Common arterial trunk in a cat: a high-resolution morphological analysis with micro-computed tomography

S. Nakao, A.j. Atkinson, T. Motomochi, D. Fukunaga, H. Dobrzynski

Research output: Contribution to journalArticlepeer-review

69 Downloads (Pure)

Abstract

A 6-month-old female cat presented with respiratory distress. Physical examination showed a grade 5/6 holosystolic murmur with prominent precordial impulse over the left cranial chest wall. Echocardiography revealed bilateral hypertrophy of the ventricular walls, a dilated ascending aorta overriding the interventricular septum, a membranous ventricular septal defect and no obvious pulmonary trunk or pulmonary artery branches. Turbulent blood flow was detected around the ventricular septal defect and ascending aorta. Follow-up assessment, 12 months later, revealed marked and progressive biatrial dilation and biventricular hypertrophy. Four months after that, the cat died of severe congestive heart failure. To make a definitive postmortem diagnosis, we performed contrast enhanced micro-computed tomography (CT) on the ex vivo heart with micron-scale spatial resolution imaging and three-dimensional reconstruction. Micro-computed tomography analysis confirmed a common arterial trunk that bifurcated into the left pulmonary artery and aorta 5-mm distally from the truncal valve. The pulmonary trunk was absent. Slightly distal to the first branching, the common arterial trunk further branched into the right pulmonary artery and ascending aorta, indicating the aortic dominant form. Although CT angiography would be a preferred imaging modality for living animals, micro-computed tomography is a valuable tool for the ex vivo diagnosis of complex cardiac anomaly, such as presented in this cat.
Original languageEnglish
Pages (from-to)8-15
JournalJournal of Veterinary Cardiology
Volume34
Early online date21 Dec 2020
DOIs
Publication statusPublished - 21 Dec 2020

Fingerprint

Dive into the research topics of 'Common arterial trunk in a cat: a high-resolution morphological analysis with micro-computed tomography'. Together they form a unique fingerprint.

Cite this