Evidence map›Paper›PMID 27872954›Full record

ArticleSkeletal radiology2017

Osteitis: a retrospective feasibility study comparing single-source dual-energy CT to MRI in selected patients with suspected acute gout.

Torsten Diekhoff, Michael Scheel, Sandra Hermann, Jürgen Mews, Bernd Hamm, Kay-Geert A Hermann

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Skeletal radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Article
  8. Computed tomography-current status and future directions for arthritis imaging.Therapeutic advances in musculoskeletal disease · 2024
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  15. Article
  16. Imaging of Joints and Bones in Autoinflammation.Journal of clinical medicine · 2020
    Review
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  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Torsten DiekhoffDepartment of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany. torsten.diekhoff@charite.de.ORCID http://orcid.org/0000-0003-3593-1449
Michael ScheelDepartment of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany.
Sandra HermannDepartment of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin Campus Mitte, Berlin, Germany.
Jürgen MewsToshiba Medical Systems Europe, BV, Zilverstraat 1, 2701RP, Zoetermeer, Netherlands.
Bernd HammDepartment of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany.
Kay-Geert A HermannDepartment of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDual-energy computed tomography detects tophi in patients with chronic gout. However, other information that can be obtained from the same scan is not the focus of the current research, e.g., the detection of bone marrow edema (BME) using virtual bone marrow imaging (VBMI). The aim of this study was to evaluate if BME in patients with acute arthritis can be detected with VBMI using magnetic resonance imaging (MRI) as the standard of reference. MATERIALS AND

methodsThis retrospective study included 11 patients who underwent both MRI and dual-energy computed tomography (mean interval of 40 days). BME in MRI (standard of reference) and VBMI was judged independently by two different blinded readers. φ-correlation coefficient and Cohen's κ were performed for statistical analysis. Approval was waived by the IRB.

resultsTwo patients with a final diagnosis of RA and one with septic arthritis showed osteitis on MRI and VBMI. However, in each case, there were individual bones identified with osteitis on MRI but not VBMI. Three additional patients with the final diagnosis of RA were identified correctly as negative for BME. There was a good correlation between both modalities (φ = 0.8; κ = 0.8). Inter-rater reliability was excellent for both modalities (κ = 0.9).

conclusionsWe have shown that detecting osteitis using VBMI is feasible in patients with inflammatory arthritis. Further studies are needed on larger, more-targeted populations to better define the indications, accuracy, and added value of this technique.

Indexed as

Acute DiseaseAgedAged, 80 and overArthritis, RheumatoidBone MarrowDiagnosis, DifferentialEdemaFeasibility StudiesFemaleGoutHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedOsteitisBone marrow edemaDual-energy computed tomographyInflammationPostprocessing

Identifiers

PMID27872954
PMCPMC5177665

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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.