• J Neuroimaging · Jul 2014

    Clinical experience of modified diffusion-weighted imaging protocol for lesion detection in transient global amnesia: an 8-year large-scale clinical study.

    • Jungeun Kim, Yooseok Kwon, Youngsoon Yang, Il Mi Jang, YoungHee Chang, Young Ho Park, Jae Won Jang, Jae Hyoung Kim, and SangYun Kim.
    • Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
    • J Neuroimaging. 2014 Jul 1;24(4):331-7.

    Background And PurposeThe detection rate of typical transient global amnesia (TGA) lesions on diffusion-weighted imaging (DWI) can be improved, up to 85% with optimal DWI parameters and imaging time. There is limited evidence that these findings are similar to those observed in large-scale consecutive patients with TGA in clinical practice.MethodsPatients with clinically diagnosed TGA underwent magnetic resonance imaging studies, consecutively, with three sets of DWI parameters (standard clinical DWI protocols, the TGA DWI protocol I and the TGA DWI protocol II) in which the resolution, slice thickness, and the time interval between symptom onset of DWI were varied over an 8-year period.ResultsTGA lesion detection rates were up to 88% with a modified TGA DWI protocol. The lesion detection rate was the highest using TGA DWI protocol I, with b = 3,000 s/mm(2), a slice thickness of 3 mm, and performed on the third day after symptom onset, and TGA DWI protocol II, with b = 2,000 s/mm(2) and a slice thickness of 2 mm.ConclusionsA modified TGA DWI protocols for detecting TGA lesions are useful in large-scale clinical practice for confirming the diagnosis of TGA patients with clinical findings.Copyright © 2013 by the American Society of Neuroimaging.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…