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標題: Quantitative echotexture analysis for prediction of ovulation in mares
作者: Chan, J.P.W.
Huang, T.H.
Chuang, S.T.
Cheng, F.P.
Fung, H.P.
Chen, C.L.
Mao, C.L.
關鍵字: bovine ovarian follicles;preovulatory follicle;frozen-semen;ultrasonography;insemination;wall
Project: Journal of Equine Veterinary Science
期刊/報告no:: Journal of Equine Veterinary Science, Volume 23, Issue 9, Page(s) 397-402.
The aim of this study was to predict the ovulation in mares by quantitative analysis of the echotextural changes of preovulatory follicular walls. Four mares of breeding age with 32 preovulatory follicles and 11 anovulatory follicles were observed by ultrasonography. The slope of the regression line of the follicular wall and the echogenicity score of granulosa layer (GL) and anechoic layer (AL) were measured from the images on Days -3 (Day 0 = ovulation), -2, and -1, respectively. GL was scored from 1 (anechoic) to 3 (echoic), and prominence of AL was recorded from 1 (gray and thin) to 3 (black and thick). The results indicated that the regression line of the follicular wall for 81.3% (26/32) of preovulatory follicles had the slope value greater than or equal to19.0 on Day -1, in which 4 of the 26 preovulatory follicles were greater than or equal to19.0 on Day -2 already. Mean slope value on Day -1 (21.9 +/- 1.5) was significantly greater (P <.01) than on Day -2 (15.0 +/- 1.4) and Day -3 (14.0 +/- 1.1). All of the slope values for the 11 anovulatory follicles were <19.0 on any given day. GL and AL scores of preovulatory follicles were significantly greater (P <.01) than in anovulatory follicles on Days -3, -2 and -1; nevertheless, only 28.1% (9/32) of preovulatory follicles scored 3 for both GL and AL simultaneously on Day -1. All anovulatory follicles scored <2 for both GL and AL on Day -1. It was concluded that the slope of the regression line of the follicular wall is useful in predicting preovulatory follicles within 48 hours of ovulation when the value is greater than or equal to19.0. Of these follicles (N = 26), 84.6% (22/26) were predicted to ovulate within 24 hours, and 15.4% (4/26) within 24 to 48 hours.
ISSN: 0737-0806
DOI: 10.1053/jevs.2003.123
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