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

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          Abstract

          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.

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          Most cited references21

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          2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC).

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            2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathy

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              ROC-ing along: Evaluation and interpretation of receiver operating characteristic curves.

              It is vital for clinicians to understand and interpret correctly medical statistics as used in clinical studies. In this review, we address current issues and focus on delivering a simple, yet comprehensive, explanation of common research methodology involving receiver operating characteristic (ROC) curves. ROC curves are used most commonly in medicine as a means of evaluating diagnostic tests.
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                Author and article information

                Contributors
                Journal
                Int J Cardiol Heart Vasc
                Int J Cardiol Heart Vasc
                International Journal of Cardiology. Heart & Vasculature
                Elsevier
                2352-9067
                28 December 2022
                February 2023
                28 December 2022
                : 44
                : 101167
                Affiliations
                [a ]Institute for Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany
                [b ]Clinic for Electrophysiology, Heart and Diabetes Center North Rhine Westphalia, Bad Oeynhausen, University of Bochum, Germany
                [c ]Clinic for Thoracic and Cardiovascular Surgery, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
                [d ]Cardiogenetic Laboratory, Heart and Diabetes Center North-Rhine Westphalia, Ruhr-University of Bochum, Bad Oeynhausen, Germany
                Author notes
                [* ]Corresponding author at: Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Georgstr. 11, 32545 Bad Oeynhausen, Germany. hkoerperich@ 123456hdz-nrw.de
                Article
                S2352-9067(22)00216-0 101167
                10.1016/j.ijcha.2022.101167
                9827025
                36632287
                1e3edca8-b9be-429b-9049-6b8be1a0a6cb
                © 2023 The Authors. Published by Elsevier B.V.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 17 July 2022
                : 11 October 2022
                : 23 December 2022
                Categories
                Original Paper

                cardiovascular magnetic resonance imaging,cardiac amyloidosis,hypertrophic phenotype,global and regional strain,amyloidosis subtypes

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