Evidence map›Paper›PMID 31676930›Full record

ArticleInsights into imaging2019

Can imaging be the new yardstick for diagnosing peripheral neuropathy?-a comparison between high resolution ultrasound and MR neurography with an approach to diagnosis.

Aakanksha Agarwal, Abhishek Chandra, Usha Jaipal, Meenu Bagarhatta, Kuldeep Mendiratta, Alka Goyal, Raghav Kumar, Naresh Mangalhara

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
  2. Observational
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  15. Imaging diagnosis in peripheral nerve injury.Frontiers in neurology · 2023
    Review
  16. Review
  17. Review
  18. Article
  19. Imaging of traumatic peripheral nerve injuries.Journal of clinical orthopaedics and trauma · 2021
    Article
  20. 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

8 authors at 1 institution in 1 country.

Aakanksha AgarwalDepartment of Radiodiagnosis, SMS Medical College, Jaipur, India. a.agarwal.1992@gmail.com.ORCID http://orcid.org/0000-0003-1130-3202
Abhishek ChandraDepartment of Orthopaedics, SMS Medical College, Jaipur, India.
Usha JaipalDepartment of Radiodiagnosis, SMS Medical College, Jaipur, India.
Meenu BagarhattaDepartment of Radiodiagnosis, SMS Medical College, Jaipur, India.
Kuldeep MendirattaDepartment of Radiodiagnosis, SMS Medical College, Jaipur, India.
Alka GoyalDepartment of Radiodiagnosis, SMS Medical College, Jaipur, India.
Raghav KumarDepartment of Radiodiagnosis, SMS Medical College, Jaipur, India.
Naresh MangalharaDepartment of Radiodiagnosis, SMS Medical College, Jaipur, India.
SMS Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePeripheral neuropathies are a group of disorders which affect the peripheral nervous system which have been conventionally diagnosed using electrodiagnostic studies. This study was carried out to assess the role of imaging in diagnosing peripheral mononeuropathy as exact anatomical localisation of the pathology is possible using high-resolution ultrasound and MR neurography, the modalities assessed in this study.

methodA hospital-based prospective analytical study was carried out in a resource-limited setting on 180 peripheral nerves in 131 patients with symptoms of peripheral mononeuropathy after taking IRB approval. Each patient underwent high-resolution ultrasound examination and MR neurography, findings of which were then compared and statistically analysed assuming electrodiagnostic findings as the gold standard.

resultsOverall, the diagnostic accuracy was highest for the proton density fat-saturated MR sequence (93.89%) followed by high-resolution ultrasound (80%). The sensitivity was highest for proton density fat-saturated sequence while the T1 MR sequence had the highest specificity. Combined diagnostic accuracy of both modalities was calculated to be 93.33% with a negative predictive value of 80%. High-resolution ultrasound and MRI equally detected the cases with nerve discontinuity, while neuromas were better identified on MRI.

conclusionWith the advent of higher frequency probes and improved MR field strength, imaging of peripheral nerves is possible with better accuracy. Imaging assessment of nerves allows anatomical delineation with identification of exact site of involvement. This comparative study demonstrates the role of imaging in diagnosing peripheral nerve pathologies with the accuracy of MRI as high as 93.89% which may serve as an imaging gold standard. High-resolution ultrasound, being quicker, cost effective and a comparable accuracy of 80% can serve as a reliable screening tool. This study incorporates a larger study group and compares HRUS with MRI, taking NCV as gold standard, which has not been done in the preceding studies. With this study, we conclude that these two imaging modalities are not mutually exclusive. Rather, they complement each other and can be used in conjunction as an imaging yardstick for diagnosing peripheral neuropathies.

Indexed as

Magnetic resonance imagingPeripheral nerveUltrasonography

Identifiers

PMID31676930
PMCPMC6825074
OpenAlexW2988066766

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.