Skip to main navigation Skip to search Skip to main content

Spectral waveform analysis of major arteries in conscious dogs by Doppler ultrasonography

  • Kichang Lee
  • , Mincheol Choi*
  • , Junghee Yoon
  • , Juhyun Jung
  • *Corresponding author for this work
  • Seoul National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Normal values of arterial blood flow velocity and waveforms in major arteries of 10 healthy conscious Beagle dogs were determined using Doppler ultrasonography. Peak systolic, early diastolic, and end-diastolic velocities of the basilar artery, common carotid artery, abdominal aorta, external iliac artery, femoral artery, and peak ejection velocity of the valvular aorta were evaluated. Pulsatility index (PI) of the basilar artery and blood pressure were recorded. All arteries had a high-resistance flow pattern with triphasic flow velocity except the basilar artery, which had a low-resistance pattern. Mean peak systolic velocities of the basilar artery, common carotid artery, abdominal aorta, external iliac artery, and femoral artery were 72 ± 19, 115 ± 17, 121 ± 24, 105 ± 25, and 110 ± 17cm/s, respectively. The PI of the basilar artery and peak ejection velocity of the valvular aorta were 1.37 ± 0.13 and 96 ± 16 cm/s, respectively. Mean systolic and diastolic blood pressures were 137 ± 13 and 78 ± 15 mmHg, respectively. Present findings may be used as references in future studies on vascular diseases and hemodynamics in dogs.

Original languageEnglish
Pages (from-to)166-171
Number of pages6
JournalVeterinary Radiology and Ultrasound
Volume45
Issue number2
DOIs
StatePublished - 2004.03

Keywords

  • Abdominal aorta
  • Basilar artery
  • Beagle
  • Common carotid artery
  • Doppler ultrasonography
  • External iliac artery
  • Femoral artery
  • Pulsatility index
  • Valvular aorta
  • Velocity

Fingerprint

Dive into the research topics of 'Spectral waveform analysis of major arteries in conscious dogs by Doppler ultrasonography'. Together they form a unique fingerprint.

Cite this