Anatomical, Histological and Doppler Findings of the Uteroovarian Flow Pattern in Non-Pregnant and Pregnant Adult Egyptian Domes-tic Cats (Felis domestica)

Document Type : Original Article

Authors

1 Department of Anatomy & Embryology, Faculty of Veterinary Medicine, Cairo University, Egypt

2 department of anatomy and embryology faculty of veterinary medicine Cairo university

3 Department of Theriogenology, Faculty of Veterinary Medicine, Cairo University, Giza square

Abstract

The present study was carried out on pregnant and non-pregnant sexually adult Egyptian domestic queens to investigate the morphology of ovaries, uterus and Doppler findings to their arterial blood flow. The experimental group composed of eighteen (n= 18) female cats (3–6 years old) and four tomcats used for the mating method (6–9 years old). Four animals from total number were used for dissection, histological preparation and latex injection. The ovary and uterus were supplied by ovarian artery and uterine one, these arteries varied between pregnant and non-pregnant cats and Doppler concerns these findings. Doppler velocities increased reach a highest value of mating day and then decreased in both uterine artery and also a branch of the ovarian artery reached to the entire uterus, in addition to the flow rate and volume increased markedly on the mating day. Both Doppler velocities and Doppler indices are measured in pregnant cats till day 30 of pregnancy in normal pregnant cats (Day 0 = day of mating), as the two Doppler velocities increased linearly till reached a maximum values of day 30, while two Doppler indices decreased linearly from day 0 till day 30, in addition to blood flow rate and volume increased similar to blood velocities. In conclusion: complete examination with anatomical, histological and Doppler findings in uteroovarian vascularization waveform is essential to differentiate between non-pregnant and pregnant adult domestic cats in order to facilitate early diagnosis of any abnormalities in the feline genital tract and to predict the vascularity status.

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