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Arterial input function and gray matter cerebral blood volume measurements in children

PURPOSE: To investigate how arterial input functions (AIFs) vary with age in children and compare the use of individual and population AIFs for calculating gray matter CBV values. Quantitative measures of cerebral blood volume (CBV) using dynamic susceptibility contrast (DSC) magnetic resonance imag...

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Autores principales: Withey, Stephanie B., Novak, Jan, MacPherson, Lesley, Peet, Andrew C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864447/
https://www.ncbi.nlm.nih.gov/pubmed/26514288
http://dx.doi.org/10.1002/jmri.25060
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author Withey, Stephanie B.
Novak, Jan
MacPherson, Lesley
Peet, Andrew C.
author_facet Withey, Stephanie B.
Novak, Jan
MacPherson, Lesley
Peet, Andrew C.
author_sort Withey, Stephanie B.
collection PubMed
description PURPOSE: To investigate how arterial input functions (AIFs) vary with age in children and compare the use of individual and population AIFs for calculating gray matter CBV values. Quantitative measures of cerebral blood volume (CBV) using dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) require measurement of an AIF. AIFs are affected by numerous factors including patient age. Few data presenting AIFs in the pediatric population exists. MATERIALS AND METHODS: Twenty‐two previously treated pediatric brain tumor patients (mean age, 6.3 years; range, 2.0–15.3 years) underwent DSC‐MRI scans on a 3T MRI scanner over 36 visits. AIFs were measured in the middle cerebral artery. A functional form of an adult population AIF was fitted to each AIF to obtain parameters reflecting AIF shape. The relationship between parameters and age was assessed. Correlations between gray matter CBV values calculated using the resulting population and individual patient AIFs were explored. RESULTS: There was a large variation in individual patient AIFs but correlations between AIF shape and age were observed. The center (r = 0.596, P < 0.001) and width of the first‐pass peak (r = 0.441, P = 0.007) were found to correlate significantly with age. Intrapatient coefficients of variation were significantly lower than interpatient values for all parameters (P < 0.001). Differences in CBV values calculated with an overall population and age‐specific population AIF compared to those calculated with individual AIFs were 31.3% and 31.0%, respectively. CONCLUSION: Parameters describing AIF shape correlate with patient age in line with expected changes in cardiac output. In pediatric DSC‐MRI studies individual patient AIFs are recommended. J. Magn. Reson. Imaging 2016;43:981–989
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spelling pubmed-48644472016-06-24 Arterial input function and gray matter cerebral blood volume measurements in children Withey, Stephanie B. Novak, Jan MacPherson, Lesley Peet, Andrew C. J Magn Reson Imaging Original Research – Pediatrics PURPOSE: To investigate how arterial input functions (AIFs) vary with age in children and compare the use of individual and population AIFs for calculating gray matter CBV values. Quantitative measures of cerebral blood volume (CBV) using dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) require measurement of an AIF. AIFs are affected by numerous factors including patient age. Few data presenting AIFs in the pediatric population exists. MATERIALS AND METHODS: Twenty‐two previously treated pediatric brain tumor patients (mean age, 6.3 years; range, 2.0–15.3 years) underwent DSC‐MRI scans on a 3T MRI scanner over 36 visits. AIFs were measured in the middle cerebral artery. A functional form of an adult population AIF was fitted to each AIF to obtain parameters reflecting AIF shape. The relationship between parameters and age was assessed. Correlations between gray matter CBV values calculated using the resulting population and individual patient AIFs were explored. RESULTS: There was a large variation in individual patient AIFs but correlations between AIF shape and age were observed. The center (r = 0.596, P < 0.001) and width of the first‐pass peak (r = 0.441, P = 0.007) were found to correlate significantly with age. Intrapatient coefficients of variation were significantly lower than interpatient values for all parameters (P < 0.001). Differences in CBV values calculated with an overall population and age‐specific population AIF compared to those calculated with individual AIFs were 31.3% and 31.0%, respectively. CONCLUSION: Parameters describing AIF shape correlate with patient age in line with expected changes in cardiac output. In pediatric DSC‐MRI studies individual patient AIFs are recommended. J. Magn. Reson. Imaging 2016;43:981–989 John Wiley and Sons Inc. 2015-10-30 2016-04 /pmc/articles/PMC4864447/ /pubmed/26514288 http://dx.doi.org/10.1002/jmri.25060 Text en © 2015 The Authors Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research – Pediatrics
Withey, Stephanie B.
Novak, Jan
MacPherson, Lesley
Peet, Andrew C.
Arterial input function and gray matter cerebral blood volume measurements in children
title Arterial input function and gray matter cerebral blood volume measurements in children
title_full Arterial input function and gray matter cerebral blood volume measurements in children
title_fullStr Arterial input function and gray matter cerebral blood volume measurements in children
title_full_unstemmed Arterial input function and gray matter cerebral blood volume measurements in children
title_short Arterial input function and gray matter cerebral blood volume measurements in children
title_sort arterial input function and gray matter cerebral blood volume measurements in children
topic Original Research – Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864447/
https://www.ncbi.nlm.nih.gov/pubmed/26514288
http://dx.doi.org/10.1002/jmri.25060
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