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Record W3185954913 · doi:10.2754/avb202190020179

Primary soft tissue angiomyolipoma in a dog with unusual clinical features

2021· article· en· W3185954913 on OpenAlexaboutno aff
Jiří Lenz, Petra Konečná, František Tichý, Luděk Fiala

Bibliographic record

VenueActa Veterinaria Brno · 2021
Typearticle
Languageen
FieldMedicine
TopicTuberous Sclerosis Complex Research
Canadian institutionsnot available
Fundersnot available
KeywordsAngiomyolipomaPathologyImmunohistochemistryDesminAdipose tissueHistologySoft tissueClear cellPerivascular Epithelioid CellNeoplasmAnatomyBiologyEpithelioid cellMedicineKidneyVimentin

Abstract

fetched live from OpenAlex

Angiomyolipoma is an extremely rare neoplasm in animals. It belongs to a group of perivascular epithelioid cell tumours (so-called PEComas). This study reports a case of primary soft tissue angiomyolipoma in a dog with some unusual clinical features. A 4-year old female Labrador dog with a rapidly growing pelvic tumour measuring 30 × 20 cm with a short history of 12 weeks was presented. The tumour was well-circumscribed and pushed into the right vaginal wall and into the perineum. The tumour was completely surgically excised. An extensive histological examination was performed, including immunohistochemical analysis. Histology revealed a mesenchymal neoplasm consisting of three tissue components – mature adipose tissue (which dominated), vessels, and smooth muscle (spindle) cells. The lesion showed positive immunohistochemical staining with smooth muscle actin and desmin in mature-appearing smooth muscle cells and S-100 protein positivity in adipocytes. The diagnosis of angiomyolipoma must be considered in different types of benign and malignant tumours of various lineages. The diagnostic approach to soft tissue tumours, including angiomyolipoma, requires optimal processing and sectioning of resected specimens. This paper is believed to be the first case of primary soft tissue angiomyolipoma reported in the veterinary literature.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.385
Teacher spread0.320 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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