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Record W2385501358 · doi:10.2310/6650.2005.x0004.531

532 IMAGING OF MUELLER-WEISS SYNDROME: A CASE STUDY OF ADULT-ONSET AVASCULAR NECROSIS OF THE NAVICULAR BONE.

2006· article· en· W2385501358 on OpenAlexaff
Vicnays Venu, Glenda Andrews

Bibliographic record

VenueJournal of Investigative Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNavicular boneMedicineAvascular necrosisOsteochondrosisRadiological weaponDeformityRadiologyDorsumSurgeryAnatomy

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Adult-onset spontaneous osteonecrosis of the navicular bone is a rare disorder known as Mueller-Weiss syndrome. Patients with this disorder present with a painful clinical course and progressive deformity. Koehler9s disease, spontaneous osteochondrosis of the navicular bone in children, is a separate entity, and should not be confused with Mueller-Weiss syndrome. These disorders differ not only in age at onset but also in clinical outcome and radiological findings. Mueller first described osteonecrosis of the navicular bone in adults and summarized his radiological findings as medial and/or dorsal protrusion of the navicular bone associated with collapse of the lateral aspect of the bone. Current literature suggests both early and late radiological changes. Initially there is loss of volume and increased radiodensity observed in the lateral aspect of the navicular bone. This is followed by a comma-shaped navicular bone and dorsal protrusion and fragmentation. Fracture lines may also be visualized on CT, and a homogeneous decrease in signal intensity of the navicular bone can be seen on T1-weighted MR images. <h3>Discussion</h3> Here we present an interesting case of adult-onset avascular necrosis of the navicular bone. The patient9s initial presentation, diagnostic work-up, and radiological findings will be discussed. <h3>Conclusion</h3> Mueller-Weiss syndrome is a difficult diagnosis to make. However, diagnosis can be aided by radiological images especially with CT and MR guidance. We present this case in the hope of increasing awareness of this disease and to demonstrate some of the common radiological findings that can be used to aid diagnosis.

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)0.001
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 score0.131
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.275
Teacher spread0.252 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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