Multi-omics Detection Techniques for Differentiating Benign and Malignant Pulmonary Nodules

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

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

Conditions4

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