Magnetic resonance imaging features of feline intracranial neoplasia: retrospective analysis of 46 cats

J Vet Intern Med. 2004 Mar-Apr;18(2):176-89. doi: 10.1892/0891-6640(2004)18<176:mrifof>2.0.co;2.

Abstract

The purpose of this retrospective study was to determine the magnetic resonance imaging (MRI) characteristics of feline brain tumors and to determine whether these characteristics can be used to accurately predict the histologic diagnosis. MRI scans of 46 cats with histologically confirmed brain tumors were reviewed, including 33 meningiomas, 6 lymphomas, 4 gliomas, 2 olfactory neuroblastomas, and 1 pituitary tumor. MRI features including axial origin, shape, location, signal intensity, contrast enhancement, peritumoral edema, and mass effect were reviewed and characterized for each tumor type. Tumor shape, axial origin, contrast enhancement, and degree of peritumoral edema aided in the identification of tumor type. Meningiomas were always extra-axial and were most often ovoid with marked contrast enhancement and mild peritumoral edema. Gliomas were always intra-axial with ring enhancement and generally caused more peritumoral edema than other tumors. The brain tumor was detected on MRI in 45 (98%) cats. Two blinded independent reviewers correctly identified 82% of all of the tumor types on the basis of MRI appearance alone. Thus, MRI is an excellent diagnostic tool for the detection of brain tumors in cats, and it provides important information to aid in the diagnosis of tumor type.

Publication types

  • Evaluation Study
  • Multicenter Study

MeSH terms

  • Animals
  • Brain Neoplasms / epidemiology
  • Brain Neoplasms / veterinary*
  • Cat Diseases / epidemiology*
  • Cat Diseases / etiology
  • Cat Diseases / pathology
  • Cats
  • Glioma / veterinary
  • Lymphoma / veterinary
  • Magnetic Resonance Imaging / standards
  • Magnetic Resonance Imaging / veterinary*
  • Maryland / epidemiology
  • Meningioma / veterinary
  • Neuroblastoma / veterinary
  • New Jersey / epidemiology
  • Olfactory Nerve Diseases / veterinary
  • Pennsylvania / epidemiology
  • Pituitary Neoplasms / veterinary
  • Predictive Value of Tests
  • Records / veterinary
  • Retrospective Studies