Literature DB >> 28421647

Evaluation of magnetic resonance imaging for the differentiation of inflammatory, neoplastic, and vascular intradural spinal cord diseases in the dog.

Amanda E Masciarelli1, John F Griffin1, Geoffrey T Fosgate2, Silke Hecht3, Joseph M Mankin4, Shannon P Holmes5, Simon R Platt6, Marc Kent6, Theresa E Pancotto7, Annie V Chen8, Jonathan M Levine2.   

Abstract

Magnetic resonance imaging (MRI) is a common test for dogs with suspected intradural spinal cord lesions, however studies on diagnostic performance for this test are lacking. Objectives of this multi-institutional, retrospective, case-control study were to estimate sensitivity and specificity of MRI for (1) distinguishing between histopathologically confirmed intradural spinal cord disease versus degenerative myelopathy in dogs, (2) categorizing intradural spinal cord diseases as neoplastic, inflammatory, or vascular; and (3) determining tumor type within the etiologic category of neoplasia. Additional aims were to (1) determine whether knowledge of clinical data affects sensitivity and specificity of MRI diagnoses; and (2) report interrater agreement for MRI classification of intradural spinal lesions. Cases were recruited from participating hospital databases over a 7-year period. Three reviewers independently evaluated each MRI study prior to and after provision of clinical information. A total of 87 cases were sampled (17 degenerative myelopathy, 53 neoplasia, nine inflammatory, and eight vascular). Magnetic resonance imaging had excellent (>97.6%) sensitivity for diagnosis of intradural spinal cord lesions but specificity varied before and after provision of clinical data (68.6% vs. 82.4%, P = 0.023). Magnetic resonance imaging had good sensitivity (86.8%) and moderate specificity (64.7-72.5%) for diagnosing neoplasia. Sensitivity was lower for classifying inflammatory lesions but improved with provision of clinical data (48.1% vs. 81.5%, P = 0.015). Magnetic resonance imaging was insensitive for diagnosing vascular lesions (25.0%). Interrater agreement was very good for correctly diagnosing dogs with intradural lesions (ĸ = 0.882-0.833), and good (ĸ = 0.726-0.671) for diagnosing dogs with neoplasia.
© 2017 American College of Veterinary Radiology.

Entities:  

Keywords:  MRI; canine; inflammatory; neoplastic; spinal cord; vascular

Mesh:

Year:  2017        PMID: 28421647     DOI: 10.1111/vru.12501

Source DB:  PubMed          Journal:  Vet Radiol Ultrasound        ISSN: 1058-8183            Impact factor:   1.363


  5 in total

1.  Spinal cord neurenteric cyst: clinical and diagnostic findings and long term follow-up in two dogs.

Authors:  Teresa Gagliardo; Daniele Corlazzoli; Marco Rosati; Swan Specchi; Luciano Pisoni; Sara Del Magno; Simona Pappagalli; Greta Galli; Gualtiero Gandini
Journal:  Vet Q       Date:  2018-12       Impact factor: 3.320

2.  Magnetic resonance imaging findings of an intradural extramedullary hemangiosarcoma in a dog.

Authors:  Kenji Kutara; Noritaka Maeta; Teppei Kanda; Akihiro Ohnishi; Ikki Mitsui; Masahiro Miyabe; Yuki Shimizu; Yasuhiko Okamura
Journal:  J Vet Med Sci       Date:  2019-09-04       Impact factor: 1.267

3.  Agreement and differentiation of intradural spinal cord lesions in dogs using magnetic resonance imaging.

Authors:  Maya S Krasnow; John F Griffin; Jonathan M Levine; Wilfried Mai; Theresa E Pancotto; Marc Kent; Thomas R Harcourt-Brown; Sheila C Carrera-Justiz; Lindsey J Gilmour; Amanda E Masciarelli; Nicholas D Jeffery
Journal:  J Vet Intern Med       Date:  2021-12-03       Impact factor: 3.333

4.  Cranial thoracic myelopathies (T1-T6 vertebrae): Retrospective evaluation of the signalment, clinical presentation, and, presumptive or final diagnoses in 84 dogs.

Authors:  Bruno A Lopes; Edward J Ives; Roberto José-López; Rodrigo Gutierrez-Quintana; Jad Abouzeid; Paul Freeman; José Ignacio Redondo; Daniel Sánchez-Masián
Journal:  Front Vet Sci       Date:  2022-09-12

Review 5.  Usefulness of spinal unenhanced computed tomography and CT-myelography in the age of multidetector CT technology and magnetic resonance imaging - Preliminary considerations.

Authors:  Mario Ricciardi; Angela Campanella; Gloria Grieco; Roberta Zammit
Journal:  Open Vet J       Date:  2018-08-05
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.