CMR-based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic feature

Background: Right ventricular (RV) strain has provided valuable prognostic information for patients with cardiac amyloidosis (CA). However, the extent to which RV strain and strain rate can differentiate CA is not yet clinically established. CA underdiagnosis delays treatment strategies and exacerba...

Full description

Bibliographic Details
Main Authors: Jan Eckstein, Hermann Körperich, Elena Weise Valdés, Vanessa Sciacca, Lech Paluszkiewicz, Wolfgang Burchert, Martin Farr, Philipp Sommer, Christian Sohns, Misagh Piran
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:International Journal of Cardiology: Heart & Vasculature
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352906722002160
_version_ 1828042099469058048
author Jan Eckstein
Hermann Körperich
Elena Weise Valdés
Vanessa Sciacca
Lech Paluszkiewicz
Wolfgang Burchert
Martin Farr
Philipp Sommer
Christian Sohns
Misagh Piran
author_facet Jan Eckstein
Hermann Körperich
Elena Weise Valdés
Vanessa Sciacca
Lech Paluszkiewicz
Wolfgang Burchert
Martin Farr
Philipp Sommer
Christian Sohns
Misagh Piran
author_sort Jan Eckstein
collection DOAJ
description Background: Right ventricular (RV) strain has provided valuable prognostic information for patients with cardiac amyloidosis (CA). However, the extent to which RV strain and strain rate can differentiate CA is not yet clinically established. CA underdiagnosis delays treatment strategies and exacerbates patient prognosis. Aims: Evaluation of cardiac magnetic resonance (CMR) quantified RV global and regional strain of CA and HCM patients along with CA subtypes. Methods: CMR feature tracking attained longitudinal, radial and circumferential global and regional strain in 47 control subjects (CTRL), 43 CA-, 20 hypertrophic cardiomyopathy- (HCM) patients. CA patients were subdivided in 21 transthyretin-related amyloidosis (ATTR) and 20 acquired immunoglobulin light chain (AL) patients. Strain data and baseline clinical parameters were statistically analysed with respect to diagnostic performance and discriminatory power between the different clinical entities. Results: Effective differentiation of CA from HCM patients was achieved utilizing global longitudinal (GLS: 16.5 ± 3.9% vs. −21.3 ± 6.7%, p = 0.032), radial (GRS: 11.7 ± 5.3% vs. 16.5 ± 7.1%, p < 0.001) and circumferential (GCS: -7.6 ± 4.0% vs. −9.4 ± 4.4%, p = 0.015) right ventricular strain. Highest strain-based hypertrophic phenotype differentiation was attained using GRS (AUC = 0.86). Binomial regression found right ventricular ejection fraction (RV-EF) (p = 0.017) to be a significant predictor of CA-HCM differentiation. CA subtypes had comparable cardiac strains. Conclusion: CMR-derived RV global strains and various regional longitudinal strains provide discriminative radiological features for CA-HCM differentiation. However, in terms of feasibility, cine-derived RV-EF quantification may suffice for efficient differential diagnostic support.
first_indexed 2024-04-10T17:26:07Z
format Article
id doaj.art-996d8f845ed441a7b1177178167bfad9
institution Directory Open Access Journal
issn 2352-9067
language English
last_indexed 2024-04-10T17:26:07Z
publishDate 2023-02-01
publisher Elsevier
record_format Article
series International Journal of Cardiology: Heart & Vasculature
spelling doaj.art-996d8f845ed441a7b1177178167bfad92023-02-04T04:18:04ZengElsevierInternational Journal of Cardiology: Heart & Vasculature2352-90672023-02-0144101167CMR-based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic featureJan Eckstein0Hermann Körperich1Elena Weise Valdés2Vanessa Sciacca3Lech Paluszkiewicz4Wolfgang Burchert5Martin Farr6Philipp Sommer7Christian Sohns8Misagh Piran9Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, GermanyInstitute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany; Corresponding author at: Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Georgstr. 11, 32545 Bad Oeynhausen, Germany.Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, GermanyClinic for Electrophysiology, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, GermanyClinic for Thoracic and Cardiovascular Surgery, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, GermanyInstitute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, GermanyCardiogenetic Laboratory, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, GermanyClinic for Electrophysiology, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, GermanyClinic for Electrophysiology, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, GermanyInstitute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, GermanyBackground: Right ventricular (RV) strain has provided valuable prognostic information for patients with cardiac amyloidosis (CA). However, the extent to which RV strain and strain rate can differentiate CA is not yet clinically established. CA underdiagnosis delays treatment strategies and exacerbates patient prognosis. Aims: Evaluation of cardiac magnetic resonance (CMR) quantified RV global and regional strain of CA and HCM patients along with CA subtypes. Methods: CMR feature tracking attained longitudinal, radial and circumferential global and regional strain in 47 control subjects (CTRL), 43 CA-, 20 hypertrophic cardiomyopathy- (HCM) patients. CA patients were subdivided in 21 transthyretin-related amyloidosis (ATTR) and 20 acquired immunoglobulin light chain (AL) patients. Strain data and baseline clinical parameters were statistically analysed with respect to diagnostic performance and discriminatory power between the different clinical entities. Results: Effective differentiation of CA from HCM patients was achieved utilizing global longitudinal (GLS: 16.5 ± 3.9% vs. −21.3 ± 6.7%, p = 0.032), radial (GRS: 11.7 ± 5.3% vs. 16.5 ± 7.1%, p < 0.001) and circumferential (GCS: -7.6 ± 4.0% vs. −9.4 ± 4.4%, p = 0.015) right ventricular strain. Highest strain-based hypertrophic phenotype differentiation was attained using GRS (AUC = 0.86). Binomial regression found right ventricular ejection fraction (RV-EF) (p = 0.017) to be a significant predictor of CA-HCM differentiation. CA subtypes had comparable cardiac strains. Conclusion: CMR-derived RV global strains and various regional longitudinal strains provide discriminative radiological features for CA-HCM differentiation. However, in terms of feasibility, cine-derived RV-EF quantification may suffice for efficient differential diagnostic support.http://www.sciencedirect.com/science/article/pii/S2352906722002160Cardiovascular magnetic resonance imagingCardiac amyloidosisHypertrophic phenotypeGlobal and regional strainAmyloidosis subtypes
spellingShingle Jan Eckstein
Hermann Körperich
Elena Weise Valdés
Vanessa Sciacca
Lech Paluszkiewicz
Wolfgang Burchert
Martin Farr
Philipp Sommer
Christian Sohns
Misagh Piran
CMR-based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic feature
International Journal of Cardiology: Heart & Vasculature
Cardiovascular magnetic resonance imaging
Cardiac amyloidosis
Hypertrophic phenotype
Global and regional strain
Amyloidosis subtypes
title CMR-based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic feature
title_full CMR-based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic feature
title_fullStr CMR-based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic feature
title_full_unstemmed CMR-based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic feature
title_short CMR-based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic feature
title_sort cmr based right ventricular strain analysis in cardiac amyloidosis and its potential as a supportive diagnostic feature
topic Cardiovascular magnetic resonance imaging
Cardiac amyloidosis
Hypertrophic phenotype
Global and regional strain
Amyloidosis subtypes
url http://www.sciencedirect.com/science/article/pii/S2352906722002160
work_keys_str_mv AT janeckstein cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature
AT hermannkorperich cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature
AT elenaweisevaldes cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature
AT vanessasciacca cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature
AT lechpaluszkiewicz cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature
AT wolfgangburchert cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature
AT martinfarr cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature
AT philippsommer cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature
AT christiansohns cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature
AT misaghpiran cmrbasedrightventricularstrainanalysisincardiacamyloidosisanditspotentialasasupportivediagnosticfeature