UTILITY OF MAGNETIC RESONANCE IMAGING FOR DISTINGUISHING NEOPLASTIC FROM NON-NEOPLASTIC BRAIN LESIONS IN DOGS AND CATS

doi:10.1111/j.1740-8261.2005.00069.x

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Wiley InterScience

Veterinary Radiology & Ultrasound

Volume 46 Issue 5, Pages 384 - 387

Published Online: 22 Sep 2005

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UTILITY OF MAGNETIC RESONANCE IMAGING FOR DISTINGUISHING NEOPLASTIC FROM NON-NEOPLASTIC BRAIN LESIONS IN DOGS AND CATS

Giunio Bruto Cherubini ¹ , Panagiotis Mantis ¹ , Teresa A. Martinez ¹ , Christopher R. Lamb ¹ , Rodolfo Cappello ¹

¹ Department of Veterinary Clinical Sciences, The Royal Veterinary College, University of London, London, UK.

Author correspondence and reprint requests to Giunio Bruto Cherubini, Department of Veterinary Clinical Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hertfordshire AL9 7TA, UK.
E-mail: gbcherubini@rvc.ac.uk

This paper was presented at the 17th ESVN/ECVN Annual Congress, September 23–25, 2004, where it received the John Presthus Award for the best presentation by a Resident.

KEYWORDS

brain disease • cat • dog • magnetic resonance imaging

ABSTRACT

The aim of this study was to identify magnetic resonance (MR) signs that aid differentiation of neoplastic vs. non-neoplastic brain diseases in dogs and cats. MR images of 36 dogs and 13 cats with histologic diagnosis of intracranial disease were reviewed retrospectively. Diagnoses included 30 primary and three metastatic brain tumors, 11 infectious/inflammatory lesions, three vascular, one degenerative disease, and one developmental malformation. Upon univariate analysis of 21 MR signs, there were seven that had a significant association with neoplasia: single lesion (P=0.004), shape (P=0.015), mass effect (P=0.002), dural contact (P=0.04), dural tail (P=0.005), lesions affecting adjacent bone (P=0.008), and contrast enhancement (P=0.025). Increasing age was also found to be associated with neoplasia (P=0.0001). MR signs of non-neoplastic brain diseases in dogs and cats were more variable than those of brain neoplasia.

Received October 12, 2004; accepted for publication January 25, 2005.

DIGITAL OBJECT IDENTIFIER (DOI)

10.1111/j.1740-8261.2005.00069.x About DOI