Dispositifs structurés de télétravail à l’échelle d’une collectivité : conseils et outils

Intervention de Pierre-Yves Genet, directeur de projets, démarche travailler autrement, Coopération-Innovation-Transformation, direction générale des services - Ville de Lyon

Mécanique pulmonaire personnalisée : modélisation et estimation - Application à la fibrose pulmonaire

International audienc

Personalized Pulmonary Poromechanics in Health and Idiopathic Pulmonary Fibrosis

International audienc

Personalized Pulmonary Poromechanics in Health and Idiopathic Pulmonary Fibrosis

International audienc

Personalized pulmonary poromechanics

International audienceLung biomechanics has been extensively studied by physiologists, experimentally as well as theoretically, laying the ground for our current fundamental understanding of the relationship between function and mechanical behavior. However, many questions remain, notably in the intricate coupling between the multiple constituents. These fundamental questions represent real clinical challenges, as pulmonary diseases are an important health burden. Interstitial lung diseases, for instance, affect several million people globally. Idiopathic Pulmonary Fibrosis (IPF), notably, a progressive form of interstitial lung diseases where some alveolar septa get thicker and stiffer while others get completely damaged, remains poorly understood, poorly diagnosed, and poorly treated (Nunes et al. 2015)

Télétravail : quels impacts sur les pratiques managériales, le travail en équipe, les compétences et les organisations ?

Largement favorisées par la période récente de confinement, de nouvelles méthodes de travail se sont imposées aux professionnels des bibliothèques universitaires et territoriales. La journée d’étude se propose de dresser le bilan de ces nouvelles pratiques dans le travail des équipes comme du management et de tirer parti de l’expérience du confinement pour ouvrir de nouvelles perspectives

Comparison of optimization parametrizations for regional lung compliance estimation using personalized pulmonary poromechanical modeling

International audienceInterstitial lung diseases, such as idiopathic pulmonary fibrosis (IPF) or post-COVID-19 pulmonary fibrosis, are progressive and severe diseases characterized by an irreversible scarring of interstitial tissues that affects lung function. Despite many efforts, these diseases remain poorly understood and poorly treated. In this paper, we propose an automated method for the estimation of personalized regional lung compliances based on a poromechanical model of the lung. The model is personalized by integrating routine clinical imaging data-namely computed tomography images taken at two breathing levels in order to reproduce the breathing kinematic-notably through an inverse problem with fully personalized boundary conditions that is solved to estimate patient-specific regional lung compliances. A new parametrization of the inverse problem is introduced in this paper, based on the combined estimation of a personalized breathing pressure in addition to material parameters, improving the robustness and consistency of estimation results. The method is applied to three IPF patients and one post-COVID-19 patient. This personalized model could help better understand the role of mechanics in pulmonary remodeling due to fibrosis; moreover, patient-specific regional lung compliances could be used as an objective and quantitative biomarker for improved diagnosis and treatment follow up for various interstitial lung diseases

Estimation of patient-specific mechanical parameters in pulmonary diseases

International audienc

Estimation of regional pulmonary compliance in idiopathic pulmonary fibrosis based on personalized lung poromechanical modeling

International audiencePulmonary function is tightly linked to the lung mechanical behavior, especially large deforma-tion during breathing. Interstitial lung diseases, such as Idiopathic Pulmonary Fibrosis (IPF), havean impact on the pulmonary mechanics and consequently alter lung function. However, IPF re-mains poorly understood, poorly diagnosed and poorly treated. Currently, the mechanical impactof such diseases is assessed by pressure-volume curves, giving only global information. We de-veloped a poromechanical model of the lung that can be personalized to a patient based on routineclinical data. The personalization pipeline uses clinical data, mainly CT-images at two time stepsand involves the formulation of an inverse problem to estimate regional compliances. The estima-tion problem can be formulated both in terms of “effective”, i.e., without considering the mixtureporosity, or “rescaled”, i.e., where the first-order effect of the porosity has been taken into account,compliances. Regional compliances are estimated for one control subject and three IPF patients,allowing to quantify the IPF-induced tissue stiffening. This personalized model could be used in theclinic as an objective and quantitative tool for IPF diagnosis

Personalized pulmonary poromechanics in health, idiopathic pulmonary fibrosis and CoViD-19

International audienceThis abstract briefly describes our recent lung poromechanical model, and its associated model personalization procedure based on routine clinical data (thoracic scanners at end-expiration and endinspiration). The final aim of the personalized modeling pipeline is to provide automatic and objective diagnosis tools for fibrosing interstitial lung diseases, in the form of estimated regional stiffness maps. Here we present early results on three idiopathic pulmonary fibrosis patients and one COVID-19 patient. In the presentation we will detail the impact of various parameters of the method