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Nerve Ultrasound Protocol to Detect Dysimmune Neuropathies
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Nerve and Muscle Abnormalities.

David A Rubin1

  • 1All Pro Orthopedic Imaging Consultants, LLC, St Louis, MO, USA; Radsource, Brentwood, TN, USA; NYU Langone Medical Center, New York, NY, USA.

Magnetic Resonance Imaging Clinics of North America
|April 4, 2020
PubMed
Summary
This summary is machine-generated.

Muscle atrophy in shoulders with rotator cuff tears indicates poor prognosis. Identifying muscle denervation patterns on MRI helps pinpoint nerve dysfunction, guiding treatment for better surgical outcomes.

Keywords:
DenervationMR imagingMuscleNerveRotator cuffShoulder

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Area of Science:

  • Orthopedic Surgery
  • Neurology
  • Radiology

Background:

  • Muscle atrophy in rotator cuff tears is linked to worse surgical outcomes and reduced healing.
  • Muscle denervation, characterized by edema or atrophy in a specific neurologic distribution, suggests nerve injury.

Purpose of the Study:

  • To highlight the diagnostic value of muscle denervation patterns in shoulder MRI for identifying nerve dysfunction.
  • To emphasize the role of MRI in predicting nerve entrapment locations when mass lesions are absent.

Main Methods:

  • Review of MRI findings in patients with shoulder pathology.
  • Correlation of muscle denervation patterns with clinical diagnoses and nerve entrapment locations.
  • Analysis of prognostic implications of muscle atrophy in rotator cuff tears.

Main Results:

  • Muscle denervation patterns on MRI are often the primary indicator of nerve dysfunction in shoulder pathology.
  • Identifying these patterns aids in localizing nerve entrapment, even without visible mass lesions.
  • Suprascapular nerve compression in the spinoglenoid notch by a cyst is a notable exception.

Conclusions:

  • MRI-detected muscle denervation patterns are crucial for diagnosing and localizing nerve dysfunction around the shoulder.
  • This diagnostic approach improves differential diagnosis and guides clinical management for rotator cuff tears.
  • Understanding denervation patterns can predict surgical outcomes and inform treatment strategies.