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Record W2775610621 · doi:10.1071/rdv30n1ab194

194 Usefulness of the Ultrasound Imaging Modalities B-Mode and Colour Doppler Sonography and Serum Progesterone Concentrations for Determining Superovulatory Ovarian Responses in Ewes

2017· article· en· W2775610621 on OpenAlexaff
I. F. Ribeiro, G. S. Maciel, J. F. da Fonseca, F. Z. Brandão, Pawel M. Bartlewski, Maria Emília Franco Oliveira

Bibliographic record

VenueReproduction Fertility and Development · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsEstrous cycleUltrasonographyUltrasoundLuteal phaseTransrectal ultrasonographyLuteolysisColor dopplerMedicineAndrologyEndocrinologyOvaryInternal medicineBiologyFollicular phaseRadiology

Abstract

fetched live from OpenAlex

The main goal of this study was to assess the usefulness of the 2 imaging modalities—B-mode and colour Doppler sonography—for determining the superovulatory response in ewes. In addition, serum concentrations of progesterone (P4) were examined for correlations with the numbers of laparoscopically detected luteal structures. Oestrus was synchronized in 24 sexually mature Santa Inês ewes with intravaginal P4-releasing devices (CIDR®) inserted for 8 days on a random day of the oestrous cycle. An injection of 37.5 µg of prostaglandin F2a analogue (d-cloprostenol) was given at the time of CIDR® insertion and withdrawal. The superovulatory treatment consisting of 8 consecutive doses of porcine FSH (total dose of 200 or 133 or 100 mg of pFSH; n = 8/total dose) given at 12-h intervals began 48 h before CIDR® removal. All animals received a single injection of 300 IU of eCG concurrently with a first dose of pFSH. On the day of surgical embryo recovery (6 days after the onset of behavioural oestrus), the ovaries of all donor ewes were visualised and examined with transrectal ultrasonography and then with videoendoscopy to identify and enumerate corpora lutea (CL) and luteinized unovulated follicles (LUF). Jugular blood samples were collected just before ovarian imaging for the measurement of circulating P4 concentrations. Ovaries could be easily and repeatedly detected with both the transrectal ultrasonography and videoendoscopic technique. Prematurely regressing CL could not be distinguished from healthy CL using either B-mode or colour Doppler ultrasonography but they were identified by their pale color by using videoendoscopy. All animals responded to the superovulatory treatment and produced =4 CL; however, a wide variation in ovarian responses was observed among ewes (range: 4–24 CL/ewe). Three ewes failed to produce healthy CL and had prematurely regressing CL only. In general, LUF were observed in 20/24 ewes (1–5/ewe) and 14/24 ewes had regressing CL (1–22/ewe). The total number of CL (r = 0.78 and 0.83; P < 0.0001) and LUF (r = 0.74 and 0.90; P < 0.0001) enumerated using the B-mode and colour Doppler ultrasonographic technique, respectively, were correlated with that ascertained by videoendoscopy. The determination of the superovulatory response was better by colour Doppler ultrasonography in relation to the B-mode, because it allows a better delimitation of the luteal structures. Serum P4 concentrations were related inversely to the numbers of prematurely regressing CL (r = –0.70; P = 0.0004) and directly to the number of healthy CL (r = 0.69; P = 0.0005). The present results indicate that ultrasonographic imaging and serum P4 measurements on the day of embryo recovery are both very accurate indicators of ovarian responses in superovulated ewes.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.632

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.049
GPT teacher head0.268
Teacher spread0.219 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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