Evidence map›Paper›PMID 32055947›Full record

ArticleEuropean radiology2020

Bone marrow edema in sacroiliitis: detection with dual-energy CT.

Min Chen, Nele Herregods, Jacob L Jaremko, Philippe Carron, Dirk Elewaut, Filip Van den Bosch, Lennart Jans

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Guideline
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Dual-energy CT applications in musculoskeletal disorders.The British journal of radiology · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

7 authors at 2 institutions in 2 countries.

Min ChenDepartment of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium. Min.Chen@Ugent.be.ORCID http://orcid.org/0000-0002-5083-7533
Nele HerregodsDepartment of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Jacob L JaremkoDepartment of Radiology & Diagnostic Imaging, University of Alberta Hospital, 8440-112 Street, Edmonton, Alberta, T6G 2B7, Canada.
Philippe CarronDepartment of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Dirk ElewautDepartment of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Filip Van den BoschDepartment of Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Lennart JansDepartment of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Ghent University Hospital · BEUniversity of Alberta Hospital · CA

Funding

European Society of Musculoskeletal Radiology Young Researchers Grant 2019
6 · The paper itself

Abstract

objectivesTo evaluate the feasibility and diagnostic accuracy of dual-energy computed tomography (DECT) for the detection of bone marrow edema (BME) in patients suspected for sacroiliitis.

methodsPatients aged 18-55 years with clinical suspicion for sacroiliitis were enrolled. All patients underwent DECT and 3.0 T MRI of the sacroiliac joints on the same day. Virtual non-calcium (VNCa) images were calculated from DECT images for demonstration of BME. VNCa images were scored by two readers independently using a binary system (0 = normal bone marrow, 1 = BME). Diagnostic performance was assessed with fluid-sensitive MRI as the reference standard. ROIs were placed on VNCa images, and CT numbers were displayed. Cutoff values for BME detection were determined based on ROC curves.

resultsForty patients (16 men, 24 women, mean age 37.1 years ± 9.6 years) were included. Overall inter-reader agreement for visual image reading of BME on VNCa images was good (κ = 0.70). The sensitivity and specificity of BME detection by DECT were 65.4% and 94.2% on the quadrant level and 81.3% and 91.7% on the patient level. ROC analyses revealed AUCs of 0.90 and 0.87 for CT numbers in the ilium and sacrum, respectively. Cutoff values of - 44.4 HU (for iliac quadrants) and - 40.8 HU (for sacral quadrants) yielded sensitivities of 76.9% and 76.7% and specificities of 91.5% and 87.5%, respectively.

conclusionsInflammatory sacroiliac BME can be detected by VNCa images calculated from DECT, with a good interobserver agreement, moderate sensitivity, and high specificity. KEY POINTS: • Virtual non-calcium images calculated from dual-energy CT can detect sacroiliac bone marrow edema in patients suspected for sacroiliitis. • Dual-energy CT has a high specificity in bone marrow edema detection. • Virtual non-calcium images for bone marrow edema in patients with a large amount of red bone marrow or obvious sclerosis near the articular surface should be interpreted with caution.

Indexed as

AdultAlgorithmsBone MarrowBone Marrow DiseasesCalciumEdemaFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedROC CurveSacroiliac JointSacroiliitisSensitivity and SpecificityTomography, X-Ray ComputedCalciumRadiography, dual-energy scanned projectionTomography, X-ray computed

Identifiers

PMID32055947
OpenAlexW3006374618

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.