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Diffusion Tensor Imaging: The Future of Diagnostics in Amputation Neuromas

Author

Listed:
  • Gabriella Glassman
  • Alonda Pollins
  • Brad Hill
  • Kathleen Weber Montgomery
  • Salam Kassis

    (Vanderbilt University Medical Center (VUMC), USA)

  • Isaac Manzanera
  • Michael Pridmore
  • Richard Dortch

    (Vanderbilt University Institute of Imaging Science (VUIIS), USA)

  • Leon M Bellan
  • Wesley P Thayer

    (Vanderbilt University, Departments of Mechanical and Biomedical Engineering, USA)

Abstract

Each year in the United States, approximately 185,000 people undergo limb amputations. Their recovery can be complex as many will suffer from either phantom pain, infection, ulceration, stump pain, and/or painful neuromas. Painful neuromas complicate rehabilitation and have devastating effects on quality of life. Neuromas are difficult to diagnose with current methods, which include clinical exam, ultrasound and Magnetic Resonance (MR) neurography. Individually, these techniques are often inadequate and cannot reliably distinguish neuromas from complex regional pain syndrome, phantom pain, abscess formation, osteomyelitis or local tumor recurrence. Without a clear diagnosis, amputation neuroma patients are turned away, neglected and /or treated with overly conservative measures. Enhanced detection of neuromas following amputations or traumatic peripheral nerve injuries would allow for earlier surgical intervention and minimized physical disability. Diffusion Tensor Imaging (DTI) is a non-invasive MRI based approach that probes tissue at the microstructural level and has recently demonstrated exciting potential for neuroma diagnosis. Unlike current detection methods

Suggested Citation

  • Gabriella Glassman & Alonda Pollins & Brad Hill & Kathleen Weber Montgomery & Salam Kassis & Isaac Manzanera & Michael Pridmore & Richard Dortch & Leon M Bellan & Wesley P Thayer, 2019. "Diffusion Tensor Imaging: The Future of Diagnostics in Amputation Neuromas," Open Access Journal of Neurology & Neurosurgery, Juniper Publishers Inc., vol. 12(1), pages 16-21, November.
    • Handle: RePEc:adp:joajnn:v:12:y:2019:i:1:p:16-21
    DOI: 10.19080/OAJNN.2019.12.555830
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