(amendment) AI-SONAR
Research type
Research Study
Full title
Artificial Intelligence & radiomics for Stratification Of lung Nodules After Radically treated cancer (AI-SONAR)
IRAS ID
331656
Contact name
Richard Lee
Contact email
Sponsor organisation
The Royal Marsden NHS Foundation Trust
Duration of Study in the UK
5 years, 0 months, 1 days
Research summary
We wish to assess the utility of artificial intelligence and radiomics approaches to new lung nodules in patients who have undergone radical treatment for a previous cancer. Radiomics involves computer based assessment of scan images and can be used to help predict the risk of cancer in this setting. We will assess whether such platforms can accurately distinguish which lung nodules are benign or cancerous and which represent metastatic recurrence from a previous cancer vs a new primary lung malignancy. Such tools could help guide which patients would benefit from earlier investigations including additional imaging, biopsy sampling and improve early diagnosis, leading to better patient outcomes in this unique cohort. The study will use data which has been routinely collected as part of normal patient care.
Within the scope of this study, we also wish to conduct exploratory work looking at RNA sequencing data derived from retrospective tissue samples to see whether genomic signals can be linked to radiomics data defined by AI and machine learning models.
REC name
North East - Tyne & Wear South Research Ethics Committee
REC reference
23/NE/0151
Date of REC Opinion
7 Aug 2023
REC opinion
Further Information Favourable Opinion