Computer-assisted assessment of ovarian echotexture parameters in mares following changes after ovulation determined by ultrasonography.
Abstract: This study was carried out to determine the time-dependent changes in the ultrasonographic image of the ovary with computer-assisted analysis programs at certain intervals after ovulation and to determine whether computer-assisted analysis programs and ovulation programs can be managed in cases where the ovulation time is unknown. The study included 40 purebred Arab mares. The study was subdivided into 4 different time periods of 6 (Group 1), 12 (Group 2), 18 (Group 3) and 24 (Group 4) hours following ovulation. In addition, after ovulation and ultrasonographic examination, natural insemination was performed at 6, 12, 18 and 24 hours, and pregnancy examination and follow-up were performed at 15-30-45 days. In the echotexture analysis, mean grayness value (MGV) and contrast (CON) measurements were at different levels according to the time groups (p⟨0.001). Homogeneity (HOM) measurements were at different levels according to the time groups (p⟨0.001). A very strong, significant negative correlation was determined between MGV and pregnancy rates (r=-0.91, p=0.01, p⟨0.05). No significant relationship was observed between HOM values and pregnancy rates (r=0.19, p=0.23, p>0.05). A very strong, significant negative correlation was determined between CON and pregnancy rates (r=-0.92, p=0.01, p⟨0.05). It was concluded that the use of ultrasonographic echotexture in mares after ovulation provided very important information. In cases where the time of ovulation was not known, by looking at the values of echotexture parameters, it was seen that the highest pregnancy rates were at the 6th hour and the lowest pregnancy rates were at the 24th hour. As the echotexture parameters MGV and CON increased, it was determined that pregnancy rates decreased, but there was no relationship between them and the HOM value.
Copyright© by the Polish Academy of Sciences.
Publication Date: 2023-01-18 PubMed ID: 36649096DOI: 10.24425/pjvs.2022.142040Google Scholar: Lookup
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Summary
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The research investigated how computer-assisted analysis programs can monitor changes in the ultrasonographic image of an ovary in mares post-ovulation. The significant find is that as the echotexture parameters MGV and CON increased, pregnancy rates decreased, but there was no connection with the HOM value.
Study Purpose and Procedure
- The primary objective of this investigation was to understand the changes over time in the ultrasonographic image of mares’ ovaries after ovulation with the help of computer-assisted analysis programs.
- The research aimed to explore whether such programs could be used if the exact ovulation time is not known.
- The study included 40 purebred Arab mares and was split into four time periods after ovulation: 6 (Group 1), 12 (Group 2), 18 (Group 3) and 24 (Group 4) hours.
- Following ovulation and ultrasonographic examination, natural insemination was conducted at these intervals, and pregnancy examinations were carried out on days 15, 30 and 45 post-insemination.
Analytical Results
- In the analysis of echotexture parameters such as Mean Grayness Value (MGV) and Contrast (CON), different levels were measured based on the time groups.
- Homogeneity (HOM) measurements were also observed at different levels according to the time groups.
- A strong negative correlation was identified between MGV and pregnancy rates, and between CON and pregnancy rates. There was no significant relation observed between HOM values and pregnancy rates.
Key Findings
- An important insight from the study was that using ultrasonographic echotexture in mares after ovulation offers significant information.
- If the ovulation time was unknown, using the echotexture parameter values, it was discovered that the highest pregnancy rates occurred 6 hours post-ovulation, while the lowest rates occurred 24 hours after.
- As the MGV and CON echotexture parameters increased, pregnancy rates decreased; however, there was no relationship between them and the HOM value.
Cite This Article
APA
Akkus T, Korkmaz Ö, Emre B, Zonturlu AK, Yaprakci Ö.
(2023).
Computer-assisted assessment of ovarian echotexture parameters in mares following changes after ovulation determined by ultrasonography.
Pol J Vet Sci, 25(4), 525-533.
https://doi.org/10.24425/pjvs.2022.142040 Publication
Researcher Affiliations
- Department of Obstetrics and Gynecology, Faculty of Veterinary Medicine, Harran University, Akcakale Street, Eyyübiye Campus 255 AN, P.O. Box 63200, Eyyübiye/Şanlıurfa, Turkey.
- Department of Obstetrics and Gynecology, Faculty of Veterinary Medicine, Harran University, Akcakale Street, Eyyübiye Campus 255 AN, P.O. Box 63200, Eyyübiye/Şanlıurfa, Turkey.
- Department of Obstetrics and Gynecology, Faculty of Veterinary Medicine, Harran University, Akcakale Street, Eyyübiye Campus 255 AN, P.O. Box 63200, Eyyübiye/Şanlıurfa, Turkey.
- Department of Obstetrics and Gynecology, Faculty of Veterinary Medicine, Harran University, Akcakale Street, Eyyübiye Campus 255 AN, P.O. Box 63200, Eyyübiye/Şanlıurfa, Turkey.
- Department of Obstetrics and Gynecology, Faculty of Veterinary Medicine, Harran University, Akcakale Street, Eyyübiye Campus 255 AN, P.O. Box 63200, Eyyübiye/Şanlıurfa, Turkey.
MeSH Terms
- Pregnancy
- Horses
- Animals
- Female
- Ovary / diagnostic imaging
- Ovulation
- Pregnancy Rate
- Ultrasonography / veterinary
- Computers
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