Abstract
We present a patient-specific biomechanical modeling framework and an initial case study for investigating cardiac amyloidosis (CA). Our patient-specific heartbeat simulations are in good agreement with the data, and our model calibration indicates that the major effect of CA in the biophysical behavior lies in a dramatic increase of the passive stiffness. We also conducted a preliminary trial for predicting the effects of pharmacological treatments – which is an important clinical challenge – based on the model combined with a simple venous return representation. This requires further investigation and validation, albeit provides some valuable preliminary insight.
A. Felder—Inria Saclay Ile-de-France, MΞDISIM Team, Palaiseau, France
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Notes
- 1.
Proprietary software of Inria (main author P. Moireau).
References
Caruel, M., et al.: Dimensional reductions of a cardiac model for effective validation and calibration. Biomech. Model. Mechan. 13(4), 897–914 (2014)
Chabiniok, R., et al.: Estimation of tissue contractility from cardiac cine-MRI using a biomechanical heart model. Biomech. Model. Mechanobiol. 11(5), 609–630 (2012)
Chapelle, D., et al.: Energy-preserving muscle tissue model: formulation and compatible discretizations. Int. J. Multiscale Comput. 10(2), 189–211 (2012)
Damy, T., et al.: Role of natriuretic peptide to predict cardiac abnormalities in patients with hereditary transthyretin amyloidosis. Amyloid 20(4), 212–220 (2013)
Frey, P., George, P.L.: Mesh Generation, 2nd edn. Wiley, New York (2008)
Gray Gilstrap, L., et al.: Predictors of survival to orthotopic heart transplant in patients with light chain amyloidosis. J. Hear. Lung Transplant. 33(2), 149–156 (2014)
Koeppen, B.M., Stanton, B.A.: Berne and Levy Physiology, 6th edn. Mosby, Philadelphia (2009)
Koyama, J., Falk, R.H.: Prognostic significance of strain Doppler imaging in light-chain amyloidosis. J. Am. Coll. Cardiol. Imging 3(4), 333–342 (2010)
Koyama, J., et al.: Longitudinal myocardial function assessed by tissue velocity, strain, and strain rate tissue Doppler echocardiography in patients with AL (primary) cardiac amyloidosis. Circulation 107(19), 2446–2452 (2003)
Liu, D., et al.: Echocardiographic evaluation of systolic and diastolic function in patients with cardiac amyloidosis. Am. J. Cardiol. 108(4), 591–8 (2011)
McCarthy, R.E., Kasper, E.K.: A review of the amyloidoses that infiltrate the heart. Clin. Cardiol. 21(8), 547–552 (1998)
Roig, E., et al.: Outcomes of heart transplantation for cardiac amyloidosis: subanalysis of the Spanish registry for heart transplantation. Am. J. Transplant. 9(6), 1414–1419 (2009)
Rueckert, D., et al.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712–721 (1999)
Sermesant, M., et al.: Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: a preliminary clinical validation. Med. Image Anal. 16(1), 201–215 (2012)
Shi, W., et al.: A comprehensive cardiac motion estimation framework using both untagged and 3D tagged MR images based on non-rigid registration. IEEE Trans. Med. Imaging 31(6), 1263–1275 (2012)
Syed, I.S., et al.: Role of cardiac magnetic resonance imaging in the detection of cardiac amyloidosis. J. Am. Coll. Cardiol. Imging 3(2), 155–164 (2010)
Toussaint, N., et al.: An integrated platform for dynamic cardiac simulation and image processing: application to personalised tetralogy of Fallot simulation. In: Proceedings, Eurographics Workshop on Visual Computing for Biomedicine (2008)
Vikram, C.S.: Removing the diffraction halo effect in speckle photography of sinusoidal vibration. Appl. Opt. 29(25), 3572–3573 (1990)
Acknowledgments
The authors are very grateful to Philippe Moireau for valuable discussions and for the use of his numerical simulation software HeartLab, and also wish to thank Gabriel Valdes Alonzo (intern) for some helpful numerical verifications.
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Chapelle, D., Felder, A., Chabiniok, R., Guellich, A., Deux, JF., Damy, T. (2015). Patient-Specific Biomechanical Modeling of Cardiac Amyloidosis – A Case Study. In: van Assen, H., Bovendeerd, P., Delhaas, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2015. Lecture Notes in Computer Science(), vol 9126. Springer, Cham. https://doi.org/10.1007/978-3-319-20309-6_34
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DOI: https://doi.org/10.1007/978-3-319-20309-6_34
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