Multi-omics Detection Techniques for Differentiating Benign and Malignant Pulmonary Nodules
Trial Parameters
Brief Summary
Research objective: To explore the clinical application effect of multi-omics detection based on flow cytometry analysis, single-cell data and images combined with clinical features in differentiating the benign and malignant nature of pulmonary nodules and the early diagnosis of lung cancer
Eligibility Criteria
Inclusion Criteria: * Patient underwent a ct examination * Patient was confirmed to have pulmonary nodules * Patient has been determined to undergo surgical treatment * There are clear pathological results * The clinicopathological data are complete Exclusion Criteria: * Patient has no ct examination results * Refuse surgical treatment * Patient has no clear pathological diagnosis * Patients with hematogenic infectious diseases, such as HIV, hepatitis B or hepatitis C. * Patients with tumor emergencies that require immediate treatment. * Poor vascular conditions. * Abnormal coagulation function or receiving anticoagulant or thrombolytic therapy. * Patients with hematogenic infectious diseases, such as HBV. * Patients with psychiatric disorders or severe mental illnesses. * Patients who have difficulty communicating or are unable to be followed up for a long time