Evidence map›Paper›PMID 36750489›Full record

ArticleInsights into imaging2023

Anatomical variation of the sacroiliac joints: an MRI study with synthetic CT images.

Elke Vereecke, Lieve Morbée, Frederiek Laloo, Min Chen, Jacob L Jaremko, Nele Herregods, Lennart Jans

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Guideline
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  6. Observational
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  10. Sacroiliac joint variants are common and gender-specific but do not predict fracture pattern in pelvic ring injuries.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026
    Article
  11. When it is not sacroiliitis.Skeletal radiology · 2025
    Review
  12. Article
  13. Review
  14. Evaluation of MRI technologies for surgical spine planning and navigation.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 · 2025
    Article
  15. Review
  16. 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

7 authors at 3 institutions in 3 countries.

Elke Vereecke *Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium. elke.vereecke@uzgent.be.ORCID http://orcid.org/0000-0002-1670-9431
Lieve Morbée *Department of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Frederiek LalooDepartment of Radiology, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Min ChenDepartment of Radiology, Peking University Shenzhen Hospital, Shenzhen, 518036, China.
Jacob L JaremkoDepartment of Radiology and Diagnostic Imaging, University of Alberta Hospital, Edmonton, AB, T6G 2B7, Canada.
Nele HerregodsDepartment of Radiology, 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 · BEAlberta Hospital Edmonton · CAPeking University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSynthetic computed tomography (sCT) images are magnetic resonance imaging (MRI)-based images, generated using artificial intelligence. This study aimed to determine the prevalence of anatomical variants of sacroiliac joints (SIJ) on sCT images and the correlation with age, sex and body weight.

methodsMRI of the SIJ including sCT images of 215 patients clinically suspected for sacroiliitis were retrospectively analyzed. The presence of anatomical variants of the SIJ was assessed. Age, sex and body mass index at the time of the MRI were recorded.

resultsSIJ variants were found in 82.8% (356/430) of the evaluated joints. The most frequent variants were iliosacral complex (27.7%), bipartite iliac bony plate (27.2%) and crescent iliac bony plate (27%). One new variant was identified, consisting of an accessory facet of the SIJ on the superior side. Overall, SIJ variants were slightly more frequent in women (85.8% vs. 77.8%), but iliosacral complex was significantly more frequent in men. Isolated synostosis was more prevalent with advancing age, in contrast to semicircular defect and unfused ossification center. The occurrence of iliosacral complex was associated with higher BMI, while crescent iliac bony plate occurred more in patients with lower BMI.

conclusionOver 80% of patients in this study, who were all suspected of sacroiliitis, had at least one SIJ variant. These variants may actually represent subtypes of the normal SIJ. sCT enables detection of very small or subtle findings including SIJ variants.

Indexed as

Anatomic variationArtificial intelligenceMagnetic resonance imagingSacroiliac jointSynthetic computed tomography

Identifiers

PMID36750489
PMCPMC9905396
OpenAlexW4319337489

What OpenQuestion holds

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LicenceCC BY
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.