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Record W2808958461 · doi:10.15421/nvlvet8342

Pathomorphological characteristics of of ovarian tumors in domestic animals

2018· article· en· W2808958461 on OpenAlexaboutno aff
N.I. Mykhalenko, E. S. Kotlyarov

Bibliographic record

VenueScientific Messenger of LNU of Veterinary Medicine and Biotechnology · 2018
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsCATSPathologyCystadenomaOvaryGerm cell tumorsSerous CystadenomaSerous fluidMucinous cystadenomaFibromaMedicineClear cellStromal cellDysgerminomaBiologyCarcinomaInternal medicinePancreas

Abstract

fetched live from OpenAlex

Pathomorphological and clinical studies of 23 cases of ovarian tumors of dogs and cats have been carried out, which allowed to determine the morphological, clinical and anamnestic features of different histological types of ovarian tumors. Both types of animals dominated benign tumors. Malignant neoplasms were registered only in dogs, and only dogs observed proliferative tumors. 2 cases were verified as tumor-like lesions, one for each animal species. The group of epithelial tumors was the most widely reported in dogs and cats, namely different histological variants of cystadenoma. The variety of variants of cystadenoma in the dog prevailed – serous, serous proliferative, mucinous and malignant variants (cystadenocarcinoma) were observed, whereas only serous cystadenoma was diagnosed in cats. In addition to cystadenoma, adenofibroma in cats and light-cell carcinoma and Brenner`s tumors in dogs have been described. In the second place in the prevalence are the Sex Cord–Stromal Tumors. Our studies only registered granulosa-stromal cell tumors, which were represented by granulosa cell tumors of the ovary in dogs, and fibroma of the ovary in cats. Germ Cell Tumors were recorded as dysgerminoma. In both species of animals, there is a clear dependence of the appearance of neoplasm on its histological type. All neoplasms with one or more cavities referred to different variants of cystadenoma. Other histological types of ovarian tumors looked like a single, limited knot of soft or dense consistency of different sizes. At the time of detection of ovarian tumors, the age of dogs varied about 9 years, cats – about 12 years. Among the dogs of the general group, a large proportion was made by breeding animals. In the study group, dogs of the following breeds were registered: Labrador, German Shepherd Dog, Staffordshire Terrier, Caucasian Shepherd Dog and Doberman. Among the 6 cats, only one was pedigree. Tumors of ovaries in dogs and cats were almost not accompanied by clinical symptoms. In most cases, ovarian tumors were found accidentally during routine sterilization.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.010
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 head0.085
GPT teacher head0.381
Teacher spread0.296 · 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.

Study designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

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