Actively Recruiting
Multi-omics Detection Techniques for Differentiating Benign and Malignant Pulmonary Nodules
Led by Zhao Jun · Updated on 2025-07-02
150
Participants Needed
1
Research Sites
52 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
CONDITIONS
Official Title
Multi-omics Detection Techniques for Differentiating Benign and Malignant Pulmonary Nodules
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 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 will not qualify if you...
- 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 psychiatric disorders or severe mental illnesses
- Patients who have difficulty communicating or are unable to be followed up for a long time
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Soochow university
Suzhou, Jiangsu, China, 215000
Actively Recruiting
Research Team
M
Mi Liu
CONTACT
J
Jun Zhao
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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