Zusammenfassung
Over 40.000 annuloplasty rings are implanted each year in the United States to treat mitral regurgitation. The rings come in different sizes and shapes. However it is unclear, which ring is most suitable for the individual patient. Here we present a preoperative annuloplasty planning software to determine an eligible ring. It provides fast interactive methods to create 4D mitral annulus models based on arbitrary image data. Created models can be analyzed geometrically and compared to existing annuloplasty ring models. This way, forces caused by a specific annuloplasty ring can visualized, which enables preoperative simulation and eventually improves operation results. Using our software, we evaluated the size changes caused by five commercially available annuloplasty rings on the mitral annuli of 39 patients. The results suggest that the annuloplasty ring should be selected for each patient specifically.
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Literatur
Singh JP, Evans JC, Levy D, et al. Prevalence and clinical determinants of mitral, tricuspid, and aortic regurgitation (the Framingham Heart Study). Am J Cardiol. 1999;83(6):897–902.
Nkomo, Gardin, Skelton, et al. Burden of valvular heart diseases: a population-based study. Lancet. 2006;368(9540):1005–11.
Adams DH, Anyanwu AC, Rahmanian PB, et al. Large Annuloplasty Rings Facilitate Mitral Valve Repair in Barlow’s Disease. Ann Thorac Surg. 2006;82(6):2096–101.
Braun J, van de Veire NR, Klautz RJM, et al. Restrictive mitral annuloplasty cures ischemic mitral regurgitation and heart failure. Ann Thorac Surg. 2008;85(2):430–6.
Graser B, Wald D, Seitel M, et al. A robust model-based approach to detect the mitral annulus in 3D ultrasound. Proc SPIE. 2013;(in press).
Ionasec RI, Voigt I, Georgescu B, et al. Patient-specific modeling and quantification of the aortic and mitral valves from 4D cardiac CT and TEE. IEEE Trans Med Imaging. 2010;29(9):1636–51.
Voigt I, Mansi T, Ionasec R, et al. Robust physically-constrained modeling of the mitral valve and subvalvular apparatus. Proc MICCAI. 2011.
Dubuc S. Interpolation through an iterative scheme. J Math Anal Appl. 1986;114(1):185–204.
Edwards MB, Draper ERC, Hand JW, et al. Mechanical testing of human cardiac tissue: some implications for MRI safety. J Cardiov Magn Reson. 2005;7(5):835–40.
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© 2013 Springer-Verlag Berlin Heidelberg
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Graser, B. et al. (2013). Computer-Assisted Analysis of Annuloplasty Rings. In: Meinzer, HP., Deserno, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2013. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36480-8_15
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DOI: https://doi.org/10.1007/978-3-642-36480-8_15
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