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AI & Radiomics for Stratification of Lung Nodules After Radically Treated Cancer
Sponsor: Royal Marsden NHS Foundation Trust
Summary
This study will assess the utility of radiomics and artificial intelligence approaches to new lung nodules in patients who have undergone radical treatment for a previous cancer.
Official title: Artificial Intelligence & Radiomics for Stratification Of Lung Nodules After Radically Treated Cancer (AI-SONAR)
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2021-10-13
Completion Date
2026-11-01
Last Updated
2022-05-24
Healthy Volunteers
Not specified
Interventions
Non-Interventional Study
First nodule detection CT scans as per eligibility criteria will be used as input into in-house software to extract multiple radiomic features and used to develop a machine learning based classifier to differentiate nodule aetiology. Scans will also be used as input in to a deep learning/convolutional neural network models to perform automated imaging classification.
Locations (2)
The Royal Marsden NHS Foundation Trust (Chelsea Site)
London, United Kingdom
Royal Brompton Hospital
London, United Kingdom