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Value study of machine / deep learning in the quantitative assessment of pneumothorax and pleural effusion

Value study of machine / deep learning in the quantitative assessment of pneumothorax and pleural effusion

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098330
Enrollment
Unknown
Registered
2025-03-06
Start date
2024-05-01
Completion date
Unknown
Last updated
2025-03-10

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

Conditions

Pneumothorax, liquid pneumothorax, Pleural effusion

Interventions

Training Set:no
Testing Set:no

Sponsors

The First Affiliated Hospital of Nanchang University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1) Adult patients; 2) Diagnostic as pneumothorax or simple pleural effusion or fluid pneumothoraxbased on imaging; 3) The image of chest CT is 5MM;

Exclusion criteria

Exclusion criteria: 1.various reasons which could not meet the diagnostic requirements, such as respiratory motion, metal implant artifacts, etc.

Design outcomes

Primary

MeasureTime frame
Dice coefficient;—

Secondary

MeasureTime frame
Accuracy;—

Countries

China

Contacts

Public ContactZhou Fuqing

The First Affiliated Hospital of Nanchang University

ndyfy02301@ncu.edu.cn+86 13694881033

Outcome results

None listed

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