An Illustrated Scoping Review of the Magnetic Resonance Imaging Characteristics of Canine and Feline Brain Tumors.
James L MayJosefa Garcia-MoraMichael R EdwardsJohn H RossmeislPublished in: Animals : an open access journal from MDPI (2024)
Magnetic resonance imaging (MRI) is used pervasively in veterinary practice for the antemortem diagnosis of intracranial tumors. Here, we provide an illustrated summary of the published MRI features of primary and secondary intracranial tumors of dogs and cats, following PRISMA scoping review guidelines. The PubMed and Web of Science databases were searched for relevant records, and input from stakeholders was solicited to select data for extraction. Sixty-seven studies of moderate to low-level evidence quality describing the MRI features of pathologically confirmed canine and feline brain tumors met inclusion criteria. Considerable variability in data inclusion and reporting, as well as low case numbers, prohibited comparative data analyses. Available data support a holistic MRI approach incorporating lesion number, location within the brain, shape, intrinsic signal appearances on multiparametric sequences, patterns of contrast enhancement, and associated secondary changes in the brain to prioritize differential imaging diagnoses, and often allows for accurate presumptive diagnosis of common intracranial tumors. Quantitative MRI techniques show promise for improving discrimination of neoplastic from non-neoplastic brain lesions, as well as differentiating brain tumor types and grades, but sample size limitations will likely remain a significant practical obstacle to the design of robustly powered radiomic studies. For many brain tumor variants, particularly in cats, there remains a need for standardized studies that correlate clinicopathologic and neuroimaging data.
Keyphrases
- magnetic resonance imaging
- contrast enhanced
- big data
- electronic health record
- diffusion weighted imaging
- computed tomography
- magnetic resonance
- resting state
- healthcare
- white matter
- public health
- emergency department
- randomized controlled trial
- primary care
- case control
- systematic review
- machine learning
- clinical practice
- functional connectivity
- mass spectrometry
- artificial intelligence
- cerebral ischemia
- quality improvement
- optic nerve
- tyrosine kinase