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Color Doppler flow imaging for the early detection of nonpregnant cattle at 20 days after timed artificial insemination

机译:彩色多普勒血流成像技术可在定时人工授精后20天早期发现未怀孕的牛

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摘要

The objective was to determine the accuracy of a pregnancy test for predicting nonpregnant cattle based on the evaluation of corpus luteum (CL) blood flow at 20 d (CLBF-d20) after timed artificial insemination (TAI). Crossbred Holstein-Gir dairy heifers (n = 209) and lactating cows (n = 317) were synchronized for TAI using the following protocol: intravaginal implant (1.0 g of progesterone) and 2 mg of estradiol benzoate i.m. on d -10, implant removal and 0.526 mg of sodium cloprostenol i.m. on d -2, 1 mg of estradiol benzoate i.m. on d -1, and TAI on d 0. On d 20, animals underwent grayscale ultrasonography (US) to locate the CL and color flow Doppler to evaluate CLBF-d20 using a portable ultrasound equipped with a 7.5-MHz rectal transducer. Based only on a visual, subjective CLBF evaluation, the animals were classified as pregnant or not pregnant. On d 30 to 35, blinded from results of the previous diagnosis, the same operator performed a final pregnancy diagnosis using US to visualize the fetal heartbeat (gold standard; US-d30). A second evalua-tor also analyzed the CLBF-d20 in the same animals by watching 7-s recorded videos. Blood samples were collected from a subset of 171 females to determine, by RIA, plasma progesterone (P_4) concentrations, which indicate CL function. The final pregnancy outcome (US-d30) was retrospectively compared with the CLBF-d20 diagnoses and then classified either as correct or incorrect. The number of true positive, true negative, false positive, and false negative decisions were inserted into a 2 ×2 decision matrix. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the CLBF-d20 test were calculated using specific equations. Binomial variables (pregnancy rate and proportions) were analyzed using Fisher's exact test for the effect of parity and to compare between evaluators and tests (CLBF-d20 vs. plasma P_4). The kappa values were calculated to quantify the agreement between CLBF-d20 and the gold standard (US-d30) and between evaluators. The performance parameters of CLBF-d20 test were as follows: sensitivity = 99.0%, specificity = 53.7%, positive predictive value = 65.1%, negative predictive value = 98.5%, and accuracy = 74.8%. False negatives represented only 0.4% of the exams. No differences existed in these parameters between evaluators (no. 1 vs. no. 2) and tests (CLBF-d20 vs. plasma P_4). Moreover, a high level of agreement was observed between evaluators (0.91). In conclusion, visual evaluation of CLBF-d20 represents a quick, reliable, and consistent diagnostic test that enables the early detection of nonpregnant cattle.
机译:目的是根据定时人工授精(TAI)后20 d的黄体(CL)血流评估(CLBF-d20),确定妊娠试验预测未怀孕牛的准确性。使用以下方案同步杂交杂交的荷斯坦-吉尔奶牛(n = 209)和泌乳母牛(n = 317):阴道内植入物(1.0 g孕酮)和2 mg i.m苯甲酸雌二醇。在第-10天,取出植入物和0.526mg氯前列腺素钠。在d -2时,i.m。1 mg雌二醇苯甲酸酯。在d -1处进行TAI,在d 0处进行TAI。在20 d时,对动物进行灰度超声(US)定位,并使用配备有7.5 MHz直肠换能器的便携式超声波对CL和彩色多普勒仪进行评估。仅基于视觉,主观CLBF评估,将动物分为怀孕或未怀孕。在第30至35天,对先前的诊断结果视而不见,同一名操作者使用US进行了最终妊娠诊断,以可视化胎儿心跳(黄金标准; US-d30)。另一位评估者还通过观看7 s录制的视频分析了相同动物中的CLBF-d20。从171名女性的子集​​中收集血样,通过RIA确定血浆孕酮(P_4)浓度,该浓度指示CL功能。将最终妊娠结局(US-d30)与CLBF-d20诊断进行回顾性比较,然后分为正确或不正确。将正确肯定,正确否定,错误肯定和错误否定决策的数量插入2×2决策矩阵。使用特定公式计算CLBF-d20检测的灵敏度,特异性,阳性预测值,阴性预测值和准确性。使用Fisher精确检验分析了二项式变量(怀孕率和比例),以评估均等效应,并比较评估者和检验(CLBF-d20与血浆P_4)。计算kappa值以量化CLBF-d20和金标准(US-d30)之间以及评估者之间的一致性。 CLBF-d20测试的性能参数如下:灵敏度= 99.0%,特异性= 53.7%,阳性预测值= 65.1%,阴性预测值= 98.5%,准确度= 74.8%。假阴性只占考试的0.4%。在评估器(1号与2号)和测试(CLBF-d20与血浆P_4)之间,这些参数没有差异。此外,评估人员之间的共识很高(0.91)。总之,对CLBF-d20的视觉评估代表了一种快速,可靠且一致的诊断测试,能够及早发现未怀孕的牛。

著录项

  • 来源
    《Journal of dairy science》 |2013年第10期|6461-6472|共12页
  • 作者单位

    Embrapa, Brazilian Agricultural Research Corporation, Juiz de Fora, Minas Gerais, 36038-330 Brazil;

    Federal University of Espirito Santo, Alegre, Espirito Santo, 29500-000 Brazil;

    FIuminense Federal University, Niteroi, Rio de Janeiro, 24320-340 Brazil;

    Embrapa, Brazilian Agricultural Research Corporation, Juiz de Fora, Minas Gerais, 36038-330 Brazil;

    University of Alfenas, Alfenas, Minas Gerais, 37130-000 Brazil;

    University of Alfenas, Alfenas, Minas Gerais, 37130-000 Brazil;

    Embrapa, Brazilian Agricultural Research Corporation, Juiz de Fora, Minas Gerais, 36038-330 Brazil;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    corpus luteum; blood flow; luteolysis; pregnancy;

    机译:黄体血流(量;黄体溶解;怀孕;
  • 入库时间 2022-08-17 23:24:17

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