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

Recruiting now

Conditions studied: Lung Cancer (Diagnosis), Pulmonary Nodule Persistent

In brief

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

Key facts

Study ID

NCT07047573

Run by

Zhao Jun

People needed

150

Starts

2025-06-01

Expected to finish

2026-06-01

Last updated by the study team

2025-07-02

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 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

You may not qualify if…

• 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

Where it is running

• Soochow university — Suzhou, Jiangsu, China (enrolling)

Full record on ClinicalTrials.gov

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