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Record W4400654683 · doi:10.1111/eve.14025

Use of transrectal transducers in abdominal ultrasonography of horses: A review

2024· review· en· W4400654683 on OpenAlexaff
Jean‐Yin Tan, Hanna Haardt

Bibliographic record

VenueEquine Veterinary Education · 2024
Typereview
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineUltrasonographyTransrectal ultrasonographyAbdominal ultrasonographyRadiologyAbdomenInternal medicineProstate

Abstract

fetched live from OpenAlex

Summary Abdominal ultrasonography is an important diagnostic tool in the evaluation of colic, yet primary care equine veterinary practitioners are often limited by availability and access to low‐frequency (2–5 MHz curvilinear array or sector) abdominal transducers. Use of high‐frequency (5–10 MHz linear array) transrectal transducers has not previously been compared with use of abdominal transducers for transcutaneous abdominal ultrasonography. One recent pilot study established that there was no significant difference in organ detection by the two transducers on the right side of the equine abdomen, but the stomach, liver and kidney on the left side were less likely to be detected using the transrectal transducer in healthy horses. A clinical study found that the transrectal transducer can be used successfully using the FLASH protocol in horses presenting with colic, with high‐quality images that detected abnormalities of the peritoneal fluid, small intestine and large intestine. The transrectal transducer had decreased visualisation of the stomach and left kidney and was less likely to detect pathology surrounding these organs. This is the first series of studies to evaluate use of transrectal transducers in abdominal ultrasonography of the horse, a tool that is readily accessible to the field practitioner.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.335
GPT teacher head0.508
Teacher spread0.173 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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