Evidence map›Paper›PMID 30581892›Full record

ArticleEuropean journal of radiology open2019

Efficacy of diffusion tensor imaging in identification of degenerative cervical spondylotic myelopathy.

Monika Nukala, Jini Abraham, Ganesh Khandige, Bharath K Shetty, Arindam Pol Arjun Rao

Abstract read
In one paragraph

Article in European journal of radiology open, 2019. 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. The apparent diffusion coefficient based on small-field DWI is superior to T2-weighted imaging in evaluating neurological dysfunction of degenerative cervical myelopathy.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 · 2024
    Article
  2. The use of diffusion tensor imaging in spinal pathology: a comprehensive literature review.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 · 2024
    Review
  3. Diagnostic value of cervical spine ZOOM-DWI in cervical spondylotic myelopathy.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 · 2024
    Article
  4. Article
  5. Role of diffusion kurtosis imaging in evaluating microstructural changes in spinal cord of patients with cervical spondylosis.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 · 2023
    Article
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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

5 authors.

Monika NukalaA.J. Institute of Medical Sciences and Research Centre, NH -66, Kuntikan, Mangaluru, Karnataka, 575004, India.
Jini AbrahamA.J. Institute of Medical Sciences and Research Centre, NH -66, Kuntikan, Mangaluru, Karnataka, 575004, India.
Ganesh KhandigeA.J. Institute of Medical Sciences and Research Centre, NH -66, Kuntikan, Mangaluru, Karnataka, 575004, India.
Bharath K ShettyA.J. Institute of Medical Sciences and Research Centre, NH -66, Kuntikan, Mangaluru, Karnataka, 575004, India.
Arindam Pol Arjun RaoA.J. Institute of Medical Sciences and Research Centre, NH -66, Kuntikan, Mangaluru, Karnataka, 575004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIM AND

objectivesTo study the diagnostic accuracy of Diffusion tensor imaging technique in detection of cervical spondylotic myelopathy changes. MATERIAL AND

methodStudy population included 50 patients with symptoms of cervical myelopathy. The patients were evaluated based on symptoms using the European myelopathy scoring system and were divided into: Grade 1, including patients with mild symptoms; Grade 2, referring to patients with moderate symptoms and Grade 3, which included patients revealing severe symptoms. All the patients were investigated with a 1.5 T MRI unit acquiring DWI and DTI sequences. FA and ADC values from each spinal segment were analyzed in terms of Frequency, Percentage, Mean, Standard Deviation and Confidence Intervals. The comparison of values was done by ANOVA and post hoc analysis by bonferroni test. Comparison of accuracy of FA, ADC and T2WI in recognizing myelopathic changes was done by t-test. Receiver Operating Characteristics (ROC) analysis was performed to obtain a cut off value of FA and ADC for each spinal level to identify myelopathic change in the spinal cord.

resultsThe study revealed a significant difference in the mean FA and ADC value of stenotic and Non-stenotic segments. T2WI was highly significant (p = 0.000) in recognizing myelopathy changes in patients falling under Grade 2(moderate) and Grade 3(severe) according to European Myelopathy scoring system. Regarding patients under Grade 1 (mild) FA and ADC values showed significant difference compared to T2WI. The collective sensitivity in the identification of myelopathic changes was highest with FA (79%) as compared to ADC (71%) and T2WI (50%). ROC analysis was done to determine the cut off values of FA and ADC at each cervical spine segments. The proposed cut off, for FA and ADC at the level of

conclusionFA and ADC values enhance the efficacy and accuracy of MRI in the diagnosis of cervical spondylotic myelopathy. Hence diffusion tensor imaging can be used as a non-invasive modality to recognize spondylotic myelopathy changes even in the early stages, which can be helpful in deciding on appropriate timing of decompression surgery before the irreversible chronic changes set in.

Indexed as

ADC, apparent diffusion coefficientCervical spondylotic myelopathyDiffusion tensor imagingDTI, diffusion tensor imagingFA, fractional anisotropyROC, receiver operating characteristicsT2WI, T2 weighted imaging

Identifiers

PMID30581892
PMCPMC6293016

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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.