| Cerebral border zones between distal end branches of intracranial arteries: MR imaging. | |
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MedLine Citation:
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PMID: 18055872 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This study had institutional review board approval; informed consent was obtained from all participants. The study purpose was to prospectively determine whether a longer arterial transit time (ATT), from the proximal vasculature in the neck toward the distal end branches of the intracranial arteries, can be utilized to identify cerebral border zone regions. A magnetic resonance (MR) imaging method based on noninvasive arterial spin-labeling (ASL) perfusion MR imaging with image acquisition at a series of increasing delay times was used to quantify regional ATTs. Fifteen healthy volunteers (age range, 22-34 years; nine men, six women) were included. ASL perfusion MR imaging demonstrated an increase in ATT in the cerebral border zone regions, extending from the frontal and occipital horns of the lateral ventricle to the frontal and parietooccipital cortices, relative to ATT in non-border zone regions. Cerebral blood flow and arterial blood volume in these anterior and posterior border zone regions were significantly lower (P < .001) than in non-border zone regions. |
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Authors:
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Jeroen Hendrikse; Esben Thade Petersen; Peter Jan van Laar; Xavier Golay |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2007-11-30 |
Journal Detail:
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Title: Radiology Volume: 246 ISSN: 1527-1315 ISO Abbreviation: Radiology Publication Date: 2008 Feb |
Date Detail:
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Created Date: 2008-01-31 Completed Date: 2008-02-25 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0401260 Medline TA: Radiology Country: United States |
Other Details:
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Languages: eng Pagination: 572-80 Citation Subset: AIM; IM |
Copyright Information:
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(c) RSNA, 2007. |
Affiliation:
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Department of Radiology, University Medical Center Utrecht, Hp E 01.132, PO Box 85500, 3508 GA Utrecht, the Netherlands. j.hendrikse@umcutrecht.nl |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Algorithms Artificial Intelligence Cerebral Arteries / anatomy & histology* Cerebral Cortex / blood supply* Female Humans Image Enhancement / methods* Image Interpretation, Computer-Assisted / methods* Imaging, Three-Dimensional / methods* Magnetic Resonance Imaging / methods* Male Pattern Recognition, Automated / methods* Reproducibility of Results Sensitivity and Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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