{"id":63492,"date":"2022-12-05T13:37:44","date_gmt":"2022-12-05T12:37:44","guid":{"rendered":"https:\/\/cri1149.fr\/?post_type=publications&#038;p=63492"},"modified":"2025-09-11T16:47:59","modified_gmt":"2025-09-11T14:47:59","slug":"comparative-analysis-of-a-locally-resampling-mr-elastography-reconstruction-algorithm-in-liver-fibrosis","status":"publish","type":"publication","link":"https:\/\/cri1149.fr\/en\/publication\/comparative-analysis-of-a-locally-resampling-mr-elastography-reconstruction-algorithm-in-liver-fibrosis\/","title":{"rendered":"Comparative Analysis of a Locally Resampling MR Elastography Reconstruction Algorithm in Liver Fibrosis"},"content":{"rendered":"","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false},"category_publication":[],"class_list":["post-63492","publication","type-publication","status-publish","hentry"],"acf":{"numero_de_publication":"JMRI","date_de_publication":"20221130","numero_doi":"","equipe":[146],"auteurs-liste":[{"texte_libre":false,"auteur-lien":13186,"auteur-text":""},{"texte_libre":false,"auteur-lien":13208,"auteur-text":""},{"texte_libre":false,"auteur-lien":13135,"auteur-text":""},{"texte_libre":false,"auteur-lien":13166,"auteur-text":""},{"texte_libre":false,"auteur-lien":13161,"auteur-text":""},{"texte_libre":false,"auteur-lien":13162,"auteur-text":""},{"texte_libre":false,"auteur-lien":13077,"auteur-text":""}],"auteurs-manuel":"","liens_externes":null,"liens":[{"lien":"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/jmri.28543"}],"paragraphe":"[:fr]<h2 id=\"d1221483\" class=\"article-section__header section__title main abstractlang_en main\" style=\"text-align: justify;\">Abstract<\/h2>\r\n<div class=\"article-section__content en main\">\r\n<section id=\"jmri28543-sec-0001\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0001-title\" class=\"article-section__sub-title section1\">Background<\/h3>\r\n<p style=\"text-align: justify;\">In magnetic resonance elastography (MRE), the precision of the observed mechanical depends on the ratio between mechanical wavelength and spatial resolution. Since the mechanical wavelength may vary with actuation frequency, between patients and depending on position, a unique spatial resolution may not always generate an optimal ratio for multifrequency acquisitions, in patients with varying degrees of disease or in mechanically heterogeneous organs.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0002\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0002-title\" class=\"article-section__sub-title section1\">Purpose<\/h3>\r\n<p style=\"text-align: justify;\">To describe an MRE reconstruction algorithm that adjusts the ratio between shear wavelength and pixel size, by locally resampling the matrix of shear displacement, and to assess its performance relative to existing reconstructions in different use cases.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0003\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0003-title\" class=\"article-section__sub-title section1\" style=\"text-align: justify;\">Study Type<\/h3>\r\n<p>Prospective.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0004\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0004-title\" class=\"article-section__sub-title section1\">Population<\/h3>\r\n<p style=\"text-align: justify;\">Four phantoms, 20 healthy volunteers (5 men, median age 34, range 20\u201356) and 46 patients with nonalcoholic fatty liver disease (37 men, median age 63, range 33\u201383).<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0005\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0005-title\" class=\"article-section__sub-title section1\">Field Strength\/Sequence<\/h3>\r\n<p>A 3\u2009T; gradient-echo elastography sequence with 40\u2009Hz, 60\u2009Hz, and 80\u2009Hz frequencies.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0006\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0006-title\" class=\"article-section__sub-title section1\">Assessment<\/h3>\r\n<p style=\"text-align: justify;\">For each algorithm, phantoms stiffness were compared against their nominal values, repeatability was calculated in healthy volunteers, and diagnostic performance in detecting advanced liver fibrosis was assessed in 46 patients.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0007\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0007-title\" class=\"article-section__sub-title section1\">Statistical Tests<\/h3>\r\n<p style=\"text-align: justify;\">Linear regression was used to evaluate the agreement between stiffness values and phantoms stiffnesses. Bland\u2013Altman method was used to evaluate repeatability in volunteers. The ability to diagnose advanced fibrosis was assessed by receiver operating curve analysis (with Youden index thresholds). Significance was considered at\u00a0<i>P<\/i>\u00a0value of 0.05.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0008\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0008-title\" class=\"article-section__sub-title section1\">Results<\/h3>\r\n<p style=\"text-align: justify;\">From the linear regression, the slope closest to 1 is provided by MARS (40\u2009Hz) and k-MDEV (60H, 80\u2009Hz). Repeatability index was best with MDEV (23%) and lowest with k-MDEV (53%). The best performance in detecting advanced fibrosis was provided by MARS at 40\u2009Hz (area under the operating curve, AUC = 0.88), k-MDEV and MARS at 60\u2009Hz (AUC = 0.91), and multimodel direct inversion (MMDI) and MARS at 80\u2009Hz (AUC = 0.90).<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0009\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0009-title\" class=\"article-section__sub-title section1\" style=\"text-align: justify;\">Data Conclusion<\/h3>\r\n<p style=\"text-align: justify;\">MARS shows the best diagnostic performance to detect advanced fibrosis and the second-best results in phantoms after k-MDEV.<\/p>\r\n<\/section>\r\n<\/div>[:]","paragraphe_en":"[:fr]<h2 id=\"d1221483\" class=\"article-section__header section__title main abstractlang_en main\" style=\"text-align: justify;\">Abstract<\/h2>\r\n<div class=\"article-section__content en main\">\r\n<section id=\"jmri28543-sec-0001\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0001-title\" class=\"article-section__sub-title section1\">Background<\/h3>\r\n<p style=\"text-align: justify;\">In magnetic resonance elastography (MRE), the precision of the observed mechanical depends on the ratio between mechanical wavelength and spatial resolution. Since the mechanical wavelength may vary with actuation frequency, between patients and depending on position, a unique spatial resolution may not always generate an optimal ratio for multifrequency acquisitions, in patients with varying degrees of disease or in mechanically heterogeneous organs.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0002\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0002-title\" class=\"article-section__sub-title section1\">Purpose<\/h3>\r\n<p style=\"text-align: justify;\">To describe an MRE reconstruction algorithm that adjusts the ratio between shear wavelength and pixel size, by locally resampling the matrix of shear displacement, and to assess its performance relative to existing reconstructions in different use cases.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0003\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0003-title\" class=\"article-section__sub-title section1\" style=\"text-align: justify;\">Study Type<\/h3>\r\n<p>Prospective.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0004\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0004-title\" class=\"article-section__sub-title section1\">Population<\/h3>\r\n<p style=\"text-align: justify;\">Four phantoms, 20 healthy volunteers (5 men, median age 34, range 20\u201356) and 46 patients with nonalcoholic fatty liver disease (37 men, median age 63, range 33\u201383).<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0005\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0005-title\" class=\"article-section__sub-title section1\">Field Strength\/Sequence<\/h3>\r\n<p>A 3\u2009T; gradient-echo elastography sequence with 40\u2009Hz, 60\u2009Hz, and 80\u2009Hz frequencies.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0006\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0006-title\" class=\"article-section__sub-title section1\">Assessment<\/h3>\r\n<p style=\"text-align: justify;\">For each algorithm, phantoms stiffness were compared against their nominal values, repeatability was calculated in healthy volunteers, and diagnostic performance in detecting advanced liver fibrosis was assessed in 46 patients.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0007\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0007-title\" class=\"article-section__sub-title section1\">Statistical Tests<\/h3>\r\n<p style=\"text-align: justify;\">Linear regression was used to evaluate the agreement between stiffness values and phantoms stiffnesses. Bland\u2013Altman method was used to evaluate repeatability in volunteers. The ability to diagnose advanced fibrosis was assessed by receiver operating curve analysis (with Youden index thresholds). Significance was considered at\u00a0<i>P<\/i>\u00a0value of 0.05.<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0008\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0008-title\" class=\"article-section__sub-title section1\">Results<\/h3>\r\n<p style=\"text-align: justify;\">From the linear regression, the slope closest to 1 is provided by MARS (40\u2009Hz) and k-MDEV (60H, 80\u2009Hz). Repeatability index was best with MDEV (23%) and lowest with k-MDEV (53%). The best performance in detecting advanced fibrosis was provided by MARS at 40\u2009Hz (area under the operating curve, AUC = 0.88), k-MDEV and MARS at 60\u2009Hz (AUC = 0.91), and multimodel direct inversion (MMDI) and MARS at 80\u2009Hz (AUC = 0.90).<\/p>\r\n<\/section>\r\n<section id=\"jmri28543-sec-0009\" class=\"article-section__content\">\r\n<h3 id=\"jmri28543-sec-0009-title\" class=\"article-section__sub-title section1\" style=\"text-align: justify;\">Data Conclusion<\/h3>\r\n<p style=\"text-align: justify;\">MARS shows the best diagnostic performance to detect advanced fibrosis and the second-best results in phantoms after k-MDEV.<\/p>\r\n<\/section>\r\n<\/div>[:]","documents":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Comparative Analysis of a Locally Resampling MR Elastography Reconstruction Algorithm in Liver Fibrosis - CRI<\/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:\/\/cri1149.fr\/publication\/comparative-analysis-of-a-locally-resampling-mr-elastography-reconstruction-algorithm-in-liver-fibrosis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Comparative Analysis of a Locally Resampling MR Elastography Reconstruction Algorithm in Liver Fibrosis - 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