Examination of cyclic changes in bovine luteal echotexture using computer-assisted statistical pattern recognition...

Area of Science:

• Veterinary Medicine
• Reproductive Biology
• Medical Imaging Analysis

Background:

• B-mode sonography is a standard diagnostic tool for determining gynecological cycle stages.
• Accurate determination of the bovine estrous cycle is crucial for reproductive management.

Purpose of the Study:

• To evaluate if computer-assisted texture analysis of B-mode ultrasound images of bovine corpus luteum (CL) provides additional information on plasma progesterone concentration and estrous cycle stage.
• To characterize CL texture parameters and their cyclic changes.

Main Methods:

• Four Simmenthal cows were examined over two estrous cycles using ultrasound (7.5MHz probe).
• Three B-mode images of the CL were captured per examination and analyzed using a computer-assisted texture analysis program.
• Texture parameters (Area, Mean Gray Level, Correlation, Run Percentage, Long-Run Emphasis) and plasma progesterone levels were measured.

Main Results:

• All analyzed texture parameters (A, MGL, CORR, RPERC, LREM) exhibited significant cyclic changes (P<0.05).
• The estrous cycle significantly influenced the variability of texture parameters, particularly RPERC (89.9%) and LREM (86.0%).
• Cyclic changes in CL cross-sectional area (A) paralleled progesterone levels, while other parameters like MGL and CORR showed distinct patterns differentiating cycle stages.

Conclusions:

• Computer-assisted texture analysis of CL ultrasound images provides novel insights into luteal gland characteristics.
• These texture parameters facilitate more accurate differentiation of bovine estrous cycle stages compared to traditional methods alone.
• This advanced imaging analysis technique holds potential for improved reproductive diagnostics in cattle.