Obesity has reached pandemic proportions, affecting over a billion individuals globally, with an estimated 480,970 bariatric procedures performed worldwide in 2023. Among recent advancements, Endoscopic Sleeve Gastroplasty (ESG) has emerged as a less invasive option for treating obesity and obesity related comorbid conditions compared to traditional bariatric surgery. ESG is safe and offers significant advantages, including shorter recovery times, and reversibility. This procedure involves endoscopic suturing to reduce the stomach's capacity, promoting weight loss without requiring incisions or tissue removal. Despite its growing popularity, the long-term impacts of ESG remain underexplored due to its relatively recent adoption. To address this point, computational biomechanics, particularly in silico gastric mechanics, provides valuable tools for assessing the procedure’s effects on the stomach. This approach integrates biomechanics and computational modelling to simulate the stomach mechanical behaviour after the sutures positioning, offering insights into gastric solicitation after food intake. Virtual stomach models combined with finite element analysis have been used to optimize bariatric techniques, aiding in surgical planning and improving patient outcomes. This study utilizes patient-specific computational models to evaluate the mechanical and functional changes in the stomach following ESG. For the first time, a cohort of ESG patients was systematically analysed using finite element methods to predict gastric volume reduction and assess the stomach response to variations in intragastric pressure and elongation strain distribution. Unlike prior studies, this research incorporates MRI-based reconstructions of post-ESG stomachs, providing a more accurate representation. These findings underscore the potential of in silico approaches in refining ESG techniques, enhancing surgical precision, and advancing patient-specific treatment strategies in bariatric care.

In silico approach in bariatric surgery for customisation

Toniolo I.;Berardo A.;Fontanella C. G.;Carniel E. L.
2025

Abstract

Obesity has reached pandemic proportions, affecting over a billion individuals globally, with an estimated 480,970 bariatric procedures performed worldwide in 2023. Among recent advancements, Endoscopic Sleeve Gastroplasty (ESG) has emerged as a less invasive option for treating obesity and obesity related comorbid conditions compared to traditional bariatric surgery. ESG is safe and offers significant advantages, including shorter recovery times, and reversibility. This procedure involves endoscopic suturing to reduce the stomach's capacity, promoting weight loss without requiring incisions or tissue removal. Despite its growing popularity, the long-term impacts of ESG remain underexplored due to its relatively recent adoption. To address this point, computational biomechanics, particularly in silico gastric mechanics, provides valuable tools for assessing the procedure’s effects on the stomach. This approach integrates biomechanics and computational modelling to simulate the stomach mechanical behaviour after the sutures positioning, offering insights into gastric solicitation after food intake. Virtual stomach models combined with finite element analysis have been used to optimize bariatric techniques, aiding in surgical planning and improving patient outcomes. This study utilizes patient-specific computational models to evaluate the mechanical and functional changes in the stomach following ESG. For the first time, a cohort of ESG patients was systematically analysed using finite element methods to predict gastric volume reduction and assess the stomach response to variations in intragastric pressure and elongation strain distribution. Unlike prior studies, this research incorporates MRI-based reconstructions of post-ESG stomachs, providing a more accurate representation. These findings underscore the potential of in silico approaches in refining ESG techniques, enhancing surgical precision, and advancing patient-specific treatment strategies in bariatric care.
2025
Convegno Nazionale di Bioingegneria
9th Congress of the National Group of Bioengineering, GNB 2025
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3591481
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