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使用成像软件对黄体功能进行早期预测。

Early Prediction of Corpus Luteum Functionality Using an Imaging Software.

作者信息

Salzano Angela, Russo Marco, Anglani Giuseppe, Licitra Francesca, Zullo Gianluigi, Cotticelli Alessio, Fatone Gerardo, Campanile Giuseppe

机构信息

Department of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy.

Istituto Zooprofilattico Sperimentale della Sicilia, Palermo, Italy.

出版信息

Front Vet Sci. 2020 Jun 18;7:299. doi: 10.3389/fvets.2020.00299. eCollection 2020.

Abstract

The present study aimed to assess the applicability of luteal blood flow data acquired through the use of color Doppler ultrasonography and a post-processing analysis tool (ImageJ) for predicting pregnancy in buffaloes (). The experiment was carried out on 59 multiparous Italian Mediterranean buffaloes that underwent synchronization of estrus and fixed-time artificial insemination (TAI). Corpus luteum features (size: CLS and blood flow: BFA) were taken from Day 5 to 10 after TAI and retrospectively measured with ImageJ. In the same period, blood samples were taken to assess progesterone (P) concentrations. Pregnancy diagnosis was carried out on Day 45 by ultrasound and confirmed on Day 70 post-TAI. Differences in CLS, BFA, and P concentrations from Day 5 to 10 after TAI measured between groups were analyzed by ANOVA repeated measures as were differences within each day of measuring. Buffaloes that established a pregnancy ( = 29; 55%) had larger CLS (2.2 ± 0.1 vs. 1.9 ± 0.1 cm; < 0.01), higher BFA (0.6 ± 0.0 vs. 0.4 ± 0.0 cm; < 0.01), and higher P blood level (1.8 ± 0.1 vs. 1.4 ± 0.1; < 0.01) during Day 5-10 as compared to not-pregnant buffaloes ( = 22). Throughout the entire period, the first feature that changed between groups was P blood concentration at Day 7 (1.7 ± 0.1 vs. 1.2 ± 0.1; < 0.05) followed by BFA at Day 8 (0.6 ± 0.0 vs. 0.5 ± 0.0; < 0.05), respectively, in pregnant and not-pregnant animals. The ROC analyses indicated that P was able to predict pregnancy since Day 5 ( < 0.05) although a more reliable result could be obtained from Day 8 ( < 0.01). At Day 10, it was possible to set a cutoff value for every parameter taken into account. The logistic regression analysis showed that pregnancy was positively influenced by P concentration (odds ratio 534.127; < 0.01) and BFA (odds ratio 744.893; < 0.01). In conclusion, the use of color Doppler ultrasonography, together with ImageJ, identified different patterns of BFA between pregnant and not-pregnant buffaloes starting from Day 8 post-TAI.

摘要

本研究旨在评估通过彩色多普勒超声检查及后处理分析工具(ImageJ)获取的黄体血流数据在预测水牛妊娠方面的适用性。实验选取了59头经产意大利地中海水牛,对其进行发情同步和定时人工授精(TAI)。在TAI后的第5天至第10天采集黄体特征(大小:CLS和血流:BFA),并使用ImageJ进行回顾性测量。在同一时期,采集血样以评估孕酮(P)浓度。在TAI后第45天通过超声进行妊娠诊断,并在TAI后第70天进行确认。对TAI后第5天至第10天测量的两组间CLS、BFA和P浓度差异以及每天测量值的差异进行重复测量方差分析。怀孕的水牛(n = 29;55%)在第5 - 10天的CLS更大(2.2 ± 0.1 vs. 1.9 ± 0.1 cm;P < 0.01),BFA更高(0.6 ± 0.0 vs. 0.4 ± 0.0 cm;P < 0.01),P血水平更高(1.8 ± 0.1 vs. 1.4 ± 0.1;P < 0.01),而未怀孕的水牛(n = 22)则相反。在整个期间,两组间最早出现变化的特征是第7天的P血浓度(1.7 ± 0.1 vs. 1.2 ± 0.1;P < 0.05),随后分别是第8天怀孕和未怀孕动物的BFA(0.6 ± 0.0 vs. 0.5 ± 0.0;P < 0.05)。ROC分析表明,P从第5天起就能预测妊娠(P < 0.05),不过从第8天起能得到更可靠的结果(P < 0.01)。在第10天,可以为每个考虑的参数设定临界值。逻辑回归分析表明,P浓度(优势比534.127;P < 0.01)和BFA(优势比744.893;P < 0.01)对妊娠有正向影响。总之,使用彩色多普勒超声检查结合ImageJ,从TAI后第8天开始就能识别出怀孕和未怀孕水牛之间不同的BFA模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d5/7314946/8df5c72e8306/fvets-07-00299-g0001.jpg

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