Novel Applications for Sarcoma Assessment

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.

Eligibility

Inclusion Criteria:

1. Patients with a soft tissue mass that are discussed at the sarcoma multi-disciplinary meeting
2. Undergoing MRI as part of their standard of care
3. Participant is willing and able to give informed consent for participation in the trial.

Exclusion Criteria:

1. Patient has already had the mass, or part of the mass, surgically removed prior to their MRI scan
2. Contraindication to MRI (e.g. presence of contraindicated implants e.g. cardiac pacemakers, claustrophobia).

Conditions2

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