Academic Thesis

Basic information

Name Mizutani Yuko
Belonging department
Occupation name
researchmap researcher code 7000027157
researchmap agency Okayama University of Science

Title

Application of fiber tractography and diffusion tensor imaging to evaluate spinal cord diseases in dogs.(学位論文)

Bibliography Type

Joint Author

Author

Konishi Y, Satoh H, Kuroiwa Y, Kusaka M, Yamashita A, Asada Y, Asanuma T.

Summary

Fiber tractography is a technique capable of depicting the three-dimensional structure and connectivity of nerve fibers using serial magnetic resonance diffusion tensor imaging (DTI). To establish fiber tractography and DTI methods in veterinary clinical medicine, we evaluated fiber tractography and DTI parameters: apparent diffusion coefficient (ADC) values and fractional anisotropy (FA) values, in various spinal cord diseases. Spinal cord DTI was examined in 28 dogs with spinal cord diseases. The ADC and FA values were measured at lesion sites and cranial normal sites on spinal cords, and both values of lesion sites were compared with normal sites. In thoracolumbar intervertebral disk herniation (IVDH) cases, depending on their neurologic grades, fiber tractography indicated rupture of fiber trajectories, loss of neuronal bundles and disorder of fiber directions. In these cases, the average ADC values at lesion sites significantly decreased compared with normal sites (P=0.016). In the progressive myelomalacia case, the average ADC and FA values of hyperintense swollen regions in T2WI decreased compared to both values in other disease cases. Finally, in the meningioma case, the continuity of fiber trajectories improved after the administration of an anticancer agent. This study suggests that fiber tractography and DTI are useful in the diagnosis and prognosis of veterinary spinal cord diseases.

Magazine(name)

J Vet Med Sci.

Publisher

Volume

79

Number Of Pages

2

StartingPage

418

EndingPage

424

Date of Issue

2017/02

Referee

Exist

Invited

Not exist

Language

English

Thesis Type

ISSN

13477439

DOI

10.1292/jvms.16-0504

NAID

PMID

28025450

URL

J-GLOBAL ID

arXiv ID

ORCID Put Code

DBLP ID