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Laparoscopic Removal of a Large Abdominal Testicular Teratoma in a Standing Horse

2010· article· en· W1982669589 on OpenAlexaff
Nicola Cribb, LUDOVIC P. BOURÉ

Bibliographic record

VenueVeterinary Surgery · 2010
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineTeratomaLaparoscopyInsufflationAbdomenSurgeryHorsePouch

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe laparoscopic removal of a large testicular teratoma in a standing horse. STUDY DESIGN: Clinical report. ANIMALS: Thoroughbred horse (11 months) with a testicular teratoma. METHODS: A unilateral cryptorchid testicle could not be removed by an inguinal approach under general anesthesia because of it s large size. After recovery from general anesthesia, ultrasound evaluation revealed a 24 x 19 cm fluid-filled testicular mass. The mass was removed by paralumbar fossa laparoscopy with the horse in a standing position. After fluid aspiration of the mass, the mesorchium and ductus deferens were ligated with extracorporeal knots and the mass retrieved inside a laparoscopic specimen pouch. Morphologic features were consistent with a teratoma. RESULTS: Laparoscopic-guided aspiration of fluid from the teratoma decreased mass size and increased ease of manipulation and retrieval. Retrieval of the teratoma in a laparoscopic specimen pouch prevented loss of abdominal insufflation, helped reduce fluid leakage, and potential seeding of neoplastic cells. CONCLUSION: Use of laparoscopy for removal of neoplastic cryptorchid testicles offers many advantages including minimal invasiveness and increased safety associated with good visibility of structures. CLINICAL RELEVANCE: Standing laparoscopic surgery should be considered for removal of testicular neoplasms in horses.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.088
GPT teacher head0.389
Teacher spread0.301 · 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

Citations21
Published2010
Admission routes1
Has abstractyes

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