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Record W2958630921 · doi:10.1002/art.41037

Magnetic Resonance Imaging of Lesions in the Sacroiliac Joints for Differentiation of Patients With Axial Spondyloarthritis From Control Subjects With or Without Pelvic or Buttock Pain: A Prospective, Cross‐Sectional Study of 204 Participants

2019· article· en· W2958630921 on OpenAlexaboutno aff
Sengül Seven, Mikkel Østergaard, Lone Morsel‐Carlsen, Inge Juul Sørensen, Birthe Bonde, Gorm Thamsborg, Jens Jørgen Lykkegaard, Oliver Hendricks, Niklas Rye Jørgensen, Susanne Juhl Pedersen

Bibliographic record

VenueArthritis & Rheumatology · 2019
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
FundersRigshospitaletGigtforeningen
KeywordsMagnetic resonance imagingMedicineSacroiliac jointCross-sectional studyProspective cohort studyRadiologySurgeryPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate whether different types of sacroiliac (SI) joint lesions identified by magnetic resonance imaging (MRI) could differentiate axial spondyloarthritis (SpA) from conditions with buttock or pelvic pain attributable to other reasons, including postpartum women and healthy subjects. METHODS: The study was designed as a prospective, cross-sectional study involving 204 participants, comprising patients with axial SpA (n = 41) and control groups of subjects with or without SI joint pain, including patients with lumbar disc herniation (n = 25), women with (n = 46) or without (n = 14) postpartum buttock/pelvic pain (having given birth within the preceding 4-16 months), hospital cleaning staff (n = 26), long-distance runners (n = 23), and healthy men (n = 29). Participants underwent clinical examination and MRI, and MRIs were evaluated in a blinded manner by 2 readers according to the Spondyloarthritis Research Consortium of Canada (SPARCC) SI joint inflammation and structural lesion scores. SPARCC score cutoff levels were defined as scores above a certain threshold. Primary analyses were based on reader agreement with regard to the presence of SI joint pathologic features on MRI ("concordant reads"). Sensitivity, specificity, and positive and negative predictive values were calculated. RESULTS: SI joint ankylosis and backfill were detected by MRI only in patients with axial SpA (32% and 37%, respectively), while bone marrow edema (BME) and fat lesions were seen in all non-axial SpA control groups (3-39% with BME and 4-14% with fat lesions). SI joint erosion was present only in patients with axial SpA and in women with postpartum buttock/pelvic pain (at erosion score cutoffs of >1 and >4, 61% and 34%, respectively, in patients with axial SpA, and 9% and 2%, respectively, in women with postpartum buttock/pelvic pain). A SPARCC BME score of ≥5 was present only in patients with axial SpA (56%) and in women with postpartum buttock/pelvic pain (24%), while fat lesions were present, albeit rarely, at high SPARCC cutoff scores in nearly all groups. Of the 38 women from the non-postpartum control groups who had given birth (mean time since birth 9.7 years), 2 (5%) had BME, whereas none had SI joint erosion or fat lesions, and none had a BME score of ≥4. CONCLUSION: BME and fat lesions were most pronounced in patients with axial SpA, but also occurred in other groups, particularly women with postpartum buttock/pelvic pain. Erosion above a certain SPARCC score threshold as well as backfill and ankylosis were highly specific for axial SpA.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.258
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations60
Published2019
Admission routes1
Has abstractyes

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