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Novel Applications for Sarcoma Assessment
Sponsor: The Leeds Teaching Hospitals NHS Trust
Summary
This research aims to improve the way of deciding whether a lump in soft tissue such as fat or muscle is a type of cancer called a soft tissue sarcoma, or if it is benign (non-cancerous). To do this the investigators will use routine clinical MRI scans, additional quantitative MRI scans and artificial intelligence. The aims of this research are: To develop AI algorithms that can accurately classify soft tissue masses as benign or malignant using routine and quantitative MR images. To classify malignant soft tissue masses into their pathological grade. Compare different AI models on external, unseen testing sets to determine which offers the best performance. Participants will be asked if they can spend up to a maximum of 10 extra minutes in an MRI scanner so that the extra images can be acquired. A small subset of participants will be invited back so the investigators can check the reproducibility of the images and the AI software.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
186
Start Date
2023-08-09
Completion Date
2026-03-31
Last Updated
2026-04-14
Healthy Volunteers
No
Conditions
Interventions
Quantitative MRI
Patients will be asked to remain in the scanner for an additional 10 minutes while we acquire additional quantitative MR images
Locations (1)
Leeds Teaching Hospitals
Leeds, United Kingdom