Cargando…

Insights into diastolic function analyses using cardiac magnetic resonance imaging: impact of trabeculae and papillary muscles

BACKGROUND: This cardiovascular magnetic resonance (CMR) study investigates the impact of trabeculae and papillary muscles (TPM) on diastolic function parameters by differentiation of the time-volume curve. Differentiation causes additional problems, which is overcome by standardization. METHODS: Ci...

Descripción completa

Detalles Bibliográficos
Autores principales: Schoennagel, Bjoern P., Müllerleile, Kai, Tahir, Enver, Starekova, Jitka, Grosse, Regine, Yamamura, Jin, Bannas, Peter, Adam, Gerhard, Fischer, Roland
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566627/
https://www.ncbi.nlm.nih.gov/pubmed/34731305
http://dx.doi.org/10.1186/s13244-021-01104-4
_version_ 1784594055909343232
author Schoennagel, Bjoern P.
Müllerleile, Kai
Tahir, Enver
Starekova, Jitka
Grosse, Regine
Yamamura, Jin
Bannas, Peter
Adam, Gerhard
Fischer, Roland
author_facet Schoennagel, Bjoern P.
Müllerleile, Kai
Tahir, Enver
Starekova, Jitka
Grosse, Regine
Yamamura, Jin
Bannas, Peter
Adam, Gerhard
Fischer, Roland
author_sort Schoennagel, Bjoern P.
collection PubMed
description BACKGROUND: This cardiovascular magnetic resonance (CMR) study investigates the impact of trabeculae and papillary muscles (TPM) on diastolic function parameters by differentiation of the time-volume curve. Differentiation causes additional problems, which is overcome by standardization. METHODS: Cine steady-state free-precession imaging at 1.5 T was performed in 40 healthy volunteers stratified for age (age range 7–78y). LV time-volume curves were assessed by software-assisted delineation of endocardial contours from short axis slices applying two different methods: (1) inclusion of TPM into the myocardium and (2) inclusion of TPM into the LV cavity blood volume. Diastolic function was assessed from the differentiated time-volume curves defining the early and atrial peaks, their filling rates, filling volumes, and further dedicated diastolic measures, respectively. RESULTS: Only inclusion of TPM into the myocardium allowed precise assessment of early and atrial peak filling rates (EPFR, APFR) with clear distinction of EPFR and APFR expressed by the minimum between the early and atrial peak (EA(min)) (100% vs. 36% for EA(min) < 0.8). Prediction of peak filling rate ratios (PFRR) and filling volume ratios (FVR) by age was superior with inclusion of TPM into the myocardium compared to inclusion into the blood pool (r(2) = 0.85 vs. r(2) = 0.56 and r(2) = 0.89 vs. r(2) = 0.66). Standardization problems were overcome by the introduction of a third phase (mid-diastole, apart from diastole and systole) and fitting of the early and atrial peaks in the differentiated time-volume curve. CONCLUSIONS: Only LV volumetry with inclusion of TPM into the myocardium allows precise determination of diastolic measures and prevents methodological artifacts.
format Online
Article
Text
id pubmed-8566627
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-85666272021-11-15 Insights into diastolic function analyses using cardiac magnetic resonance imaging: impact of trabeculae and papillary muscles Schoennagel, Bjoern P. Müllerleile, Kai Tahir, Enver Starekova, Jitka Grosse, Regine Yamamura, Jin Bannas, Peter Adam, Gerhard Fischer, Roland Insights Imaging Original Article BACKGROUND: This cardiovascular magnetic resonance (CMR) study investigates the impact of trabeculae and papillary muscles (TPM) on diastolic function parameters by differentiation of the time-volume curve. Differentiation causes additional problems, which is overcome by standardization. METHODS: Cine steady-state free-precession imaging at 1.5 T was performed in 40 healthy volunteers stratified for age (age range 7–78y). LV time-volume curves were assessed by software-assisted delineation of endocardial contours from short axis slices applying two different methods: (1) inclusion of TPM into the myocardium and (2) inclusion of TPM into the LV cavity blood volume. Diastolic function was assessed from the differentiated time-volume curves defining the early and atrial peaks, their filling rates, filling volumes, and further dedicated diastolic measures, respectively. RESULTS: Only inclusion of TPM into the myocardium allowed precise assessment of early and atrial peak filling rates (EPFR, APFR) with clear distinction of EPFR and APFR expressed by the minimum between the early and atrial peak (EA(min)) (100% vs. 36% for EA(min) < 0.8). Prediction of peak filling rate ratios (PFRR) and filling volume ratios (FVR) by age was superior with inclusion of TPM into the myocardium compared to inclusion into the blood pool (r(2) = 0.85 vs. r(2) = 0.56 and r(2) = 0.89 vs. r(2) = 0.66). Standardization problems were overcome by the introduction of a third phase (mid-diastole, apart from diastole and systole) and fitting of the early and atrial peaks in the differentiated time-volume curve. CONCLUSIONS: Only LV volumetry with inclusion of TPM into the myocardium allows precise determination of diastolic measures and prevents methodological artifacts. Springer International Publishing 2021-11-03 /pmc/articles/PMC8566627/ /pubmed/34731305 http://dx.doi.org/10.1186/s13244-021-01104-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Schoennagel, Bjoern P.
Müllerleile, Kai
Tahir, Enver
Starekova, Jitka
Grosse, Regine
Yamamura, Jin
Bannas, Peter
Adam, Gerhard
Fischer, Roland
Insights into diastolic function analyses using cardiac magnetic resonance imaging: impact of trabeculae and papillary muscles
title Insights into diastolic function analyses using cardiac magnetic resonance imaging: impact of trabeculae and papillary muscles
title_full Insights into diastolic function analyses using cardiac magnetic resonance imaging: impact of trabeculae and papillary muscles
title_fullStr Insights into diastolic function analyses using cardiac magnetic resonance imaging: impact of trabeculae and papillary muscles
title_full_unstemmed Insights into diastolic function analyses using cardiac magnetic resonance imaging: impact of trabeculae and papillary muscles
title_short Insights into diastolic function analyses using cardiac magnetic resonance imaging: impact of trabeculae and papillary muscles
title_sort insights into diastolic function analyses using cardiac magnetic resonance imaging: impact of trabeculae and papillary muscles
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566627/
https://www.ncbi.nlm.nih.gov/pubmed/34731305
http://dx.doi.org/10.1186/s13244-021-01104-4
work_keys_str_mv AT schoennagelbjoernp insightsintodiastolicfunctionanalysesusingcardiacmagneticresonanceimagingimpactoftrabeculaeandpapillarymuscles
AT mullerleilekai insightsintodiastolicfunctionanalysesusingcardiacmagneticresonanceimagingimpactoftrabeculaeandpapillarymuscles
AT tahirenver insightsintodiastolicfunctionanalysesusingcardiacmagneticresonanceimagingimpactoftrabeculaeandpapillarymuscles
AT starekovajitka insightsintodiastolicfunctionanalysesusingcardiacmagneticresonanceimagingimpactoftrabeculaeandpapillarymuscles
AT grosseregine insightsintodiastolicfunctionanalysesusingcardiacmagneticresonanceimagingimpactoftrabeculaeandpapillarymuscles
AT yamamurajin insightsintodiastolicfunctionanalysesusingcardiacmagneticresonanceimagingimpactoftrabeculaeandpapillarymuscles
AT bannaspeter insightsintodiastolicfunctionanalysesusingcardiacmagneticresonanceimagingimpactoftrabeculaeandpapillarymuscles
AT adamgerhard insightsintodiastolicfunctionanalysesusingcardiacmagneticresonanceimagingimpactoftrabeculaeandpapillarymuscles
AT fischerroland insightsintodiastolicfunctionanalysesusingcardiacmagneticresonanceimagingimpactoftrabeculaeandpapillarymuscles