Evidence map›Paper›PMID 40418434›Full record

ArticleRheumatology international2025

Impact of combining magnetic resonance images and radiographs on radiographic grading of sacroiliitis and classification in axial spondyloarthritis: a reliability study.

Kemal Erol, Kevser Orhan, Işıl Yurdaışık, Salih Özgöçmen

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Article in Rheumatology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Kemal ErolDivision of Rheumatology, Faculty of Medicine, Selçuk University, Konya, Turkey.ORCID http://orcid.org/0000-0003-0673-3961
Kevser OrhanDivision of Rheumatology, Ankara City Hospital, Ankara, Turkey.ORCID http://orcid.org/0000-0001-8639-751X
Işıl YurdaışıkDepartment of Radiology, Faculty of Medicine, İstinye University, Gaziosmanpaşa Hospital, İstanbul, Turkey.ORCID http://orcid.org/0000-0001-8316-1229
Salih ÖzgöçmenDepartment of Rheumatology, Faculty of Medicine, İstinye University, Gaziosmanpaşa Hospital, İstanbul, Turkey. sozgocmen@hotmail.com.ORCID http://orcid.org/0000-0002-4860-452X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the reliability of sacroiliac radiographic grading based on the modified New York criteria, both through grading pelvic radiographs alone and in combination with sacroiliac magnetic resonance imaging and the influence of alone and multimodal interpretation on the categorization of radiographic and non-radiographic axial spondyloarthritis (r-axSpA and nr-axSpA). Radiographs of the SI joints from patients with axSpA were graded by two rheumatologists independently in two sessions (radiographs only and MRI + radiographs) and followed by consensus sessions with the participation of a radiologist. Overall, anteroposterior pelvic radiographs and T1 weighted MR scans of the sacroiliac joints from 138 patients with axSpA were eligible. Intra- and inter-reader reliability was fair to moderate for both techniques regardless of whether they were examined alone or in conjunction with MRI, however confidence levels of readers were relatively higher in the MRI + radiographs combined technique compared to radiographs only. Regarding the classification, both readers' intra and inter reader agreements were moderate to substantial. The kappa values and agreement were notably higher for the combined reading technique. In the consensus sessions, 10.2% of patients were recategorized. Merging the information from MRI scans with pelvic radiographs yielded no notable enhancement in the accuracy of radiographic grading of SI joint. Categorizing axSpA as either radiographic or non-radiographic based on pelvic radiography falls short in reliability even after combining with MR images and may likely call for a more reliable definition, axSpA with or without structural changes, relying on more advanced imaging techniques than radiographs.

Indexed as

Axial SpondyloarthritisMagnetic Resonance ImagingSacroiliac JointSacroiliitisAdultFemaleHumansMaleMiddle AgedObserver VariationRadiographyReproducibility of ResultsSeverity of Illness IndexMagnetic resonanceMultimodal imagingRadiographReliabilitySacroiliitisSpondyloarthritis

Identifiers

PMID40418434
PMCPMC12106133

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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.