",null,"through study completion, an average of 2 year",{"allocation":11,"interventionModel":11,"interventionModelDescription":11,"primaryPurpose":11,"observationalModel":14,"timePerspective":15,"maskingInfo":11},"COHORT","PROSPECTIVE","To investigate the diagnostic efficacy of Femtosecond Laser Label-Free Imaging combined with artificial intelligence-assisted diagnosis for rapid diagnosis of lung cancer.","Patients undergoing pulmonary resection, with specimens suitable for FLI diagnosis.",[19],{"type":20,"name":21,"description":22,"armGroupLabels":11,"otherNames":11},"DIAGNOSTIC_TEST","Femtosecond Laser Label-Free Imaging Combined with Artificial Intelligence","Femtosecond Laser Label-Free Imaging Combined with Artificial Intelligence. The diagnostic results will be blinded to both the physicians (including all clinicians involved in the patient's diagnostic and treatment process, such as surgeons and pathologists) and the patient, and the diagnostic results will NOT affect the original treatment plan.",{"type":24,"investigatorFullName":11,"investigatorTitle":11,"investigatorAffiliation":11,"oldNameTitle":11,"oldOrganization":11},"SPONSOR","100654003","a-multicenter-prospective-study-on-the-diagnostic-efficacy-of-femtosecond-laser-label-free-imaging-combined-with-artificial-intelligence-assisted-diagnosis-for-rapid-diagnosis-of-lung-cancer-surgical-specimens-100654003",false,"NCT07794449","A Multicenter, Prospective Study on the Diagnostic Efficacy of Femtosecond Laser Label-Free Imaging Combined With Artificial Intelligence-Assisted Diagnosis for Rapid Diagnosis of Lung Cancer Surgical Specimens","Inclusion Criteria:\n\n1. Pulmonary nodules detected by clinical imaging with an indication for surgical resection.\n2. Patient agrees to and is planned for pulmonary (partial) resection.\n3. Resected specimens are suitable for FLI imaging.\n4. Written informed consent obtained from the patient or legal representative.\n5. Patients undergoing pulmonary (partial) resection during this study.\n\nExclusion Criteria:\n\n1. Insufficient sample.\n2. Specimen with crushing, contamination, or improper preservation, precluding valid imaging as judged by the investigator.\n3. Inability to obtain matched pathology results corresponding to FLI images.\n4. Inability to obtain final pathological diagnosis.\n5. Other conditions deemed by the investigator as unsuitable for study participation.","ALL",{"count":33,"type":34},335,"ESTIMATED","OBSERVATIONAL",[37],"Lung Cancer (Diagnosis)",[39,40],"Lung Cancer","FLI","NOT_YET_RECRUITING","2026-08-28",{"date":44,"type":45},"2026-08-31","ACTUAL",{"date":47,"type":34},"2026-09-01",{"date":49,"type":34},"2028-08-31",{"name":5,"class":6}]