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Math. Comput. Appl. 2018, 23(3), 50; https://doi.org/10.3390/mca23030050

Left Ventricular Volume in Bovines: The Correlation between Teichholz’s Medical Mathematical Method and the Volume of the Truncated Prolate Spheroid

Department of Mathematics, Federal Institute of Minas Gerais, Formiga 35570-000, MG, Brazil
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Received: 10 August 2018 / Revised: 6 September 2018 / Accepted: 10 September 2018 / Published: 11 September 2018
(This article belongs to the Special Issue Mathematics and Computing in Cardiology)
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Abstract

The main objective of this article is to determine the existing linear correlation between the real left ventricular volume (RV) from the heart of bovines and the volumes obtained by Teichholz’s mathematical model and the volume of the truncated prolate spheroid (TPS) to identify which model has a higher proximity to the RV. For that, ten silicon rubber molds of the left ventricle (LV) were manufactured, and their real volumes were obtained through Archimedes’ principle, and their linear dimensions were also obtained. These dimensions were used to feed Teichholz’s and the TPS models. It was verified that, for ventricles of lower volume, the models showed relatively close results, and Teichholz’s model was the most accurate one. The TPS method shows a grave accuracy mistake for higher volume ventricles. Besides, both methods showed strong linear correlations with the RV, and both with high significance. View Full-Text
Keywords: left ventricular volume; Teichholz’s model; truncated prolate spheroid left ventricular volume; Teichholz’s model; truncated prolate spheroid
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Domingues, J.S.; Coelho, R.A.; Bento, F.S.; Almeida, B.C.; de Castro, A.O. Left Ventricular Volume in Bovines: The Correlation between Teichholz’s Medical Mathematical Method and the Volume of the Truncated Prolate Spheroid. Math. Comput. Appl. 2018, 23, 50.

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