Cerebral blood flow mapping using stable Xenon-enhanced CT in sickle cell cerebrovascular disease |
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Authors: | Y. Numaguchi J. S. Haller J. R. Humbert A. E. Robinson W. W. Lindstrom L. M. Gruenauer J. E. Carey |
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Affiliation: | (1) Department of Radiology, Tulane University Medical Center, New Orleans, Louisiana, USA;(2) Department of Psychiatry and Neurology, Tulane University Medical Center, New Orleans, Louisiana, USA;(3) Department of Pediatrics, Tulane University Medical Center, New Orleans, Louisiana, USA;(4) Picker International Research Laboratories, Highland Heights, Ohio, USA;(5) Present address: Department of Radiology, University of Maryland Medical System/Hospital, Baltimore, Maryland, USA;(6) Present address: Section of Child Neurology, Albany Medical College, Albany, NY, USA |
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Abstract: | Summary The cerebral blood flow (CBF) of 25 patients with sickle cell cerebrovascular disease (SCCVD) was examined using a Xenon-CT flow mapping method. Brain CT and MR findings were correlated with those of the Xenon-CT flow studies. CBF defects on Xenon-CT correlated reasonably well with the areas of cortical infarctions on the MR images, but in 27% of the cases, flow defects were slightly larger than the areas of infarctions on the MR images. In deep watershed or basal ganglia infarctions, abnormal CBF was noted about the cerebral cortex near infarctions in 72% of the patients, regardless of infarction sizes on the MR images. However, decreased CBF was recognized in 4 of the 9 children whose MR images were virtually normal. Thus, the extent of flow depletion cannot be predicted accurately by MR imaging alone. Xenon-CT flow mapping proved a safe and reliable procedure for evaluation of the CBF of patients with SCCVD. Although this study is preliminary, it may have a potential in selecting patients for hypertransfusion therapy, as a noninvasive test and for following children with SCCVD during their therapy. Careful correlation of results of CBF with those of MR imaging or of CT is important for objective interpretations of flow mapping images. |
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Keywords: | Brain infarctions Sickle cell disease Cerebral blood flow Xenon-CT MRI |
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