Evidence map›Paper›PMID 27452260›Full record

ArticleThe British journal of radiology2016

Diffusion-weighted magnetic resonance imaging in differentiating acute infectious spondylitis from degenerative Modic type 1 change; the role of b-value, apparent diffusion coefficient, claw sign and amorphous increased signal.

Mohammad Hossein Daghighi, Masoud Poureisa, Mohsen Safarpour, Razieh Behzadmehr, Daniel F Fouladi, Ali Meshkini, Mojtaba Varshochi, Ali Kiani Nazarlou

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Measuring and reporting of vertebral endplate bone marrow lesions as seen on MRI (Modic changes): recommendations from the ISSLS Degenerative Spinal Phenotypes Group.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 · 2019
    Guideline
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Spinal disorders mimicking infection.Insights into imaging · 2021
    Review
  10. Imaging of the spine: Where do we stand?World journal of radiology · 2019
    Article
  11. 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

8 authors at 3 institutions in 1 country.

Mohammad Hossein Daghighi1 Department of Radiology, Imam Reza Teaching Hospital, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
Masoud Poureisa1 Department of Radiology, Imam Reza Teaching Hospital, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
Mohsen Safarpour1 Department of Radiology, Imam Reza Teaching Hospital, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
Razieh Behzadmehr2 Department of Radiology, Zabol University of Medical Sciences, Zabol, Islamic Republic of Iran.
Daniel F Fouladi3 Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
Ali Meshkini4 Department of Neurosurgery, Imam Reza Teaching Hospital, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
Mojtaba Varshochi5 Department of Infectious Disease, Sina Teaching Hospital, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
Ali Kiani Nazarlou1 Department of Radiology, Imam Reza Teaching Hospital, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
Tabriz University of Medical Sciences · IRImam Reza Hospital · IRZabol University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the effect of using different b-values on the utility of diffusion-weighted (DW) MRI in differentiating acute infectious spondylitis from Modic type 1 and the discriminative accuracy of related apparent diffusion coefficient (ADC), claw-sign and amorphous increased signal.

methods43 patients with equivocal diagnosis of acute infectious spondylitis/Modic type 1 by using MR images were prospectively studied. The discriminative accuracy of DW MRI using three b-values of 50, 400, 800 s mm(-2), ADC, claw sign and amorphous increased signal was examined.

resultsDW MRI differentiated infectious spondylitis from Modic type 1 change most accurately when a b-value of 800 s mm(-2) was chosen [sensitivity, 91.7%; specificity, 96.8%; positive-predictive value (PPV), 91.7%; negative-predictive value (NPV), 96.8%; and accuracy, 95.3%]. The optimal cut-off ADC value was 1.52 × 10(-3) mm(2) s(-1) (sensitivity, 91.7%; specificity, 100%; PPV, 100%; NPV, 96.9%; and accuracy, 97.7%). Best visualized at a b-value of 50 s mm(-2), claw sign (for degeneration) and amorphous increased signal (for infection) were 100% accurate.

conclusionShould DW MRI be used in differentiating acute infectious spondylitis from degeneration, large b-values are required. With low b-values, however, claw sign and amorphous increased signal are very accurate in this regard. ADVANCES IN KNOWLEDGE: DW MRI using large b-values could be used in differentiating acute infectious spondylitis from Modic type I.

Indexed as

AdultAgedDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansImage-Guided BiopsyImage Interpretation, Computer-AssistedMaleMiddle AgedProspective StudiesSpondylitisTomography, X-Ray Computed

Identifiers

PMID27452260
PMCPMC5124788
OpenAlexW2488432787

What OpenQuestion holds

Textmetadata
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.