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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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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. |
format | Online Article Text |
id | pubmed-6890701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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