Hepatic tumor diagnosis by analysing dense transport fields in contrast-enhanced ultrasound

International audienceDynamic contrast agent enhanced ultrasound (DCEUS) is considered as a safe, noninvasive, accurate, and economic tool for analysing blood perfusion of various organs [1]. Gas-filled mi-crobubble contrast agents are used as intravascular flow tracers. In this study, a new methodology is proposed to quantify the divergence (i.e sources, sinks), curl (i.e sheering) and amplitude in the apparent microbubble transports during the bolus arrival. The efficiency of proposed methodology is evaluated in-vivo, for the classification of focal nodular hyperplasia (FNH) and inflammatory hepatic adenomas (I-HCA)

Hepatic tumor diagnosis by analysing dense transport fields in contrast-enhanced ultrasound

International audienceDynamic contrast agent enhanced ultrasound (DCEUS) is considered as a safe, noninvasive, accurate, and economic tool for analysing blood perfusion of various organs [1]. Gas-filled mi-crobubble contrast agents are used as intravascular flow tracers. In this study, a new methodology is proposed to quantify the divergence (i.e sources, sinks), curl (i.e sheering) and amplitude in the apparent microbubble transports during the bolus arrival. The efficiency of proposed methodology is evaluated in-vivo, for the classification of focal nodular hyperplasia (FNH) and inflammatory hepatic adenomas (I-HCA)

Fatal interstitial lung disease associated with oral erlotinib therapy for lung cancer

<p>Abstract</p> <p>Background</p> <p>Erlotinib is a Human Epidermal Growth Factor Receptor Type 1/tyrosine kinase (EGFR) inhibitor which is used for non-small-cell lung cancer treatment. Despite that erlotinib is considered to have a favorable safety profile, adverse events such as interstitial lung disease (ILD) were reported in pivotal studies. The authors report the first histologically confirmed case of fatal ILD associated with erlotinib therapy.</p> <p>Case Presentation</p> <p>The medical record of a patient who developed fatal ILD after receiving erlotinib treatment was reviewed to identify the cause of death and other factors potentially contributive to this adverse outcome. A 55-year-old smoker with no evidence of pre-existing interstitial disease developed bilateral ILD and respiratory failure which could be explained only as a toxicity of erlotinib. He had a history of stage IV left upper lobe squamous-cell carcinoma for which he had received three successive regimens of chemotherapy (ifosfamide plus gemcitabine, docetaxel, mitomycin plus navelbine), followed five months later by erlotinib. At initiation of erlotinib treatment there were no radiological signs suggestive of ILD disease or apparent clinical signs of respiratory distress. While the patient completed two months with erlotinib therapy he developed bilateral interstitial infiltrates; despite discontinuation of erlotinib he was admitted with respiratory failure two weeks later. Diagnostic work up for other causes of pneumonitis including infectious diseases, congestive cardiac failure and pulmonary infraction was negative. Empiric treatment with oxygene, corticosteroids and later with cyclophosphamide was ineffective and the patient progressively deteriorated and died. The clinical and post-mortem examination findings are presented and the possible association relationship between erlotinib induced ILD and previous chemotherapy is discussed.</p> <p>Conclusion</p> <p>Physicians should be alert to the fact that erlotinib related ILD, although infrequent, is potential fatal. The association between selective EGFR-inhibitors and ILD should be further investigated.</p

Estimation simultanée des équilibres de phases et des propriétés dérivées de fluides complexex à l'aide d'une approche SAFT-VR

Dans ce travail, une nouvelle équation d état basée sur l approche théorique SAFT-VR (Statistical associating Fluid Theory for potential of variable range) adaptée à l utilisation des potentiels Mie m-n, a été développée . L utilisation de ce type de potentiel intermoléculaire afin de modéliser les interactions attractives et répulsives couplée avec une nouvelle méthode d optimisation des paramètres moléculaires permet dorénavant une description précise des équilibres de phases et des propriétés dérivées de fluides complexes (compressibilité isotherme, coefficient d expansion isobare, capacité calorifique, vitesse du son, phénomène d inversion du coefficient de Joule-Thomson). Cette nouvelle équation a permis une très nette amélioration de l estimation des propriétés de compressibilité des milieux liquides denses par rapport aux autres modèles disponibles dans la littérature. Comme espéré de par le fondement du modèle, les estimations des propriétés thermophysiques ne se dégradent pas dans le cas des composés de longue chaîne moléculaire, et les paramètres du modèle évoluent de manière cohérente avec la longueur de chaîne. Compte tenu des résultats satisfaisants obtenus pour les alcanes et de la possibilité d intégrer dans le modèle un terme d association, le domaine d application a été étendu à aux composés associatifs. Des résultats majeurs viennent confirmer la consistance du modèle ; il s agit de la prédiction du coefficient d expansion isobare et de la capacité calorifique des alcools, propriétés aux comportements singuliers dans le cas des composés associés, souvent présentées comme un test discriminatoire pour les équations d état.In this work a new equation of state based on the SAFT-VR theory (Statistical associating Fluid Theory for potential of variable range) adapted for the use of Mie potentials m-n is derived. The incorporation of this to model the repulsive and attractive interactions together with a new method for optimizing the molecular parameters allows now for an accurate description of vapour-liquid equilibria and derivative properties of complex fluids (isothermal compressibility, thermal expansivity, heat capacities, speed of sound, Joule-Thomson inversion phenomenon). The new equation of state improves significantly other models available in literature in the condensed liquid region. Moreover due to the sound physical meaning to the approach, no deterioration of the results is found for long chain molecules and a clear dependence of the characteristic molecular parameters with the increasing chain length is obtained. Taking into account the good results obtained for alkanes and the possibility of incorporating an association term in the equation, we have extended the scope of the study to associating coumpounds. We have found that the model is able to reproduce the complex behaviour of the isobaric heat capacity and thermal expansivity which display singularities due to the formation of aggregates. The accurate modelling of these two special features which are often considered as discriminatory tests for equation of states emphasize the consistency of the model proposed.PAU-BU Sciences (644452103) / SudocSudocFranceF

Percutaneous irreversible electroporation for the treatment of pancreatic insulinoma

International audienceIrreversible electroporation (IRE) is a non-thermal ablative modal-ity that has been used for the treatment of locally advanced pancre-atic ductal adenocarcinoma [1]. However, its use for the treatment ofpancreatic neuroendocrine tumors has been rarely reported [2]. Wereport herein the use of IRE for the treatment of a pancreatic insuli-noma and discuss the potential of this innovative approach

Liver contrast-enhanced sonography: Computer-assisted differentiation between focal nodular hyperplasia and inflammatory hepatocellular adenoma by reference to microbubble transport patterns

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Automated needle localisation for electric field computation during an electroporation ablation

International audienceThe objective of this paper is to provide a stepforward towards the per procedural visualisation of the electric field distribution during a clinical irreversible electroporation (IRE) procedure. To this end, an automated workflow is needed to compute the electric field distribution on a single Cone Beam Computed Tomography (CBCT) scan. The aim of the current paper is to propose a deep learning strategy for the automatic segmentation of the needles. In particular, a novel coarse-to-fine approach is proposed to extract relevant needle information from the CBCT scan, despite inherent artefacts generated during capture. The obtained needle information is subsequently fed into a standard static linear model for the electric field computation. Since the setup is performed in the medical image framework, the electric field distribution and the region of interest are visible to provide to the radiologist a visual evaluation of the treatment. The segmentation results are evaluated on 8 of the 16 patients of the dataset using the Dice coefficient to compare the predicted segmentation with the ground truth. The proposed segmentation method is fast (around 2 minutes are needed with a commodity hardware), allowing its use in a clinical setting

Hepatic tumor diagnosis by analysing dense transport fields in contrast-enhanced ultrasound

Dynamic contrast agent enhanced ultrasound (DCEUS) is considered as a safe, noninvasive, accurate, and economic tool for analysing blood perfusion of various organs [1]. Gas-filled mi-crobubble contrast agents are used as intravascular flow tracers. In this study, a new methodology is proposed to quantify the divergence (i.e sources, sinks), curl (i.e sheering) and amplitude in the apparent microbubble transports during the bolus arrival. The efficiency of proposed methodology is evaluated in-vivo, for the classification of focal nodular hyperplasia (FNH) and inflammatory hepatic adenomas (I-HCA)