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Record W4205197835 · doi:10.1259/bjrcr.20210156

Intra-osseous migration in calcific rotator cuff tendinopathy- a novel depiction of temporal evolution on multimodality imaging

2022· article· en· W4205197835 on OpenAlexaff
Samir Mustaffa Paruthikunnan, Mathieu Boily, Marie-Hélène Martin, Adel Assaf, Rehana Jaffer

Bibliographic record

VenueBJR|case reports · 2022
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsRotator cuffMedicineCalcificationTendinopathyCalcific tendinitisRadiologyTendonitisUltrasoundTendonAnatomy

Abstract

fetched live from OpenAlex

We present a case of calcific tendinopathy of the rotator cuff with intraosseous migration of the calcification, treated with ultrasound-guided bursal steroid injection and followed up with multiple imaging modalities for a year following the initial presentation. The radiographs, ultrasound, CT, nuclear scintigraphy, and MRI images demonstrate the temporal evolution of the intraosseous migrated calcium and show how this pathology, in its acute phase, can mimic other pathologies like osteoid osteoma. The follow-up imaging also illustrates how the migrated intraosseous focus of calcification took a much longer time to heal compared to its intratendinous counterpart, possibly leading to the protracted course of recovery. This report also highlights a previously undescribed pattern of healing of the intraosseous migrated calcium on multiple imaging modalities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.308
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations4
Published2022
Admission routes1
Has abstractyes

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