MétaCan
Menu
Back to cohort
Record W1801198442 · doi:10.5489/cuaj.424

Rare case of paratesticular solitary fibrous tumour (lipomatous

2013· article· en· W1801198442 on OpenAlexvenueno aff
Yagil Barazani, Basir Tareen

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsnot available
Fundersnot available
KeywordsSpermatic cordAsymptomaticSarcomaHistologyMedicineMagnetic resonance imagingScrotumRenal capsuleAnatomyPathologyRadiologySurgeryTransplantation

Abstract

fetched live from OpenAlex

A 26-year-old male presented with an asymptomatic 6-cm leftparatesticular mass. Ultrasound and magnetic resonance imagingconfirmed this mass as extratesticular, likely a tumour arisingfrom the left spermatic cord. The mass demonstrated marked avidenhancement on post-contrast images, suggestive of a spermaticcord sarcoma. A left inguinal exploration was performed and grossexamination of the mass revealed a well-circumscribed tumourwith a discrete capsule separating it from the ipsilateral spermaticcord. The mass was resected without performing an orchiectomyand histology demonstrated a solitary fibrous tumour (lipomatoushemangiopericytoma), with minimal proliferative activity and negativemargins. The occurrence of a paratesticular solitary fibroustumour is exceedingly rare, with only a handful of case reports.We review the literature regarding this rare entity and discuss itsdiagnosis 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 score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.001
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 head0.012
GPT teacher head0.232
Teacher spread0.220 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Urological Association JournalSame topicSoft tissue tumor case studiesFrench-language works237,207