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Novel Applications for Sarcoma Assessment

NCT06073314 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 186

Last updated 2026-04-14

No results posted yet for this study

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.

Conditions

  • Sarcoma

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

Sponsors & Collaborators

  • The Leeds Teaching Hospitals NHS Trust

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-08-09
Primary Completion
2025-10-30
Completion
2026-03-31

Countries

  • United Kingdom

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06073314 on ClinicalTrials.gov