Status:
COMPLETED
IDEAL: Artificial Intelligence and Big Data for Early Lung Cancer Diagnosis Study
Lead Sponsor:
University of Oxford
Collaborating Sponsors:
Optellum Ltd.
Conditions:
Pulmonary Nodule, Solitary
Pulmonary Nodule, Multiple
Eligibility:
All Genders
18+ years
Brief Summary
This study aims to test the use of novel CT image analysis techniques to enable a better characterisation of small pulmonary nodules. The study will incorporate solid and predominantly solid nodules o...
Detailed Description
As the commonest cancer with 1.8 million cases diagnosed each year worldwide, early diagnosis of lung cancer is important to reduce mortality. The early diagnosis of lung cancer is contingent on both ...
Eligibility Criteria
Inclusion
- Male or Female, aged 18 years or above
- CT scans identified as having pulmonary nodule(s) of 5-15mm
- Patients with solid or predominantly solid nodules referred to the pulmonary nodule clinic or for CT scan review by a specialist
- CT scan section thickness of 3mm and less
Exclusion
- The CT scans are technically inadequate
- Having received treatment for cancer in the last 5 years
- Patient has more than five reported qualifying nodules
Key Trial Info
Start Date :
August 29 2018
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
March 31 2022
Estimated Enrollment :
1293 Patients enrolled
Trial Details
Trial ID
NCT03753724
Start Date
August 29 2018
End Date
March 31 2022
Last Update
July 29 2022
Active Locations (4)
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1
Royal Berkshire Nhs Foundation Trust
Reading, Berkshire, United Kingdom, RG1 5AN
2
Nottingham University Hospitals Nhs Trust
Nottingham, Nottinghamshire, United Kingdom, NG7 2UH
3
Oxford University Hospitals NHS Foundation Trust
Oxford, Oxfordshire, United Kingdom, OX3 7LE
4
Leeds Teaching Hospitals Nhs Trust
Leeds, West Yorkshire, United Kingdom, LS9 7TF