Computational Models for the Mechanical Investigation of Stomach Tissues and Structure

Fontanella, Chiara Giulia; Salmaso, C.; Toniolo, Ilaria; Cesare, Niccolò de; Rubini, Alessandro; Benedictis, Giulia Maria De; Carniel, Emanuele Luigi

doi:10.1007/s10439-019-02229-w

Cited by 23 publications

(14 citation statements)

References 49 publications

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“…The local orientation of the i th fibers family was described by the unit vector a 0 i , assumed along the two principal directions of the reinforcing mesh. The definition of the strain energy function was the following:

W ((),, C, {bolda}_{0}^{i} \otimes {bolda}_{0}^{i}) = W_{m} ((), C) + W_{f_{i}} ((),, C, {bolda}_{0}^{i} \otimes {bolda}_{0}^{i})

W_{m} ((), C) = K_{v} {(J - 1)}^{2} + C_{1} ((), {\overset{false˜}{I}}_{1} - 3)

W_{f_{i}} ((),, C, {bolda}_{0}^{i} \otimes {bolda}_{0}^{i}) = ([], {C_{4}}^{i} / {({α_{4}}^{i})}^{2}) ({}, \exp ([], {α_{4}}^{i} ((), {I_{4}}^{i} - 1)) - {α_{4}}^{i} ((), {I_{4}}^{i} - 1) - 1)

where

{\overset{false˜}{I}}_{1}

is the first iso‐volumetric invariant of the right Cauchy‐Green strain tensor, as

{\overset{false˜}{I}}_{1} = tr ((), J^{- 2 / 3} boldC)

. The parameters K v and C 1 are related to bulk stiffness, as B = 2 K v , and shear modulus, as G = 2 C 1 , respectively.…”

Section: Methodsmentioning

confidence: 99%

“…Each specimen was stretched up to a 60% strain according to a 60%/s constant strain rate . Finally, aiming to analyses the structural behavior, inflation tests were carried out on urethral tubular segments pertaining to both distal and proximal regions. A peristaltic pump (VerderFlex Vantage 5000, Verder Ltd, Castleford, UK) allowed the almost instantaneous inflation of the samples with saline up to a 2000% volumetric ratio.…”

Section: Methodsmentioning

confidence: 99%

“…The local orientation of the ith fibers family was described by the unit vector a 0 i , assumed along the two principal directions of the reinforcing mesh. The definition of the strain energy function was the following 14,21,25 :…”

Section: Urethra Biomechanicsmentioning

confidence: 99%

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Biomechanical analysis of the interaction phenomena between artificial urinary sphincter and urethral duct

Natali

Fontanella

Carniel

2020

Numer Methods Biomed Eng

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Male urinary incontinence is a widespread healthcare problem, leading to a miserable quality of life. Artificial urinary sphincter (AUS) is a device inserted mostly around the urethra in adult males, which mimics the urinary sphincter by providing a closure during urinary storage and a subsequent open to permit voiding. The interaction phenomena occurring between AUS cuff and urethral duct represent a fundamental problem in the investigation of AUS reliability and durability. In this work, computational methods are exploited to deeply investigate the mechanics of interaction phenomena occurring between urethral duct and AUS device. Experimental studies are performed on urethral tissues, and structural tests are carried out on the overall urethral duct to obtain a large set of information required for mechanical properties definition. The mechanical behavior of AUS cuff is investigated using mechanical and physicochemical procedures. The cuff conformation is acquired by computed tomography techniques for the definition of the numerical model. Numerical analyses are developed to evaluate the mechanical response of urethral duct in interaction with AUS cuff, considering the lumen occlusion process for maintaining urinary continence. Finally, the investigation of the compressive stress and strain fields within urethral tissues allows the identification of device performance and reliability in correlation with surgical practice.

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W ((),, C, {bolda}_{0}^{i} \otimes {bolda}_{0}^{i}) = W_{m} ((), C) + W_{f_{i}} ((),, C, {bolda}_{0}^{i} \otimes {bolda}_{0}^{i})

W_{m} ((), C) = K_{v} {(J - 1)}^{2} + C_{1} ((), {\overset{false˜}{I}}_{1} - 3)

W_{f_{i}} ((),, C, {bolda}_{0}^{i} \otimes {bolda}_{0}^{i}) = ([], {C_{4}}^{i} / {({α_{4}}^{i})}^{2}) ({}, \exp ([], {α_{4}}^{i} ((), {I_{4}}^{i} - 1)) - {α_{4}}^{i} ((), {I_{4}}^{i} - 1) - 1)

where

{\overset{false˜}{I}}_{1}

is the first iso‐volumetric invariant of the right Cauchy‐Green strain tensor, as

{\overset{false˜}{I}}_{1} = tr ((), J^{- 2 / 3} boldC)

. The parameters K v and C 1 are related to bulk stiffness, as B = 2 K v , and shear modulus, as G = 2 C 1 , respectively.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Biomechanical analysis of the interaction phenomena between artificial urinary sphincter and urethral duct

Natali

Fontanella

Carniel

2020

Numer Methods Biomed Eng

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“…A biomechanical model of the stomach was developed on the basis of coupled experimental and computational activities [ 5 , 32 ]. Experimentations were performed on samples from animal models, such as wastes from local abattoirs, and human surgical scraps from Padua University Hospital.…”

Section: In Silico Analysis Of Surgical Procedures: Case Studiesmentioning

confidence: 99%

Computational Biomechanics: In-Silico Tools for the Investigation of Surgical Procedures and Devices

2020

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Biomechanical investigations of surgical procedures and devices are usually developed by means of human or animal models. The exploitation of computational methods and tools can reduce, refine, and replace (3R) the animal experimentations for scientific purposes and for pre-clinical research. The computational model of a biological structure characterizes both its geometrical conformation and the mechanical behavior of its building tissues. Model development requires coupled experimental and computational activities. Medical images and anthropometric information provide the geometrical definition of the computational model. Histological investigations and mechanical tests on tissue samples allow for characterizing biological tissues’ mechanical response by means of constitutive models. The assessment of computational model reliability requires comparing model results and data from further experimentations. Computational methods allow for the in-silico analysis of surgical procedures and devices’ functionality considering many different influencing variables, the experimental investigation of which should be extremely expensive and time consuming. Furthermore, computational methods provide information that experimental methods barely supply, as the strain and the stress fields that regulate important mechano-biological phenomena. In this work, general notes about the development of biomechanical tools are proposed, together with specific applications to different fields, as dental implantology and bariatric surgery.

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“…Another structure-based model was presented for the first time for GI tissues by Natali and colleagues in their study of the individual layers of the esophagus [23] before being applied to the intact tissue and layers of the large intestine [24,25] as well as to the intact tissue of the stomach [83]. A list of studies that presented a Natali-type model is provided in Table S5.…”

mentioning

confidence: 99%

Biomechanical Constitutive Modeling of the Gastrointestinal Tissues: Where Are We?

Patel¹,

Gizzi²,

Hashemi³

et al. 2021

Preprint

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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 from the rectum through the anal sphincter. The mechanical behavior of GI tissues thus plays a crucial role for GI function in health and disease. The mechanical properties are typically characterized by a constitutive biomechanical 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 under physiological and pathological conditions. Numerous constitutive models have consequently been proposed over the past three decades, mainly inspired by work done in cardiovascular tissues. Here, a comprehensive 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 of GI biomechanics 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 under physiological and pathological conditions 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 aimed at establishing new constitutive models for GI tissues.

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Computational Models for the Mechanical Investigation of Stomach Tissues and Structure

Cited by 23 publications

References 49 publications

Biomechanical analysis of the interaction phenomena between artificial urinary sphincter and urethral duct

Biomechanical analysis of the interaction phenomena between artificial urinary sphincter and urethral duct

Computational Biomechanics: In-Silico Tools for the Investigation of Surgical Procedures and Devices

Biomechanical Constitutive Modeling of the Gastrointestinal Tissues: Where Are We?

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