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COMPLETED
NCT06073314

Novel Applications for Sarcoma Assessment

Sponsor: The Leeds Teaching Hospitals NHS Trust

View on ClinicalTrials.gov

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

DIAGNOSTIC_TEST

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