Evidence map›Paper›PMID 26576119›Full record

ArticleKorean journal of radiology

A New MRI Grading System for Cervical Foraminal Stenosis Based on Axial T2-Weighted Images.

Sujin Kim, Joon Woo Lee, Jee Won Chai, Hye Jin Yoo, Yusuhn Kang, Jiwoon Seo, Joong Mo Ahn, Heung Sik Kang

Open access · hybridAbstract read
In one paragraph

Article in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Is motor weakness in cervical radiculopathy an indication for surgery? Analysis of risk factors for poor recovery.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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  15. Cervical Column and Cord and Column Responses in Whiplash With Stenosis: A Finite Element Modeling Study.Journal of engineering and science in medical diagnostics and therapy · 2024
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  17. Review
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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

8 authors at 3 institutions in 2 countries.

Sujin KimDepartment of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, Seongnam 13620, Korea.
Joon Woo LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, Seongnam 13620, Korea.
Jee Won ChaiDepartment of Radiology, SMG-SNU Boramae Medical Center, Seoul 07061, Korea.
Hye Jin YooDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 03080, Korea.
Yusuhn KangDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 03080, Korea.
Jiwoon SeoDepartment of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, Seongnam 13620, Korea.
Joong Mo AhnDepartment of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.
Heung Sik KangDepartment of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, Seongnam 13620, Korea.
Seoul National University Hospital · KRSNUH SMG-SNU Boramae Medical Center · KRUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to evaluate the reliability of a new magnetic resonance imaging (MRI) grading system for cervical neural foraminal stenosis (NFS). MATERIALS AND

methodsCervical NFS at bilateral C4/5, C5/6, and C6/7 was classified into the following three grades based on the T2-weighted axial images: Grade 0 = absence of NFS, with the narrowest width of the neural foramen greater than the width of the extraforaminal nerve root (EFNR); Grade 1 = the narrowest width of the neural foramen the same or less than (but more than 50% of) the width of the EFNR; Grade 2 = the width of the neural foramen the same or less than 50% of the width of the EFNR. The MRIs of 96 patients who were over 60 years old (M:F = 50:46; mean age 68.4 years; range 61-86 years) were independently analyzed by seven radiologists. Interobserver and intraobserver agreements were analyzed using the percentage agreement, kappa statistics, and intraclass correlation coefficient (ICC).

resultsFor the distinction among the three individual grades at all six neural foramina, the ICC ranged from 0.68 to 0.73, indicating fair to good reproducibility. The percentage agreement ranged from 60.2% to 70.6%, and the kappa values (κ = 0.50-0.58) indicated fair to moderate agreement. The percentages of intraobserver agreement ranged from 85.4% to 93.8% (κ = 0.80-0.92), indicating near perfect agreement.

conclusionThe new MRI grading system shows sufficient interobserver and intraobserver agreement to reliably assess cervical NFS.

Indexed as

Magnetic Resonance ImagingAgedAged, 80 and overFemaleHumansMaleMiddle AgedRadiographyReproducibility of ResultsSeverity of Illness IndexSpinal StenosisCervical spineClassificationNeural foraminal stenosisSeverity grading system

Identifiers

PMID26576119
PMCPMC4644751
OpenAlexW2144366455

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.