Evidence map›Paper›PMID 39038658›Full record

ArticleThe spine journal : official journal of the North American Spine Society2024

Cervical spinal cord morphometrics in degenerative cervical myelopathy: quantification using semi-automated normalized technique and correlation with neurological dysfunctions.

Fauziyya Muhammad, Kenneth A Weber, Sandrine Bédard, Grace Haynes, Lonnie Smith, Ali F Khan, Sanaa Hameed, Kathyrn Gray, Kathleen McGovern, Michael Rohan and 7 more

Abstract read
In one paragraph

Article in The spine journal : official journal of the North American Spine Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Charting Cervical Spinal Cord Morphometry Across the Lifespan.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Fauziyya MuhammadDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. Electronic address: fauziyya-muhammad@ouhsc.edu.
Kenneth A WeberDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford School of Medicine, Palo Alto, CA, USA.
Sandrine BédardNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.
Grace HaynesStephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA.
Lonnie SmithDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Ali F KhanDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Sanaa HameedDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Kathyrn GrayDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Kathleen McGovernDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Michael RohanLaureate Institute for Brain Research, Tulsa, OK, USA.
Lei DingNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.
Michael Van HalDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Douglas DicksonDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Mazin Al TamimiDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Todd ParrishDepartment of Radiology, Fienberg School of Medicine, Northwestern University, Evanston, IL, USA.
Yasin DhaherDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Zachary A SmithDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Funding

Structural and functional imaging markers in Degenerative Cervical MyelopathyR01NS129852 · NINDS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Zachary Smith · 2023 to 2026
$2.3M
MRI-Derived Neuromuscular Signatures to Predict Surgical Response in Degenerative Cervical MyelopathyR01NS128478 · NINDS · STANFORD UNIVERSITY · PI Kenneth Arnold Weber · 2023 to 2026
$2.2M
Radiographic markers of clinical function in Cervical Spondylotic MyelopathyK23NS091430 · NINDS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI SMITH, ZACHARY · 2017 to 2021
$1.1M
Neuroimaging-Based Brain and Spinal Cord Biomarkers for Cervical RadiculopathyK23NS104211 · NINDS · STANFORD UNIVERSITY · PI WEBER, KENNETH ARNOLD · 2018 to 2022
$875k
NINDS NIH HHS K23 NS091430NINDS NIH HHS K23 NS104211NINDS NIH HHS L30 NS108301NINDS NIH HHS R01 NS128478NINDS NIH HHS R01 NS129852
6 · The paper itself

Abstract

background contextDegenerative cervical myelopathy (DCM) is characterized by spinal cord atrophy. Accurate estimation of spinal cord atrophy is key to the understanding of neurological diseases, including DCM. However, its clinical application is hampered by difficulties in its precise and consistent estimation due to significant variability in spinal cord morphometry along the cervical spine, both within and between individuals. PURPOSE: To characterize morphometrics of the compressed spinal cord in DCM patients. We employed our semiautomated analysis framework that incorporates the Spinal Cord Toolbox (SCT) and a normalization approach to effectively address the challenges posed by cord compression in these patients. Additionally, we examined the clinical relevance of these morphometric measures to enhance our understanding of DCM pathophysiology. STUDY

designProspective study. PATIENT SAMPLE: This study investigated 36 DCM patients and 31 healthy controls (HCs). OUTCOME MEASURES: Clinical scores including 9-hole peg test for hand dexterity, hand grip strength, balance, gait speed, modified Japanese Orthopaedic Association (mJOA) score, and imaging-based spinal cord morphometrics.

methodUsing the generic spine acquisition protocol and our semiautomated analysis pipeline, spinal cord morphometrics, including cross-sectional area (CSA), anterior-posterior (AP) and transverse (RL) diameters, eccentricity, and solidity, were estimated from sagittal T2w magnetic resonance imaging (MRI) images using the Spinal Cord Toolbox (SCT). Normalized metrics were extracted from the C1 to C7 vertebral levels and compared between DCM patients and HC. Morphometric data at regions of maximum spinal cord compression (MSCC) were correlated with the clinical scores. A subset of participants underwent follow-up scans at 6 months to monitor longitudinal changes in spinal cord atrophy.

resultsSpinal cord morphometric data were normalized against the healthy population morphometry (PAM50 database) and extracted for all participants. DCM patients showed a notable reduction in CSA, AP, and RL diameter across all vertebral levels compared to HC. MSCC metrics correlated significantly with clinical scores like dexterity, grip strength, and mJOA scores. Longitudinal analysis indicated a decrease in CSA and worsening clinical scores in DCM patients.

conclusionOur processing pipeline offers a reliable method for assessing spinal cord compression in DCM patients. Normalized spinal cord morphometrics, particularly the CSA could have potential for monitoring DCM disease severity and progression, guiding treatment decisions. Furthermore, to our knowledge our study is the first to apply the generic spinal cord acquisition protocol, ensuring consistent imaging across different MRI scanners and settings. Coupled with our semiautomated analysis pipeline, this protocol is key for the detailed morphometric characterization of compressed spinal cords in patients with DCM, a disease that is both complex and heterogenous. This study was funded by the National Institute of Neurological Disorders and Stroke (NINDS) (K23:NS091430) and (R01: NS129852-01A1).

Indexed as

Cervical CordCervical VertebraeMagnetic Resonance ImagingSpinal Cord CompressionAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesSpinal Cord DiseasesAtrophyDegenerative cervical myelopathyGeneric spine protocolMRISpinal cordSpinal Cord Toolbox

Identifiers

PMID39038658
PMCPMC11527586

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.