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Interpretation of screening low-dose chest CT using artificial intelligence-based lung nodule detection assistance

Interpretation of low-dose chest CT for health screening using artificial intelligence-based lung nodule detection assistance: A prospective parallel randomized clinical trial

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
CRIS
Registry ID
KCT0010206
Enrollment
916
Registered
2025-02-18
Start date
2025-05-19
Completion date
Unknown
Last updated
2025-06-24

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

Conditions

None listed

Interventions

Medical Device : Intervention group: Low-dose chest CT would be read using AI-based lung nodule detection assistance software (AVIEW Lung Nodeule CAD, Coreline Software). Control group: Low-dose chest

Sponsors

Seoul National University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Individuals undergoing low-dose chest CT for health check-up at Seoul National University Hospital Health Promotion Center

Exclusion criteria

Exclusion criteria: 1. Individuals with expected limited evaluation of pulmonary nodules due to previous history of pulmonary infection, bronchiectasis, pneumocopniosis, or other diffuse lung diseases, or architectural distortion of lung due to surgical resection. 2. Individuals undergoing CT for evaluation of respiratory symptom

Design outcomes

Primary

MeasureTime frame
Time required for interpretation (seconds)

Secondary

MeasureTime frame
Frequency of detecting pulmonary nodules requiring follow-up;Number of detected pulmonary nodules requiring follow-up per examination;Frequency of recommendation for follow-up CT;Frequency of referral to pulmonology; Frequency of follow-up chest CT within 1 year from baseline CT;Frequency of undergoing lung nodule biopsy within 3 months from CT;Frequency of receiving diagnosis of lung cancer within 6 months from CT

Countries

Korea, Republic of

Contacts

Public ContactEui Jin Hwang

Seoul National University Hospital

ken921004@hotmail.com+82-2-2072-7184

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Jul 17, 2026