{"id":42171,"date":"2023-11-20T02:14:25","date_gmt":"2023-11-20T08:14:25","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/collection\/c4kc-kits\/"},"modified":"2024-04-16T16:39:58","modified_gmt":"2024-04-16T21:39:58","slug":"c4kc-kits","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/c4kc-kits\/","title":{"rendered":"C4KC-KITS"},"featured_media":7023,"template":"","class_list":["post-42171","tcia_collection","type-tcia_collection","status-publish","has-post-thumbnail"],"cancer_types":["Kidney Cancer"],"citations":[42153,42155,9225],"collection_doi":"10.7937\/TCIA.2019.IX49E8NX","collection_download_info":"","collection_downloads":[42157,42159],"versions":[42167,42169],"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=c4kc_kits\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li>\r\n<\/ul>","cancer_locations":["Kidney"],"collection_page_accessibility":"Public","publications_related":"","version_change_log_archived":"<h3>Version 3 (Current): Updated 2020\/06\/18<\/h3><table><colgroup><col \/><col \/><\/colgroup><tbody><tr><th>Data Type<\/th><th>Download all or Query\/Filter<\/th><\/tr><tr><td><p>Images and Segmentations\u00a0<\/p><p>(DICOM, 40.7GB)<\/p><\/td><td><div><p><a href=\"\/wp-content\/uploads\/C4KC-KiTS-NBIA-manifest.tcia\" download=\"C4KC-KiTS-NBIA-manifest.tcia\"><button><i><\/i> Download<\/button><\/a>\u00a0 <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=C4KC-KiTS\"><button><i><\/i> Search<\/button><\/a>\u00a0 <\/p><p>(Requires <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>)<\/p><\/div><\/td><\/tr><tr><td>Clinical Data\u00a0 (CSV,\u00a082 kB)<\/td><td><div><p><a href=\"\/wp-content\/uploads\/C4KC-KiTS_Clinical-Data_Version-1.csv\" download=\"C4KC-KiTS_Clinical-Data_Version-1.csv\"><button><i><\/i> Download<\/button><\/a>\u00a0<\/p><\/div><\/td><\/tr><\/tbody><\/table><p>Upon initial publication of this dataset the segmentations were stored as sagittal series, while the CT images are axial. This caused difficulties loading this dataset into various DICOM tools. Those segmentations have now been converted (in a lossless fashion) to axial to resolve these issues.<\/p><h3><br \/>Version 2: Updated 2020\/03\/23<\/h3><table><colgroup> <col \/> <col \/> <\/colgroup><tbody><tr><th>Data Type<\/th><th>Download all or Query\/Filter<\/th><\/tr><tr><td colspan=\"1\"><p>Images and Segmentations (DICOM, 40.7GB)<\/p><\/td><td colspan=\"1\"><div><p><a>\u00a0<\/a>\u00a0 \u00a0 Unavailable, see version 3 note.<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\">Clinical Data\u00a0 (CSV,\u00a082 kB)<\/td><td colspan=\"1\"><div><p><a href=\"\/wp-content\/uploads\/C4KC-KiTS_Clinical-Data_Version-1.csv\" download=\"C4KC-KiTS_Clinical-Data_Version-1.csv\"><button><i><\/i> Download<\/button><\/a>\u00a0<\/p><\/div><\/td><\/tr><\/tbody><\/table><p>Added clinical data spreadsheet.\u00a0<\/p><h3>Version 1: Updated 2019\/12\/18<\/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\"><p>Images (DICOM, 40.7GB)<\/p><\/td><td colspan=\"1\"><div><p>\u00a0\u00a0Unavailable, see version 3 note.<\/p><\/div><\/td><\/tr><\/tbody><\/table>","collection_status":"Complete","publications_using":"TCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\">a list of publications<\/a>\u00a0which leverage our data.\u00a0If you have a publication you'd like to add please <a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">contact TCIA's Helpdesk<\/a>.","related_analysis_results":[46301],"species":["Human"],"version_number":"3","collection_title":"Data from the training set of the 2019 Kidney and Kidney Tumor Segmentation Challenge","date_updated":"2020-06-18","related_collection":false,"subjects":"210","analysis_results":"","collection_short_title":"C4KC-KiTS","data_types":["CT","SEG"],"version_change_log":"<p class=\"auto-cursor-target\">Upon initial publication of this dataset the segmentations were stored as sagittal series, while the CT images are axial. This caused difficulties loading this dataset into various DICOM tools. Those segmentations have now been converted (in a lossless fashion) to axial to resolve these issues.<\/p>","collection_browse_title":"C4KC-KiTS","detailed_description":"<h4><strong>Note:<\/strong><\/h4>\r\nThe segmentation corresponds to the arterial phase in every case. No processing or analysis was done on the other phases.","supporting_data":false,"collection_featured_image":{"ID":"7023","post_author":"29","post_date":"2023-09-13 09:30:03","post_date_gmt":"2023-09-13 14:30:03","post_content":"","post_title":"c4kc-kits","post_excerpt":"","post_status":"inherit","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"c4kc-kits-2","to_ping":"","pinged":"","post_modified":"2023-11-20 02:14:25","post_modified_gmt":"2023-11-20 08:14:25","post_content_filtered":"","post_parent":"42171","guid":"https:\/\/stage.cancerimagingarchive.net\/wp-content\/uploads\/c4kc-kits.png","menu_order":"0","post_type":"attachment","post_mime_type":"image\/png","comment_count":"0","pod_item_id":"7023"},"collection_summary":"<p>This collection contains CT scans and segmentations from subjects from the training set of the <a href=\"https:\/\/kits19.grand-challenge.org\">2019 Kidney and Kidney Tumor Segmentation Challenge<\/a> (KiTS19). The challenge aimed to accelerate progress in automatic 3D semantic segmentation by releasing a dataset of CT scans for 210 patients with manual semantic segmentations of the kidneys and tumors in the corticomedullary phase. <br \/><br \/>The imaging was collected during routine care of patients who were treated by either partial or radical nephrectomy at the University of Minnesota Medical Center. Many of the CT scans were acquired at referring institutions and are therefore heterogeneous in terms of scanner manufacturers and acquisition protocols. Semantic segmentations were performed by students under the supervision of an experienced urologic cancer surgeon.<\/p><h3>Protocol<\/h3><p>Please refer to the data descriptor manuscript for a comprehensive account of the data collection and annotation process - <a href=\"https:\/\/arxiv.org\/abs\/1904.00445\">arXiv:1904.00445<\/a>.\u00a0The Clinical Trial Time Point is calculated from Day of Surgery.<\/p>","collection_acknowledgements":"<p>We would like to acknowledge the following institutions for their support of the data collection and associated challenge:<\/p><ul><li><a href=\"https:\/\/climb4kc.org\/\">Climb 4 Kidney Cancer<\/a> - Many of the students who worked on the chart review and manual segmentations for this dataset were graciously supported by Climb 4 Kidney Cancer (C4KC) as \"C4KC Scholars\"<\/li><li><a href=\"https:\/\/www.intuitive.com\/\">Intuitive Surgical<\/a> - A prize of $5,000 was awarded by Intuitive Surgical to the KiTS19 Challenge's highest scoring team<\/li><li><a href=\"https:\/\/www.cancer.gov\/\">The National Cancer Institute<\/a> of <a href=\"https:\/\/www.nih.gov\/\">The National Institutes of Health<\/a> - This work was supported under Award Number R01CA225435. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health<\/li><li><p>Harmonization of the components of this dataset, including into standard DICOM representation, was supported in part by the NCI Imaging Data Commons consortium. NCI Imaging Data Commons consortium is supported by the contract number 19X037Q from Leidos Biomedical Research under Task Order HHSN26100071 from NCI<\/p><\/li><\/ul>","collection_funding":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/42171","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\/42171\/revisions"}],"predecessor-version":[{"id":48567,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/42171\/revisions\/48567"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media\/7023"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=42171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}