Literature DB >> 22290659

Mean cerebral blood flow measurements using phase contrast MRI in the first year of life.

Marta Varela1, Alan M Groves, Tomoki Arichi, Joseph V Hajnal.   

Abstract

Alterations in cerebral blood flow (CBF) are believed to be linked to many of the neurological pathologies that affect neonates and small infants. CBF measurements are nonetheless often difficult to perform in this population, as many techniques rely on radioactive tracers or other invasive methods. In this study, mean global CBF was measured in 21 infants under the age of one, using non-invasive MRI techniques adapted to the neonatal population. Mean CBF was computed as the ratio of blood flow delivered to the brain (measured using phase contrast MRI) and brain volume (computed by segmenting anatomical MR images). Tests in adult volunteers and repeated measurements showed the flow measurements using the proposed method to be both accurate and reproducible. It was also found that cardiac gating need not be employed in infants with no known cardiac pathology. The developed technique can easily be appended to a neonatal MRI examination to provide rapid, robust, and non-invasive estimates of mean CBF, thus providing a means to monitor developmental or pathology-related alterations in cerebral perfusion and the impact of different treatment courses. In the imaged cohort, mean CBF and flow to the brain were found to rapidly increase during the first year of life (from approx. 25 to 60 ml blood/100 ml tissue/min), in good agreement with literature from other modalities where available. Mean CBF also showed a significant correlation with arterial oxygen saturation level and heart rate, but no significant correlation was found between CBF and the hematocrit or body temperature.
Copyright © 2012 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22290659     DOI: 10.1002/nbm.2771

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  14 in total

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Review 2.  Magnetic resonance imaging based noninvasive measurements of brain hemodynamics in neonates: a review.

Authors:  Jill B De Vis; Thomas Alderliesten; Jeroen Hendrikse; Esben T Petersen; Manon J N L Benders
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3.  Characterization of MRI techniques to assess neonatal brain oxygenation and blood flow.

Authors:  Peiying Liu; Charlamaine Parkinson; Dengrong Jiang; Minhui Ouyang; Jill B De Vis; Frances J Northington; Aylin Tekes; Hao Huang; Thierry A G M Huisman; W Christopher Golden
Journal:  NMR Biomed       Date:  2019-04-30       Impact factor: 4.044

4.  Optimization of phase-contrast MRI for the quantification of whole-brain cerebral blood flow.

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Journal:  Neuroimage       Date:  2012-07-06       Impact factor: 6.556

7.  Longitudinal Trajectories of Regional Cerebral Blood Flow in Very Preterm Infants during Third Trimester Ex Utero Development Assessed with MRI.

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8.  Automatic and reproducible positioning of phase-contrast MRI for the quantification of global cerebral blood flow.

Authors:  Peiying Liu; Hanzhang Lu; Francesca M Filbey; Amy E Pinkham; Carrie J McAdams; Bryon Adinoff; Vamsi Daliparthi; Yan Cao
Journal:  PLoS One       Date:  2014-05-02       Impact factor: 3.240

Review 9.  Cerebral malaria in children: using the retina to study the brain.

Authors:  Ian J C MacCormick; Nicholas A V Beare; Terrie E Taylor; Valentina Barrera; Valerie A White; Paul Hiscott; Malcolm E Molyneux; Baljean Dhillon; Simon P Harding
Journal:  Brain       Date:  2014-02-26       Impact factor: 13.501

10.  Impaired development of the cerebral cortex in infants with congenital heart disease is correlated to reduced cerebral oxygen delivery.

Authors:  Christopher J Kelly; Antonios Makropoulos; Lucilio Cordero-Grande; Jana Hutter; Anthony Price; Emer Hughes; Maria Murgasova; Rui Pedro A G Teixeira; Johannes K Steinweg; Sagar Kulkarni; Loay Rahman; Hui Zhang; Daniel C Alexander; Kuberan Pushparajah; Daniel Rueckert; Joseph V Hajnal; John Simpson; A David Edwards; Mary A Rutherford; Serena J Counsell
Journal:  Sci Rep       Date:  2017-11-08       Impact factor: 4.379

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