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Evaluation of AI-assisted LDCT Screening in Lung Cancer

Evaluation of AI Medical Software-assisted LDCT Interpretation in Lung Cancer Screening and Prognosis: a Randomized Controlled Trial

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07280559
Enrollment
1120
Registered
2025-12-12
Start date
2025-12-11
Completion date
2031-12-31
Last updated
2025-12-12

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

Conditions

Lung Cancer

Brief summary

This multicenter pragmatic randomized controlled trial evaluates whether AI-assisted interpretation of low-dose CT (LDCT) improves lung cancer screening performance compared with standard reading. Eligible participants are randomized to AI-assisted or conventional interpretation. The study assesses diagnostic accuracy, efficiency, lung cancer incidence, mortality, recurrence, and smoking cessation outcomes. Results will inform the clinical utility and potential implementation of AI-assisted LDCT in routine screening practice.

Detailed description

Lung cancer is a leading cause of cancer-related mortality worldwide, and early detection is essential for improving survival. Low-dose computed tomography (LDCT) has been shown to reduce lung cancer mortality in high-risk populations, but image interpretation is time-consuming and may lead to overdiagnosis. Artificial intelligence (AI)-assisted diagnostic tools offer the potential to improve accuracy and efficiency in LDCT-based lung cancer screening, though challenges related to model adaptability, data heterogeneity, user trust, and regulatory compliance remain. This multicenter pragmatic randomized controlled trial evaluates the effectiveness of AI-assisted LDCT interpretation compared with standard interpretation. Eligible participants will be randomized to an AI-assisted arm or a standard-reading arm. Outcomes include diagnostic accuracy, efficiency, lung cancer incidence, lung cancer mortality, recurrence, and smoking cessation. The findings will provide evidence on the clinical utility of AI-assisted LDCT screening and support future implementation in routine practice and policy development.

Interventions

DIAGNOSTIC_TESTAI-assisted Low-Dose CT Interpretation

Participants undergo low-dose computed tomography (LDCT) lung cancer screening. The images are first interpreted by AI-assisted software, which highlights suspicious nodules. Radiologists then review the AI outputs and generate the final report.

Sponsors

Far Eastern Memorial Hospital
CollaboratorOTHER
Taipei Municipal Guandu Hospital
CollaboratorUNKNOWN
Da Chien General Hospital
CollaboratorOTHER
Kinmen Hospital, Ministry of Health and Welfare
CollaboratorUNKNOWN
Ministry of Health and Welfare, Taiwan
CollaboratorOTHER_GOV
Taipei Veterans General Hospital, Taiwan
Lead SponsorOTHER_GOV

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
40 Years to 74 Years
Healthy volunteers
Yes

Inclusion criteria

1. Family History of Lung Cancer: Males aged 45-74 or females aged 40-74 with first-degree relatives (parents, siblings, or children) diagnosed with lung cancer. 2. Heavy Smoking History: Ages 50-74 with ≥20 pack-years smoking history, currently smoking or quit \<15 years ago. 3. General Screening Participants: Adults aged 40 years or older attending routine health check-ups.

Exclusion criteria

1. Pregnant women. 2. Chest CT or other higher-radiation chest imaging within the past 12 months. 3. Individuals holding a major illness certificate for lung cancer. 4. Inability to undergo thoracic puncture or surgery. 5. Inability to hold breath or otherwise complete the scanning procedure. 6. Hemoptysis of unknown cause within the past month. 7. Chest X-ray within the past month showing suspicious lung lesions. 8. Unexplained weight loss \>6 kg within the past year. 9. History of lung cancer within the past three years. 10. Presence of other severe diseases with an expected life expectancy \<5 years.

Design outcomes

Primary

MeasureTime frameDescription
Lung Cancer IncidenceFrom baseline to 12 months, 36 months, and 60 months.The proportion of newly diagnosed lung cancer cases identified within the specified follow-up period among all individuals who underwent LDCT screening.
False Positive RateWithin 6 months following LDCT screening.The proportion of LDCT screening results interpreted as positive that are subsequently confirmed as non-lung cancer based on further diagnostic imaging or pathological examination.

Secondary

MeasureTime frameDescription
All-Cause MortalityFrom baseline to 12 months, 36 months, and 60 months.The proportion of deaths from any cause among all individuals who underwent LDCT screening during the study period.
Time to DiagnosisAt the 12-month, 36-month, and 60-month follow-up assessments after LDCT screening.The time interval from LDCT screening to the date of confirmed lung cancer diagnosis, reported at the 12-month, 36-month, and 60-month follow-up time points.
Lung Cancer MortalityFrom baseline to 12 months, 36 months, and 60 months.The proportion of participants who die from lung cancer within the specified follow-up period after undergoing LDCT screening.
Follow-up Completion RateUp to 12 months post-screening.The proportion of individuals who completed the scheduled follow-up examinations or clinical evaluations within the designated follow-up period after undergoing LDCT screening.
Smoking Cessation RateAssessed at 3 months, 6 months, and 12 months after baseline screening.The proportion of individuals who successfully quit smoking within the follow-up period after LDCT screening
Time to Treatment InitiationAt the 12-month, 36-month, and 60-month follow-up assessments after lung cancer diagnosis.The time interval from the date of confirmed lung cancer diagnosis to the initiation of treatment, reported at the 12-month, 36-month, and 60-month follow-up time points.
Lung Cancer Recurrence RateFrom baseline to 12 months, 36 months, and 60 months.The proportion of patients previously diagnosed and treated for lung cancer who experience disease recurrence during the follow-up period.

Countries

Taiwan

Contacts

Primary ContactHao-Min Cheng, M.D., Ph.D
hmcheng@vghtpe.gov.tw+886-2-28712121 ext 85322

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026