Multi-omics Detection Techniques for Differentiating Benign and Malignant Pulmonary Nodules
About this study
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
- Condition
- Lung Cancer (Diagnosis), Pulmonary Nodule Persistent
- Tested
- PBMCS were isolated from the peripheral blood of hospitalized patients with pulmonary nodules and incubated with nanopar...
- Sponsor
- Zhao Jun
Who can join
- Age
- Not specified
- Sex
- All sexes
- Healthy volunteers
- Accepted
Inclusion 6
- Study condition: Lung Cancer (Diagnosis), Pulmonary Nodule Persistent
- 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 10
- 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
1 site, 1 recruiting
Soochow university
Suzhou, Jiangsu, China
Contact
-
Mi Liu
86-0512-67972216 mi.liu831116@icoud.com
-
Jun Zhao
86-0512-67972216 zhaojia0327@126.com
Potential match only. Final eligibility is determined by the study team.