期刊
THERIOGENOLOGY
卷 175, 期 -, 页码 123-133出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.theriogenology.2021.09.002
关键词
Ultrasonography; Saanen; Fetal development; Pregnancy
资金
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (CAPES) [001]
- Sao Paulo Research Foundation (FAPESP) [2017/14957e6]
This study aimed to monitor maternal-fetal ecobiometric parameters during physiological pregnancy in goats using ultrasound to predict gestational age, establishing mathematical equations. Significant correlations were found between various factors and gestational age, providing reference values for detecting fetal development abnormalities.
The aim of this study was to monitor maternal-fetal ecobiometric parameters during physiological pregnancy in goats using ultrasound to predict gestational age by establishing mathematical equations. Twenty-five Saanen goats were included in the study. Assessments were performed weekly from the 21st day of pregnancy until parturition. The abdominal, thoracic, biparietal, and eye socket diameters; distance from the neck to snout; crown-rump, humerus, radius-ulna, metacarpal, femur, tibia, metatarsal, and placentome lengths; kidney height and length; and heart area were measured. Heart rate was obtained using the pulsed Doppler mode. The variables were correlated with gestational age using Spearman's test, and the adjustment of these variables to simple and multiple regression models was done to determine the mathematical formulas for calculating the gestational age. The highest obtained coefficients of determination (R-2) were for humerus length (96.2), heart area (95.6), and distance from the neck to the snout (95.3). Only the placentome length and fetal heart rate presented low determination coefficients (R-2 = 54.3, R2 = 45.0). The results indicated significant correlations between measures of maternal-fetal structures and gestational age, and can be used as reference values for detection of abnormalities during fetal development. (C) 2021 Elsevier Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据