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Differential Diagnosis of Benign and Malignant Lung Lesions via Applying Artificial Intelligence Analysis of Gene Information in Peripheral Blood

Differential Diagnosis of Benign and Malignant Lung Lesions via Applying Artificial Intelligence Analysis of Gene Information in Peripheral Blood

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900026445
Enrollment
Unknown
Registered
2019-10-10
Start date
2019-10-12
Completion date
Unknown
Last updated
2019-10-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

pulmonary malignancy

Interventions

Gold Standard:Pathological examination
Index test:Artificial&#32
Intelligence&#32
Analysis&#32
of&#32
Gene&#32
in&#32
Peripheral&#32
Blood

Sponsors

Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Aged between 18 and 80 years; 2. Suspected pulmonary malignancy patients or benign pulmonary disease patients; 3. Planned to receive surgical treatment; 4. Sufficient blood samples and tissue samples for analysis; 5. Signed informed consent, with good compliance.

Exclusion criteria

Exclusion criteria: 1. Recurrent pulmonary malignancy patients; 2. Lysis of blood sample; 3. Blood sample was not processed within 24 hours; 4. Pregnant or lactating patients; 5. Received any anti-tumor therapy before surgery; 6. Patients with prior cancer history.

Design outcomes

Primary

MeasureTime frame
Pathological diagnosis;Gene Information in Peripheral Blood;SEN, SPE, ACC, +LR, -LR, AUC of ROC;

Countries

China

Contacts

Public ContactGuangyuan Hu

Department of Oncology, Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology

huguangyuan2018@sohu.com+86 13886000095

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026