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A partir de l'écoulement complexe dans des géométries multi-échelles, un modèle réduit en temps et espace est proposé pour simuler des données réelles. Les données patient sont obtenues à l'aide de méthodes classiques (IRM, pression, vitesse Doppler) et sont ensuite intégrées, en particulier via la résistance 3D (analogie électrique). Le modèle est alors optimisé pour prédire les résultats expérimentaux.

Background & Aims Despite improvements in medical and surgical techniques, post-hepatectomy liver failure (PHLF) remains the leading cause of postoperative death. High postoperative portal vein pressure (PPV) and portocaval gradient (PCG), which cannot be predicted by current tools, are the most important determinants of PHLF. Therefore, we aimed to evaluate a digital twin to predict the risk of postoperative portal hypertension (PHT). Methods We prospectively included 47 patients undergoing major hepatectomy. A mathematical (0D) model of the entire blood circulation was assessed and automatically calibrated from patient characteristics. Hepatic flows were obtained from preoperative flow MRI (n = 9), intraoperative flowmetry (n = 16), or estimated from cardiac output (n = 47). Resection was then simulated in these 3 groups and the computed PPV and PCG were compared to intraoperative data. Results Simulated post-hepatectomy pressures did not differ between the 3 groups, comparing well with collected data (no significant differences). In the entire cohort, the correlation between measured and simulated PPV values was good (r = 0.66, no adjustment to intraoperative events) or excellent (r = 0.75) after adjustment, as well as for PCG (respectively r = 0.59 and r = 0.80). The difference between simulated and measured post-hepatectomy PCG was ≤3 mmHg in 96% of cases. Four patients suffered from lethal PHLF for whom the model satisfactorily predicted their postoperative pressures. Conclusions We demonstrated that a 0D model could correctly anticipate postoperative PHT, even using estimated hepatic flow rates as input data. If this major conceptual step is confirmed, this algorithm could change our practice toward more tailor-made procedures, while ensuring satisfactory outcomes. Lay summary Post-hepatectomy portal hypertension is a major cause of liver failure and death, but no tool is available to accurately anticipate this potentially lethal complication for a given patient. Herein, we propose using a mathematical model to predict the portocaval gradient at the end of liver resection. We tested this model on a cohort of 47 patients undergoing major hepatectomy and demonstrated that it could modify current surgical decision-making algorithms.

Introduction: The incidence of primary non-function (PNF) after liver transplantation (LT) remains a major concern with the increasing use of marginal grafts. Indocyanine green (ICG) fluorescence is an imaging technique used in hepatobiliary surgery and LT. Because few early predictors are available, we aimed to quantify in real time the fluorescence of grafts during LT to predict their 3 months survival. Patients and methods: After graft revascularization, ICG was intravenously injected, then the fluorescence of the graft was captured with a near infrared camera and postoperatively quantified. A multi-parametric modelling of the parenchymal fluorescence intensity curve was proposed, and a predictive model of graft survival was tested. Results: Between July 2017 and May 2019, 76 LT were included, among which 6 recipients were re-transplanted (re-LT+ ). No side effects of ICG injection were observed. The parameter a150 (temporal course of fluorescence intensity) was significantly higher in the group re-LT+ group (0.022s-1 [0.016-0.035] versus 0.012s-1 [0.009-0.015], p=0.01). This parameter was the only independent predictive factor of graft survival at 3 months (OR=2.4 CI95% [1.05-5.5] p=0.03). The best cut-off for the parameter a150 (0.0155s-1 ) predicted the graft survival at 3 months with a sensitivity of 83% and a specificity of 79% (AUC=0.82 [0.67-0.98], p=0.01). Conclusion: Quantitative assessment of intraoperative ICG fluorescence on the graft was feasible to predict graft survival at 3 months with a good sensitivity and specificity. Further prospective studies should validate these results over larger cohorts and evaluate the clinical impact of this tool.

International audience; he pulmonary circulation is comprised of the pulmonary vascular tree (arteries, capillaries, veins), the pulmonary parenchyma, and the process during which deoxygenated blood traverses the pulmonary vascular tree to become oxygenated before returning to the left heart. In contrast to the systemic circulation, the pulmonary circulation exists at a pressure one-sixth that of the systemic circulation. A variety of forms of congenital heart disease (CHD) include abnormalities of the pulmonary circulation, some of which may result in serious symptoms. Mathematical modeling has been increasingly used to characterize the pulmonary circulation and improve our understanding of pulmonary hemodynamics in acquired and congenital heart disease. This chapter presents the state-of-the-art considerations of and methods for modeling the pulmonary circulation. A brief introduction of the pulmonary circulation’s physiology is followed by a clinical overview of CHD-related pulmonary vascular abnormalities, a summary of current mathematical modeling techniques, and example of real-world application of these techniques.

International audience; No abstract available

ObjectivesPatient-specific multiscale modeling simulates virtual surgeries of the Fontan procedure using three different graft options. Predictive modeling details post-operative outcomes that can help inform clinical decision support.MethodsSix patients underwent preoperative cardiac magnetic resonance imaging and catheterization. Virtual surgery is carried out for each patient to test the resulting hemodynamics of three Fontan graft options: ECC, 9mm Y-graft, and 12mm Y-graft.Results1) one-way ANOVA p>0.998 in all systemic pressures and flows between graft options, 2) p=0.706 for hepatic flow distribution between graft options, 3) local power loss differences do not affect the systemic circulation, 4) anastomosis positioning modification of the same Y-graft in the same patient changed left PA hepatic distribution from 0.66 to 0.49ConclusionsSystemic pressures and blood flow after the Fontan procedure are not affected by graft selection but are well influenced by patient pulmonary vascular impedance. The hepatic distribution can be affected by anastomosis placement.Ultra-mini abstractWe present the first case series of patient-specific multiscale modeling of the Fontan procedure. Despite noticeable local power loss differences, graft selection does not affect systemic pressure and flow rates or other clinically relevant quantities. Anastomosis placement can affect hepatic distribution.

International audience; Mechanical forces are essential for proper growth and remodeling of the primitive pharyngeal arch arteries (PAAs) into the great vessels of the heart. Despite general acknowledgement of a hemodynamic-malformation link, the direct correlation between hemodynamics and PAA morphogenesis remains poorly understood. The elusiveness is largely due to difficulty in performing isolated hemodynamic perturbations andquantifying changes in-vivo. Previous in-vivo arch artery occlusion/ablation experiments either did not isolate the effects of hemodynamics, did not analyze the results in a 3D context or did not consider the effects of varying degrees of occlusion. Here, we overcome these limitations by combining minimally invasive occlusion experiments in the avian embryo with 3D anatomical models of development and in-silico testing ofexperimental phenomenon. We detail morphological and hemodynamic changes twenty-four hours post vessel occlusion. 3D anatomical models showed that occlusion geometries had more circular cross-sectional areas and more elongated arches than their control counterparts. Computational fluid dynamics revealed a marked change in wall shear stress-morphology trends. Instantaneous (in-silico) occlusion modelsprovided mechanistic insights into the dynamic vessel adaptation process, predicting pressure-area trends for a number of experimental occlusion arches. We follow the propagation of small defects in a single embryo Hamburger Hamilton (HH) Stage 18 embryo to a more serious defect in an HH29 embryo. Results demonstrate that hemodynamic perturbation of the presumptive aortic arch, through varying degrees of vessel occlusion, overrides natural growth mechanisms and prevents it from becoming the dominant arch of the aorta.

Patient-specific models of blood flow are being used clinically to diagnose and plan treatment for coronary artery disease. A remaining challenge is bridging scales from flow in arteries to the micro-circulation supplying the myocardium. Previously proposed models are descriptive rather than predictive and have not been applied to human data. The goal here is to develop a multiscale patient-specific model enabling blood flow simulation from large coronary arteries to myocardial tissue. Patient vasculatures are segmented from coronary computed tomography angiography data and extended from the image-based model down to the arteriole level using a space-filling forest of synthetic trees. Blood flow is modeled by coupling a 1D model of the coronary arteries to a single-compartment Darcy myocardium model. Simulated results on five patients with non-obstructive coronary artery disease compare overall well to [$$^{15}$$ 15 O]$$\text {H}_{{2}}$$ H 2 O PET exam data for both resting and hyperemic conditions. Results on a patient with severe obstructive disease link coronary artery narrowing with impaired myocardial blood flow, demonstrating the model’s ability to predict myocardial regions with perfusion deficit. This is the first report of a computational model for simulating blood flow from the epicardial coronary arteries to the left ventricle myocardium applied to and validated on human data.

International audience; When modeling a detoxifying organ function, an important component is the impact of flow on the metabolism of a compound of interest carried by the blood. We here study the effects of red blood cells (such as the Fahraeus-Lindqvist effect and plasma skimming) on blood flow in typical microcirculatory components such as tubes, bifurcations and entire networks, with particular emphasis on the liver as important representative of detoxifying organs. In one of the plasma skimming models, under certain conditions, oscillations between states are found and analyzed in a methodical study to identify their causes and influencing parameters. The flow solution obtained is then used to define the velocity at which a compound would be transported. A convection-reaction equation is studied to simulate the transport of a compound in blood and its uptake by the surrounding cells. Different types of signal sharpness have to be handled depending on the application to address different temporal compound concentration profiles. To permit executing the studied models numerically stable and accurate, we here extend existing transport schemes to handle converging bifurcations, and more generally multi-furcations. We study the accuracy of different numerical schemes as well as the effect of reactions and of the network itself on the bolus shape. Even though this study is guided by applications in liver micro-architecture, the proposed methodology is general and can readily be applied to other capillary network geometries, hence to other organs or to bioengineered network designs.

Small-molecule flux in tissue-microdomains is essential for organ function, but knowledge of this process is scant due to the lack of suitable methods. We developed two independent techniques that allow the quantification of advection (flow) and diffusion in individual bile canaliculi and in interlobular bile ducts of intact livers in living mice, namely Fluorescence Loss After Photoactivation (FLAP) and Intravital Arbitrary Region Image Correlation Spectroscopy (IVARICS). The results challenge the prevailing 'mechano-osmotic' theory of canalicular bile flow. After active transport across hepatocyte membranes bile acids are transported in the canaliculi primarily by diffusion. Only in the interlobular ducts, diffusion is augmented by regulatable advection. Photoactivation of fluorescein bis-(5-carboxymethoxy-2-nitrobenzyl)-ether (CMNB-caged fluorescein) in entire lobules demonstrated the establishment of diffusive gradients in the bile canalicular network and the sink function of interlobular ducts. In contrast to the bile canalicular network, vectorial transport was detected and quantified in the mesh of interlobular bile ducts. In conclusion, the liver consists of a diffusion dominated canalicular domain, where hepatocytes secrete small molecules and generate a concentration gradient and a flow-augmented ductular domain, where regulated water influx creates unidirectional advection that augments the diffusive flux.

The RAPID (Resection And Partial Liver Segment 2/3 Transplantation with Delayed total hepatectomy) concept is an innovative surgical procedure that was recently proposed to increase the availabilit...

Anatomical and physiological changes alter airflow characteristics and aerosol distribution in the developing lung. Correlation between age and aerosol dosimetry is needed, specifically because youth are more susceptible to medication side effects. In this study, we estimate aerosol dosages (particle diameters of 1, 3, and 5 $$\upmu$$ μ m) in a 3 month-old infant, a 6 year-old child, and a 36 year-old adult by performing whole lung subject-specific particle simulations throughout respiration. For 3 $$\upmu$$ μ m diameter particles we estimate total deposition as 88, 73, and $$66\%$$ 66 % and the conducting versus respiratory deposition ratios as 4.0, 0.5, and 0.4 for the infant, child, and adult, respectively. Due to their lower tidal volumes and functional residual capacities the deposited mass is smaller while the tissue concentrations are larger in the infant and child subjects, compared to the adult. Furthermore, we find that dose cannot be predicted by simply scaling by tidal volumes. These results highlight the need for additional clinical and computational studies that investigate the efficiency of treatment, while optimizing dosage levels in order to alleviate side effects, in youth.

International audience

Background Resection And Partial Liver Segment 2/3 Transplantation with Delayed total hepatectomy (RAPID) includes total hepatectomy in 2 steps with small graft transplantation at first stage. To avoid graft portal hyperperfusion, portal vein pressure monitoring is required after revascularization and right portal vein clamping. To date, portal flow modulation has not been reported but simulating hemodynamics in RAPID patients would be useful to anticipate these procedures. Our team developed hemodynamic 0D modeling; we aimed to assess if this mathematical model could be accurately used in the RAPID setting. Methods The modified 0D model was retrospectively tested on 3 patients. We compared our estimated portal vein pressures and portocaval gradients to those intraoperatively measured, as indication to modulate portal flow relies on these measures. Findings Portal pressures measured after right portal vein clamping (end of RAPID procedure) in patients 1, 2 and 3 were respectively of 14, 16 and 12 mmHg while the simulated pressures were of 13.1, 14.8 and 11.5 mmHg (p = 0.25). Portocaval gradients measured after right portal vein clamping in the 3 patients were respectively of 10, 11 and 7 mmHg while the simulated gradients were of 9.9, 11.6 and 8.3 mmHg (p = 0.5). Interpretation We succeeded to predict portal vein pressures and portocaval gradients after RAPID. This promising report demonstrates that 0D simulation could be a useful tool for human decision-making. Moreover, such a patient-specific model could be of importance if we transpose RAPID experience to hepatocellular carcinoma bearing cirrhotics, a population with high probability of portal hypertension after RAPID.

Introduction Sickle cell disease (SCD) is the most prevalent and severe monogenic disorder due to a mutation in the b-globin gene, responsible for the production of an abnormal hemoglobin (HbS) which polymerizes under hypoxia. Cerebral vasculopathy (CV) generally appearing during childhood, is responsible for ischemic stroke, making SCD the first etiology of stroke in children and young adults. To date, several biological and hemodynamical determinants have been identified in CV development such as severe anemia and/or high intracranial vascular flow velocities (> 200 cm/s). Chronic blood exchange transfusion decreases the risk of stroke in children having a pathological Doppler. However some patients still have a progressive impairment despite conventional treatment highlighting the need for new therapeutic strategies and a better understanding of the physiopathology. Therefore, by developing a 3D carotid model reproducing exactly vascular parameters of a SCD patient, we aim to: (i) determine the mechanisms of CV development in SCD, (ii) find new therapeutic approaches and (iii) predict the risk of progression of CV. Materials and methods Three-dimensional reconstructions of the internal carotid, middle cerebral and anterior cerebral artery from SCD patients were generated from magnetic resonance angiograms (MIMICS & 3Matics software, Materialise). We performed 3D simulations of the Navier-Stokes equations in patient specific geometries, including the state-of-the-art techniques of Computational Hemodynamics (multiscale coupling, backflow stabilization - FeLiSCe software) and other factors - such as the increase of the ejection fraction or the drop of peripheral resistances). Blood viscosity was based on a SCD cohort. Hemodynamic properties such as flow velocities (TMMV) and wall shear stress (WSS) in different areas of modelled carotid were then computed according to flow variations. Modelled carotid was obtained by 3D printing according to computer design (CATIA software). The next steps will consist in 1/importing doppler parameters from patients in a programmable pump for flow assays with blood mimicking fluid to measure TMMV and WSS at different areas in carotid, 2/incorporating resting or activated platelets in BMF to evaluate impact of high WSS on platelets degranulation, 3/developing a flow co-culture of smooth muscle cells (SMCs) and human umbilical vein endothelial cells (HUVECs) on carotid wall. HUVECs and SMCs at different zones of the carotid undergoing high/low WSS and oscillatory flow will be analysed Preliminary results Our preliminary results suggest that the carotid inlet flow but not blood viscosity is responsible for the pathological intra cranial velocities (Figure 1A). At high carotid inlet flow, areas of high and low WSS appeared in children (Figure 1B), suggesting the existence of turbulent flow that could lead to arterial wall damages. Figure 2A shows a 3D printed carotid reproducing the exact SCD child's one. The material of artificial carotid is compatible with HUVECs culture (Figure 2B) and fluidic experiment at high inlet flow (Figure 2C). On Doppler ultrasonography, the velocities measured in different sections of carotid were comparable to patient's data and these velocities were modified according to variations of inlet flow values. Conclusions and perspectives By modification of input conditions, our 3D personalized model can predict high or low vascular velocities areas and will allow a better understanding of the pathophysiological processes involved at the interface between abnormal flow and cells on carotid wall. This innovative model could be a pertinent tool to evaluate individually effectiveness of new therapeutic strategies in SCD patients. Furthermore, this work may constitute a proof of concept that can be transposed to other diseases. Disclosures Verlhac: Addmedica, Paris: Other: Financial Support; Bluebird Bio: Consultancy. Bartolucci:AddMedica: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; HEMANEXT: Membership on an entity's Board of Directors or advisory committees; Global Blood Therapeutics: Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees.

International audience; In this paper, we perform a verification study of the Coupled-Momentum Method (CMM), a 3D fluid-structure interaction (FSI) model which uses a thin linear elastic membrane and linear kinematics to describe the mechanical behavior of the vessel wall. The verification of this model is done using Womersley's deformable wall analytical solution for pulsatile flow in a semi-infinite cylindrical vessel. This solution is, under certain premises, the analytical solution of the CMM and can thus be used for model verification. For the numerical solution, we employ an impedance boundary condition to define a reflection-free outflow boundary condition and thus mimic the physics of the analytical solution, which is defined on a semi-infinite domain. We first provide a rigorous derivation of Womersley's deformable wall theory via scale analysis. We then illustrate different characteristics of the analytical solution such as space-time wave periodicity and attenuation. Finally, we present the verification tests comparing the CMM with Womersley's theory.

International audience; Abdominal aortic aneurysms (AAA) are localized, commonly occurring aortic dilations. Following rupture only immediate treatment can prevent morbidity and mortality. AAA maximal diameter and growth are the current metrics to evaluate the associated risk and plan intervention. Although these criteria alone lack patient specificity, predicting their evolution would improve clinical decision. If the disease is known to be associated with altered morphology and blood flow, intraluminal thrombus deposit and clinical symptoms, the growth mechanisms are yet to be fully understood. In this retrospective longitudinal study of 138 scans, morphological analysis and blood flow simulations for 32 patients with clinically diagnosed AAAs and several follow-up CT-scans, are performed and compared to 9 control subjects. Several metrics stratify patients between healthy, low and high risk groups. Local correlations between hemodynamic metrics and AAA growth are also explored but due to their high inter-patient variability, do not explain AAA heterogeneous growth. Finally, high-risk predictors trained with successively clinical, morphological, hemodynamic and all data, and their link to the AAA evolution are built from supervise learning. Predictive performance is high for morphological, hemodynamic and all data, in contrast to clinical data. The morphology-based predictor exhibits an interesting effort-predictability tradeoff to be validated for clinical translation.

Small-molecule flux in tissue-microdomains is essential for organ function, but knowledge of this process is scant due to the lack of suitable methods. We developed two independent techniques that allow the quantification of advection (flow) and diffusion in individual bile canaliculi and in interlobular bile ducts of intact livers in living mice, namely Fluorescence Loss After Photoactivation (FLAP) and Intravital Arbitrary Region Image Correlation Spectroscopy (IVARICS). The results challenge the prevailing ‘mechano-osmotic’ theory of canalicular bile flow. After active transport across hepatocyte membranes bile acids are transported in the canaliculi primarily by diffusion. Only in the interlobular ducts, diffusion is augmented by regulatable advection. Photoactivation of fluorescein bis-(5-carboxymethoxy-2-nitrobenzyl)-ether (CMNB-caged fluorescein) in entire lobules demonstrated the establishment of diffusive gradients in the bile canalicular network and the sink function of interlobular ducts. In contrast to the bile canalicular network, vectorial transport was detected and quantified in the mesh of interlobular bile ducts. In conclusion, the liver consists of a diffusion dominated canalicular domain, where hepatocytes secrete small molecules and generate a concentration gradient and a flow-augmented ductular domain, where regulated water influx creates unidirectional advection that augments the diffusive flux.One Sentence Summary/KeywordsBile flux proceeds by diffusion in canaliculi, augmented by advection in ducts.

Background: The hepatic volume gain following resection is essential for clinical recovery. Previous studies have focused on cellular regeneration. This study aims to explore the rate of hepatic regeneration of the porcine liver following major resection, highlighting estimates of the early microarchitectural changes that occur during the cellular regeneration. Methods: Nineteen large white pigs had 75% resection with serial measurements of the hepatic volume, density, blood flow, and architectural changes. Results: The growth rate initially was 45% per day, then rapidly decreased and was accompanied by a similar pattern of hepatic fat deposition. The architectural changes showed a significant increase in the Ki67 expression (p < 0.0001) in the days following resection with a peak on the 2nd day and nearly normalized on day 7. The expression of CD31 increased significantly on the 2nd and 3rd days compared to the pre-resection samples (p = 0.03). Hepatic artery flow per liver volume remained at baseline ranges during regeneration. Portal flow per liver volume increased after liver resection (p < 0.001), was still elevated on the 1st postoperative day, then decreased. Correlations were significantly negative between the hepatic volume increase on day 3 and the hepatic oxygen consumption and the net lactate production at the end of the procedure (r = –0.82, p = 0.01, and r = –0.70, p = 0.03). Conclusion: The volume increase in the first days – a fast process – is not explained by cellular proliferation alone. The liver/body weight ratio is back to 50% of the preoperative value after 3 days to close to 100% volume regain on days 10–15.

Introduction L’imagerie de fluorescence au vert d’indocyanine (ICG) s’est developpee en chirurgie hepatobiliaire et transplantation hepatique (TH), initialement par analyse qualitative des images et desormais avec quantification. L’incidence des non-fonctions primaires du greffon apres TH reste non negligeable et il n’existe que tres peu de facteurs predictifs precoces. L’objectif etait de quantifier en peroperatoire la fluorescence du greffon revascularise pour predire sa survie a 3 mois (groupe re-TH− versus re-TH + ). Methodes Apres revascularisation du greffon, injection peroperatoire d’ICG (0,01 mg/kg) et acquisition par une camera infrarouge (Fluobeam®, Fluoptics), une analyse quantitative de la fluorescence parenchymateuse etait effectuee, ainsi qu’une modelisation multiparametrique de sa courbe de fluorescence (modele incluant le parametre A, reflet de l’evolution temporelle). Resultats Depuis juillet 2017, 76 TH ont ete incluses dont 6 receveurs dans le groupe re-TH+. Le parametre A etait significativement plus eleve dans le groupe re-TH+ (0,022 [0,016 ; 0,035]) versus re-TH− (0,012 [0,009 ; 0,015]), p = 0,009. Le parametre A etait le seul facteur predictif independant de survie du greffon a 3 mois. Une courbe ROC permettait de definir la meilleure valeur de A (0,0155) et de predire la survie du greffon a 3 mois avec une sensibilite de 83,3 % et une specificite de 78,6 % (AUC 0,824 [0,669 ; 0,979], p = 0,009). Conclusion L’analyse quantitative de la fluorescence a l’ICG du greffon est faisable pour predire sa survie a 3 mois avec de bonnes performances. Une etude ulterieure doit valider ces resultats sur une plus grande cohorte et evaluer l’impact clinique de cet outil.

Background The hepatic hemodynamics is an essential parameter in surgical planning as well as in various disease processes. The transit time ultrasound (TTUS) perivascular flow probe technology is widely used in clinical practice to evaluate the hepatic inflow, yet invasive. The phase-contrast-MRI (PC-MRI) is not invasive and potentially applicable in assessing the hepatic blood flow. In the present study, we compared the hepatic inflow rates using the PC-MRI and the TTUS probe, and evaluated their predictive value of post-hepatectomy adverse events. Methods Eighteen large white pigs were anaesthetized for PC-MRI and approximately 75% hepatic resection was performed under a unified protocol. The blood flow was measured in the hepatic artery (Qha), the portal vein (Qpv), and the aorta above the celiac trunk (Qca) using PC-MRI, and was compared to the TTUS probe. The Bland-Altman method was conducted and a partial least squares regression (PLS) model was implemented. Results The mean Qpv measured in PC-MRI was 0.55 ± 0.12 L/min, and in the TTUS probe was 0.74 ± 0.17 L/min. Qca was 1.40 ± 0.47 L/min in the PC-MRI and 2.00 ± 0.60 L/min in the TTUS probe. Qha was 0.17 ± 0.10 L/min in the PC-MRI, and 0.13 ± 0.06 L/min in the TTUS probe. The Bland-Altman method revealed that the estimated bias of Qca in the PC-MRI was 32% (95% CI: −49% to 15%); Qha 17% (95% CI: −15% to 51%); and Qpv 40% (95% CI: −62% to 18%). The TTUS probe had a higher weight in predicting adverse outcomes after 75% resection compared to the PC-MRI (β= 0.35 and 0.43 vs β = 0.22 and 0.07, for tissue changes and premature death, respectively). Conclusions There is a tendency of the PC-MRI to underestimate the flow measured by the TTUS probes. The TTUS probe measures are more predictive of relevant post-hepatectomy outcomes.

In asthma and chronic obstructive pulmonary disease, some airways of the tracheobronchial tree can be constricted, from moderate narrowing up to closure. Those pathological patterns of obstructions affect the lung ventilation distribution. While some imaging techniques enable visualization and quantification of constrictions in proximal generations, no noninvasive technique exists to provide the airway morphology and obstruction distribution in distal areas. In this work, we propose a method that exploits lung ventilation measures to access positions of airway obstructions (restrictions and closures) in the tree. This identification approach combines a lung ventilation model, in which a 0D tree is strongly coupled to a 3D parenchyma description, along with a machine learning approach. On the basis of synthetic data generated with typical temporal and spatial resolutions as well as reconstruction errors, we obtain very encouraging results of the obstruction distribution, with a detection rate higher than 85%.

Post-operative liver failure (POLF) remains the leading cause of death after partial hepatectomy, the partial resection of the liver. Similarly, after liver transplantation (LT) of a whole or parti...