{"id":57337,"date":"2022-03-16T14:46:18","date_gmt":"2022-03-16T13:46:18","guid":{"rendered":"https:\/\/cri1149.mlcom-dev.net\/?post_type=publications&#038;p=57337"},"modified":"2025-09-11T16:47:59","modified_gmt":"2025-09-11T14:47:59","slug":"stability-of-radiomics-features-in-apparent-diffusion-coefficient-maps-from-a-multi-centre-test-retest-trial","status":"publish","type":"publication","link":"https:\/\/cri1149.mlcom-dev.net\/en\/publication\/stability-of-radiomics-features-in-apparent-diffusion-coefficient-maps-from-a-multi-centre-test-retest-trial\/","title":{"rendered":"Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial"},"content":{"rendered":"","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"class_list":["post-57337","publication","type-publication","status-publish","hentry"],"acf":{"numero_de_publication":"Scientific Reports","date_de_publication":"20190318","numero_doi":"","equipe":[146],"auteurs-liste":[{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Jurgen Peerlings[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Henry C. Woodruff[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Jessica M. Winfield[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Abdalla Ibrahim[:]"},{"texte_libre":false,"auteur-lien":13162,"auteur-text":""},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Arend Heerschap[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Alan Jackson[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Joachim E. Wildberger[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Felix M. Mottaghy[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Nandita M. DeSouza[:]"},{"texte_libre":true,"auteur-lien":null,"auteur-text":"[:fr]Philippe Lambin [:]"}],"auteurs-manuel":"","liens_externes":null,"liens":[{"lien":"https:\/\/www.nature.com\/articles\/s41598-019-41344-5"}],"paragraphe":"[:fr]<h2 id=\"Abs1\" class=\"c-article-section__title js-section-title js-c-reading-companion-sections-item\" style=\"text-align: justify;\">Abstract<\/h2>\r\n<div id=\"Abs1-content\" class=\"c-article-section__content\">\r\n<p style=\"text-align: justify;\">Quantitative radiomics features, extracted from medical images, characterize tumour-phenotypes and have been shown to provide prognostic value in predicting clinical outcomes. Stability of radiomics features extracted from apparent diffusion coefficient (ADC)-maps is essential for reliable correlation with the underlying pathology and its clinical applications. Within a multicentre, multi-vendor trial we established a method to analyse radiomics features from ADC-maps of ovarian (n\u2009=\u200912), lung (n\u2009=\u200919), and colorectal liver metastasis (n\u2009=\u200930) cancer patients who underwent repeated (&lt;7 days) diffusion-weighted imaging at 1.5\u2009T and 3\u2009T. From these ADC-maps, 1322 features describing tumour shape, texture and intensity were retrospectively extracted and stable features were selected using the concordance correlation coefficient (CCC\u2009&gt;\u20090.85). Although some features were tissue- and\/or respiratory motion-specific, 122 features were stable for all tumour-entities. A large proportion of features were stable across different vendors and field strengths. By extracting stable phenotypic features, fitting-dimensionality is reduced and reliable prognostic models can be created, paving the way for clinical implementation of ADC-based radiomics.<\/p>\r\n<\/div>[:]","paragraphe_en":"[:fr]<h2 id=\"Abs1\" class=\"c-article-section__title js-section-title js-c-reading-companion-sections-item\" style=\"text-align: justify;\">Abstract<\/h2>\r\n<div id=\"Abs1-content\" class=\"c-article-section__content\">\r\n<p style=\"text-align: justify;\">Quantitative radiomics features, extracted from medical images, characterize tumour-phenotypes and have been shown to provide prognostic value in predicting clinical outcomes. Stability of radiomics features extracted from apparent diffusion coefficient (ADC)-maps is essential for reliable correlation with the underlying pathology and its clinical applications. Within a multicentre, multi-vendor trial we established a method to analyse radiomics features from ADC-maps of ovarian (n\u2009=\u200912), lung (n\u2009=\u200919), and colorectal liver metastasis (n\u2009=\u200930) cancer patients who underwent repeated (&lt;7 days) diffusion-weighted imaging at 1.5\u2009T and 3\u2009T. From these ADC-maps, 1322 features describing tumour shape, texture and intensity were retrospectively extracted and stable features were selected using the concordance correlation coefficient (CCC\u2009&gt;\u20090.85). Although some features were tissue- and\/or respiratory motion-specific, 122 features were stable for all tumour-entities. A large proportion of features were stable across different vendors and field strengths. By extracting stable phenotypic features, fitting-dimensionality is reduced and reliable prognostic models can be created, paving the way for clinical implementation of ADC-based radiomics.<\/p>\r\n<\/div>[:]","documents":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial - CRI<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial - CRI\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cri1149.mlcom-dev.net\/publication\/stability-of-radiomics-features-in-apparent-diffusion-coefficient-maps-from-a-multi-centre-test-retest-trial\/\" \/>\n<meta property=\"og:site_name\" content=\"CRI\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/CRI-Centre-de-recherche-sur-linflammation-100116118884153\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-11T14:47:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/cri1149.mlcom-dev.net\/publication\/stability-of-radiomics-features-in-apparent-diffusion-coefficient-maps-from-a-multi-centre-test-retest-trial\/\",\"url\":\"https:\/\/cri1149.mlcom-dev.net\/publication\/stability-of-radiomics-features-in-apparent-diffusion-coefficient-maps-from-a-multi-centre-test-retest-trial\/\",\"name\":\"Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial - 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