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Stability and effectiveness of chest CT analysing software using artificial intelligence

Stability and effectiveness of chest CT analysing software using artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CRIS
Registry ID
KCT0005459
Enrollment
200
Registered
2020-10-08
Start date
2020-09-30
Completion date
Unknown
Last updated
2020-11-03

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

Conditions

None listed

Interventions

Others : -Patients with confirmed COPD -Patients with suspected lung cancer and early COPD with a history of smoking

Sponsors

Asan Medical Center
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: -Patients with confirmed COPD -Patients with suspected lung cancer and early COPD with a history of smoking

Exclusion criteria

Exclusion criteria: 1) Patients with lung disease with pneumonia, tuberculosis, pneumothorax and pleural effusion 2) Thoracic CT images that cannot be performed with sufficient inhalation or have movement during shooting 3) Patients undergoing lung surgery 4) Video with sequelae of past inflammation involving more than one lung lobe 5) Images with artifacts due to patient movement and inserted medical devices 6) Image with contrast enhancement 7) Images not taken with thin-section (images with slice thickness exceeding 3mm) 8) Image of a minor patient under the age of 19

Design outcomes

Primary

MeasureTime frame
? Among the subjects classified by the retrospective data, Percentile rank analysis, 200 COPD patients, early COPD suspected patients, and lung cancer suspected patients were selected, and the smoking cessation rate with 200 who showed indicators using software to prospectively recruited subjects is an independent sample t Test the difference between two groups with -test

Secondary

MeasureTime frame
? Through follow-up observation, 200 prospectively recruited people were classified into two groups: aggravated group and stable group using clinical indicators such as acute exacerbation and dyspnea, and CT indicators obtained with software from each group were divided into independent sample t-tests. Test for differences between groups

Countries

Korea, Republic of

Contacts

Public ContactSang lLee

Asan Medical Center

Outcome results

None listed

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