Literature DB >> 15760866

Effect of thin-section diffusion-weighted MR imaging on stroke diagnosis.

Hisao Nakamura1, Kei Yamada, Osamu Kizu, Hirotoshi Ito, Sachiko Yuen, Takaaki Ito, Kenji Yoshikawa, Kensuke Shiga, Masanori Nakagawa, Tsunehiko Nishimura.   

Abstract

BACKGROUND AND
PURPOSE: Diffusion-weighted (DW) imaging has limited spatial resolution, especially in the z direction. We decreased the section thickness of DW imaging to 3 mm to determine if this change improves the depiction of small infarcts and if it affects stroke diagnosis.
METHODS: We studied conventional (5-mm section thickness, 1-mm intersection gap) and thin-section (3-mm section thickness, no intersection gap) DW imaging data in 49 patients with symptoms of acute cerebral ischemia. Two radiologists who were not aware of the clinical findings reviewed all images and diagnosed the stroke subtype according to the Trial of Org 10172 in Acute Stroke Treatment (TOAST) method. Accuracies of stroke diagnosis with an experienced neuroradiologist and with a second-year radiology resident were compared. To quantify lesion conspicuity, contrast-to-noise ratios (CNRs) were measured. The CNR of thin-section DW imaging was then divided by the CNR of conventional DW imaging to yield the relative CNR (rCNR).
RESULTS: The experienced neuroradiologist made the correct final diagnoses in 78% of cases with conventional DW imaging, improving to 100% with thin-section DW imaging. The resident made the correct diagnoses in 71% of cases with conventional DW imaging, improving to 94% with thin-section DW imaging. Lesion conspicuity was improved on thin-section DW imaging (rCNR = 1.47 +/- 0.63), especially for supratentorial lesions (rCNR = 1.51 +/- 0.63).
CONCLUSION: Compared with conventional DW imaging, thin-section DW imaging permitted better lesion conspicuity and more precise stroke diagnosis.

Entities:  

Mesh:

Year:  2005        PMID: 15760866      PMCID: PMC7976479     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  14 in total

1.  Early detection of regional cerebral ischemia in cats: comparison of diffusion- and T2-weighted MRI and spectroscopy.

Authors:  M E Moseley; Y Cohen; J Mintorovitch; L Chileuitt; H Shimizu; J Kucharczyk; M F Wendland; P R Weinstein
Journal:  Magn Reson Med       Date:  1990-05       Impact factor: 4.668

Review 2.  Is there a need to reclassify acute stroke patients?

Authors:  A Schwartz; A Gass; M G Hennerici
Journal:  Cerebrovasc Dis       Date:  1998-01       Impact factor: 2.762

3.  Multiple acute stroke syndrome: marker of embolic disease?

Authors:  A E Baird; K O Lövblad; G Schlaug; R R Edelman; S Warach
Journal:  Neurology       Date:  2000-02-08       Impact factor: 9.910

4.  The effect of variation in slice thickness and interslice gap on MR lesion detection.

Authors:  W G Bradley; B J Glenn
Journal:  AJNR Am J Neuroradiol       Date:  1987 Nov-Dec       Impact factor: 3.825

5.  Ischemic stroke: effects of etiology and patient age on the time course of the core apparent diffusion coefficient.

Authors:  W A Copen; L H Schwamm; R G González; O Wu; C B Harmath; P W Schaefer; W J Koroshetz; A G Sorensen
Journal:  Radiology       Date:  2001-10       Impact factor: 11.105

6.  Differences between gray matter and white matter water diffusion in stroke: diffusion-tensor MR imaging in 12 patients.

Authors:  P Mukherjee; M M Bahn; R C McKinstry; J S Shimony; T S Cull; E Akbudak; A Z Snyder; T E Conturo
Journal:  Radiology       Date:  2000-04       Impact factor: 11.105

7.  Accuracy of initial stroke subtype diagnosis in the TOAST study. Trial of ORG 10172 in Acute Stroke Treatment.

Authors:  K P Madden; P N Karanjia; H P Adams; W R Clarke
Journal:  Neurology       Date:  1995-11       Impact factor: 9.910

8.  Effect of intravenous gadolinium-DTPA on diffusion-weighted images: evaluation of normal brain and infarcts.

Authors:  Kei Yamada; Hiroshi Kubota; Osamu Kizu; Hisao Nakamura; Hirotoshi Ito; Sachiko Yuen; Osamu Tanaka; Takao Kubota; Masahiro Makino; Marc Van Cauteren; Tsunehiko Nishimura
Journal:  Stroke       Date:  2002-07       Impact factor: 7.914

9.  Can a clinical classification of stroke predict complications and treatments during hospitalization?

Authors:  A N Pinto; T P Melo; M E Lourenço; M J Leandro; A Brázio; L Carvalho; A S Franco; J M Ferro
Journal:  Cerebrovasc Dis       Date:  1998 Jul-Aug       Impact factor: 2.762

10.  Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment.

Authors:  H P Adams; B H Bendixen; L J Kappelle; J Biller; B B Love; D L Gordon; E E Marsh
Journal:  Stroke       Date:  1993-01       Impact factor: 7.914

View more
  5 in total

1.  Diagnosis of DWI-negative acute ischemic stroke: A meta-analysis.

Authors:  Brian L Edlow; Shelley Hurwitz; Jonathan A Edlow
Journal:  Neurology       Date:  2017-06-14       Impact factor: 9.910

2.  Oculomotor nerve palsy evaluated by diffusion-tensor tractography.

Authors:  Kei Yamada; Kensuke Shiga; Osamu Kizu; Hirotoshi Ito; Katsuhisa Akiyama; Masanori Nakagawa; Tsunehiko Nishimura
Journal:  Neuroradiology       Date:  2006-03-15       Impact factor: 2.804

3.  Multiple antiplatelet therapy contributes to the reversible high signal spots on diffusion-weighted imaging in elective coiling of unruptured cerebral aneurysm.

Authors:  Toshinori Matsushige; Yoshihiro Kiura; Shigeyuki Sakamoto; Takahito Okazaki; Katsuhiro Shinagawa; Nobuhiko Ichinose; Miyuki Takasu; Yuji Akiyama; Kazuhiko Sugiyama; Kaoru Kurisu
Journal:  Neuroradiology       Date:  2013-01-12       Impact factor: 2.804

4.  Long insular artery infarction: characteristics of a previously unrecognized entity.

Authors:  A Tamura; T Kasai; K Akazawa; Y Nagakane; T Yoshida; Y Fujiwara; N Kuriyama; K Yamada; T Mizuno; M Nakagawa
Journal:  AJNR Am J Neuroradiol       Date:  2013-08-22       Impact factor: 3.825

5.  Brain magnetic resonance imaging and cognitive alterations after ablation in patients with atrial fibrillation.

Authors:  Natsuko Kato; Kanako Muraga; Yoshinori Hirata; Akihiro Shindo; Keita Matsuura; Yuichiro Ii; Mariko Shiga; Ken-Ichi Tabei; Masayuki Satoh; Satoshi Fujita; Tomoyuki Fukuma; Yoshihiko Kagawa; Eitaro Fujii; Maki Umino; Masayuki Maeda; Hajime Sakuma; Masaaki Ito; Hidekazu Tomimoto
Journal:  Sci Rep       Date:  2021-09-23       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.