About this trial
To investigate the diagnostic efficacy of Femtosecond Laser Label-Free Imaging combined with artificial intelligence-assisted diagnosis for rapid diagnosis of lung cancer.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Pulmonary nodules detected by clinical imaging with an indication for surgical resection.
Patient agrees to and is planned for pulmonary (partial) resection.
Resected specimens are suitable for FLI imaging.
Written informed consent obtained from the patient or legal representative.
Disqualifiers
Insufficient sample.
Specimen with crushing, contamination, or improper preservation, precluding valid imaging as judged by the investigator.
Inability to obtain matched pathology results corresponding to FLI images.
Inability to obtain final pathological diagnosis.
Trial population
Patients undergoing pulmonary resection, with specimens suitable for FLI diagnosis.
Trial design
Cohort
Prospective
Treatments tested in this trial
Femtosecond Laser Label-Free Imaging Combined with Artificial Intelligence
Diagnostic testFemtosecond 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.
Treatment groups
Trial outcomes
Primary outcomes
The accuracy of FLI combined with AI-assisted diagnosis in differentiating benign from malignant lung surgical specimens.
Locations
Sponsors and contacts
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This trial is not recruiting at the moment. You can still explore other options: