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Extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling: Ready for prime time?

BACKGROUND: Myocardial tissue characterization by cardiovascular magnetic resonance (CMR) T1 mapping currently receives increasing interest as a diagnostic tool in various disease settings. The T1-mapping technique allows non-invasive estimation of myocardial extracellular volume (ECV) using T1-time...

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Autores principales: Kammerlander, Andreas A., Duca, Franz, Binder, Christina, Aschauer, Stefan, Zotter-Tufaro, Caroline, Koschutnik, Matthias, Marzluf, Beatrice A., Bonderman, Diana, Mascherbauer, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978936/
https://www.ncbi.nlm.nih.gov/pubmed/28980127
http://dx.doi.org/10.1007/s00508-017-1267-y
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author Kammerlander, Andreas A.
Duca, Franz
Binder, Christina
Aschauer, Stefan
Zotter-Tufaro, Caroline
Koschutnik, Matthias
Marzluf, Beatrice A.
Bonderman, Diana
Mascherbauer, Julia
author_facet Kammerlander, Andreas A.
Duca, Franz
Binder, Christina
Aschauer, Stefan
Zotter-Tufaro, Caroline
Koschutnik, Matthias
Marzluf, Beatrice A.
Bonderman, Diana
Mascherbauer, Julia
author_sort Kammerlander, Andreas A.
collection PubMed
description BACKGROUND: Myocardial tissue characterization by cardiovascular magnetic resonance (CMR) T1 mapping currently receives increasing interest as a diagnostic tool in various disease settings. The T1-mapping technique allows non-invasive estimation of myocardial extracellular volume (ECV) using T1-times before and after gadolinium administration; however, for calculation of the myocardial ECV the hematocrit is needed, which limits its utility in routine application. Recently, the alternative use of the blood pool T1-time instead of the hematocrit has been described. METHODS: The results of CMR T1 mapping data of 513 consecutive patients were analyzed for this study. Blood for hematocrit measurement was drawn when placing the i. v. line for contrast agent administration. Data from the first 200 consecutive patients (derivation cohort) were used to establish a regression formula allowing synthetic hematocrit calculation, which was then validated in the following 313 patients (validation cohort). Synthetic ECV was calculated using synthetic hematocrit, and was compared with conventionally derived ECV. RESULTS: Among the entire cohort of 513 patients (mean age 57.4 ± 17.5 years old, 49.1% female) conventionally measured hematocrit was 39.9 ± 4.7% and native blood pool T1-time was 1570.6 ± 117.8 ms. Hematocrit and relaxivity of blood (R1 = 1/blood pool T1 time) were significantly correlated (r = 0.533, r(2) = 0.284, p < 0.001). By linear regression analysis, the following formula was developed from the derivation cohort: synthetic hematocrit = 628.5 × R1 − 0.002. Synthetic and conventional hematocrit as well as ECV showed significant correlation in the validation (r = 0.533, r(2) = 0.284, p < 0.001 and r = 0.943, r(2) = 0.889, p < 0.001, respectively) as well as the overall cohort (r = 0.552, r(2) = 0.305, p < 0.001 and r = 0.957, r(2) = 0,916, p < 0.001). By Bland Altman analysis, good agreement between conventional and synthetic ECV was found in the validation cohort (mean difference: 0.007%, limits of agreement: −4.32 and 4.33%, respectively). CONCLUSION: Synthetic ECV using native blood pool T1-times to calculate the hematocrit, is feasible and leads to almost identical results in comparison with the conventional method. It may allow fully automatic ECV-mapping and thus enable broader use of ECV by CMR T1 mapping in clinical practice.
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spelling pubmed-59789362018-06-21 Extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling: Ready for prime time? Kammerlander, Andreas A. Duca, Franz Binder, Christina Aschauer, Stefan Zotter-Tufaro, Caroline Koschutnik, Matthias Marzluf, Beatrice A. Bonderman, Diana Mascherbauer, Julia Wien Klin Wochenschr Original Article BACKGROUND: Myocardial tissue characterization by cardiovascular magnetic resonance (CMR) T1 mapping currently receives increasing interest as a diagnostic tool in various disease settings. The T1-mapping technique allows non-invasive estimation of myocardial extracellular volume (ECV) using T1-times before and after gadolinium administration; however, for calculation of the myocardial ECV the hematocrit is needed, which limits its utility in routine application. Recently, the alternative use of the blood pool T1-time instead of the hematocrit has been described. METHODS: The results of CMR T1 mapping data of 513 consecutive patients were analyzed for this study. Blood for hematocrit measurement was drawn when placing the i. v. line for contrast agent administration. Data from the first 200 consecutive patients (derivation cohort) were used to establish a regression formula allowing synthetic hematocrit calculation, which was then validated in the following 313 patients (validation cohort). Synthetic ECV was calculated using synthetic hematocrit, and was compared with conventionally derived ECV. RESULTS: Among the entire cohort of 513 patients (mean age 57.4 ± 17.5 years old, 49.1% female) conventionally measured hematocrit was 39.9 ± 4.7% and native blood pool T1-time was 1570.6 ± 117.8 ms. Hematocrit and relaxivity of blood (R1 = 1/blood pool T1 time) were significantly correlated (r = 0.533, r(2) = 0.284, p < 0.001). By linear regression analysis, the following formula was developed from the derivation cohort: synthetic hematocrit = 628.5 × R1 − 0.002. Synthetic and conventional hematocrit as well as ECV showed significant correlation in the validation (r = 0.533, r(2) = 0.284, p < 0.001 and r = 0.943, r(2) = 0.889, p < 0.001, respectively) as well as the overall cohort (r = 0.552, r(2) = 0.305, p < 0.001 and r = 0.957, r(2) = 0,916, p < 0.001). By Bland Altman analysis, good agreement between conventional and synthetic ECV was found in the validation cohort (mean difference: 0.007%, limits of agreement: −4.32 and 4.33%, respectively). CONCLUSION: Synthetic ECV using native blood pool T1-times to calculate the hematocrit, is feasible and leads to almost identical results in comparison with the conventional method. It may allow fully automatic ECV-mapping and thus enable broader use of ECV by CMR T1 mapping in clinical practice. Springer Vienna 2017-10-04 2018 /pmc/articles/PMC5978936/ /pubmed/28980127 http://dx.doi.org/10.1007/s00508-017-1267-y Text en © The Author(s) 2017 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 Original Article
Kammerlander, Andreas A.
Duca, Franz
Binder, Christina
Aschauer, Stefan
Zotter-Tufaro, Caroline
Koschutnik, Matthias
Marzluf, Beatrice A.
Bonderman, Diana
Mascherbauer, Julia
Extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling: Ready for prime time?
title Extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling: Ready for prime time?
title_full Extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling: Ready for prime time?
title_fullStr Extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling: Ready for prime time?
title_full_unstemmed Extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling: Ready for prime time?
title_short Extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling: Ready for prime time?
title_sort extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling: ready for prime time?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978936/
https://www.ncbi.nlm.nih.gov/pubmed/28980127
http://dx.doi.org/10.1007/s00508-017-1267-y
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