{"id":1608,"date":"2020-12-04T14:32:36","date_gmt":"2020-12-04T13:32:36","guid":{"rendered":"http:\/\/www.biomaps.universite-paris-saclay.fr\/?page_id=1608"},"modified":"2021-08-30T10:18:56","modified_gmt":"2021-08-30T08:18:56","slug":"utilisation-de-signaux-multiparametriques-multimodaux-pour-la-caracterisation-in-vivo-de-processus-physiopathologiques-complexes-en-tep-irm","status":"publish","type":"page","link":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/utilisation-de-signaux-multiparametriques-multimodaux-pour-la-caracterisation-in-vivo-de-processus-physiopathologiques-complexes-en-tep-irm\/","title":{"rendered":"Utilisation de signaux multiparam\u00e9triques multimodaux pour la caract\u00e9risation in vivo de processus physiopathologiques complexes en TEP-IRM."},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1608\" class=\"elementor elementor-1608\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7518bdd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7518bdd\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-11e1dce\" data-id=\"11e1dce\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a21e178 elementor-widget elementor-widget-text-editor\" data-id=\"a21e178\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p class=\"has-medium-font-size\"><strong>Rationnel m\u00e9dico-scientifique<\/strong><\/p>\n<p class=\"has-medium-font-size\">\nL\u2019\u00e9mergence r\u00e9cente de dispositifs TEP-IRM compl\u00e8tement int\u00e9gr\u00e9s, v\u00e9ritable prouesse technologique, offre de vraies possibilit\u00e9s d\u2019\u00e9volution disruptive de nos capacit\u00e9s d\u2019analyse multimodale quantitative : les propri\u00e9t\u00e9s quantitatives intrins\u00e8ques de l\u2019imagerie TEP, extr\u00eamement sensible (r\u00e9solution picomolaire), coupl\u00e9es \u00e0 la tr\u00e8s grande flexibilit\u00e9 d\u2019imagerie de contraste de l\u2019IRM, permettent, \u00e0 partir d\u2019un protocole d\u2019acquisition TEP-IRM, d\u2019acqu\u00e9rir de mani\u00e8re simultan\u00e9e de multiples param\u00e8tres structurels et fonctionnels tissulaires, notamment : morphologie, densit\u00e9 cellulaire, relaxom\u00e9trie T1\/T2, composition graisseuse, perfusion \/ vascularisation, m\u00e9tabolisme.<\/p>\n<p class=\"has-medium-font-size\">\nA l\u2019\u00e8re de la m\u00e9decine de pr\u00e9cision, ces approches multiparam\u00e9triques innovantes offrent des perspectives prometteuses pour mieux caract\u00e9riser\/comprendre des processus physiopathologiques complexes tels que l\u2019h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9 tumorale, facteur majeur actuel de r\u00e9sistance aux traitements.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-8a9c533\" data-id=\"8a9c533\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b9c20b9 elementor-widget elementor-widget-image\" data-id=\"b9c20b9\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"500\" height=\"269\" src=\"https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm-500x269.jpg\" class=\"attachment-large size-large wp-image-1610\" alt=\"\" srcset=\"https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm-500x269.jpg 500w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm-150x81.jpg 150w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm-768x413.jpg 768w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm.jpg 1376w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Fig 1: int\u00e9gration compl\u00e8te IRM-TEP. Deux concepts d\u2019imagerie synergiques. <\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e76a18a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e76a18a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-96d789a\" data-id=\"96d789a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-00596fc elementor-widget elementor-widget-image\" data-id=\"00596fc\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"500\" height=\"202\" src=\"https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm2-500x202.jpg\" class=\"attachment-large size-large wp-image-1611\" alt=\"\" srcset=\"https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm2-500x202.jpg 500w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm2-150x61.jpg 150w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm2-768x310.jpg 768w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm2-1536x620.jpg 1536w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/12\/tepirm2.jpg 1926w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Fig 2 : Imagerie multiparam\u00e9trique TEP-IRM d\u2019une tumeur pulmonaire : densit\u00e9 cellulaire (ADC), propri\u00e9t\u00e9s magn\u00e9tiques tissulaires (T1 et T2), perfusion \/ vascularisation (Ktrans, Kep, ve, vp), M\u00e9tabolisme glucidique (K1, k2, k3, vb, MRGlu). L\u2019approche multidimensionnelle fournit une information originale unique du comportement physiopathologique de la tumeur. <\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a635aa2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a635aa2\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9b94723\" data-id=\"9b94723\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1af1144 elementor-widget elementor-widget-text-editor\" data-id=\"1af1144\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p class=\"has-medium-font-size\"><strong>Environnement scientifique<\/strong><\/p><p class=\"has-medium-font-size\">Le dispositif TEP-IRM 3T du laboratoire BioMaps (Signa PET-MR, GE Healthcare, Waukesha, WI, USA), financ\u00e9 par le programme national \u00ab\u00a0Investissement d\u2019avenir\u00a0\u00bb de l\u2019Agence Nationale de la Recherche et de \u00ab\u00a0l\u2019infrastructure d\u2019avenir en Biologie Sant\u00e9\u00a0\u00bb France Life Imaging (grant ANR-11-INBS-0006), dispose d\u2019un \u00e9cosyst\u00e8me de recherche m\u00e9dico-scientifique unique en France\u00a0:<\/p><ul><li style=\"list-style-type: none;\"><ul><li class=\"has-medium-font-size\">Comp\u00e9tences m\u00e9thodologiques synergiques en instrumentation IRM et reconstruction TEP<\/li><li class=\"has-medium-font-size\">Environnement m\u00e9dical\u00a0: GHU Paris Saclay (AP-HP, plus grand CHU d\u2019Europe) et Institut Gustave Roussy (1<sup>er<\/sup> centre de lutte contre le cancer Europ\u00e9en).<\/li><\/ul><\/li><\/ul><p><strong>\u00a0<\/strong><strong style=\"font-family: var( --e-global-typography-text-font-family ), Sans-serif;\">R\u00e9f\u00e9rences<\/strong><\/p><ol><li>F. Besson, B. Fernandez, S. Faure, O. Mercier, A. Seferian, E. Blanchet, X. Mignard, A. Chetouani, S. Bulifon, S. Mussot, F. Parent, F. Bouderraoui, D. Montani, D. Mitilian, E. Fadel, M.-R. Ghigna-Bellinzoni, H. Cherkaoui, C. Comtat, V. Lebon, E. Durand.\u00a0<strong><em>Diffusion-weighted Imaging Voxelwise-matched Analyses of Lung Cancer at 3.0-T PET\/MRI: Reverse Phase Encoding Approach for Echo-planar Imaging Distortion Correction.<\/em><\/strong>Radiology.\u00a0<a href=\"https:\/\/pubs.rsna.org\/doi\/10.1148\/radiol.2020192013\"><strong>DOI:\u00a010.1148\/radiol.<\/strong><\/a><a href=\"https:\/\/pubs.rsna.org\/doi\/10.1148\/radiol.2020192013\"><strong>2020192013<\/strong><\/a>, 2020.<strong>\u00a0<\/strong><\/li><\/ol><ol start=\"2\"><li>F. Besson, B. Fernandez, S. Faure, O. Mercier, A. Seferian, X. Mignard, S. Mussot, C. le Pechoux, C. Caramella, A. Botticella, A. Levy, F. Parent, S. Bulifon, D.\u00a0 Montani, D. Mitilian, E. Fadel, D. Planchard, B. Besse, M.-R. Ghigna-Bellinzoni, C. Comtat, V. Lebon,\u00a0 E. Durand.\u00a0<strong><em><sup>18<\/sup><\/em><\/strong><strong><em>F-FDG PET and DCE kinetic modeling and their correlations in primary NSCLC: first voxel-wise correlative analysis of human simultaneous <sup>18<\/sup>F-FDG PET-MRI data. <\/em><\/strong>EJNMMI Research.\u00a0<a href=\"https:\/\/ejnmmires.springeropen.com\/articles\/10.1186\/s13550-020-00671-9\"><strong>DOI:\u00a010.1186\/s13550-020-00671-9<\/strong><\/a>, 2020.<\/li><\/ol><ol start=\"3\"><li>F. Besson, B. Fernandez, S. Faure, O. Mercier, A. Seferian, S. Mussot, A. Levy, F. Parent, S. Bulifon, X. Jais, D. Montani, D. Mitilian, E. Fadel, D. Planchard, M.\u00a0 Ghigna-Bellinzoni, C. Comtat, V. Lebon, E. Durand.\u00a0<em><strong>Fully Integrated Quantitative Multiparametric Analysis of Non-Small Cell Lung Cancer at 3-T PET\/MRI: Toward One-Stop-Shop Tumor Biological Characterization at the Supervoxel Level<\/strong>.\u00a0<\/em>Clin Nucl Med. vol. 46(9) pp. 440-447.\u00a0<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/34374682\/\" target=\"_blank\" rel=\"noopener\">doi: 10.1097\/RLU.0000000000003680<\/a>, 2021.<\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Rationnel m\u00e9dico-scientifique L\u2019\u00e9mergence r\u00e9cente de dispositifs TEP-IRM compl\u00e8tement int\u00e9gr\u00e9s, v\u00e9ritable prouesse technologique, offre de vraies possibilit\u00e9s d\u2019\u00e9volution disruptive de nos capacit\u00e9s d\u2019analyse multimodale quantitative : les propri\u00e9t\u00e9s quantitatives intrins\u00e8ques de l\u2019imagerie TEP, extr\u00eamement sensible (r\u00e9solution picomolaire), coupl\u00e9es \u00e0 la tr\u00e8s grande flexibilit\u00e9 d\u2019imagerie de contraste de l\u2019IRM, permettent, \u00e0 partir d\u2019un protocole d\u2019acquisition TEP-IRM, d\u2019acqu\u00e9rir [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":615,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"guten_post_layout_featured_media_urls":{"full":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-e1609957375858.png",750,126,false],"thumbnail":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-100x100.png",100,100,true],"medium":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-150x25.png",150,25,true],"medium_large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-768x129.png",640,108,true],"large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-500x84.png",500,84,true],"1536x1536":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-1536x257.png",1536,257,true],"2048x2048":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-e1609957375858.png",750,126,false],"guten_post_layout_landscape_large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-1200x318.png",1200,318,true],"guten_post_layout_portrait_large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-1200x318.png",1200,318,true],"guten_post_layout_square_large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-1200x318.png",1200,318,true],"guten_post_layout_landscape":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-600x318.png",600,318,true],"guten_post_layout_portrait":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-600x318.png",600,318,true],"guten_post_layout_square":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-600x318.png",600,318,true],"sciencex-single-team-thumb":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-360x270.png",360,270,true],"sciencex-team-thumbnail":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-263x216.png",263,216,true],"sciencex-event-thumbnail":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-555x318.png",555,318,true],"sciencex-event-gallery-thumb":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-227x168.png",227,168,true],"sciencex-blog-thumb":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-100x80.png",100,80,true]},"_links":{"self":[{"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/pages\/1608"}],"collection":[{"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/comments?post=1608"}],"version-history":[{"count":22,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/pages\/1608\/revisions"}],"predecessor-version":[{"id":3056,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/pages\/1608\/revisions\/3056"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/media\/615"}],"wp:attachment":[{"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/media?parent=1608"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}