Improving diagnosis of soft tissue sarcomas using AI and MRI

Novel Applications for Sarcoma Assessment

Observational The Leeds Teaching Hospitals NHS Trust · NCT06073314

This study is testing if using AI with MRI scans can help doctors better tell if soft tissue lumps are harmless or cancerous for people with these types of masses.

Quick facts

Study typeObservational
Enrollment250 (estimated)
Ages18 Years and up
SexAll
SponsorThe Leeds Teaching Hospitals NHS Trust Academic / other
Locations1 site (Leeds)
Trial IDNCT06073314 on ClinicalTrials.gov

What this trial studies

This research aims to enhance the diagnostic accuracy for soft tissue masses, determining whether they are benign or malignant sarcomas, by utilizing routine and quantitative MRI scans combined with artificial intelligence (AI). The study will develop AI algorithms to classify these masses and assess their pathological grades. Participants will undergo standard MRI scans with an additional 10 minutes for extra imaging, which will not require contrast agents. The study will also evaluate the reproducibility of the AI's performance on unseen testing sets.

Who should consider this trial

Good fit: Ideal candidates are patients with a soft tissue mass being evaluated at a sarcoma multi-disciplinary meeting who are undergoing an MRI as part of their standard care.

Not a fit: Patients who have already had their mass surgically removed or have contraindications to MRI will not benefit from this study.

Why it matters

Potential benefit: If successful, this approach could reduce unnecessary biopsies and improve the accuracy of sarcoma diagnoses.

How similar studies have performed: While the use of AI in imaging is a growing field, this specific application for differentiating soft tissue masses is novel and has not been extensively tested.

Eligibility criteria

Show full inclusion / exclusion criteria
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).

Where this trial is running

Leeds

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions SarcomaMRIDiffusion weighted imagingRadiomicsDeep LearningMachine LearningQuantitative MRI
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.