{"id":45393,"date":"2023-11-20T05:10:40","date_gmt":"2023-11-20T11:10:40","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/collection\/victre\/"},"modified":"2024-01-31T18:12:17","modified_gmt":"2024-02-01T00:12:17","slug":"victre","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/victre\/","title":{"rendered":"VICTRE"},"featured_media":0,"template":"","class_list":["post-45393","tcia_collection","type-tcia_collection","status-publish"],"cancer_types":["Breast Cancer"],"citations":[45387,45389,9225],"collection_doi":"10.7937\/TCIA.2019.ho23nxaw","collection_download_info":"","collection_downloads":[45391],"versions":false,"additional_resources":"The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.\r\n<ul>\r\n \t<li><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=victre\">Imaging Data Commons (IDC)<\/a>\u00a0(Imaging Data)<\/li>\r\n<\/ul>\r\nThe following external resources have been made available by the data submitters.\u00a0 These are not hosted or supported by TCIA, but may be useful to the researchers utilizing this collection:\r\n<ul>\r\n \t<li><a href=\"https:\/\/github.com\/DIDSR\/VICTRE\">Software (Github)<\/a><\/li>\r\n<\/ul>","cancer_locations":["Breast"],"collection_page_accessibility":"Public","publications_related":"","version_change_log_archived":"<h3>Version 1 (Current): Updated 2019\/03\/08<\/h3><table><colgroup> <col \/> <col \/> <\/colgroup><tbody><tr><th colspan=\"1\">Data Type<\/th><th colspan=\"1\">Download all or Query\/Filter<\/th><\/tr><tr><td colspan=\"1\">Images (DICOM, 1.03 TB)<\/td><td colspan=\"1\"><div><p><a href=\"\/wp-content\/uploads\/VICTRE-NBIA-manifest.tcia\" download=\"VICTRE-NBIA-manifest.tcia\"><button><i><\/i> Download<\/button><\/a>\u00a0 <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=VICTRE\"><button><i><\/i> Search<\/button><\/a>\u00a0 \u00a0<\/p><p>(Download requires\u00a0the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>)<\/p><\/div><\/td><\/tr><\/tbody><\/table>","collection_status":"Complete","publications_using":"TCIA maintains<a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\">\u00a0a list of publications<\/a>\u00a0which leverage our data. If you have a\u00a0 publication\u00a0 you'd like to add please <a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">\u00a0contact the TCIA Helpdesk<\/a> .","related_analysis_results":false,"species":["Human"],"version_number":"1","collection_title":"The VICTRE Trial: Open-Source, In-Silico Clinical Trial For Evaluating Digital Breast Tomosynthesis","date_updated":"2019-03-08","related_collection":false,"subjects":"2994","analysis_results":"","collection_short_title":"VICTRE","data_types":["MG"],"version_change_log":"","collection_browse_title":"VICTRE","detailed_description":"","supporting_data":["Software\/Source Code"],"collection_featured_image":false,"collection_summary":"<p>Expensive and lengthy clinical trials delay regulatory evaluation of innovative medical technologies affecting patient access to high-quality medical products. Sophisticated simulation tools are increasingly being used in device development, but are rarely used in regulatory applications. We investigate a new paradigm for evaluating digital breast tomosynthesis (DBT) as a replacement for digital mammography (DM), using exclusively in-silico methods.<\/p><p>A total of 2986 subjects, with breast sizes and radiographic densities representative of a screening population and compressed thicknesses from 3.5 to 6 cm, were simulated and imaged on in-silico versions of DM and DBT systems using fast Monte Carlo x-ray transport. Images were interpreted by a computational reader detecting the presence of lesions. The in-silico trial (VICTRE) was designed to replicate a comparative trial from a previous regulatory submission. The endpoint was the difference in area under the receiver-operating-characteristic curve between modalities (delta-AUC) for lesion detection. Using a fully-crossed design, VICTRE was sized for a standard error (SE) of 0.01 in delta-AUC, half the uncertainty seen in the comparative trial.\u00a0A 1-hour summary presentation of the project and findings was given at the FDA Grand Rounds on 3\/14\/2019 and can be found\u00a0<a href=\"https:\/\/collaboration.fda.gov\/p5wx8epckk7p\/\">here<\/a>.<\/p><p>A systematic exploration of the trial parameters including lesion types and sizes is also possible and greatly facilitated by the availability of open-source, free software tools available at\u00a0<a href=\"https:\/\/github.com\/DIDSR\/VICTRE\">https:\/\/github.com\/DIDSR\/VICTRE<\/a>.<\/p>","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":"0","program":["FDA"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/45393","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_collection"}],"version-history":[{"count":1,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/45393\/revisions"}],"predecessor-version":[{"id":47939,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/45393\/revisions\/47939"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=45393"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}