Papers

Peer-reviewed
Nov, 2014

Regional Reliability of Quantitative Signal Targeting with Alternating Radiofrequency (STAR) Labeling of Arterial Regions (QUASAR)

JOURNAL OF NEUROIMAGING
  • Yasuko Tatewaki
  • ,
  • Shuichi Higano
  • ,
  • Yasuyuki Taki
  • ,
  • Benjamin Thyreau
  • ,
  • Takaki Murata
  • ,
  • Shunji Mugikura
  • ,
  • Daisuke Ito
  • ,
  • Kei Takase
  • ,
  • Shoki Takahashi

Volume
24
Number
6
First page
554
Last page
561
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1111/jon.12076
Publisher
WILEY-BLACKWELL

BACKGROUND AND PURPOSE
Quantitative signal targeting with alternating radiofrequency labeling of arterial regions (QUASAR) is a recent spin labeling technique that could improve the reliability of brain perfusion measurements. Although it is considered reliable for measuring gray matter as a whole, it has never been evaluated regionally. Here we assessed this regional reliability.
METHODS
Using a 3-Tesla Philips Achieva whole-body system, we scanned four times 10 healthy volunteers, in two sessions 2 weeks apart, to obtain QUASAR images. We computed perfusion images and ran a voxel-based analysis within all brain structures. We also calculated mean regional cerebral blood flow (rCBF) within regions of interest configured for each arterial territory distribution.
RESULTS
The mean CBF over whole gray matter was 37.74 with intraclass correlation coefficient (ICC) of.70. In white matter, it was 13.94 with an ICC of.30. Voxel-wise ICC and coefficient-of-variation maps showed relatively lower reliability in watershed areas and white matter especially in deeper white matter. The absolute mean rCBF values were consistent with the ones reported from PET, as was the relatively low variability in different feeding arteries.
CONCLUSIONS Thus, QUASAR reliability for regional perfusion is high within gray matter, but uncertain within white matter.

Link information
DOI
https://doi.org/10.1111/jon.12076
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/25370338
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000344354600004&DestApp=WOS_CPL
ID information
  • DOI : 10.1111/jon.12076
  • ISSN : 1051-2284
  • eISSN : 1552-6569
  • Pubmed ID : 25370338
  • Web of Science ID : WOS:000344354600004

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