{"id":45451,"date":"2023-11-20T05:14:12","date_gmt":"2023-11-20T11:14:12","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/collection\/adrenal-acc-ki67-seg\/"},"modified":"2023-12-18T13:55:02","modified_gmt":"2023-12-18T19:55:02","slug":"adrenal-acc-ki67-seg","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/adrenal-acc-ki67-seg\/","title":{"rendered":"ADRENAL-ACC-KI67-SEG"},"featured_media":8557,"template":"","class_list":["post-45451","tcia_collection","type-tcia_collection","status-publish","has-post-thumbnail"],"cancer_types":["Adrenocortical Carcinoma"],"citations":[45443,45445,9225],"collection_doi":"10.7937\/1FPG-VM46","collection_download_info":"","collection_downloads":[45447,45449],"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=adrenal_acc_ki67_seg\">Imaging Data Commons (IDC)<\/a> (Imaging Data, Digitized Histopathology)<\/li>\r\n<\/ul>","cancer_locations":["Adrenal"],"collection_page_accessibility":"Public","publications_related":"","version_change_log_archived":"<h3>Version 1 (Current): Updated 2023\/05\/15<\/h3><table><colgroup><col \/><col \/><col \/><\/colgroup><tbody><tr><th>Data Type<\/th><th>Download all or Query\/Filter<\/th><td>\u00a0<\/td><\/tr><tr><td>Images (DICOM, 9.9 GB)<\/td><td><div><p><br \/><a href=\"\/wp-content\/uploads\/Adrenal-ACC-Ki67-Seg_v1.tcia\" download=\"Adrenal-ACC-Ki67-Seg_v1.tcia\"><button><i><\/i> Download<\/button><\/a>\u00a0 <a href=\"https:\/\/public.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=Adrenal-ACC-Ki67-Seg\"><button><i><\/i> Search<\/button><\/a>\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><td>\u00a0<\/td><\/tr><tr><td>Clinical data (CSV)<\/td><td><div><p><br \/><a href=\"\/wp-content\/uploads\/Adrenal-ACC-Ki67-Seg_SupportingData_20230522.xlsx\" download=\"Adrenal-ACC-Ki67-Seg_SupportingData_20230522.xlsx\"><button><i><\/i> Download<\/button><\/a>\u00a0<\/p><\/div><\/td><td><div><p><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\">CC BY 4.0<\/a><\/p><\/div><\/td><\/tr><\/tbody><\/table>","collection_status":"Complete","publications_using":"TCIA maintains\u00a0<a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\">a list of publications<\/a> which leverage our data. If you have a manuscript you'd like to add please<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\"> contact the TCIA Helpdesk<\/a>.","related_analysis_results":false,"species":["Human"],"version_number":"1","collection_title":"Voxel-level segmentation of pathologically-proven Adrenocortical carcinoma with Ki-67 expression","date_updated":"2023-05-15","related_collection":false,"subjects":"53","analysis_results":"","collection_short_title":"Adrenal-ACC-Ki67-Seg","data_types":["CT","SEG"],"version_change_log":"","collection_browse_title":"Adrenal-ACC-Ki67-Seg","detailed_description":"","supporting_data":["Clinical","Image Analyses"],"collection_featured_image":{"ID":"8557","post_author":"29","post_date":"2023-09-14 00:50:40","post_date_gmt":"2023-09-14 05:50:40","post_content":"","post_title":"Adrenal-ACC-Ki67-Seg_SelectedFigure","post_excerpt":"CT scan of the abdomen (A) showing left adrenal mass. The adrenal mass (red) is segmented in all planes (Axial (B), Sagittal (C) and coronal (D) planes).","post_status":"inherit","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"adrenal-acc-ki67-seg_selectedfigure","to_ping":"","pinged":"","post_modified":"2023-11-20 05:14:13","post_modified_gmt":"2023-11-20 11:14:13","post_content_filtered":"","post_parent":"45451","guid":"https:\/\/stage.cancerimagingarchive.net\/wp-content\/uploads\/Adrenal-ACC-Ki67-Seg_SelectedFigure.png","menu_order":"0","post_type":"attachment","post_mime_type":"image\/png","comment_count":"0","pod_item_id":"8557"},"collection_summary":"<p>Adrenocortical carcinoma (ACC) is a rare tumor of the adrenal cortex with a reported annual incidence of one case per million population. ACC is a highly aggressive, highly fatal tumor with 5-year overall survival rates ranging from 14% to 44%. Diagnosis of ACC is primarily based on histopathological parameters from resected tumors, which include Ki-67 expression status. The Ki-67 index is one of the most important established prognostic markers for local recurrence of ACC. Radiomic feature extraction showed a significant association between radiomic signature and Ki-67 expression status in ACC.<\/p><p>This retrospectively acquired data includes contrast enhanced CT imaging studies of 53 confirmed ACC patients between 2006 to 2018 with available clinical and pathological data, including Ki-67 index. Semi-automatic segmentation of the adrenal tumor was created using <a href=\"https:\/\/www.thermofisher.com\/us\/en\/home\/electron-microscopy\/products\/software-em-3d-vis\/amira-software.html?SID=srch-srp-AMIRA\">AMIRA<\/a>, then manually refined by an experienced radiologist. Voxel level segmentation of the adrenal lesion are included as well. The segmentations of each contrast-enhanced CT were done for the purpose of radiomic features extraction.\u00a0<\/p><p>The participants in this dataset fulfilled these <strong>inclusion <\/strong>criteria:<\/p><ol><li>Pathologically proven Adrenocortical carcinoma<\/li><li>Underwent surgical resection of the tumour<\/li><li>The Ki-67 index was determined as part of the histopathological evaluation of the resected tissue<\/li><li>Imaging data (pre-resection contrast-enhanced CT of the abdomen) were available.\u00a0<\/li><\/ol><p>Data from patients whose Ki-67 was quantified in biopsied tissue samples rather than from resected whole tumor, were <strong>excluded <\/strong>from this study. This exclusion was based on previous studies concluding that Ki-67 quantification should be based on tissue samples collected from the whole tumour.<\/p><p>There was no publicly-available library for adrenal lesions prior to this dataset.\u00a0 It can serve as a training set for machine learning algorithms for various purposes including segmentation and classification of adrenal tumors. We used the radiomic features extracted to predict the Ki-67 index (through regression) without the need of surgical intervention as described in <a href=\"https:\/\/doi.org\/10.1016\/j.crad.2020.01.012\">this paper<\/a>.\u00a0\u00a0<\/p>","collection_acknowledgements":"<ul><li>The <strong>University of Texas MD Anderson Cancer Center<\/strong>, departments of Surgical Oncology, Endocrinology, Pathology, Imaging Physics, and Diagnostic Radiology.<\/li><li>The authors would like to thank the <strong>Scientific Publication department at the University of Texas MD Anderson Cancer Center <\/strong>for their contribution to this dataset and articles. \u00a0<\/li><\/ul>","collection_funding":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/45451","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\/45451\/revisions"}],"predecessor-version":[{"id":47491,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/45451\/revisions\/47491"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media\/8557"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=45451"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}