Cargando…

Validation of T2* in-line analysis for tissue iron quantification at 1.5 T

BACKGROUND: There is a need for improved worldwide access to tissue iron quantification using T2* cardiovascular magnetic resonance (CMR). One route to facilitate this would be simple in-line T2* analysis widely available on MR scanners. We therefore compared our clinically validated and established...

Descripción completa

Detalles Bibliográficos
Autores principales: Alam, Mohammed H., He, Taigang, Auger, Dominique, Smith, Gillian C., Drivas, Peter, Wage, Rick, Izgi, Cemil, Symmonds, Karen, Greiser, Andreas, Spottiswoode, Bruce S., Anderson, Lisa, Firmin, David, Pennell, Dudley J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847205/
https://www.ncbi.nlm.nih.gov/pubmed/27121114
http://dx.doi.org/10.1186/s12968-016-0243-4
_version_ 1782429166303444992
author Alam, Mohammed H.
He, Taigang
Auger, Dominique
Smith, Gillian C.
Drivas, Peter
Wage, Rick
Izgi, Cemil
Symmonds, Karen
Greiser, Andreas
Spottiswoode, Bruce S.
Anderson, Lisa
Firmin, David
Pennell, Dudley J.
author_facet Alam, Mohammed H.
He, Taigang
Auger, Dominique
Smith, Gillian C.
Drivas, Peter
Wage, Rick
Izgi, Cemil
Symmonds, Karen
Greiser, Andreas
Spottiswoode, Bruce S.
Anderson, Lisa
Firmin, David
Pennell, Dudley J.
author_sort Alam, Mohammed H.
collection PubMed
description BACKGROUND: There is a need for improved worldwide access to tissue iron quantification using T2* cardiovascular magnetic resonance (CMR). One route to facilitate this would be simple in-line T2* analysis widely available on MR scanners. We therefore compared our clinically validated and established T2* method at Royal Brompton Hospital (RBH T2*) against a novel work-in-progress (WIP) sequence with in-line T2* measurement from Siemens (WIP T2*). METHODS: Healthy volunteers (n = 22) and patients with iron overload (n = 78) were recruited (53 males, median age 34 years). A 1.5 T study (Magnetom Avanto, Siemens) was performed on all subjects. The same mid-ventricular short axis cardiac slice and transaxial slice through the liver were used to acquire both RBH T2* images and WIP T2* maps for each participant. Cardiac white blood (WB) and black blood (BB) sequences were acquired. Intraobserver, interobserver and interstudy reproducibility were measured on the same data from a subset of 20 participants. RESULTS: Liver T2* values ranged from 0.8 to 35.7 ms (median 5.1 ms) and cardiac T2* values from 6.0 to 52.3 ms (median 31 ms). The coefficient of variance (CoV) values for direct comparison of T2* values by RBH and WIP were 6.1–7.8 % across techniques. Accurate delineation of the septum was difficult on some WIP T2* maps due to artefacts. The inability to manually correct for noise by truncation of erroneous later echo times led to some overestimation of T2* using WIP T2* compared with the RBH T2*. Reproducibility CoV results for RBH T2* ranged from 1.5 to 5.7 % which were better than the reproducibility of WIP T2* values of 4.1–16.6 %. CONCLUSIONS: Iron estimation using the T2* CMR sequence in combination with Siemens’ in-line data processing is generally satisfactory and may help facilitate global access to tissue iron assessment. The current automated T2* map technique is less good for tissue iron assessment with noisy data at low T2* values.
format Online
Article
Text
id pubmed-4847205
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-48472052016-04-28 Validation of T2* in-line analysis for tissue iron quantification at 1.5 T Alam, Mohammed H. He, Taigang Auger, Dominique Smith, Gillian C. Drivas, Peter Wage, Rick Izgi, Cemil Symmonds, Karen Greiser, Andreas Spottiswoode, Bruce S. Anderson, Lisa Firmin, David Pennell, Dudley J. J Cardiovasc Magn Reson Research BACKGROUND: There is a need for improved worldwide access to tissue iron quantification using T2* cardiovascular magnetic resonance (CMR). One route to facilitate this would be simple in-line T2* analysis widely available on MR scanners. We therefore compared our clinically validated and established T2* method at Royal Brompton Hospital (RBH T2*) against a novel work-in-progress (WIP) sequence with in-line T2* measurement from Siemens (WIP T2*). METHODS: Healthy volunteers (n = 22) and patients with iron overload (n = 78) were recruited (53 males, median age 34 years). A 1.5 T study (Magnetom Avanto, Siemens) was performed on all subjects. The same mid-ventricular short axis cardiac slice and transaxial slice through the liver were used to acquire both RBH T2* images and WIP T2* maps for each participant. Cardiac white blood (WB) and black blood (BB) sequences were acquired. Intraobserver, interobserver and interstudy reproducibility were measured on the same data from a subset of 20 participants. RESULTS: Liver T2* values ranged from 0.8 to 35.7 ms (median 5.1 ms) and cardiac T2* values from 6.0 to 52.3 ms (median 31 ms). The coefficient of variance (CoV) values for direct comparison of T2* values by RBH and WIP were 6.1–7.8 % across techniques. Accurate delineation of the septum was difficult on some WIP T2* maps due to artefacts. The inability to manually correct for noise by truncation of erroneous later echo times led to some overestimation of T2* using WIP T2* compared with the RBH T2*. Reproducibility CoV results for RBH T2* ranged from 1.5 to 5.7 % which were better than the reproducibility of WIP T2* values of 4.1–16.6 %. CONCLUSIONS: Iron estimation using the T2* CMR sequence in combination with Siemens’ in-line data processing is generally satisfactory and may help facilitate global access to tissue iron assessment. The current automated T2* map technique is less good for tissue iron assessment with noisy data at low T2* values. BioMed Central 2016-04-27 /pmc/articles/PMC4847205/ /pubmed/27121114 http://dx.doi.org/10.1186/s12968-016-0243-4 Text en © Alam et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Alam, Mohammed H.
He, Taigang
Auger, Dominique
Smith, Gillian C.
Drivas, Peter
Wage, Rick
Izgi, Cemil
Symmonds, Karen
Greiser, Andreas
Spottiswoode, Bruce S.
Anderson, Lisa
Firmin, David
Pennell, Dudley J.
Validation of T2* in-line analysis for tissue iron quantification at 1.5 T
title Validation of T2* in-line analysis for tissue iron quantification at 1.5 T
title_full Validation of T2* in-line analysis for tissue iron quantification at 1.5 T
title_fullStr Validation of T2* in-line analysis for tissue iron quantification at 1.5 T
title_full_unstemmed Validation of T2* in-line analysis for tissue iron quantification at 1.5 T
title_short Validation of T2* in-line analysis for tissue iron quantification at 1.5 T
title_sort validation of t2* in-line analysis for tissue iron quantification at 1.5 t
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847205/
https://www.ncbi.nlm.nih.gov/pubmed/27121114
http://dx.doi.org/10.1186/s12968-016-0243-4
work_keys_str_mv AT alammohammedh validationoft2inlineanalysisfortissueironquantificationat15t
AT hetaigang validationoft2inlineanalysisfortissueironquantificationat15t
AT augerdominique validationoft2inlineanalysisfortissueironquantificationat15t
AT smithgillianc validationoft2inlineanalysisfortissueironquantificationat15t
AT drivaspeter validationoft2inlineanalysisfortissueironquantificationat15t
AT wagerick validationoft2inlineanalysisfortissueironquantificationat15t
AT izgicemil validationoft2inlineanalysisfortissueironquantificationat15t
AT symmondskaren validationoft2inlineanalysisfortissueironquantificationat15t
AT greiserandreas validationoft2inlineanalysisfortissueironquantificationat15t
AT spottiswoodebruces validationoft2inlineanalysisfortissueironquantificationat15t
AT andersonlisa validationoft2inlineanalysisfortissueironquantificationat15t
AT firmindavid validationoft2inlineanalysisfortissueironquantificationat15t
AT pennelldudleyj validationoft2inlineanalysisfortissueironquantificationat15t