{"id":1645,"date":"2023-12-20T14:43:31","date_gmt":"2023-12-20T13:43:31","guid":{"rendered":"https:\/\/rhu-shiva.com\/fr\/?p=1645"},"modified":"2023-12-21T15:32:52","modified_gmt":"2023-12-21T14:32:52","slug":"shiva-wmh-detection-automatisee-precoce-des-hypersignaux-de-la-substance-blanche-signes-de-maladies-des-petites-arteres-cerebrales","status":"publish","type":"post","link":"https:\/\/rhu-shiva.com\/fr\/blog\/2023\/12\/20\/shiva-wmh-detection-automatisee-precoce-des-hypersignaux-de-la-substance-blanche-signes-de-maladies-des-petites-arteres-cerebrales\/","title":{"rendered":"SHIVA-WMH : D\u00e9tection automatis\u00e9e pr\u00e9coce des hypersignaux de la substance blanche (signes de maladies des petites art\u00e8res c\u00e9r\u00e9brales)"},"content":{"rendered":"\n<p><em>Tsuchida A, Boutinaud P, Verrecchia V, Tzourio C, Debette S, Joliot M. Early detection of white matter hyperintensities using SHIVA-WMH detector. <strong>Hum Brain Mapp<\/strong>. 2023 Dec 5. doi: 10.1002\/hbm.26548. Epub ahead of print. PMID: 38050769.<\/em><\/p>\n\n\n\n<p>Dans cette nouvelle publication du projet SHIVA (workpackage 1, \u00e9tude SHIVA-MRI), le <a href=\"https:\/\/www.gin.cnrs.fr\/fr\/\" target=\"_blank\" rel=\"noreferrer noopener\">Groupe d&rsquo;Imagerie Neurofonctionnelle<\/a> propose un nouveau mod\u00e8le 3D bas\u00e9 sur l&rsquo;apprentissage profond, <strong>le d\u00e9tecteur SHIVA-WMH<\/strong>, avec une d\u00e9tection nettement am\u00e9lior\u00e9e des petites hypersignaux de la substance blanche, chez les sujets pr\u00e9sentant un large \u00e9ventail de ces l\u00e9sions, par rapport aux m\u00e9thodes de d\u00e9tection automatis\u00e9es existantes. Les hypersignaux de la substance blanche sont un des quatre signes sur les IRM c\u00e9r\u00e9brales de la maladie des petites art\u00e8res c\u00e9r\u00e9brales.<\/p>\n\n\n\n<p>En outre, ils d\u00e9montrent la pertinence des petites hypersignaux de la mati\u00e8re blanche trouv\u00e9es chez les jeunes adultes de l&rsquo;\u00e9tude <a href=\"https:\/\/www.i-share.fr\/mri-share-cest-quoi\/\" target=\"_blank\" rel=\"noreferrer noopener\">MRi-Share<\/a> en d\u00e9montrant des modifications de la microstructure de la substance blanche.<\/p>\n\n\n\n<p>Pour rappel, l\u2019objectif de l&rsquo;\u00e9tude SHIVA-MRI est de la quantification automatis\u00e9e et la diff\u00e9renciation de multiples biomarqueurs c\u00e9r\u00e9braux de la maladie des petites art\u00e8res c\u00e9r\u00e9brales (MPAC) sur IRM c\u00e9r\u00e9brale afin d\u2019am\u00e9liorer<strong> le diagnostic pr\u00e9coce et la stratification pronostique des patients atteints de MPAC occulte<\/strong> et ainsi <strong>d&rsquo;am\u00e9liorer la d\u00e9tection des sujets \u00e0 risque de d\u00e9mence et AVC<\/strong> (<a href=\"https:\/\/rhu-shiva.com\/fr\/workpackage\/\" target=\"_blank\" rel=\"noreferrer noopener\">voir infographie du worpackage 1 dans l&rsquo;espace participants<\/a>)<\/p>\n\n\n\n<p>La MPAC occulte est d\u00e9j\u00e0 d\u00e9tect\u00e9e dans diverses situations (patients soumis \u00e0 une IRM c\u00e9r\u00e9brale pour des troubles de la m\u00e9moire, des sympt\u00f4mes de fragilit\u00e9, le d\u00e9pistage de l\u00e9sions d&rsquo;organes cibles dues \u00e0 l&rsquo;hypertension ou au diab\u00e8te ; patients victimes d&rsquo;un AVC avec d\u00e9couverte d&rsquo;une MPAC occulte coexistante ; et, assez fr\u00e9quemment, d\u00e9couvertes fortuites \u00e9tant donn\u00e9 l&rsquo;utilisation de plus en plus fr\u00e9quente de l&rsquo;IRM c\u00e9r\u00e9brale). L&rsquo;objectif est d&rsquo;augmenter le nombre de patients atteints de MPAC occulte diagnostiqu\u00e9s en dotant les cliniciens et neuroradiologues d\u2019outils, logiciels qui d\u00e9tecteraient et quantifieraient automatiquement les signes de MPAC. Cette publication concerne l&rsquo;un de ces logiciels. <\/p>\n\n\n\n<p>Une meilleure d\u00e9tection et prise en charge de la MPAC occulte dans le cadre de ce projet SHIVA <strong>aurait un impact majeur sur la promotion du \u00ab\u00a0bien vieillir c\u00e9r\u00e9bral\u00a0\u00bb, la pr\u00e9vention du handicap et des co\u00fbts li\u00e9s aux accidents vasculaires c\u00e9r\u00e9braux, aux troubles cognitifs et \u00e0 la d\u00e9mence.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/rhu-shiva.com\/fr\/wp-content\/uploads\/sites\/5\/2023\/12\/Figure-GIN-publication-WMH_FR_12.2023-1-1024x576.jpg\" alt=\"\" class=\"wp-image-1651\" srcset=\"https:\/\/rhu-shiva.com\/fr\/wp-content\/uploads\/sites\/5\/2023\/12\/Figure-GIN-publication-WMH_FR_12.2023-1-1024x576.jpg 1024w, https:\/\/rhu-shiva.com\/fr\/wp-content\/uploads\/sites\/5\/2023\/12\/Figure-GIN-publication-WMH_FR_12.2023-1-300x169.jpg 300w, https:\/\/rhu-shiva.com\/fr\/wp-content\/uploads\/sites\/5\/2023\/12\/Figure-GIN-publication-WMH_FR_12.2023-1-768x432.jpg 768w, https:\/\/rhu-shiva.com\/fr\/wp-content\/uploads\/sites\/5\/2023\/12\/Figure-GIN-publication-WMH_FR_12.2023-1-260x146.jpg 260w, https:\/\/rhu-shiva.com\/fr\/wp-content\/uploads\/sites\/5\/2023\/12\/Figure-GIN-publication-WMH_FR_12.2023-1-50x28.jpg 50w, https:\/\/rhu-shiva.com\/fr\/wp-content\/uploads\/sites\/5\/2023\/12\/Figure-GIN-publication-WMH_FR_12.2023-1-133x75.jpg 133w, https:\/\/rhu-shiva.com\/fr\/wp-content\/uploads\/sites\/5\/2023\/12\/Figure-GIN-publication-WMH_FR_12.2023-1-1200x675.jpg 1200w, https:\/\/rhu-shiva.com\/fr\/wp-content\/uploads\/sites\/5\/2023\/12\/Figure-GIN-publication-WMH_FR_12.2023-1.jpg 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-vivid-cyan-blue-background-color has-background\" href=\"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/hbm.26548\" target=\"_blank\" rel=\"noreferrer noopener\">Lire l&rsquo;article scientifique<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Tsuchida A, Boutinaud P, Verrecchia V, Tzourio C, Debette S, Joliot M. Early detection of white matter hyperintensities using SHIVA-WMH detector. Hum Brain Mapp. 2023 Dec<span class=\"excerpt-hellip\"> [\u2026]<\/span><\/p>\n","protected":false},"author":4,"featured_media":1653,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[6,2],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>SHIVA-WMH : D\u00e9tection automatis\u00e9e pr\u00e9coce des hypersignaux de la substance blanche (signes de maladies des petites art\u00e8res c\u00e9r\u00e9brales) | RHU SHIVA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rhu-shiva.com\/fr\/blog\/2023\/12\/20\/shiva-wmh-detection-automatisee-precoce-des-hypersignaux-de-la-substance-blanche-signes-de-maladies-des-petites-arteres-cerebrales\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SHIVA-WMH : D\u00e9tection automatis\u00e9e pr\u00e9coce des hypersignaux de la substance blanche (signes de maladies des petites art\u00e8res c\u00e9r\u00e9brales) | RHU SHIVA\" \/>\n<meta property=\"og:description\" content=\"Tsuchida A, Boutinaud P, Verrecchia V, Tzourio C, Debette S, Joliot M. 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