Evidence map›Paper›PMID 31669690›Full record

ArticleWorld neurosurgery2020

Magnetic Resonance Imaging Atlas-Based Volumetric Mapping of the Cervical Cord Gray Matter in Cervical Canal Stenosis.

Zachary A Smith, Kenneth A Weber, Monica Paliwal, Benjamin S Hopkins, Alexander J Barry, Donald Cantrell, Aruna Ganju, Tyler R Koski, Todd B Parrish, Yasin Dhaher

Open access · greenAbstract read
In one paragraph

Article in World neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  5. Article
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

10 authors at 5 institutions in 1 country.

Zachary A SmithDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA. Electronic address: zsmith1@nm.org.
Kenneth A WeberDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California, USA.
Monica PaliwalDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Benjamin S HopkinsDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Alexander J BarryArms + Hands Lab, Shirley Ryan Ability Lab, Chicago, Illinois, USA.
Donald CantrellDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Aruna GanjuDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Tyler R KoskiDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Todd B ParrishDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Yasin DhaherDepartment of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Northwestern University · USNeurological Surgery · USShirley Ryan AbilityLab · USStanford University · USThe University of Texas Southwestern Medical Center · US

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
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
NIDA NIH HHS T32 DA035165NINDS NIH HHS K23 NS091430NINDS NIH HHS K23 NS104211
6 · The paper itself

Abstract

backgroundWhite matter volume loss may be an anatomic driver in the development of clinical symptoms in cervical spondylotic myelopathy (CSM). Considerably less attention has been devoted to gray matter (GM) injury. Newly developed atlas-based mapping techniques may allow evaluation of GM cord volume alterations in CSM.

methodsThere were 29 subjects evaluated: 15 patients with CSM (61.1 ± 8.7 years old) and 14 age-matched control subjects (56.1 ± 5.3 years old). All subjects underwent 3T magnetic resonance imaging of the cervical spine. Post-processing with the Spinal Cord Toolbox (v3.0) provided GM volumetric analysis. Clinical scores collected included modified Japanese Orthopaedic Association, neck and arm numeric rating scales, Nurick Scale, and Neck Disability Index. All volumes were normalized to account for anatomic variability.

resultsNormalized mean ventral GM volume in the compression region was significantly lower in patients compared with control subjects (1.103 ± 0.21 vs. 1.35 ± 0.32, P = 0.027). Normalized mean dorsal volume in the compression region was decreased in patients compared with control subjects (0.90 ± 0.17 vs. 1.04 ± 0.15, P = 0.049). GM volumes were associated with clinical scores, including Neck Disability Index, arm numeric rating scale, modified Japanese Orthopaedic Association, and Nurick Scale scores (P = 0.022, P = 0.004, P = 0.027, and P = 0.016).

conclusionsGM volume loss may be evaluated through atlas-based post-processing techniques and may correlate with clinical symptoms in CSM.

Indexed as

Atlases as TopicAdultAgedCervical CordFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedSpinal StenosisSpondylosisCervical cord compressionCSMGray matterMyelopathySpinal Cord ToolboxSpineVolumetric spinal cord mapping

Identifiers

PMID31669690
PMCPMC7024652
OpenAlexW2986667464

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.