{"id":62,"date":"2020-04-14T13:58:45","date_gmt":"2020-04-14T12:58:45","guid":{"rendered":"https:\/\/demosites.io\/doctor-gb\/?p=62"},"modified":"2021-01-04T13:50:15","modified_gmt":"2021-01-04T13:50:15","slug":"radiomic-dosiomic","status":"publish","type":"post","link":"https:\/\/www.pi.infn.it\/aim\/predictivemodels\/radiomic-dosiomic\/","title":{"rendered":"Radiomic and dosiomic profiling of paediatric medulloblastoma tumours treated with intensity modulated radiation therapy"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Abstract<\/h2>\n\n\n\n<p>The aim of this work is to describe the state of progress of a study developed in the framework of AIM (Artificial Intelligence in Medicine). It is a project funded by INFN, Italy, and it involves researchers from INFN, Hospital Meyer and Radiotherapy Unit of University of Florence. The aim of the proposed study is to apply a retrospective exploratory MR-CT-based radiomics and dosiomic analysis based on emerging machine-learning technologies, to investigate imaging biomarkers of clinical outcomes in paediatric patients affected by medulloblastoma, from images. Features from MR-CT scans will be associated with overall survival, recurrence-free survival, and loco-regional recurrence-free survival after intensity modulated radiotherapy. Dosimetric analysis data will be integrated with the objective of increase predictive value. This approach could have a large impact for precision medicine, as radiomic biomarkers are non-invasive and can be applied to imaging data that are already acquired in clinical settings.<\/p>\n\n\n\n<p>Authors: Cinzia\u00a0Talamonti, Stefano\u00a0Piffer, Daniela\u00a0Greto, Monica\u00a0Mangoni, Antonio\u00a0Ciccarone, Paolo\u00a0Dicarolo, Maria\u00a0Evelina\u00a0Fantacci, Franco\u00a0Fusi, Piernicola\u00a0Oliva, Letizia\u00a0Palumbo, Claudio\u00a0Favre, Lorenzo\u00a0Livi, Stefania\u00a0Pallotta, Alessandra\u00a0Retico<\/p>\n\n\n\n<p>Published paper: Talamonti, C; Piffer, S; Greto, D; Mangoni, M; Ciccarone, A; Dicarolo, P; Fantacci, ME; Fusi, F; Oliva, P; Palumbo, L; Favre, C; Livi, L; Pallotta, S; Retico, A,\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-29930-9_6\" target=\"_blank\">Radiomic and dosiomic profiling of paediatric medulloblastoma tumours treated with intensity modulated radiation therap<\/a>y, Communications in Computer and Information Science,56-64,2019, 10.1007\/978-3-030-29930-9_6<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract The aim of this work is to describe the state of progress of a study developed in the framework of AIM (Artificial Intelligence in Medicine). It is a project funded by INFN, Italy, and it involves researchers from INFN, Hospital Meyer and Radiotherapy Unit of University of Florence. The aim of the proposed study&hellip;&nbsp;<a href=\"https:\/\/www.pi.infn.it\/aim\/predictivemodels\/radiomic-dosiomic\/\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">Radiomic and dosiomic profiling of paediatric medulloblastoma tumours treated with intensity modulated radiation therapy<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":669,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"off","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","_ti_tpc_template_sync":false,"_ti_tpc_template_id":"","footnotes":""},"categories":[10],"tags":[20,21,4,19,22,18],"_links":{"self":[{"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/posts\/62"}],"collection":[{"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/comments?post=62"}],"version-history":[{"count":4,"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/posts\/62\/revisions"}],"predecessor-version":[{"id":671,"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/posts\/62\/revisions\/671"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/media\/669"}],"wp:attachment":[{"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/media?parent=62"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/categories?post=62"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.pi.infn.it\/aim\/wp-json\/wp\/v2\/tags?post=62"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}