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Impact of the Choice of Native T(1) in Pixelwise Myocardial Blood Flow Quantification

BACKGROUND: Quantification of myocardial blood flow (MBF) from dynamic contrast‐enhanced (DCE) MRI can be performed using a signal intensity model that incorporates T(1) values of blood and myocardium. PURPOSE: To assess the impact of T(1) values on pixelwise MBF quantification, specifically to eval...

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Autores principales: Kräuter, Corina, Reiter, Ursula, Reiter, Clemens, Nizhnikava, Volha, Schmidt, Albrecht, Stollberger, Rudolf, Fuchsjäger, Michael, Reiter, Gert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891429/
https://www.ncbi.nlm.nih.gov/pubmed/33034120
http://dx.doi.org/10.1002/jmri.27375
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author Kräuter, Corina
Reiter, Ursula
Reiter, Clemens
Nizhnikava, Volha
Schmidt, Albrecht
Stollberger, Rudolf
Fuchsjäger, Michael
Reiter, Gert
author_facet Kräuter, Corina
Reiter, Ursula
Reiter, Clemens
Nizhnikava, Volha
Schmidt, Albrecht
Stollberger, Rudolf
Fuchsjäger, Michael
Reiter, Gert
author_sort Kräuter, Corina
collection PubMed
description BACKGROUND: Quantification of myocardial blood flow (MBF) from dynamic contrast‐enhanced (DCE) MRI can be performed using a signal intensity model that incorporates T(1) values of blood and myocardium. PURPOSE: To assess the impact of T(1) values on pixelwise MBF quantification, specifically to evaluate the influence of 1) study population‐averaged vs. subject‐specific, 2) diastolic vs. systolic, and 3) regional vs. global myocardial T(1) values. STUDY TYPE: Prospective. SUBJECTS: Fifteen patients with chronic coronary heart disease. FIELD STRENGTH/SEQUENCE: 3T; modified Look–Locker inversion recovery for T(1) mapping and saturation recovery gradient echo for DCE imaging, both acquired in a mid‐ventricular short‐axis slice in systole and diastole. ASSESSMENT: MBF was estimated using Fermi modeling and signal intensity nonlinearity correction with different T(1) values: study population‐averaged blood and myocardial, subject‐specific systolic and diastolic, and segmental T(1) values. Myocardial segments with perfusion deficits were identified visually from DCE series. STATISTICAL TESTS: The relationships between MBF parameters derived by different methods were analyzed by Bland–Altman analysis; corresponding mean values were compared by t‐test. RESULTS: Using subject‐specific diastolic T(1) values, global diastolic MBF was 0.61 ± 0.13 mL/(min·g). It did not differ from global MBF derived from the study population‐averaged T(1) (P = 0.88), but the standard deviation of differences was large (0.07 mL/(min·g), 11% of mean MBF). Global diastolic and systolic MBF did not differ (P = 0.12), whereas global diastolic MBF using systolic (0.62 ± 0.13 mL/(min·g)) and diastolic T(1) values differed (P < 0.05). If regional instead of global T(1) values were used, segmental MBF was lower in segments with perfusion deficits (bias = −0.03 mL/(min·g), −7% of mean MBF, P < 0.05) but higher in segments without perfusion deficits (bias = 0.01 mL/(min·g), 1% of mean MBF, P < 0.05). DATA CONCLUSION: Whereas cardiac phase‐specific T(1) values have a minor impact on MBF estimates, subject‐specific and myocardial segment‐specific T(1) values substantially affect MBF quantification. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 3
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spelling pubmed-78914292021-03-02 Impact of the Choice of Native T(1) in Pixelwise Myocardial Blood Flow Quantification Kräuter, Corina Reiter, Ursula Reiter, Clemens Nizhnikava, Volha Schmidt, Albrecht Stollberger, Rudolf Fuchsjäger, Michael Reiter, Gert J Magn Reson Imaging Original Research BACKGROUND: Quantification of myocardial blood flow (MBF) from dynamic contrast‐enhanced (DCE) MRI can be performed using a signal intensity model that incorporates T(1) values of blood and myocardium. PURPOSE: To assess the impact of T(1) values on pixelwise MBF quantification, specifically to evaluate the influence of 1) study population‐averaged vs. subject‐specific, 2) diastolic vs. systolic, and 3) regional vs. global myocardial T(1) values. STUDY TYPE: Prospective. SUBJECTS: Fifteen patients with chronic coronary heart disease. FIELD STRENGTH/SEQUENCE: 3T; modified Look–Locker inversion recovery for T(1) mapping and saturation recovery gradient echo for DCE imaging, both acquired in a mid‐ventricular short‐axis slice in systole and diastole. ASSESSMENT: MBF was estimated using Fermi modeling and signal intensity nonlinearity correction with different T(1) values: study population‐averaged blood and myocardial, subject‐specific systolic and diastolic, and segmental T(1) values. Myocardial segments with perfusion deficits were identified visually from DCE series. STATISTICAL TESTS: The relationships between MBF parameters derived by different methods were analyzed by Bland–Altman analysis; corresponding mean values were compared by t‐test. RESULTS: Using subject‐specific diastolic T(1) values, global diastolic MBF was 0.61 ± 0.13 mL/(min·g). It did not differ from global MBF derived from the study population‐averaged T(1) (P = 0.88), but the standard deviation of differences was large (0.07 mL/(min·g), 11% of mean MBF). Global diastolic and systolic MBF did not differ (P = 0.12), whereas global diastolic MBF using systolic (0.62 ± 0.13 mL/(min·g)) and diastolic T(1) values differed (P < 0.05). If regional instead of global T(1) values were used, segmental MBF was lower in segments with perfusion deficits (bias = −0.03 mL/(min·g), −7% of mean MBF, P < 0.05) but higher in segments without perfusion deficits (bias = 0.01 mL/(min·g), 1% of mean MBF, P < 0.05). DATA CONCLUSION: Whereas cardiac phase‐specific T(1) values have a minor impact on MBF estimates, subject‐specific and myocardial segment‐specific T(1) values substantially affect MBF quantification. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 3 John Wiley & Sons, Inc. 2020-10-08 2021-03 /pmc/articles/PMC7891429/ /pubmed/33034120 http://dx.doi.org/10.1002/jmri.27375 Text en © 2020 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the 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
Kräuter, Corina
Reiter, Ursula
Reiter, Clemens
Nizhnikava, Volha
Schmidt, Albrecht
Stollberger, Rudolf
Fuchsjäger, Michael
Reiter, Gert
Impact of the Choice of Native T(1) in Pixelwise Myocardial Blood Flow Quantification
title Impact of the Choice of Native T(1) in Pixelwise Myocardial Blood Flow Quantification
title_full Impact of the Choice of Native T(1) in Pixelwise Myocardial Blood Flow Quantification
title_fullStr Impact of the Choice of Native T(1) in Pixelwise Myocardial Blood Flow Quantification
title_full_unstemmed Impact of the Choice of Native T(1) in Pixelwise Myocardial Blood Flow Quantification
title_short Impact of the Choice of Native T(1) in Pixelwise Myocardial Blood Flow Quantification
title_sort impact of the choice of native t(1) in pixelwise myocardial blood flow quantification
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891429/
https://www.ncbi.nlm.nih.gov/pubmed/33034120
http://dx.doi.org/10.1002/jmri.27375
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