Evidence map›Paper›PMID 38270768›Full record

ArticleInsights into imaging2024

A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging.

Ming Ni, Shujing Li, Xiaoyi Wen, Ben Wang, Chenyu Jiang, Xianchang Zhang, Ning Lang, Liang Jiang, Huishu Yuan

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. State Racism Index and physical function: The REasons for Geographic and Racial Differences in Stroke (REGARDS) study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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

9 authors at 3 institutions in 2 countries.

Ming NiDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Shujing LiDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Xiaoyi WenInstitute of Statistics and Big Data, Renmin University of China, Beijing, China.
Ben WangDepartment of Orthopedics, Peking University Third Hospital, Beijing, China.
Chenyu JiangDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Xianchang ZhangMR Collaboration, Siemens Healthcare Ltd., Beijing, China.
Ning LangDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Liang JiangDepartment of Orthopedics, Peking University Third Hospital, Beijing, China. jiangliang@bjmu.edu.cn.
Huishu YuanDepartment of Radiology, Peking University Third Hospital, Beijing, China. huishuy@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-5320-4360
Peking University · CNRenmin University of China · CNSiemens (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly cervical spondylotic myelopathy (CSM) is challenging to diagnose and easily missed. Diffusion MRI (dMRI) has the potential to identify early CSM.

methodsUsing diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and neurite orientation dispersion and density imaging (NODDI), a 1:1 matched case-control study was conducted to evaluate the potential of dMRI in identifying early CSM and assessing uncompressed segments of CSM patients. CSM patients and volunteers were matched by age and spinal location. The differences in dMRI parameters between groups were assessed by the paired t-test, the multicollinearity of the dMRI parameters was evaluated by the variance inflation factor (VIF), and the value of dMRI parameters in distinguishing controls from CSM patients was determined by logistic regression. The univariate t-test was used to analyse differences between CSM patients and volunteers in adjacent uncompressed areas.

resultsIn total, 56 CSM patients and 56 control volunteers were included. Paired t-tests revealed significant differences in nine dMRI parameters between groups. Multicollinearity calculated through VIF and combined with logistic regression showed that the orientation division index (ODI) was significantly positively correlated (r = 2.12, p = 0.035), and the anisotropic water fraction (AWF) was significantly negatively correlated (r = -0.98, p = 0.015). The fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), isotropic volume fraction (ISOVF), ODI, and AWF were significantly different in the upper and lower uncompressed areas at all ages.

conclusiondMRI can noninvasively identify early CSM patients and potentially identify the extent of CSM lesions involving the cervical spinal cord. CRITICAL RELEVANCE STATEMENT: Diffusion MRI (dMRI) can identify early cervical spondylotic myelopathy (CSM) and has the potential to help determine the extent of CSM involvement. The application of dMRI can help screen for early CSM and develop clinical surgical and rehabilitation treatment plans. KEY POINTS: • Diffusion MRI can differentiate between normal and early-stage cervical spondylotic myelopathy patients. • Diffusion MRI has the ability to identify the extent of spinal cord involvement in cervical spondylotic myelopathy. • Diffusion MRI enables the early screening of cervical spondylotic myelopathy and helps guide clinical treatment.

Indexed as

Cervical spondylotic myelopathyDiffusion magnetic resonance imagingRegression analysisSurgery

Identifiers

PMID38270768
PMCPMC10811301
OpenAlexW4391226765

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.