Literature DB >> 30243599

Fatty infiltration of the cervical multifidus musculature and their clinical correlates in spondylotic myelopathy.

Michael Cloney1, Andrew C Smith2, Taylor Coffey3, Monica Paliwal3, Yasin Dhaher4, Todd Parrish3, James Elliott3, Zachary A Smith5.   

Abstract

Cervical spondylotic myelopathy (CSM) is among the most common spinal cord disorders of the elderly. Muscle fat infiltration (MFI), a potential pathological sign of muscle adiposity, may contribute to or be associated with pain/disability/impairments in patients with CSM. We examined the relationship between MFI and CSM's clinical manifestations by enrolling nine CSM patients and five aged-matched controls to undergo MRI imaging of the cervical spine with MFI. A blinded investigator calculated MFI for each of the bilateral multifidii muscles from C3 to C7 on the MRI images. Nurick scores, Neck Disability Index, and modified Japanese Orthopedic Association scores were collected for all patients. CSM patients and controls were equivalent with respect to age, height, weight, gender, race, smoking status, and employment status. MFI was higher in patients with CSM than in controls (31.7% v. 24.6%, respectively, p = 0.0178). Higher MFI was associated with increased disability on the Nurick scale (p = 0.0371). MJOA scores correlated linearly with MFI (R = 0.542, p = 0.0453), but not NDI (p = 0.3125). Increased MFI of the multifidus muscles is associated with cervical myelopathy and a clinically significant decline in sensorimotor function as measured by mJOA and Nurick scores. Spinal injury in CSM may lead to secondary muscle loss and muscle fat infiltration.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CSM; Cervical spine; Cervical spondylotic myelopathy; Cervical stenosis; MFI; Muscle fat infiltration; Myelopathy

Mesh:

Year:  2018        PMID: 30243599     DOI: 10.1016/j.jocn.2018.03.028

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  5 in total

1.  Machine Learning for the Prediction of Cervical Spondylotic Myelopathy: A Post Hoc Pilot Study of 28 Participants.

Authors:  Benjamin S Hopkins; Kenneth A Weber; Kartik Kesavabhotla; Monica Paliwal; Donald R Cantrell; Zachary A Smith
Journal:  World Neurosurg       Date:  2019-03-25       Impact factor: 2.104

Review 2.  Cervical disc degeneration: important considerations for the manual therapist.

Authors:  Brian T Swanson; Douglas Creighton
Journal:  J Man Manip Ther       Date:  2021-11-25

3.  Cervical Paraspinal Muscle Fatty Degeneration Is Not Associated with Muscle Cross-sectional Area: Qualitative Assessment Is Preferable for Cervical Sarcopenia.

Authors:  Zachariah W Pinter; Scott Wagner; Donald Fredericks; Ashley Xiong; Melvin Helgeson; Bradford Currier; Brett A Freedman; Christopher Kepler; Benjamin D Elder; Mohamad Bydon; Ahmad Nassr; Arjun S Sebastian
Journal:  Clin Orthop Relat Res       Date:  2021-04-01       Impact factor: 4.176

4.  Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury.

Authors:  Kenneth A Weber; Andrew C Smith; Marie Wasielewski; Kamran Eghtesad; Pranav A Upadhyayula; Max Wintermark; Trevor J Hastie; Todd B Parrish; Sean Mackey; James M Elliott
Journal:  Sci Rep       Date:  2019-05-28       Impact factor: 4.379

5.  Fat Infiltration of Multifidus Muscle Is Correlated with Neck Disability in Patients with Non-Specific Chronic Neck Pain.

Authors:  Francis Grondin; Sébastien Freppel; Gwendolen Jull; Thomas Gérard; Teddy Caderby; Nicolas Peyrot
Journal:  J Clin Med       Date:  2022-09-21       Impact factor: 4.964

  5 in total

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