316 EFFECT OF ULTRASOUND TRANSDUCER FREQUENCY ON FOLLICLE IDENTIFICATION ACCURACY IN CATTLE
Notice bibliographique
Résumé
Ultrasoundsonography (US) is an essential tool for the study of reproductive physiology and is particularly useful in research on ovarian follicular dynamics in cattle. The resolution of the US images obtained, however, differs according to the frequency of the transducer used. The objective of this study was to investigate the effect of transducer frequency on the accuracy of follicle identification in cattle. A Honda HS-2000 sonograph equipped with 5.0, 7.5, and 10.0 MHz of B-mode linear rectal transducers was used in this study. A total of 22 ovaries with corpus luteum were collected from a local slaughterhouse. Each ovary was fixed on a paraffin block, immersed in de-gassed water, the transducer was placed at a distance of 1 cm from the surface, and sequential images from one end to other end of ovary were obtained at a distance of 1 mm. All follicles were aspirated by needle after imaging and were then injected with a pigment after counting by all frequencies. Subsequently, following freezing, 5-mm sections of ovaries were cut and the number of follicles in the sections was counted using a megascope. The follicles were classified into 4 groups according to their diameter: 2 to 3 mm, 4 to 6 mm, 7 to 10 mm, and 11 mm. The number of follicles observed using the megascope was compared with those observed at the 3 US frequencies. The ovaries were classified according to corpus luteum (CL) by determining the condition of the CL. Very red and small-sized CL (stage 1: ovary ovulated within 3 days), elastic and bigger CL (stage 2: ovary ovulated at 4 to 14 days), and regressed CL with yellow color (stage 3: ovary ovulated at 15 to 20 days). The data were analyzed by ANOVA. The results revealed no difference (P > 0.05) in the number of follicles observed in any size category using the US transducers and the megascope. Further, there were no differences between the different transducer frequencies and megascopic observations in terms of the number of follicles =4 mm in diameter. The stage of estrus in the ovary also had no effect on the number of follicles observed regardless of follicular size or the US frequency used. In conclusion, these results indicated that follicles could be counted accurately in excised ovaries using 5.0-, 7.5-, and 10.0-MHz transducers. Table 1. The average number of follicles in different frequencies and megascopic (n = 22)
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».