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Record W2083833712 · doi:10.5489/cuaj.11092

Rare case of paratesticular solitary fibrous tumour (lipomatous hemangiopericytoma)

2012· article· en· W2083833712 on OpenAlexvenueno aff
Yagil Barazani, Basir Tareen

Bibliographic record

VenueCanadian Urological Association Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsnot available
Fundersnot available
KeywordsSpermatic cordSolitary fibrous tumorMedicineSarcomaScrotumHistologyMagnetic resonance imagingAsymptomaticHemangiopericytomaPathologyAnatomyRadiologyBiologyCD34

Abstract

fetched live from OpenAlex

A 26-year-old male presented with an asymptomatic 6-cm left paratesticular mass. Ultrasound and magnetic resonance imaging confirmed this mass as extratesticular, likely a tumour arising from the left spermatic cord. The mass demonstrated marked avid enhancement on post-contrast images, suggestive of a spermatic cord sarcoma. A left inguinal exploration was performed and gross examination of the mass revealed a well-circumscribed tumour with a discrete capsule separating it from the ipsilateral spermatic cord. The mass was resected without performing an orchiectomy and histology demonstrated a solitary fibrous tumour (lipomatous hemangiopericytoma), with minimal proliferative activity and negative margins. The occurrence of a paratesticular solitary fibrous tumour is exceedingly rare, with only a handful of case reports. We review the literature regarding this rare entity and discuss its diagnosis and management.

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)0.003
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.252
Teacher spread0.236 · 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

Citations17
Published2012
Admission routes1
Has abstractyes

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