2019
DOI: 10.1016/j.clinbiomech.2018.01.002
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Integrated lung tissue mechanics one piece at a time: Computational modeling across the scales of biology

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Cited by 13 publications
(6 citation statements)
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“…There are hypotheses into how the pathological changes of the COVID-19 lung lead to the different changes in function at the macroscale but visualization of these microscale changes in vivo is challenging due to inadequate imaging resolution and lack of validated testing protocols. Use of in silico modeling and simulation techniques could allow for visualization of lung micromechanics to better understand functional changes in COVID-19 [ 137 , 138 ]. There is currently great variation in procedures used in postmortem studies of COVID-19 pathology and in order to make better comparisons between studies, standardized procedures and classification systems would be beneficial [ 139 , 140 ].…”
Section: Resultsmentioning
confidence: 99%
“…There are hypotheses into how the pathological changes of the COVID-19 lung lead to the different changes in function at the macroscale but visualization of these microscale changes in vivo is challenging due to inadequate imaging resolution and lack of validated testing protocols. Use of in silico modeling and simulation techniques could allow for visualization of lung micromechanics to better understand functional changes in COVID-19 [ 137 , 138 ]. There is currently great variation in procedures used in postmortem studies of COVID-19 pathology and in order to make better comparisons between studies, standardized procedures and classification systems would be beneficial [ 139 , 140 ].…”
Section: Resultsmentioning
confidence: 99%
“…Some of these limitations might be addressed by computational simulations (Burrowes et al 2018). Computational modelling has the potential to advance our understanding of the acinar micromechanics and alveolar interdependence including the effects down to the cellular level.…”
Section: Discussionmentioning
confidence: 99%
“…To provide a four-dimensional view of airflow patterns in the lung, CT images can be used to develop geometric models of the lung, which then can be combined with fluid flow and tissue mechanics physics-based models. Such physics-based computer models of the lung present an opportunity for gaining valuable insights into pulmonary ventilation dynamics [ 8 , 9 ]. For instance, computational modeling of lung dynamics across multiple spatial scales may allow a deeper understanding of how mechanical changes at the alveolar and acinar levels affect lobar and whole-lung dynamics in CARDS.…”
Section: Introductionmentioning
confidence: 99%