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Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods

OBJECTIVE: To compare the robustness of native T1 mapping using mean and median pixel-wise quantification methods. METHODS: Fifty-seven consecutive patients without overt signs of heart failure were examined in clinical routine for suspicion of cardiomyopathy. MRI included the acquisition of native...

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Autores principales: Triadyaksa, Pandji, Kuijpers, Dirkjan, Akinci D’Antonoli, Tugba, Overbosch, Jelle, Rook, Mieneke, van Swieten, J. Martijn, Oudkerk, Matthijs, Sijens, Paul E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890701/
https://www.ncbi.nlm.nih.gov/pubmed/31410603
http://dx.doi.org/10.1007/s00330-019-06364-9
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author Triadyaksa, Pandji
Kuijpers, Dirkjan
Akinci D’Antonoli, Tugba
Overbosch, Jelle
Rook, Mieneke
van Swieten, J. Martijn
Oudkerk, Matthijs
Sijens, Paul E.
author_facet Triadyaksa, Pandji
Kuijpers, Dirkjan
Akinci D’Antonoli, Tugba
Overbosch, Jelle
Rook, Mieneke
van Swieten, J. Martijn
Oudkerk, Matthijs
Sijens, Paul E.
author_sort Triadyaksa, Pandji
collection PubMed
description OBJECTIVE: To compare the robustness of native T1 mapping using mean and median pixel-wise quantification methods. METHODS: Fifty-seven consecutive patients without overt signs of heart failure were examined in clinical routine for suspicion of cardiomyopathy. MRI included the acquisition of native T1 maps by a motion-corrected modified Look-Locker inversion recovery sequence at 1.5 T. Heart function status according to four established volumetric left ventricular (LV) cardio MRI parameter thresholds was used for retrospective separation into subgroups of normal (n = 26) or abnormal heart function (n = 31). Statistical normality of pixel-wise T1 was tested on each myocardial segment and mean and median segmental T1 values were assessed. RESULTS: Segments with normally distributed pixel-wise T1 (57/58%) showed no difference between mean and median quantification in either patient group, while differences were highly significant (p < 0.001) for the respective 43/42% non-normally distributed segments. Heart function differentiation between two patient groups was significant in 14 myocardial segments (p < 0.001–0.040) by median quantification compared with six (p < 0.001–0.042) by using the mean. The differences by median quantification were observed between the native T1 values of the three coronary artery territories of normal heart function patients (p = 0.023) and insignificantly in the abnormal patients (p = 0.053). CONCLUSION: Median quantification increases the robustness of myocardial native T1 definition, regardless of statistical normality of the data. Compared with the currently prevailing method of mean quantification, differentiation between LV segments and coronary artery territories is better and allows for earlier detection of heart function impairment. KEY POINTS: • Median pixel-wise quantification of native T1 maps is robust and can be applied regardless of the statistical distribution of data points. • Median quantification is more sensitive to early heart function abnormality compared with mean quantification. • The new method yields significant native T1 value differentiation between the three coronary artery territories. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-019-06364-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-68907012019-12-26 Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods Triadyaksa, Pandji Kuijpers, Dirkjan Akinci D’Antonoli, Tugba Overbosch, Jelle Rook, Mieneke van Swieten, J. Martijn Oudkerk, Matthijs Sijens, Paul E. Eur Radiol Cardiac OBJECTIVE: To compare the robustness of native T1 mapping using mean and median pixel-wise quantification methods. METHODS: Fifty-seven consecutive patients without overt signs of heart failure were examined in clinical routine for suspicion of cardiomyopathy. MRI included the acquisition of native T1 maps by a motion-corrected modified Look-Locker inversion recovery sequence at 1.5 T. Heart function status according to four established volumetric left ventricular (LV) cardio MRI parameter thresholds was used for retrospective separation into subgroups of normal (n = 26) or abnormal heart function (n = 31). Statistical normality of pixel-wise T1 was tested on each myocardial segment and mean and median segmental T1 values were assessed. RESULTS: Segments with normally distributed pixel-wise T1 (57/58%) showed no difference between mean and median quantification in either patient group, while differences were highly significant (p < 0.001) for the respective 43/42% non-normally distributed segments. Heart function differentiation between two patient groups was significant in 14 myocardial segments (p < 0.001–0.040) by median quantification compared with six (p < 0.001–0.042) by using the mean. The differences by median quantification were observed between the native T1 values of the three coronary artery territories of normal heart function patients (p = 0.023) and insignificantly in the abnormal patients (p = 0.053). CONCLUSION: Median quantification increases the robustness of myocardial native T1 definition, regardless of statistical normality of the data. Compared with the currently prevailing method of mean quantification, differentiation between LV segments and coronary artery territories is better and allows for earlier detection of heart function impairment. KEY POINTS: • Median pixel-wise quantification of native T1 maps is robust and can be applied regardless of the statistical distribution of data points. • Median quantification is more sensitive to early heart function abnormality compared with mean quantification. • The new method yields significant native T1 value differentiation between the three coronary artery territories. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-019-06364-9) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-08-13 2020 /pmc/articles/PMC6890701/ /pubmed/31410603 http://dx.doi.org/10.1007/s00330-019-06364-9 Text en © The Author(s) 2019 Open Access This 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.
spellingShingle Cardiac
Triadyaksa, Pandji
Kuijpers, Dirkjan
Akinci D’Antonoli, Tugba
Overbosch, Jelle
Rook, Mieneke
van Swieten, J. Martijn
Oudkerk, Matthijs
Sijens, Paul E.
Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods
title Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods
title_full Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods
title_fullStr Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods
title_full_unstemmed Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods
title_short Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods
title_sort early detection of heart function abnormality by native t1: a comparison of two t1 quantification methods
topic Cardiac
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890701/
https://www.ncbi.nlm.nih.gov/pubmed/31410603
http://dx.doi.org/10.1007/s00330-019-06364-9
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