Diagnosis of lung nodule and lung cancer on screening chest radiographs: Comparative clinical trial for evaluation of artificial intelligence-integrated PACS versus conventional PACS

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0005051

Enrollment

84000

Registered

2020-05-22

Start date

2020-06-15

Completion date

Unknown

Last updated

2020-12-02

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 : In case group, chest radiograph interpretation will be performed using a deep learning-based computer-aided detection software (Software name: Lunit INSIGHT CXR MCA, Manufacturer: Lun

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: All adult individuals who performed chest radiograph in Seoul National University Healthcare Screening Center

Exclusion criteria

Exclusion criteria: Individuals who had respiratory symptoms when taking chest radiograph

Design outcomes

Primary

Measure	Time frame
Lung nodule detection rate	—

Secondary

Measure	Time frame
Positive rate;Sensitivity;Specificity;Positive predictive value;Negative predictive value;Lung cancer detection rate;Detection rate of other lung disease;False referral rate;Revisit rate within three months;CT referral rate	—

Countries

Korea, Republic of

Contacts

Public ContactJu Nam

Seoul National University Hospital

Outcome results