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.