Magnetic resonance imaging pattern recognition of metabolic and neurodegenerative encephalopathies in dogs and cats.

MRI recognition pattern grey matter magnetic resonance imaging metabolic encephalopathies neurodegenerative encephalopathies white matter

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2024
Historique:
received: 24 02 2024
accepted: 02 07 2024
medline: 14 8 2024
pubmed: 14 8 2024
entrez: 14 8 2024
Statut: epublish

Résumé

Metabolic/neurodegenerative encephalopathies encompass a wide list of conditions that share similar clinical and magnetic resonance imaging (MRI) characteristics, challenging the diagnostic process and resulting in numerous tests performed in order to reach a definitive diagnosis. The aims of this multicentric, retrospective and descriptive study are: (I) to describe the MRI features of dogs and cats with metabolic/neurodegenerative encephalopathies; (II) to attempt an MRI recognition pattern classifying these conditions according to the involvement of grey matter, white matter or both; and (III) to correlate the MRI findings with previous literature. A total of 100 cases were recruited, comprising 81 dogs and 19 cats. These included hepatic encephalopathy (20 dogs and three cats), myelinolysis (five dogs), intoxications (seven dogs and one cat), thiamine deficiency (two dogs and seven cats), hypertensive encephalopathy (three dogs and two cats), neuronal ceroid lipofuscinosis (11 dogs and one cat), gangliosidosis (three dogs and two cats), fucosidosis (one dog), L-2-hydroxyglutaric aciduria (13 dogs and one cat), Lafora disease (11 dogs), spongiform leukoencephalomyelopathy (one dog) and cerebellar cortical degeneration (four dogs and two cats). None of the hepatic encephalopathies showed the previously described T1-weighted hyperintensity of the lentiform nuclei. Instead, there was involvement of the cerebellar nuclei (8/23), which is a feature not previously described. Dogs with myelinolysis showed novel involvement of a specific white matter structure, the superior longitudinal fasciculus (5/5). Thiamine deficiency affected numerous deep grey nuclei with novel involvement of the oculomotor nuclei (3/9), thalamic nuclei, subthalamus and cerebellar nuclei (1/9). Cats with hypertensive encephalopathy had a more extensive distribution of the white matter changes when compared to dogs, extending from the parietal and occipital lobes into the frontal lobes with associated mass effect and increased brain volume. Lysosomal storage disease showed white matter involvement only, with neuronal ceroid lipofuscinosis characterised by severe brain atrophy when compared to gangliosidosis and fucosidosis. All patients with L-2-hydroxyglutaric aciduria had a characteristic T2-weighted hyperintense swelling of the cerebral and cerebellar cortical grey matter, resulting in increased brain volume. Lafora disease cases showed either normal brain morphology (5/11) or mild brain atrophy (6/11). Dogs with cerebellar cortical degeneration had more marked cerebellar atrophy when compared to cats. This study shows the important role of MRI in distinguishing different metabolic/neurodegenerative encephalopathies according to specific imaging characteristics.

Identifiants

pubmed: 39139602
doi: 10.3389/fvets.2024.1390971
pmc: PMC11319130
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1390971

Informations de copyright

Copyright © 2024 Miguel-Garcés, Gonçalves, Quintana, Álvarez, Beckmann, Alcoverro, Moioli, Ives, Madden, Gomes, Galban, Bentley, Santifort, Vanhaesebrouk, Briola, Montoliu, Ibaseta and Carrera.

Déclaration de conflit d'intérêts

MM-G was employed by Independent Vetcare (IVC) Evidensia. EI was employed by Linnaeus Veterinary Ltd. CB was employed by VetCT. IC was employed by VetOracle. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

María Miguel-Garcés (M)

Diagnostic Imaging Department, Southern Counties Veterinary Specialists, Independent Vetcare (IVC) Evidensia, Ringwood, United Kingdom.

Rita Gonçalves (R)

Department of Small Animal Clinical Science, Small Animal Teaching Hospital, University of Liverpool, Neston, United Kingdom.

Rodrigo Quintana (R)

Small Animal Hospital, School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.

Patricia Álvarez (P)

Neurology and Neurosurgery Department, Pride Veterinary Referrals, Independent Vetcare (IVC) Ltd., Derby, United Kingdom.

Katrin M Beckmann (KM)

Section of Neurology, Department of Small Animals, Vetsuisse Faculty Zurich, University of Zurich, Zurich, Switzerland.

Emili Alcoverro (E)

ChesterGates Veterinary Specialists, Chester, United Kingdom.

Melania Moioli (M)

Division of Clinical Radiology, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, Bern, Switzerland.

Edward J Ives (EJ)

Anderson Moores Veterinary Specialists, Linnaeus Veterinary Ltd., Hursley, United Kingdom.

Megan Madden (M)

Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.

Sergio A Gomes (SA)

Dovecote Veterinary Hospital, Castle Donington, United Kingdom.

Evelyn Galban (E)

Neurology and Neurosurgery Department, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, United States.

Tim Bentley (T)

Department of Small Animal Clinical Science, Small Animal Teaching Hospital, University of Liverpool, Neston, United Kingdom.

Koen M Santifort (KM)

IVC Evidensia Small Animal Referral Hospital Arnhem, Neurology, Arnhem, Netherlands.
IVC Evidensia Small Animal Referral Hospital Hart van Brabant, Neurology, Waalwijk, Netherlands.

An Vanhaesebrouk (A)

Queen's Veterinary School Hospital, Veterinary Department, University of Cambridge, Cambridge, United Kingdom.

Chiara Briola (C)

Diagnostic Imaging Service, The Ralph Veterinary Referral Centre, Marlow, United Kingdom.
VetCT, Cambridge, United Kingdom.

Patricia Montoliu (P)

Anicura Ars Veterinaria Hospital Veterinari, Barcelona, Spain.
Hospital Veterinari Costa Brava, Girona, Spain.

Unai Ibaseta (U)

Neurology and Neurosurgery Department, Hospital Veterinario Menes, Gijón, Asturias, Spain.

Inés Carrera (I)

VetOracle, Norfolk, United Kingdom.

Classifications MeSH