Cargando…

T(2) relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms

PURPOSE: Multi‐echo spin‐echo (MSE) transverse relaxometry mapping using multi‐component models is used to study disease activity in neuromuscular disease by assessing the T(2) of the myocytic component (T(2water)). Current extended phase graph algorithms are not optimized for fat fractions above 50...

Descripción completa

Detalles Bibliográficos
Autores principales: Keene, Kevin R., Beenakker, Jan‐Willem M., Hooijmans, Melissa T., Naarding, Karin J., Niks, Erik H., Otto, Louise A. M., van der Pol, W. Ludo, Tannemaat, Martijn R., Kan, Hermien E., Froeling, Martijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496817/
https://www.ncbi.nlm.nih.gov/pubmed/32306450
http://dx.doi.org/10.1002/mrm.28290
_version_ 1783583181454180352
author Keene, Kevin R.
Beenakker, Jan‐Willem M.
Hooijmans, Melissa T.
Naarding, Karin J.
Niks, Erik H.
Otto, Louise A. M.
van der Pol, W. Ludo
Tannemaat, Martijn R.
Kan, Hermien E.
Froeling, Martijn
author_facet Keene, Kevin R.
Beenakker, Jan‐Willem M.
Hooijmans, Melissa T.
Naarding, Karin J.
Niks, Erik H.
Otto, Louise A. M.
van der Pol, W. Ludo
Tannemaat, Martijn R.
Kan, Hermien E.
Froeling, Martijn
author_sort Keene, Kevin R.
collection PubMed
description PURPOSE: Multi‐echo spin‐echo (MSE) transverse relaxometry mapping using multi‐component models is used to study disease activity in neuromuscular disease by assessing the T(2) of the myocytic component (T(2water)). Current extended phase graph algorithms are not optimized for fat fractions above 50% and the effects of inaccuracies in the T(2fat) calibration remain unexplored. Hence, we aimed to improve the performance of extended phase graph fitting methods over a large range of fat fractions, by including the slice‐selection flip angle profile, a through‐plane chemical‐shift displacement correction, and optimized calibration of T(2fat). METHODS: Simulation experiments were used to study the influence of the slice flip‐angle profile with chemical‐shift and T(2fat) estimations. Next, in vivo data from four neuromuscular disease cohorts were studied for different T(2fat) calibration methods and T(2water) estimations. RESULTS: Excluding slice flip‐angle profiles or chemical‐shift displacement resulted in a bias in T(2water) up to 10 ms. Furthermore, a wrongly calibrated T(2fat) caused a bias of up to 4 ms in T(2water). For the in vivo data, one‐component calibration led to a lower T(2fat) compared with a two‐component method, and T(2water) decreased with increasing fat fractions. CONCLUSION: In vivo data showed a decline in T(2water) for increasing fat fractions, which has important implications for clinical studies, especially in multicenter settings. We recommend using an extended phase graph–based model for fitting T(2water) from MSE sequences with two‐component T(2fat) calibration. Moreover, we recommend including the slice flip‐angle profile in the model with correction for through‐plane chemical‐shift displacements.
format Online
Article
Text
id pubmed-7496817
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-74968172020-09-25 T(2) relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms Keene, Kevin R. Beenakker, Jan‐Willem M. Hooijmans, Melissa T. Naarding, Karin J. Niks, Erik H. Otto, Louise A. M. van der Pol, W. Ludo Tannemaat, Martijn R. Kan, Hermien E. Froeling, Martijn Magn Reson Med Full Papers—Preclinical and Clinical Imaging PURPOSE: Multi‐echo spin‐echo (MSE) transverse relaxometry mapping using multi‐component models is used to study disease activity in neuromuscular disease by assessing the T(2) of the myocytic component (T(2water)). Current extended phase graph algorithms are not optimized for fat fractions above 50% and the effects of inaccuracies in the T(2fat) calibration remain unexplored. Hence, we aimed to improve the performance of extended phase graph fitting methods over a large range of fat fractions, by including the slice‐selection flip angle profile, a through‐plane chemical‐shift displacement correction, and optimized calibration of T(2fat). METHODS: Simulation experiments were used to study the influence of the slice flip‐angle profile with chemical‐shift and T(2fat) estimations. Next, in vivo data from four neuromuscular disease cohorts were studied for different T(2fat) calibration methods and T(2water) estimations. RESULTS: Excluding slice flip‐angle profiles or chemical‐shift displacement resulted in a bias in T(2water) up to 10 ms. Furthermore, a wrongly calibrated T(2fat) caused a bias of up to 4 ms in T(2water). For the in vivo data, one‐component calibration led to a lower T(2fat) compared with a two‐component method, and T(2water) decreased with increasing fat fractions. CONCLUSION: In vivo data showed a decline in T(2water) for increasing fat fractions, which has important implications for clinical studies, especially in multicenter settings. We recommend using an extended phase graph–based model for fitting T(2water) from MSE sequences with two‐component T(2fat) calibration. Moreover, we recommend including the slice flip‐angle profile in the model with correction for through‐plane chemical‐shift displacements. John Wiley and Sons Inc. 2020-04-19 2020-11 /pmc/articles/PMC7496817/ /pubmed/32306450 http://dx.doi.org/10.1002/mrm.28290 Text en © 2020 The Authors. Magnetic Resonance in Medicine 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-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Full Papers—Preclinical and Clinical Imaging
Keene, Kevin R.
Beenakker, Jan‐Willem M.
Hooijmans, Melissa T.
Naarding, Karin J.
Niks, Erik H.
Otto, Louise A. M.
van der Pol, W. Ludo
Tannemaat, Martijn R.
Kan, Hermien E.
Froeling, Martijn
T(2) relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms
title T(2) relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms
title_full T(2) relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms
title_fullStr T(2) relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms
title_full_unstemmed T(2) relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms
title_short T(2) relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms
title_sort t(2) relaxation‐time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms
topic Full Papers—Preclinical and Clinical Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496817/
https://www.ncbi.nlm.nih.gov/pubmed/32306450
http://dx.doi.org/10.1002/mrm.28290
work_keys_str_mv AT keenekevinr t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms
AT beenakkerjanwillemm t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms
AT hooijmansmelissat t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms
AT naardingkarinj t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms
AT nikserikh t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms
AT ottolouiseam t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms
AT vanderpolwludo t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms
AT tannemaatmartijnr t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms
AT kanhermiene t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms
AT froelingmartijn t2relaxationtimemappinginhealthyanddiseasedskeletalmuscleusingextendedphasegraphalgorithms