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Record W2059880753 · doi:10.1016/j.carj.2014.07.004

Radiologic and Histopathologic Features of Calcifying Pseudoneoplasm of the Neural Axis

2015· article· en· W2059880753 on OpenAlexaff
Linda Kocovski, Naveen Parasu, John Provias, Snežana Popović

Bibliographic record

VenueCanadian Association of Radiologists Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineLesionCalcificationRadiologyHeadachesLumbarGiant cellAnatomyPathologySurgery

Abstract

fetched live from OpenAlex

AIM: To describe the radiologic and corresponding histopathologic features of calcifying pseudoneoplasms of the neural axis. METHODS: Two cases of calcifying pseudoneoplasm of the neural axis were retrospectively reviewed. The first case was documented in a 64-year-old woman, who presented with lower back pain with radiation to her left leg. The second case was documented in a 70-year-old man, who presented with headaches. Medical records, radiologic and histologic findings, and related literature were reviewed. RESULTS: In the first case, imaging of the lumbar spine revealed a 3.8 × 2.2-cm calcified lesion at the level of vertebrae L5 and S1. A subsequent excision exposed an extradural lesion at L5. Histopathologic examination showed amorphous and granular calcifying material with occasional fibrohistiocytic and giant cell reaction, consistent with calcifying pseudoneoplasm of the neural axis. In the second case, imaging of the head revealed a 2.4 × 2.6-cm well-circumscribed, lobulated, calcified lesion within the basal frontal lobe. Subsequent resection exposed an intradural mass with a nodular arrangement of amorphous and granular calcifying material associated with fibrohistiocytic and giant cell reaction. Both patients had a favorable postoperative course and failed to show any clinical or radiologic sign of recurrence. CONCLUSION: Calcifying pseudoneoplasm of the neural axis is an uncommon condition with an excellent prognosis but is often misdiagnosed due to its nonspecific clinical presentation and varied findings on radiology.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.035
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.028
GPT teacher head0.263
Teacher spread0.235 · 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

Citations13
Published2015
Admission routes1
Has abstractyes

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