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Prediction of the nature of pulmonary ground glass nodules based on medical big data and artificial intelligence technology

Prediction of the nature of pulmonary ground glass nodules based on medical big data and artificial intelligence technology

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300072039
Enrollment
Unknown
Registered
2023-06-01
Start date
2023-06-01
Completion date
Unknown
Last updated
2023-06-12

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

Conditions

pulmonary ground glass nodules

Interventions

Gold Standard:Treatment response or pathological diagnosis of pulmonary ground glass nodules.
Index test:The clinical data and imaging data were collected, and the nature prediction model of pulmonary ground glass nodules was established by using new technologies such as radiomics and artifici

Sponsors

Chinese PLA General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1) Aged >= 18 and <= 80 years; 2) Clinical findings of ground glass nodules in the lung.

Exclusion criteria

Exclusion criteria: 1) Failure to confirm the nature of the pulmonary ground glass nodule by clinical treatment or pathological examination; 2) Failure to obtain chest CT image data; 3) All obtainable chest CT images with a slice thickness of = 1.5mm.

Design outcomes

Primary

MeasureTime frame
Area under curve of the predictive model for the nature of ground glass nodules;

Secondary

MeasureTime frame
Sensitivity of the predictive model for the nature of ground glass nodules;Specificity of the predictive model for the nature of ground glass nodules;Positive predictive value of the predictive model for the nature of ground glass nodules;Negative predictive value of the predictive model for the nature of ground glass nodules;

Countries

China

Contacts

Public ContactLiang'an Chen

Chinese PLA General Hospital

chenla301@263.net+86 136 0131 5946

Outcome results

None listed

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