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Record W4285195353 · doi:10.1016/j.ostima.2022.100043

dGEMRIC T1 IS REDUCED IN HIP CARTILAGE OVERLYING BONE MARROW LESIONS

2022· article· en· W4285195353 on OpenAlexaffabout
C.E. Jones, Jolanda Cibere, Haoji Qian, H. Zhang, Yijia Guo, David H. Russell, Bruce B. Forster, Hubert Wong, John M. Esdaile, D.R. Wilson

Bibliographic record

VenueOsteoarthritis Imaging · 2022
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of British ColumbiaCentre for Advancing Health OutcomesResearch Canada
Fundersnot available
KeywordsCartilageOsteoarthritisMedicineMagnetic resonance imagingBone marrowPopulationCartilage damageNuclear medicineRadiologyPathologyAnatomyArticular cartilage

Abstract

fetched live from OpenAlex

Bone marrow lesions are associated with pain and rapidly worsening osteoarthritis. Previous quantitative MRI research of knees with BMLs has found that the cartilage immediately overlying BMLs is less healthy than the adjacent non-overlying cartilage in patients with knee OA. It is not clear how BMLs affect overlying cartilage in the hip or in early OA. Determine whether dGEMRIC T1 (T1Gd) is reduced in hip cartilage overlying BMLs in a cross-sectional sample of adults aged 20-49. dGEMRIC and PD-weighted fat-suppressed (PDw-FS) images were acquired for 128 adults aged 20-49 recruited from a larger population-based study using a 3T MRI. Acetabular and femoral cartilage was segmented manually. BMLs were identified and segmented semi-automatically from the PDw-FS images and were identified as containing cysts or not. Cysts were defined as bright areas on the PDw-FS images within the BML with well-defined borders. Cartilage T1Gd maps and segmented BMLs were aligned using landmark-based registration. Age and sex-matched control subjects (without BMLs) were identified for each BML subject and were aligned using landmark-based registration. The overlying cartilage was defined as the projection of the BML shape onto the adjacent cartilage surface (ace/fem). The surrounding cartilage was defined as the cartilage not included in the overlying region. We compared characteristics between the BML and control group using a two-sample t-test or Wilcoxon sum rank test for continuous variables, and a χ2 or Fisher's exact test for categorical variables. We applied a linear mixed-effects model to compare the change score (mean T1Gd of overlying minus surrounding cartilage) between the BML and control group. The model was adjusted for BMI, physical activity (MET), FAI, hip pain, and location (ace/fem). Change scores were compared between cystic and non-cystic BML subjects. BML (n=32) and control (n=32) participants were similar on: mean BMI (27.1 vs 27.0), mean MET (10473 vs 10121), and presence of hip pain (53.1% vs 56.3%). The BML group had significantly higher rates of FAI (65.6% vs 37.5%, p=0.02). The change score was significantly larger for the BML subjects compared to controls: -80ms (95% CI: -158, -2), p=0.04. There was no significant difference between the change scores for cystic and non-cystic BML subjects: -32ms (95% CI: -154, 91), p=0.60. Change scores for each individual group are listed in Table 1. Hip cartilage overlying BMLs has reduced glycosaminoglycan (GAG) concentration, consistent with findings in knee OA. A strength of our approach is that we controlled for natural variations in T1Gd in the hip. This work demonstrates that BMLs are associated with osteoarthritis progression in the hip, even at early stages, and that progression is most pronounced overlying BMLs. Canadian Institutes of Health Research (PAF-107513). Arthritis Society (TGP-18-0229). BBF has an equity position in a private imaging clinic which includes MRI in Van BC. The IMPAKT-HiP participants and study team members. CORRESPONDENCE ADDRESS: [email protected].

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.256
Teacher spread0.241 · 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.

Study designBench or experimental
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

Citations1
Published2022
Admission routes2
Has abstractyes

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