Literature DB >> 24675836

Clinical applications and characteristics of apparent diffusion coefficient maps for the brain of two dogs.

Boeun Kim1, Kangjae Yi, Sunyoung Jung, Seoyeon Ji, Mincheol Choi, Junghee Yoon.   

Abstract

Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) mapping are functional magnetic resonance imaging techniques for detecting water diffusion. DWI and the ADC map were performed for intracranial lesions in two dogs. In necrotizing leukoencephalitis, cavitated lesions contained a hypointense center with a hyperintense periphery on DWI, and hyperintense signals on the ADC maps. In metastatic sarcoma, masses including a necrotic region were hypointense with DWI, and hyperintense on the ADC map with hyperintense perilesional edema on DWI and ADC map. Since DWI and ADC data reflect the altered water diffusion, they can provide additional information at the molecular level.

Entities:  

Keywords:  apparent diffusion coefficient map; brain; diffusion- weighted imaging; dog; magnetic resonance image

Mesh:

Year:  2014        PMID: 24675836      PMCID: PMC4178150          DOI: 10.4142/jvs.2014.15.3.455

Source DB:  PubMed          Journal:  J Vet Sci        ISSN: 1229-845X            Impact factor:   1.672


  15 in total

1.  Use of diffusion-weighted MR imaging in differential diagnosis between intracerebral necrotic tumors and cerebral abscesses.

Authors:  B Desprechins; T Stadnik; G Koerts; W Shabana; C Breucq; M Osteaux
Journal:  AJNR Am J Neuroradiol       Date:  1999-08       Impact factor: 3.825

2.  A ring-enhancing metastasis with central high signal on diffusion-weighted imaging and low apparent diffusion coefficients.

Authors:  S Holtås; B Geijer; L G Strömblad; P Maly-Sundgren; I M Burtscher
Journal:  Neuroradiology       Date:  2000-11       Impact factor: 2.804

Review 3.  Diffusion-weighted MR imaging of the brain.

Authors:  P W Schaefer; P E Grant; R G Gonzalez
Journal:  Radiology       Date:  2000-11       Impact factor: 11.105

4.  Herpes simplex encephalitis: diffusion MR imaging findings.

Authors:  R N Sener
Journal:  Comput Med Imaging Graph       Date:  2001 Sep-Oct       Impact factor: 4.790

5.  Diffusion-weighted MRI in cystic or necrotic intracranial lesions.

Authors:  S H Park; K H Chang; I C Song; Y J Kim; S H Kim; M H Han
Journal:  Neuroradiology       Date:  2000-10       Impact factor: 2.804

6.  Magnetic resonance imaging apparent diffusion coefficients for histologically confirmed intracranial lesions in dogs.

Authors:  James Sutherland-Smith; Ryan King; Dominik Faissler; Robin Ruthazer; Amy Sato
Journal:  Vet Radiol Ultrasound       Date:  2010-11-11       Impact factor: 1.363

7.  Differential MRI diagnosis between brain abscesses and necrotic or cystic brain tumors using the apparent diffusion coefficient and normalized diffusion-weighted images.

Authors:  Lydie Nadal Desbarats; Sandra Herlidou; Giovanni de Marco; Catherine Gondry-Jouet; Daniel Le Gars; Hervé Deramond; Ilana Idy-Peretti
Journal:  Magn Reson Imaging       Date:  2003-07       Impact factor: 2.546

8.  Diffusion-weighted MRI features of brain abscess and cystic or necrotic brain tumors: comparison with conventional MRI.

Authors:  Shih Chin Chang; Ping Hong Lai; Wei Liang Chen; Hsu Huei Weng; Jih Tsun Ho; Jyh Seng Wang; Chuan Yu Chang; Huay Ben Pan; Chien Fang Yang
Journal:  Clin Imaging       Date:  2002 Jul-Aug       Impact factor: 1.605

Review 9.  Diffusion weighted MR imaging in non-infarct lesions of the brain.

Authors:  E Karaarslan; A Arslan
Journal:  Eur J Radiol       Date:  2007-06-06       Impact factor: 3.528

Review 10.  Diffusion-weighted MRI in the body: applications and challenges in oncology.

Authors:  Dow-Mu Koh; David J Collins
Journal:  AJR Am J Roentgenol       Date:  2007-06       Impact factor: 3.959

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  1 in total

1.  Magnetic resonance imaging characteristics of ischemic brain infarction over time in a canine stroke model.

Authors:  Sooyoung Choi; Daji Noh; Youngwhan Kim; Inseong Jeong; Hojung Choi; Youngwon Lee; Kija Lee
Journal:  J Vet Sci       Date:  2018-01-31       Impact factor: 1.672

  1 in total

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