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Early Prediction of Drug-Resistant Pulmonary Tuberculosis Based on CT

Early Prediction of Drug-Resistant Pulmonary Tuberculosis Based on Serial CT Using Federated Learning and Artificial Intelligent Techniques

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400083412
Enrollment
Unknown
Registered
2024-04-24
Start date
2023-06-01
Completion date
Unknown
Last updated
2024-04-29

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

Conditions

Drug-Resistant Pulmonary Tuberculosis

Interventions

Gold Standard:Mycobacterium tuberculosis culture drug sensitivity test
Index test:AI system for automated detection

Sponsors

The First People's Hospital of Kashi Prefecture
Lead Sponsor

Eligibility

Sex/Gender
All
Age
2 Years to 99 Years

Inclusion criteria

Inclusion criteria: ? Patients with active tuberculosis with clinical diagnosis; ? Active tuberculosis was confirmed by two radiologists; ? Patients with drug susceptibility testing; ? At least one chest CT examination; ? Age = 18 years.

Exclusion criteria

Exclusion criteria: ? Clinical and imaging examinations have confirmed no activity of tuberculosis; ? Those who do not conduct drug susceptibility testing; ? No CT scan; ? Inadequate information.

Design outcomes

Primary

MeasureTime frame
Accuracy;AUC;—

Secondary

MeasureTime frame
Sensitivity;Specificity;F1-score;Recall;—

Countries

China

Contacts

Public ContactMayidili Nijiati

The First People’s Hospital of Kashgar Prefecture, 66 Yingbin Avenue, Kashi, Xinjiang

1376906729@qq.com+86 135 6566 2557

Outcome results

None listed

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