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Biomechanical constitutive modeling of the gastrointestinal tissues: a systematic review.
Patel, Bhavesh; Gizzi, Alessio; Hashemi, Javad; Awakeem, Yousif; Gregersen, Hans; Kassab, Ghassan.
Afiliación
  • Patel B; California Medical Innovations Institute, 11107 Roselle St, San Diego, CA 92121, USA.
  • Gizzi A; Department of Engineering, Campus Bio-Medico University of Rome, Via A. del Portillo 21, 00128 Rome, IT.
  • Hashemi J; California Medical Innovations Institute, 11107 Roselle St, San Diego, CA 92121, USA.
  • Awakeem Y; California Medical Innovations Institute, 11107 Roselle St, San Diego, CA 92121, USA.
  • Gregersen H; California Medical Innovations Institute, 11107 Roselle St, San Diego, CA 92121, USA.
  • Kassab G; California Medical Innovations Institute, 11107 Roselle St, San Diego, CA 92121, USA.
Mater Des ; 2172022 May.
Article en En | MEDLINE | ID: mdl-35935127
ABSTRACT
The gastrointestinal (GI) tract is a continuous channel through the body that consists of the esophagus, the stomach, the small intestine, the large intestine, and the rectum. Its primary functions are to move the intake of food for digestion before storing and ultimately expulsion of feces. The mechanical behavior of GI tissues thus plays a crucial role for GI function in health and disease. The mechanical properties are characterized by a biomechanical constitutive model, which is a mathematical representation of the relation between load and deformation in a tissue. Hence, validated biomechanical constitutive models are essential to characterize and simulate the mechanical behavior of the GI tract. Here, a systematic review of these constitutive models is provided. This review is limited to studies where a model of the strain energy function is proposed to characterize the stress-strain relation of a GI tissue. Several needs are identified for more advanced modeling including 1) Microstructural models that provide actual structure-function relations; 2) Validation of coupled electro-mechanical models accounting for active muscle contractions; 3) Human data to develop and validate models. The findings from this review provide guidelines for using existing constitutive models as well as perspective and directions for future studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: Mater Des Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: Mater Des Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos