Cargando…
Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance
AIMS: Recently developed in-line automated cardiovascular magnetic resonance (CMR) myocardial perfusion mapping has been shown to be reproducible and comparable with positron emission tomography (PET), and can be easily integrated into clinical workflows. Bringing quantitative myocardial perfusion C...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029853/ https://www.ncbi.nlm.nih.gov/pubmed/36458882 http://dx.doi.org/10.1093/ehjci/jeac231 |
_version_ | 1784910227529793536 |
---|---|
author | Brown, Louise A E Gulsin, Gaurav S Onciul, Sebastian C Broadbent, David A Yeo, Jian L Wood, Alice L Saunderson, Christopher E D Das, Arka Jex, Nicholas Chowdhary, Amrit Thirunavukarasu, Sharmaine Sharrack, Noor Knott, Kristopher D Levelt, Eylem Swoboda, Peter P Xue, Hui Greenwood, John P Moon, James C Adlam, David McCann, Gerry P Kellman, Peter Plein, Sven |
author_facet | Brown, Louise A E Gulsin, Gaurav S Onciul, Sebastian C Broadbent, David A Yeo, Jian L Wood, Alice L Saunderson, Christopher E D Das, Arka Jex, Nicholas Chowdhary, Amrit Thirunavukarasu, Sharmaine Sharrack, Noor Knott, Kristopher D Levelt, Eylem Swoboda, Peter P Xue, Hui Greenwood, John P Moon, James C Adlam, David McCann, Gerry P Kellman, Peter Plein, Sven |
author_sort | Brown, Louise A E |
collection | PubMed |
description | AIMS: Recently developed in-line automated cardiovascular magnetic resonance (CMR) myocardial perfusion mapping has been shown to be reproducible and comparable with positron emission tomography (PET), and can be easily integrated into clinical workflows. Bringing quantitative myocardial perfusion CMR into routine clinical care requires knowledge of sex- and age-specific normal values in order to define thresholds for disease detection. This study aimed to establish sex- and age-specific normal values for stress and rest CMR myocardial blood flow (MBF) in healthy volunteers. METHODS AND RESULTS: A total of 151 healthy volunteers recruited from two centres underwent adenosine stress and rest myocardial perfusion CMR. In-line automatic reconstruction and post processing of perfusion data were implemented within the Gadgetron software framework, creating pixel-wise perfusion maps. Rest and stress MBF were measured, deriving myocardial perfusion reserve (MPR) and were subdivided by sex and age. Mean MBF in all subjects was 0.62 ± 0.13 mL/g/min at rest and 2.24 ± 0.53 mL/g/min during stress. Mean MPR was 3.74 ± 1.00. Compared with males, females had higher rest (0.69 ± 0.13 vs. 0.58 ± 0.12 mL/g/min, P < 0.01) and stress MBF (2.41 ± 0.47 vs. 2.13 ± 0.54 mL/g/min, P = 0.001). Stress MBF and MPR showed significant negative correlations with increasing age (r = −0.43, P < 0.001 and r = −0.34, P < 0.001, respectively). CONCLUSION: Fully automated in-line CMR myocardial perfusion mapping produces similar normal values to the published CMR and PET literature. There is a significant increase in rest and stress MBF, but not MPR, in females and a reduction of stress MBF and MPR with advancing age, advocating the use of sex- and age-specific reference ranges for diagnostic use. |
format | Online Article Text |
id | pubmed-10029853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-100298532023-03-22 Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance Brown, Louise A E Gulsin, Gaurav S Onciul, Sebastian C Broadbent, David A Yeo, Jian L Wood, Alice L Saunderson, Christopher E D Das, Arka Jex, Nicholas Chowdhary, Amrit Thirunavukarasu, Sharmaine Sharrack, Noor Knott, Kristopher D Levelt, Eylem Swoboda, Peter P Xue, Hui Greenwood, John P Moon, James C Adlam, David McCann, Gerry P Kellman, Peter Plein, Sven Eur Heart J Cardiovasc Imaging Original Paper AIMS: Recently developed in-line automated cardiovascular magnetic resonance (CMR) myocardial perfusion mapping has been shown to be reproducible and comparable with positron emission tomography (PET), and can be easily integrated into clinical workflows. Bringing quantitative myocardial perfusion CMR into routine clinical care requires knowledge of sex- and age-specific normal values in order to define thresholds for disease detection. This study aimed to establish sex- and age-specific normal values for stress and rest CMR myocardial blood flow (MBF) in healthy volunteers. METHODS AND RESULTS: A total of 151 healthy volunteers recruited from two centres underwent adenosine stress and rest myocardial perfusion CMR. In-line automatic reconstruction and post processing of perfusion data were implemented within the Gadgetron software framework, creating pixel-wise perfusion maps. Rest and stress MBF were measured, deriving myocardial perfusion reserve (MPR) and were subdivided by sex and age. Mean MBF in all subjects was 0.62 ± 0.13 mL/g/min at rest and 2.24 ± 0.53 mL/g/min during stress. Mean MPR was 3.74 ± 1.00. Compared with males, females had higher rest (0.69 ± 0.13 vs. 0.58 ± 0.12 mL/g/min, P < 0.01) and stress MBF (2.41 ± 0.47 vs. 2.13 ± 0.54 mL/g/min, P = 0.001). Stress MBF and MPR showed significant negative correlations with increasing age (r = −0.43, P < 0.001 and r = −0.34, P < 0.001, respectively). CONCLUSION: Fully automated in-line CMR myocardial perfusion mapping produces similar normal values to the published CMR and PET literature. There is a significant increase in rest and stress MBF, but not MPR, in females and a reduction of stress MBF and MPR with advancing age, advocating the use of sex- and age-specific reference ranges for diagnostic use. Oxford University Press 2022-12-02 /pmc/articles/PMC10029853/ /pubmed/36458882 http://dx.doi.org/10.1093/ehjci/jeac231 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Paper Brown, Louise A E Gulsin, Gaurav S Onciul, Sebastian C Broadbent, David A Yeo, Jian L Wood, Alice L Saunderson, Christopher E D Das, Arka Jex, Nicholas Chowdhary, Amrit Thirunavukarasu, Sharmaine Sharrack, Noor Knott, Kristopher D Levelt, Eylem Swoboda, Peter P Xue, Hui Greenwood, John P Moon, James C Adlam, David McCann, Gerry P Kellman, Peter Plein, Sven Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance |
title | Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance |
title_full | Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance |
title_fullStr | Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance |
title_full_unstemmed | Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance |
title_short | Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance |
title_sort | sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029853/ https://www.ncbi.nlm.nih.gov/pubmed/36458882 http://dx.doi.org/10.1093/ehjci/jeac231 |
work_keys_str_mv | AT brownlouiseae sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT gulsingauravs sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT onciulsebastianc sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT broadbentdavida sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT yeojianl sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT woodalicel sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT saundersonchristophered sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT dasarka sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT jexnicholas sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT chowdharyamrit sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT thirunavukarasusharmaine sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT sharracknoor sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT knottkristopherd sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT levelteylem sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT swobodapeterp sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT xuehui sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT greenwoodjohnp sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT moonjamesc sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT adlamdavid sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT mccanngerryp sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT kellmanpeter sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance AT pleinsven sexandagespecificnormalvaluesforautomatedquantitativepixelwisemyocardialperfusioncardiovascularmagneticresonance |