Volume 95B, Issue 2 pp. 414-420

Optimal selection of biological tissue using the energy dissipated in the first loading cycle

Francisco J. Rojo

Corresponding Author

Francisco J. Rojo

Departamento de Ciencia de Materiales, Escuela de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica, Madrid, Spain

Departamento de Ciencia de Materiales, Escuela de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica, Madrid, SpainSearch for more papers by this author
José M. García Páez

José M. García Páez

Unidad de Biomateriales, Hospital Universitario Puerta de Hierro—Majadahonda, Madrid, Spain

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Eduardo Jorge-Herrero

Eduardo Jorge-Herrero

Unidad de Biomateriales, Hospital Universitario Puerta de Hierro—Majadahonda, Madrid, Spain

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José M. Atienza

José M. Atienza

Departamento de Ciencia de Materiales, Escuela de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica, Madrid, Spain

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Isabel Millán

Isabel Millán

Servicio de Bioestadística, Hospital Universitario Puerta de Hierro—Majadahonda, Madrid, Spain

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Aurora Rocha

Aurora Rocha

Unidad de Biomateriales, Hospital Universitario Puerta de Hierro—Majadahonda, Madrid, Spain

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Alfonso Hoyos Fernández de Córdova

Alfonso Hoyos Fernández de Córdova

Unidad de Biomateriales, Hospital Universitario Puerta de Hierro—Majadahonda, Madrid, Spain

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Gustavo V. Guinea

Gustavo V. Guinea

Departamento de Ciencia de Materiales, Escuela de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica, Madrid, Spain

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First published: 28 September 2010
Citations: 4

Abstract

Calf pericardium, similar to that used in the manufacturing of prosthetic valve cusps, was fatigue tested. After six batches of 100 cycles of 1 MPa of loading pressure, half of the samples broke. The mean energy dissipated in the first cycle by the surviving samples was 0.16 J, which is lower than the 0.28 J dissipated by the specimens that broke (p = 0.005). The hysteresis of the first cycle was characteristic and different from the following ones and correlated superbly with fatigue resistance. Setting a threshold value for the energy of the first cycle of 0.20 J, the performance index (the percentage of true predictions) was almost 80%, and the area under the ROC curve was 0.823 (maximum value is 1). When including the mean thickness in the selection parameters, as an indirect measure of the specimen mass, the performance index grew over 95%, meaning that the error of the predictions was less than 5%. Combining both parameters in one, a high performance index is maintained at 87.5% and the area under the ROC curve increases to 0.917. This non-destructive method should help optical methods in the process of selecting the most appropriate and homogenous biological material. © 2010 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 2010.

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