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Record W2385658124

Measurement of synovial membrane thickness in knee osteoarthritis by MRI

2011· article· en· W2385658124 on OpenAlexaboutno aff
Yang Fa-bao

Bibliographic record

VenueHainan Yixueyuan xuebao · 2011
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisMedicineSynovitisSynovial membraneCartilageCompartment (ship)Nuclear medicineAnatomyPathologyInternal medicineArthritis
DOInot available

Abstract

fetched live from OpenAlex

Objective: To explore the measurement of synovial membrane thickness in knee osteoarthritis by MRI.Methods: A total of 23 cases with knee osteoarthritis were examined by MRI.T2-weighted was performed to examine the content of synovial fluid and gradient echo(GRE) was performed to examine synovial membrane.Synovial membrane thickness was measured by four regions of interest(ROI) method,including four regions: media and lateral intergroove,and media and interior suprapatellar bursa,with each graded from 0 to 3,and the maximum grade of 12.Twelve patients were randomly selected and evaluated on the 60th day by Western Ontario and McMaster Universities OA Index and visual analog scale.And cartilage volume was measured by spoiled gradient recalled(SPGR) sequence.Results: The grade of synovial membrane thickness was 1.82±0.52,of media compartment was 1.77±0.58,of lateral compartment was 1.88±0.67,of suprapatellar was 1.95±0.50 and of recessbursa was 1.70±0.68.The severity of synovitis was positively correlated with cartilage volume(P0.05).Conclusions: The severity of knee osteoarthritis can be accurately and effective determined by MRI.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.227
Teacher spread0.204 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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