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Abstract #3340

Non-Invasive Imaging Biomarkers for Exertional Compartment Syndrome

Madison Kamaile George1, Marco Barbieri2, Laurel Hales2, Anoosha Pai1, Valentina Mazzoli3, Michael Fredericson4, Garry Gold2, and Feliks Kogan2
1Bioengineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Radiology, New York University, New York City, NY, United States, 4Orthopaedic Surgery, Stanford University, Redwood City, CA, United States

Synopsis

Keywords: Muscle, Diagnosis/Prediction

Motivation: Exertional compartment syndrome (ECS) is a painful condition characterized by abnormally high muscle compartment pressures induced by exercise. The only diagnostic method is intra-compartmental pressure measurement to directly quantify pressure via needle insertion, which is a barrier to both patients and clinicians. Due to the invasiveness and lack of physicians trained for this measurement, it is often not performed, and symptoms are misdiagnosed.

Goal(s): Determine if MRI can be a non-invasive alternative to the current diagnosis procedure and better understand the pathophysiology of ECS.

Approach: Correlate quantitative DTI, IVIM, and T2 mapping biomarkers between patients with ECS and healthy controls.

Impact: This project addresses a clinical barrier preventing diagnosis of exertional compartment syndrome. We will demonstrate the potential for MRI as a non-invasive diagnostic tool and explore its underlying mechanisms to allow for informative treatment decisions and reduce barriers to diagnosis

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Keywords