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Precision diagnosis and individual prediction of early lung cancer based on multidimensional omics

Precision diagnosis and individual prediction of early lung cancer based on multidimensional omics

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100055073
Enrollment
Unknown
Registered
2021-12-31
Start date
2022-01-01
Completion date
Unknown
Last updated
2023-01-09

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

Conditions

Lung cancer

Interventions

Sponsors

Sichuan Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Low-dose CT lung cancer screening patients with pulmonary nodules; 2. After surgical treatment, there are preoperative test indicators and postoperative histopathological results (including genetic test results).

Exclusion criteria

Exclusion criteria: 1. A history of cancer in the past 5 years (except non-melanoma skin cancer, cervical carcinoma in situ, and localized prostate cancer); 2. Inability to tolerate possible lung cancer resection; 3. Suffering from a serious life-threatening disease.

Design outcomes

Primary

MeasureTime frame
Histopathological diagnosis of pulmonary nodule;Images of low-dose CT;Laboratory test indexes;Genetic testing indexes;Accuracy, sensitivity, specificity;

Countries

China

Contacts

Public ContactZhou Peng

Sichuan Cancer Hospital

penghyzhou@126.com+86 13880227322

Outcome results

None listed

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