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The combination of Artificial Intelligence and serum methylation test in the growth prediction of lung subsolid nodules

The combination of Artificial Intelligence and serum methylation test in the growth prediction of lung subsolid nodules

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400085290
Enrollment
Unknown
Registered
2024-06-04
Start date
2024-06-05
Completion date
Unknown
Last updated
2024-07-08

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

Conditions

lung cancer

Interventions

Group 1: grew in 3 years:None
Group 2: did not grow in 3 years:None

Sponsors

Zhongshan hospital, Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: ? Patients with persistent (>3 months) solid nodules are clinically highly suspected of precancerous lesions or early lung adenocarcinoma ? Pure glass nodules (pGGN) 6-30mm or mixed glass nodules (mGGN) with 18 years old

Exclusion criteria

Exclusion criteria: ? A history of malignant tumor within 5 years

Design outcomes

Primary

MeasureTime frame
Meet the growth criteria of lung nodule;

Countries

China

Contacts

Public ContactYong Zhang

Zhongshan hospital, Fudan University

zhangyong983016@hotmail.com+86 150 0022 9853

Outcome results

None listed

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