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Study for the value of artificial Intelligence Analysis Model in Classification and pathological staging of lung ground-glass nodules

Study for the value of artificial Intelligence Analysis Model in Classification and pathological staging of lung ground-glass nodules

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800019792
Enrollment
Unknown
Registered
2018-11-29
Start date
2018-12-10
Completion date
Unknown
Last updated
2018-12-04

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

Conditions

Lung Ground-glass nodules

Interventions

Gold Standard:Computed tomography image, pathology
Index test:Artificial&#32
Intelligence&#32
Analysis&#32
Model

Sponsors

Shanghai Pulmonary Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Thin CT showed isolated ground-glass nodules and its diameter was less than 2 cm; 2. There was no treatment before CT examination; 3. Proved by pathology after surgery; 4. Having complete thin-layer DICOM format data and standard algorithm for image reconstruction.

Exclusion criteria

Exclusion criteria: (1) The thickness of CT images does not meet the requirements; (2) there were artifacts in CT images; (3) Lung nodules on CT images are too small to extract effective features.

Design outcomes

Primary

MeasureTime frame
Features of CT image;Features of radiomics;Features of deep learning;—

Countries

China

Contacts

Public ContactSun Xiwen

Shanghai Pulmonary Hospital

479082599@qq.com+86 13816593938

Outcome results

None listed

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