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Record W4381390063 · doi:10.31548/veterinary1.2023.57

Clinical and morphological features of mastocyte diagnosis in dogs

2023· article· en· W4381390063 on OpenAlexaboutno aff
N.B. Kolych, N. V. Hudz, О. А. Тарасов

Bibliographic record

VenueUkrainian journal of veterinary sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMastocytomaMedicinePathologyBiopsySkin biopsyHistopathological examinationSkin tumoursGross examinationLipomaPhysical examinationDermatologyInternal medicine

Abstract

fetched live from OpenAlex

Mastocytoma is one of the most common skin tumours in dogs. It is characterised by a specific course, unpredictable behaviour, and prognosis. This tumour is dangerous because it mimics the external signs of other neoplasms, from less-threatening lipoma to skin cancer. The purpose of the study is to conduct pathomorphological verification and classification of neoplasia in dogs diagnosed during a clinical examination and to establish the features of the morphological manifestation of the skin form of mastocytoma in them. The material for the studies was obtained by excisional biopsy during surgical interventions for skin neoplasms. The diagnosis of mastocytoma was established based on the results of a clinical examination of animals and the examination of biopsy material of neoplasms using cytological and histological research methods. It was established that the share of skin neoplasia in the structure of oncological diseases of dogs was 30.12%. Among the animals with skin neoplasia that were examined, mastocytoma was diagnosed in 17.55% of dogs aged 3 to 14 years. The highest incidence rates were established in dogs aged 7 to 12 years. Most often, skin mastocytoma was diagnosed in dogs of the following breeds: Shar Pei – 13.5%; Labrador – 9.5%; Boxer – 8.2%. Isolated cases of tumour formations were observed in animals of such breeds as: German shepherd, Spaniel, Central Asian Shepherd, and Pug. Depending on gender: males accounted for 52.2%, females – 47.8%. In 50% of the examined animals, mastocytomas developed with rapid dynamics, which indicates a substantial aggressiveness of tumour growth. Clinically, signs of dehydration and gastrointestinal disorders were detected in dogs, which indicates the development of paraneoplastic syndrome. According to the results of sonography, it was established that skin mastocytomas are visualised as heterogeneous hypoechoic structures with indistinct contours and uneven edges. Based on the results of the study, new information was obtained regarding the morphological features of the manifestation and development of mastocytes in dogs. Thus, the obtained results complement and expand knowledge about the pathogenesis of mastocytoma in dogs, the frequency of spread and features of the course of this oncological pathology in a separate geographical population of Ukraine

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)0.004
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 score0.034
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
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 head0.229
GPT teacher head0.479
Teacher spread0.251 · 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
Published2023
Admission routes1
Has abstractyes

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