Skip to main content
Top
Published in: Journal of Cardiovascular Magnetic Resonance 1/2023

Open Access 01-12-2023 | Cardiac Resynchronization Therapy | Research

Hemodynamic forces from 4D flow magnetic resonance imaging predict left ventricular remodeling following cardiac resynchronization therapy

Authors: Karin Pola, Anders Roijer, Rasmus Borgquist, Ellen Ostenfeld, Marcus Carlsson, Zoltan Bakos, Håkan Arheden, Per M. Arvidsson

Published in: Journal of Cardiovascular Magnetic Resonance | Issue 1/2023

Login to get access

Abstract

Background

Patients with heart failure and left bundle branch block (LBBB) may receive cardiac resynchronization therapy (CRT), but current selection criteria are imprecise, and many patients have limited treatment response. Hemodynamic forces (HDF) have been suggested as a marker for CRT response. The aim of this study was therefore to investigate left ventricular (LV) HDF as a predictive marker for LV remodeling after CRT.

Methods

Patients with heart failure, EF < 35% and LBBB (n = 22) underwent CMR with 4D flow prior to CRT. LV HDF were computed in three directions using the Navier–Stokes equations, reported in median N [interquartile range], and the ratio of transverse/longitudinal HDF was calculated for systole and diastole. Transthoracic echocardiography was performed before and 6 months after CRT. Patients with end-systolic volume reduction ≥ 15% were defined as responders.

Results

Non-responders had smaller HDF than responders in the inferior-anterior direction in systole (0.06 [0.03] vs. 0.07 [0.03], p = 0.04), and in the apex-base direction in diastole (0.09 [0.02] vs. 0.1 [0.05], p = 0.047). Non-responders had larger diastolic HDF ratio compared to responders (0.89 vs. 0.67, p = 0.004). ROC analysis of diastolic HDF ratio for identifying CRT non-responders had AUC of 0.88 (p = 0.005) with sensitivity 57% and specificity 100% for ratio > 0.87. Intragroup comparison found higher HDF ratio in systole compared to diastole for responders (p = 0.003), but not for non-responders (p = 0.8).

Conclusion

Hemodynamic force ratio is a potential marker for identifying patients with heart failure and LBBB who are unlikely to benefit from CRT. Larger-scale studies are required before implementation of HDF analysis into clinical practice.

Graphical Abstract

Appendix
Available only for authorised users
Literature
1.
go back to reference Freemantle N, Tharmanathan P, Calvert MJ, Abraham WT, Ghosh J, Cleland JGF. Cardiac resynchronisation for patients with heart failure due to left ventricular systolic dysfunction—a systematic review and meta-analysis. Eur J Heart Fail. 2006;8(4):433–40.CrossRefPubMed Freemantle N, Tharmanathan P, Calvert MJ, Abraham WT, Ghosh J, Cleland JGF. Cardiac resynchronisation for patients with heart failure due to left ventricular systolic dysfunction—a systematic review and meta-analysis. Eur J Heart Fail. 2006;8(4):433–40.CrossRefPubMed
2.
go back to reference Wells G, Parkash R, Healey JS, Talajic M, Arnold JM, Sullivan S, et al. Cardiac resynchronization therapy: a meta-analysis of randomized controlled trials. C Can Med Assoc J. 2011;183(4):421–9.CrossRef Wells G, Parkash R, Healey JS, Talajic M, Arnold JM, Sullivan S, et al. Cardiac resynchronization therapy: a meta-analysis of randomized controlled trials. C Can Med Assoc J. 2011;183(4):421–9.CrossRef
3.
go back to reference Pouleur A-C, Knappe D, Shah AM, Uno H, Bourgoun M, Foster E, et al. Relationship between improvement in left ventricular dyssynchrony and contractile function and clinical outcome with cardiac resynchronization therapy: the MADIT-CRT trial. Eur Heart J. 2011;32(14):1720–9.CrossRefPubMed Pouleur A-C, Knappe D, Shah AM, Uno H, Bourgoun M, Foster E, et al. Relationship between improvement in left ventricular dyssynchrony and contractile function and clinical outcome with cardiac resynchronization therapy: the MADIT-CRT trial. Eur Heart J. 2011;32(14):1720–9.CrossRefPubMed
4.
go back to reference Solomon SD, Foster E, Bourgoun M, Shah A, Viloria E, Brown MW, et al. Effect of cardiac resynchronization therapy on reverse remodeling and relation to outcome: multicenter automatic defibrillator implantation trial: cardiac resynchronization therapy. Circulation. 2010;122(10):985–92.CrossRefPubMed Solomon SD, Foster E, Bourgoun M, Shah A, Viloria E, Brown MW, et al. Effect of cardiac resynchronization therapy on reverse remodeling and relation to outcome: multicenter automatic defibrillator implantation trial: cardiac resynchronization therapy. Circulation. 2010;122(10):985–92.CrossRefPubMed
5.
go back to reference Cleland JG, Abraham WT, Linde C, Gold MR, Young JB, Claude Daubert J, et al. An individual patient meta-analysis of five randomized trials assessing the effects of cardiac resynchronization therapy on morbidity and mortality in patients with symptomatic heart failure. Eur Heart J. 2013;34(46):3547–56.CrossRefPubMedPubMedCentral Cleland JG, Abraham WT, Linde C, Gold MR, Young JB, Claude Daubert J, et al. An individual patient meta-analysis of five randomized trials assessing the effects of cardiac resynchronization therapy on morbidity and mortality in patients with symptomatic heart failure. Eur Heart J. 2013;34(46):3547–56.CrossRefPubMedPubMedCentral
6.
go back to reference McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42(36):3599–726.CrossRefPubMed McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42(36):3599–726.CrossRefPubMed
7.
go back to reference Borgquist R, Carlsson M, Markstad H, Werther-Evaldsson A, Ostenfeld E, Roijer A, et al. Cardiac resynchronization therapy guided by echocardiography, MRI, and CT imaging: a randomized controlled study. JACC Clin Electrophysiol. 2020;6(10):1300–9.CrossRefPubMed Borgquist R, Carlsson M, Markstad H, Werther-Evaldsson A, Ostenfeld E, Roijer A, et al. Cardiac resynchronization therapy guided by echocardiography, MRI, and CT imaging: a randomized controlled study. JACC Clin Electrophysiol. 2020;6(10):1300–9.CrossRefPubMed
8.
go back to reference Strauss DG, Selvester RH, Wagner GS. Defining left bundle branch block in the era of cardiac resynchronization therapy. Am J Cardiol. 2011;107(6):927–34.CrossRefPubMed Strauss DG, Selvester RH, Wagner GS. Defining left bundle branch block in the era of cardiac resynchronization therapy. Am J Cardiol. 2011;107(6):927–34.CrossRefPubMed
9.
go back to reference Beela AS, Ünlü S, Duchenne J, Ciarka A, Daraban AM, Kotrc M, et al. Assessment of mechanical dyssynchrony can improve the prognostic value of guideline-based patient selection for cardiac resynchronization therapy. Eur Heart J Cardiovasc Imaging. 2019;20(1):66–74.CrossRefPubMed Beela AS, Ünlü S, Duchenne J, Ciarka A, Daraban AM, Kotrc M, et al. Assessment of mechanical dyssynchrony can improve the prognostic value of guideline-based patient selection for cardiac resynchronization therapy. Eur Heart J Cardiovasc Imaging. 2019;20(1):66–74.CrossRefPubMed
10.
go back to reference Khan FZ, Virdee MS, Palmer CR, Pugh PJ, O’Halloran D, Elsik M, et al. Targeted left ventricular lead placement to guide cardiac resynchronization therapy: the TARGET study: a randomized, controlled trial. J Am Coll Cardiol. 2012;59(17):1509–18.CrossRefPubMed Khan FZ, Virdee MS, Palmer CR, Pugh PJ, O’Halloran D, Elsik M, et al. Targeted left ventricular lead placement to guide cardiac resynchronization therapy: the TARGET study: a randomized, controlled trial. J Am Coll Cardiol. 2012;59(17):1509–18.CrossRefPubMed
11.
go back to reference Kjellstad Larsen C, Duchenne J, Galli E, Aalen J, Bogaert J, Lederlin M, et al. Septal scar predicts non-response to cardiac resynchronization therapy. Eur Hear J Cardiovasc Imaging. 2021;22(Supplement_1):350. Kjellstad Larsen C, Duchenne J, Galli E, Aalen J, Bogaert J, Lederlin M, et al. Septal scar predicts non-response to cardiac resynchronization therapy. Eur Hear J Cardiovasc Imaging. 2021;22(Supplement_1):350.
12.
go back to reference Zweerink A, Friedman DJ, Klem I, Van De Ven PM, Vink C, Biesbroek PS, et al. Segment length in cine strain analysis predicts cardiac resynchronization therapy outcome beyond current guidelines. Circ Cardiovasc Imaging. 2021;14(7):E012350.CrossRefPubMed Zweerink A, Friedman DJ, Klem I, Van De Ven PM, Vink C, Biesbroek PS, et al. Segment length in cine strain analysis predicts cardiac resynchronization therapy outcome beyond current guidelines. Circ Cardiovasc Imaging. 2021;14(7):E012350.CrossRefPubMed
13.
go back to reference Hawkins NM, Petrie MC, Burgess MI, McMurray JJV. Selecting patients for cardiac resynchronization therapy. The Fallacy of Echocardiographic Dyssynchrony. J Am Coll Cardiol. 2009;53(21):1944–59.CrossRefPubMed Hawkins NM, Petrie MC, Burgess MI, McMurray JJV. Selecting patients for cardiac resynchronization therapy. The Fallacy of Echocardiographic Dyssynchrony. J Am Coll Cardiol. 2009;53(21):1944–59.CrossRefPubMed
14.
go back to reference Mullens W, Auricchio A, Martens P, Witte K, Cowie MR, Delgado V, et al. Optimized implementation of cardiac resynchronization therapy: a call for action for referral and optimization of care. Europace. 2021;23(8):1324–42.CrossRefPubMed Mullens W, Auricchio A, Martens P, Witte K, Cowie MR, Delgado V, et al. Optimized implementation of cardiac resynchronization therapy: a call for action for referral and optimization of care. Europace. 2021;23(8):1324–42.CrossRefPubMed
15.
go back to reference Pedrizzetti G, Martiniello AR, Bianchi V, D’Onofrio A, Caso P, Tonti G. Changes in electrical activation modify the orientation of left ventricular flow momentum: novel observations using echocardiographic particle image velocimetry. Eur Hear J Cardiovasc Imaging. 2016;17(2):203–9.CrossRef Pedrizzetti G, Martiniello AR, Bianchi V, D’Onofrio A, Caso P, Tonti G. Changes in electrical activation modify the orientation of left ventricular flow momentum: novel observations using echocardiographic particle image velocimetry. Eur Hear J Cardiovasc Imaging. 2016;17(2):203–9.CrossRef
16.
go back to reference Pedrizzetti G, Martiniello AR, Bianchi V, D’Onofrio A, Caso P, Tonti G. Cardiac fluid dynamics anticipates heart adaptation. J Biomech. 2015;48(2):388–91.CrossRefPubMed Pedrizzetti G, Martiniello AR, Bianchi V, D’Onofrio A, Caso P, Tonti G. Cardiac fluid dynamics anticipates heart adaptation. J Biomech. 2015;48(2):388–91.CrossRefPubMed
17.
go back to reference Eriksson J, Bolger AF, Ebbers T, Carlhäll C-J. Assessment of left ventricular hemodynamic forces in healthy subjects and patients with dilated cardiomyopathy using 4D flow MRI. Physiol Rep. 2016;4(3): e12685.CrossRefPubMedPubMedCentral Eriksson J, Bolger AF, Ebbers T, Carlhäll C-J. Assessment of left ventricular hemodynamic forces in healthy subjects and patients with dilated cardiomyopathy using 4D flow MRI. Physiol Rep. 2016;4(3): e12685.CrossRefPubMedPubMedCentral
18.
go back to reference Arvidsson PM, Töger J, Carlsson M, Steding-Ehrenborg K, Pedrizzetti G, Heiberg E, et al. Left and right ventricular hemodynamic forces in healthy volunteers and elite athletes assessed with 4D flow magnetic resonance imaging. Am J Physiol Hear Circ Physiol. 2016;312(2):H314–28.CrossRef Arvidsson PM, Töger J, Carlsson M, Steding-Ehrenborg K, Pedrizzetti G, Heiberg E, et al. Left and right ventricular hemodynamic forces in healthy volunteers and elite athletes assessed with 4D flow magnetic resonance imaging. Am J Physiol Hear Circ Physiol. 2016;312(2):H314–28.CrossRef
19.
go back to reference Töger J, Arvidsson PM, Bock J, Kanski M, Pedrizzetti G, Carlsson M, et al. Hemodynamic forces in the left and right ventricles of the human heart using 4D flow magnetic resonance imaging: phantom validation, reproducibility, sensitivity to respiratory gating and free analysis software. PLoS ONE. 2018;13(4): e0195597.CrossRefPubMedPubMedCentral Töger J, Arvidsson PM, Bock J, Kanski M, Pedrizzetti G, Carlsson M, et al. Hemodynamic forces in the left and right ventricles of the human heart using 4D flow magnetic resonance imaging: phantom validation, reproducibility, sensitivity to respiratory gating and free analysis software. PLoS ONE. 2018;13(4): e0195597.CrossRefPubMedPubMedCentral
20.
go back to reference Pedrizzetti G, Arvidsson PM, Töger J, Borgquist R, Domenichini F, Arheden H, et al. On estimating intraventricular hemodynamic forces from endocardial dynamics: a comparative study with 4D flow MRI. J Biomech. 2017;60:203–10.CrossRefPubMed Pedrizzetti G, Arvidsson PM, Töger J, Borgquist R, Domenichini F, Arheden H, et al. On estimating intraventricular hemodynamic forces from endocardial dynamics: a comparative study with 4D flow MRI. J Biomech. 2017;60:203–10.CrossRefPubMed
21.
go back to reference Dal Ferro M, De Paris V, Collia D, Stolfo D, Caiffa T, Barbati G, et al. Left ventricular response to cardiac resynchronization therapy: insights from hemodynamic forces computed by speckle tracking. Front Cardiovasc Med. 2019;6(May). Dal Ferro M, De Paris V, Collia D, Stolfo D, Caiffa T, Barbati G, et al. Left ventricular response to cardiac resynchronization therapy: insights from hemodynamic forces computed by speckle tracking. Front Cardiovasc Med. 2019;6(May).
22.
go back to reference Arvidsson PM, Töger J, Pedrizzetti G, Heiberg E, Borgquist R, Carlsson M, et al. Hemodynamic forces using four-dimensional flow MRI: an independent biomarker of cardiac function in heart failure with left ventricular dyssynchrony? Am J Physiol Circ Physiol. 2018;315(6):H1627–39.CrossRef Arvidsson PM, Töger J, Pedrizzetti G, Heiberg E, Borgquist R, Carlsson M, et al. Hemodynamic forces using four-dimensional flow MRI: an independent biomarker of cardiac function in heart failure with left ventricular dyssynchrony? Am J Physiol Circ Physiol. 2018;315(6):H1627–39.CrossRef
23.
go back to reference Eriksson J, Zajac J, Alehagen U, Bolger AF, Ebbers T, Carlhäll C-J. Left ventricular hemodynamic forces as a marker of mechanical dyssynchrony in heart failure patients with left bundle branch block. Sci Rep. 2017;7(2971):1–9. Eriksson J, Zajac J, Alehagen U, Bolger AF, Ebbers T, Carlhäll C-J. Left ventricular hemodynamic forces as a marker of mechanical dyssynchrony in heart failure patients with left bundle branch block. Sci Rep. 2017;7(2971):1–9.
24.
go back to reference Surawicz B, Childers R, Deal BJ, Gettes LS. AHA/ACCF/HRS Recommendations for the Standardization and Interpretation of the Electrocardiogram. Part III: Intraventricular Conduction Disturbances A Scientific Statement From the American Heart Association Electrocardiography and Arrhythmias Committee, Vol. 53, Journal of the American College of Cardiology. American College of Cardiology Foundation; 2009. p. 976–81. Surawicz B, Childers R, Deal BJ, Gettes LS. AHA/ACCF/HRS Recommendations for the Standardization and Interpretation of the Electrocardiogram. Part III: Intraventricular Conduction Disturbances A Scientific Statement From the American Heart Association Electrocardiography and Arrhythmias Committee, Vol. 53, Journal of the American College of Cardiology. American College of Cardiology Foundation; 2009. p. 976–81.
25.
go back to reference Carlsson M, Töger J, Kanski M, Bloch KM, Ståhlberg F, Heiberg E, et al. Quantification and visualization of cardiovascular 4D velocity mapping accelerated with parallel imaging or k-t BLAST: head to head comparison and validation at 1.5 T and 3 T. J Cardiovasc Magn Reson. 2011;13:55.CrossRefPubMedPubMedCentral Carlsson M, Töger J, Kanski M, Bloch KM, Ståhlberg F, Heiberg E, et al. Quantification and visualization of cardiovascular 4D velocity mapping accelerated with parallel imaging or k-t BLAST: head to head comparison and validation at 1.5 T and 3 T. J Cardiovasc Magn Reson. 2011;13:55.CrossRefPubMedPubMedCentral
26.
go back to reference Bock J, Töger J, Bidhult S, Markenroth Bloch K, Arvidsson P, Kanski M, et al. Validation and reproducibility of cardiovascular 4D-flow MRI from two vendors using 2 × 2 parallel imaging acceleration in pulsatile flow phantom and in vivo with and without respiratory gating. Acta Radiol. 2019;60(3):327–37.CrossRefPubMed Bock J, Töger J, Bidhult S, Markenroth Bloch K, Arvidsson P, Kanski M, et al. Validation and reproducibility of cardiovascular 4D-flow MRI from two vendors using 2 × 2 parallel imaging acceleration in pulsatile flow phantom and in vivo with and without respiratory gating. Acta Radiol. 2019;60(3):327–37.CrossRefPubMed
27.
go back to reference Heiberg E, Sjogren J, Ugander M, Carlsson M, Engblom H, Arheden H. Design and validation of Segment—freely available software for cardiovascular image analysis. BMC Med Imaging. 2010;10(1):1–13.CrossRefPubMedPubMedCentral Heiberg E, Sjogren J, Ugander M, Carlsson M, Engblom H, Arheden H. Design and validation of Segment—freely available software for cardiovascular image analysis. BMC Med Imaging. 2010;10(1):1–13.CrossRefPubMedPubMedCentral
28.
go back to reference Schulz-Menger J, Bluemke DA, Bremerich J, Flamm SD, Fogel MA, Friedrich MG, et al. Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) Board of Trustees Task Force on Standardized Post Processing. J Cardiovasc Magn Reson. 2013;15(1):1.CrossRef Schulz-Menger J, Bluemke DA, Bremerich J, Flamm SD, Fogel MA, Friedrich MG, et al. Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) Board of Trustees Task Force on Standardized Post Processing. J Cardiovasc Magn Reson. 2013;15(1):1.CrossRef
29.
go back to reference Busch J, Giese D, Kozerke S. Image-based background phase error correction in 4D flow MRI revisited. J Magn Reson Imaging. 2017;1–10. Busch J, Giese D, Kozerke S. Image-based background phase error correction in 4D flow MRI revisited. J Magn Reson Imaging. 2017;1–10.
30.
go back to reference Loecher M, Schrauben E, Johnson KM, Wieben O. Phase unwrapping in 4D MR flow with a 4D single-step Laplacian algorithm. J Magn Reson Imaging. 2016;43(4):833–42.CrossRefPubMed Loecher M, Schrauben E, Johnson KM, Wieben O. Phase unwrapping in 4D MR flow with a 4D single-step Laplacian algorithm. J Magn Reson Imaging. 2016;43(4):833–42.CrossRefPubMed
31.
go back to reference Arvidsson PM, Nelsson A, Magnusson M, Smith JG, Carlsson M, Arheden H. Hemodynamic force analysis is not ready for clinical trials on HFpEF. Sci Rep. 2022;12(1):1–9.CrossRef Arvidsson PM, Nelsson A, Magnusson M, Smith JG, Carlsson M, Arheden H. Hemodynamic force analysis is not ready for clinical trials on HFpEF. Sci Rep. 2022;12(1):1–9.CrossRef
32.
go back to reference Pola K, Bergström E, Töger J, Rådegran G, Arvidsson PM, Carlsson M, et al. Increased biventricular hemodynamic forces in precapillary pulmonary hypertension. Sci Rep. 2022;(0123456789):1–13. Pola K, Bergström E, Töger J, Rådegran G, Arvidsson PM, Carlsson M, et al. Increased biventricular hemodynamic forces in precapillary pulmonary hypertension. Sci Rep. 2022;(0123456789):1–13.
33.
go back to reference Vallelonga F, Airale L, Tonti G, Argulian E, Milan A, Narula J, et al. Introduction to hemodynamic forces analysis: moving into the new frontier of cardiac deformation analysis. J Am Heart Assoc. 2021;10(24):1–13.CrossRef Vallelonga F, Airale L, Tonti G, Argulian E, Milan A, Narula J, et al. Introduction to hemodynamic forces analysis: moving into the new frontier of cardiac deformation analysis. J Am Heart Assoc. 2021;10(24):1–13.CrossRef
34.
go back to reference Voigt J, Pedrizzetti G, Lysyansky P, Marwick TH, Houle H, Baumann R, et al. Definitions for a common standard for 2D speckle tracking echocardiography : consensus document of the EACVI / ASE / Industry Task Force to standardize deformation imaging. 2015;1–11. Voigt J, Pedrizzetti G, Lysyansky P, Marwick TH, Houle H, Baumann R, et al. Definitions for a common standard for 2D speckle tracking echocardiography : consensus document of the EACVI / ASE / Industry Task Force to standardize deformation imaging. 2015;1–11.
35.
go back to reference Hsu JC, Solomon SD, Bourgoun M, McNitt S, Goldenberg I, Klein H, et al. Predictors of super-response to cardiac resynchronization therapy and associated improvement in clinical outcome: the MADIT-CRT (Multicenter Automatic Defibrillator Implantation Trial with Cardiac Resynchronization Therapy) study. J Am Coll Cardiol. 2012;59(25):2366–73.CrossRefPubMed Hsu JC, Solomon SD, Bourgoun M, McNitt S, Goldenberg I, Klein H, et al. Predictors of super-response to cardiac resynchronization therapy and associated improvement in clinical outcome: the MADIT-CRT (Multicenter Automatic Defibrillator Implantation Trial with Cardiac Resynchronization Therapy) study. J Am Coll Cardiol. 2012;59(25):2366–73.CrossRefPubMed
36.
go back to reference Duchenne J, Larsen CK, Cvijic M, Galli E, Aalen JM, Klop B, et al. Visual presence of mechanical dyssynchrony combined with septal scarring identifies responders to cardiac resynchronization therapy. JACC Cardiovasc Imaging. 2022;15(12):2151–3.CrossRefPubMed Duchenne J, Larsen CK, Cvijic M, Galli E, Aalen JM, Klop B, et al. Visual presence of mechanical dyssynchrony combined with septal scarring identifies responders to cardiac resynchronization therapy. JACC Cardiovasc Imaging. 2022;15(12):2151–3.CrossRefPubMed
37.
go back to reference Steding-Ehrenborg K, Arvidsson PM, Töger J, Rydberg M, Heiberg E, Carlsson M, et al. Determinants of kinetic energy of blood flow in the four-chambered heart in athletes and sedentary controls. Am J Physiol Hear Circ Physiol. 2016;310(11):H113–22.CrossRef Steding-Ehrenborg K, Arvidsson PM, Töger J, Rydberg M, Heiberg E, Carlsson M, et al. Determinants of kinetic energy of blood flow in the four-chambered heart in athletes and sedentary controls. Am J Physiol Hear Circ Physiol. 2016;310(11):H113–22.CrossRef
38.
go back to reference Dyvorne H, Knight-Greenfield A, Jajamovich G, Besa C, Cui Y, Stalder A, et al. Abdominal 4D flow MR imaging in a breath hold: combination of spiral sampling and dynamic compressed sensing for highly accelerated acquisition. Radiology. 2015;275(1):245–54.CrossRefPubMed Dyvorne H, Knight-Greenfield A, Jajamovich G, Besa C, Cui Y, Stalder A, et al. Abdominal 4D flow MR imaging in a breath hold: combination of spiral sampling and dynamic compressed sensing for highly accelerated acquisition. Radiology. 2015;275(1):245–54.CrossRefPubMed
39.
go back to reference Siciliano M, Migliore F, Badano L, Bertaglia E, Pedrizzetti G, Cavedon S, et al. Cardiac resynchronization therapy by multipoint pacing improves response of left ventricular mechanics and fluid dynamics: a three-dimensional and particle image velocimetry echo study. Europace. 2017;19(11):1833–40.CrossRefPubMed Siciliano M, Migliore F, Badano L, Bertaglia E, Pedrizzetti G, Cavedon S, et al. Cardiac resynchronization therapy by multipoint pacing improves response of left ventricular mechanics and fluid dynamics: a three-dimensional and particle image velocimetry echo study. Europace. 2017;19(11):1833–40.CrossRefPubMed
40.
go back to reference Domenichini F, Pedrizzetti G. Hemodynamic forces in a model left ventricle. Phys Rev Fluids. 2016;1(8): 083201.CrossRef Domenichini F, Pedrizzetti G. Hemodynamic forces in a model left ventricle. Phys Rev Fluids. 2016;1(8): 083201.CrossRef
Metadata
Title
Hemodynamic forces from 4D flow magnetic resonance imaging predict left ventricular remodeling following cardiac resynchronization therapy
Authors
Karin Pola
Anders Roijer
Rasmus Borgquist
Ellen Ostenfeld
Marcus Carlsson
Zoltan Bakos
Håkan Arheden
Per M. Arvidsson
Publication date
01-12-2023

Other articles of this Issue 1/2023

Journal of Cardiovascular Magnetic Resonance 1/2023 Go to the issue