{"title":"利用计算机辅助图像分析对未怀孕和怀孕的阿瓦西母羊子宫超声图像进行回声评估","authors":"Sebahat GÜMÜŞ, Tuğra AKKUŞ","doi":"10.1016/j.smallrumres.2024.107291","DOIUrl":null,"url":null,"abstract":"<div><p>The aim of this study is to determine how physiological changes occurring in the uterus during early pregnancy affect echotexture values by computer-assisted analysis of ultrasonographic images of the uterus in pregnant and non-pregnant ewes. It was also aimed to clarify the relationship between the echotextural parameters and progesterone (P<sub>4</sub>) hormone in this period. A total of 40 Awassi ewes were used in the study, as Group 1 (n=20) not pregnant ewes, and Group 2 (n=20) pregnant ewes. Transrectal ultrasonography was applied on days 4, 7, 10, 13, 15, 16, and 17 after natural mating and the uterus tissue images were recorded. Blood samples were taken for the measurement of progesterone hormone. Measurements were taken on the uterus ultrasonographic images of the mean grayness value (MGV), homogeneity (HOM), and contrast (CON). In the statistical analyses of the data, two-way repeated measures ANOVA were examined with variance analysis and the Pearson test. It was found a time-related significant difference in the echotexture parameters within the groups of the pregnant and non-pregnant ewes in respect of the MGV, HOM, and CON values (P<0.05). The MGV and HOM values in all the days when measurements were taken after natural mating were significantly higher in the non-pregnant ewes compared to the pregnant group (P<0.001). The CON value was significantly higher in the pregnant ewes than the non-pregnant ewes in all days of measurement after natural mating (P<0.001). A time-related statistically significant difference was determined in the serum P<sub>4</sub> within the groups of pregnant and non-pregnant ewes (P<0.001) and it was higher in the pregnant ewes (P<0.001). A significant negative correlation was determined between P<sub>4</sub> and MGV, and between P<sub>4</sub> and HOM, and a significant positive correlation between P<sub>4</sub> and CON. In conclusion, it was found a significant difference between the pregnant and non-pregnant ewes in respect of the echotextural evaluation of the uterus and the measurement of P<sub>4</sub> hormone. In ewes farming, the early determination of pregnancy and early determination of ewes that are not pregnant gives the opportunity for repeat mating, and the evaluation of changes occurring in the uterus by computer-assisted image analysis can be used as an assistive method for providing additional nutrition in pregnant ewes.</p></div>","PeriodicalId":21758,"journal":{"name":"Small Ruminant Research","volume":"236 ","pages":"Article 107291"},"PeriodicalIF":1.6000,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Echotextural evaluation of ultrasonographic images of the uterus in non-pregnant and pregnant Awassi ewes using computer-assisted image analysis\",\"authors\":\"Sebahat GÜMÜŞ, Tuğra AKKUŞ\",\"doi\":\"10.1016/j.smallrumres.2024.107291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The aim of this study is to determine how physiological changes occurring in the uterus during early pregnancy affect echotexture values by computer-assisted analysis of ultrasonographic images of the uterus in pregnant and non-pregnant ewes. It was also aimed to clarify the relationship between the echotextural parameters and progesterone (P<sub>4</sub>) hormone in this period. A total of 40 Awassi ewes were used in the study, as Group 1 (n=20) not pregnant ewes, and Group 2 (n=20) pregnant ewes. Transrectal ultrasonography was applied on days 4, 7, 10, 13, 15, 16, and 17 after natural mating and the uterus tissue images were recorded. Blood samples were taken for the measurement of progesterone hormone. Measurements were taken on the uterus ultrasonographic images of the mean grayness value (MGV), homogeneity (HOM), and contrast (CON). In the statistical analyses of the data, two-way repeated measures ANOVA were examined with variance analysis and the Pearson test. It was found a time-related significant difference in the echotexture parameters within the groups of the pregnant and non-pregnant ewes in respect of the MGV, HOM, and CON values (P<0.05). The MGV and HOM values in all the days when measurements were taken after natural mating were significantly higher in the non-pregnant ewes compared to the pregnant group (P<0.001). The CON value was significantly higher in the pregnant ewes than the non-pregnant ewes in all days of measurement after natural mating (P<0.001). A time-related statistically significant difference was determined in the serum P<sub>4</sub> within the groups of pregnant and non-pregnant ewes (P<0.001) and it was higher in the pregnant ewes (P<0.001). A significant negative correlation was determined between P<sub>4</sub> and MGV, and between P<sub>4</sub> and HOM, and a significant positive correlation between P<sub>4</sub> and CON. In conclusion, it was found a significant difference between the pregnant and non-pregnant ewes in respect of the echotextural evaluation of the uterus and the measurement of P<sub>4</sub> hormone. In ewes farming, the early determination of pregnancy and early determination of ewes that are not pregnant gives the opportunity for repeat mating, and the evaluation of changes occurring in the uterus by computer-assisted image analysis can be used as an assistive method for providing additional nutrition in pregnant ewes.</p></div>\",\"PeriodicalId\":21758,\"journal\":{\"name\":\"Small Ruminant Research\",\"volume\":\"236 \",\"pages\":\"Article 107291\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Small Ruminant Research\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S092144882400097X\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Ruminant Research","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092144882400097X","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
引用次数: 0
摘要
本研究的目的是通过计算机辅助分析怀孕和未怀孕母羊的子宫超声图像,确定怀孕早期子宫发生的生理变化如何影响回声纹理值。研究还旨在阐明这一时期回声纹理参数与孕酮(P4)激素之间的关系。研究共使用了 40 只阿瓦西母羊,分为第一组(n=20)未怀孕母羊和第二组(n=20)怀孕母羊。在自然交配后的第 4、7、10、13、15、16 和 17 天进行经直肠超声波检查,并记录子宫组织图像。采集血液样本用于测定孕酮激素。测量子宫超声图像的平均灰度值(MGV)、均匀度(HOM)和对比度(CON)。数据统计分析采用双向重复测量方差分析和皮尔逊检验。结果发现,妊娠母羊和非妊娠母羊组内的回声纹理参数在 MGV、HOM 和 CON 值方面存在与时间相关的显著差异(P<0.05)。在自然交配后测量的所有天数中,未怀孕母羊的 MGV 和 HOM 值都明显高于怀孕组(P<0.001)。在自然交配后的所有测量日中,妊娠母羊的 CON 值均明显高于非妊娠母羊(P<0.001)。在妊娠母羊组和非妊娠母羊组中,血清 P4 与时间相关,差异有统计学意义(P<0.001),且妊娠母羊血清 P4 更高(P<0.001)。P4 与 MGV 之间、P4 与 HOM 之间存在明显的负相关,P4 与 CON 之间存在明显的正相关。总之,妊娠母羊和非妊娠母羊在子宫回声评估和 P4 激素测量方面存在明显差异。在母羊饲养中,早期确定妊娠和早期确定未妊娠母羊可为重复交配提供机会,通过计算机辅助图像分析评估子宫发生的变化可作为为妊娠母羊提供额外营养的辅助方法。
Echotextural evaluation of ultrasonographic images of the uterus in non-pregnant and pregnant Awassi ewes using computer-assisted image analysis
The aim of this study is to determine how physiological changes occurring in the uterus during early pregnancy affect echotexture values by computer-assisted analysis of ultrasonographic images of the uterus in pregnant and non-pregnant ewes. It was also aimed to clarify the relationship between the echotextural parameters and progesterone (P4) hormone in this period. A total of 40 Awassi ewes were used in the study, as Group 1 (n=20) not pregnant ewes, and Group 2 (n=20) pregnant ewes. Transrectal ultrasonography was applied on days 4, 7, 10, 13, 15, 16, and 17 after natural mating and the uterus tissue images were recorded. Blood samples were taken for the measurement of progesterone hormone. Measurements were taken on the uterus ultrasonographic images of the mean grayness value (MGV), homogeneity (HOM), and contrast (CON). In the statistical analyses of the data, two-way repeated measures ANOVA were examined with variance analysis and the Pearson test. It was found a time-related significant difference in the echotexture parameters within the groups of the pregnant and non-pregnant ewes in respect of the MGV, HOM, and CON values (P<0.05). The MGV and HOM values in all the days when measurements were taken after natural mating were significantly higher in the non-pregnant ewes compared to the pregnant group (P<0.001). The CON value was significantly higher in the pregnant ewes than the non-pregnant ewes in all days of measurement after natural mating (P<0.001). A time-related statistically significant difference was determined in the serum P4 within the groups of pregnant and non-pregnant ewes (P<0.001) and it was higher in the pregnant ewes (P<0.001). A significant negative correlation was determined between P4 and MGV, and between P4 and HOM, and a significant positive correlation between P4 and CON. In conclusion, it was found a significant difference between the pregnant and non-pregnant ewes in respect of the echotextural evaluation of the uterus and the measurement of P4 hormone. In ewes farming, the early determination of pregnancy and early determination of ewes that are not pregnant gives the opportunity for repeat mating, and the evaluation of changes occurring in the uterus by computer-assisted image analysis can be used as an assistive method for providing additional nutrition in pregnant ewes.
期刊介绍:
Small Ruminant Research publishes original, basic and applied research articles, technical notes, and review articles on research relating to goats, sheep, deer, the New World camelids llama, alpaca, vicuna and guanaco, and the Old World camels.
Topics covered include nutrition, physiology, anatomy, genetics, microbiology, ethology, product technology, socio-economics, management, sustainability and environment, veterinary medicine and husbandry engineering.