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Peer-reviewed veterinary case report

Brain perfusion magnetic resonance imaging using pseudocontinuous arterial spin labeling in 314 dogs and cats.

Journal:
Journal of veterinary internal medicine
Year:
2021
Authors:
Hoffmann, Anne-Cécile et al.
Affiliation:
ADVETIA Veterinary Referral Hospital · France

Abstract

BACKGROUND: Arterial spin labeling (ASL) is a noninvasive brain perfusion magnetic resonance imaging (MRI) technique that has not been assessed in clinical veterinary medicine. HYPOTHESIS/OBJECTIVES: To test the feasibility of ASL using a 1.5 Tesla scanner and provide recommendations for optimal quantification of cerebral blood flow (CBF) in dogs and cats. ANIMALS: Three hundred fourteen prospectively selected client-owned dogs and cats. METHODS: Each animal underwent brain MRI including morphological sequences and &#x2265;1 ASL sequences using different sites of blood labeling and postlabeling delays (PLD). Calculated ASL success rates were compared. The CBF was quantified in animals that had morphologically normal brain MRI results and parameters of ASL optimization were investigated. RESULTS: Arterial spin labeling was easily implemented with an overall success rate of 95% in animals with normal brain MRI. Technical recommendations included (a) positioning of the imaging slab at the foramen magnum and (b) selected PLD of 1025&#x2009;ms in cats and dogs <7&#xa0;kg, 1525&#x2009;ms in dogs 7 to 38&#x2009;kg, and 2025&#x2009;ms in dogs >38&#x2009;kg. In 37 dogs, median optimal CBF in the cortex and thalamic nuclei were 114 and 95&#x2009;mL/100&#x2009;g/min, respectively. In 28 cats, median CBF in the cortex and thalamic nuclei were 113 and 114&#x2009;mL/100&#x2009;g/min, respectively. CONCLUSIONS AND CLINICAL IMPORTANCE: Our survey of brain perfusion ASL-MRI demonstrated the feasibility of ASL at 1.5 Tesla, suggested technical recommendations and provided CBF values that should be helpful in the characterization of various brain diseases in dogs and cats.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/34291497/