{"id":45927,"date":"2023-11-20T05:42:51","date_gmt":"2023-11-20T11:42:51","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/analysis-result\/crowds-cure-2018\/"},"modified":"2024-11-19T15:09:45","modified_gmt":"2024-11-19T21:09:45","slug":"crowds-cure-2018","status":"publish","type":"tcia_analysis_result","link":"https:\/\/stage.cancerimagingarchive.net\/analysis-result\/crowds-cure-2018\/","title":{"rendered":"CROWDS-CURE-2018"},"featured_media":8903,"template":"","class_list":["post-45927","tcia_analysis_result","type-tcia_analysis_result","status-publish","has-post-thumbnail"],"cancer_types":["Bladder Endothelial Carcinoma","Colon adenocarcinoma","Glioblastoma Multiforme","Head and Neck Squamous Cell Carcinoma","Lung Squamous Cell Carcinoma","Melanoma","Non-small Cell Lung Cancer","Pancreatic Ductal Adenocarcinoma","Renal Clear Cell Carcinoma","Uterine Corpus Endometrial Carcinoma","Metastatic disease"],"citations":[45917,9225],"result_doi":"10.7937\/TCIA.2019.yk0gm1eb","result_download_info":"Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/4556915\/TCIA%20Restricted%20License%2020220519.pdf?version=1&amp;modificationDate=1652964581655&amp;api=v2\">TCIA Restricted License Agreement<\/a> to <a href=\"mailto:help@cancerimagingarchive.net\">help@cancerimagingarchive.net<\/a> before accessing the data.","result_downloads":[45919,45921],"version_change_log_archived":"Version 1 (Current): 2019\/05\/30\r\n   Data TypeDownload all or Query\/FilterImages annotated by participants (DICOM)Crowd measurements (CSV)Structured reports (DICOM-SR)","versions":false,"additional_resources":"","cancer_locations":["Bladder","Brain","Colon","Head-Neck","Kidney","Lung","Pancreas","Skin","Uterine corpus"],"publications_related":".","result_page_accessibility":"Limited","detailed_description":"Data resulting from this experiment is available in the following formats:\r\n<ul>\r\n \t<li><strong>Source DICOM scans annotated by participants<\/strong><\/li>\r\n \t<li><strong>CSV representation of crowd measurements<\/strong><\/li>\r\n \t<li><strong>DICOM-SR representation of crowd measurements<\/strong><\/li>\r\n<\/ul>","publications_using":"TCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\"> a list of publications<\/a> that leverage TCIA data. If you have a manuscript you'd like to add please\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">contact TCIA's Helpdesk<\/a>.","result_title":"Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting","species":false,"version_number":"1","date_updated":"2019-05-30","related_collections":[44721,44523,44347,45161,43835,42977,41425,43955,44377,44829,44129,41419,46845],"result_short_title":"Crowds-Cure-2018","subjects":"324","related_analysis_results":[45815],"result_browse_title":"Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting (Crowds-Cure-2018)","supporting_data":["Lesion measurements"],"version_change_log":"","collections":"Below is a list of the Collections used in these analyses. <em><strong>Download all manifests for the full dataset<\/strong><\/em>:\r\n<table><colgroup> <col \/> <col \/> <col \/><\/colgroup>\r\n<tbody>\r\n<tr>\r\n<th>Source Data Type<\/th>\r\n<th>Download<\/th>\r\n<th>License<\/th>\r\n<\/tr>\r\n<tr>\r\n<td>\r\n<div>\r\n\r\nLimited-access images used for annotation (DICOM)\r\n\r\nIncludes restricted\u00a0cases\u00a0from\u00a0cases from\u00a0<a href=\"https:\/\/cancerimagingarchive.net\/collection\/anti-pd-1_melanoma\/\" target=\"_blank\" rel=\"noopener\">Anti-PD-1_MELANOMA<\/a>,\u00a0<a href=\"https:\/\/cancerimagingarchive.net\/collection\/cptac-gbm\/\" target=\"_blank\" rel=\"noopener\">CPTAC-GBM<\/a>,\u00a0<a href=\"https:\/\/cancerimagingarchive.net\/collection\/cptac-hnscc\/\" target=\"_blank\" rel=\"noopener\">CPTAC-HNSCC<\/a>,\u00a0<a href=\"https:\/\/cancerimagingarchive.net\/collection\/tcga-hnsc\/\" target=\"_blank\" rel=\"noopener\">TCGA-HNSC<\/a>\r\n\r\n<\/div><\/td>\r\n<td>\r\n<div>\r\n\r\n<a href=\"$paramurl\"><button><i><\/i> Download<\/button><\/a>\r\n\r\n(Download requires\u00a0the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>)\r\n\r\n<\/div><\/td>\r\n<td>\r\n<div>\r\n\r\n<a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/4556915\/TCIA%20Restricted%20License%2020220519.pdf?version=1&amp;modificationDate=1652964581655&amp;api=v2\">TCIA Restricted<\/a>\r\n\r\n<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Publicly accessible images used for annotation (DICOM)\r\n\r\nIncludes cases from <a href=\"https:\/\/doi.org\/10.7937\/tcia.2019.zjjwb9ip\">Anti-PD-1_Lung<\/a>, <a href=\"https:\/\/doi.org\/10.7937\/k9\/tcia.2018.oblamn27\">CPTAC-CCRCC<\/a>, <a href=\"https:\/\/doi.org\/10.7937\/k9\/tcia.2018.sc20fo18\">CPTAC-PDA<\/a>, <a href=\"https:\/\/doi.org\/10.7937\/k9\/tcia.2018.3r3juisw\">CPTAC-UCEC<\/a>, <a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2017.7hs46erv\">NSCLC Radiogenomics<\/a>, <a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2016.8LNG8XDR\">TCGA-BLCA<\/a>, <a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2016.HJJHBOXZ\">TCGA-COAD<\/a>, \u00a0<a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2016.TYGKKFMQ\">TCGA-LUSC<\/a>, <a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2016.GKJ0ZWAC\">TCGA-UCEC<\/a><\/td>\r\n<td>\r\n<div>\r\n\r\n<a href=\"\/wp-content\/uploads\/CrowdsCureCancer2018-DICOM-Public.tcia\" download=\"CrowdsCureCancer2018-DICOM-Public.tcia\"><button><i><\/i> Download<\/button><\/a>\r\n\r\n(Download requires\u00a0the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>)\r\n\r\n<\/div><\/td>\r\n<td>\r\n<div>\r\n\r\n<a href=\"https:\/\/creativecommons.org\/licenses\/by\/3.0\/\">CC BY 3.0<\/a>\r\n\r\n<\/div><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<ul>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/anti-pd-1_lung\/\" target=\"_blank\" rel=\"noopener\">Anti-PD-1_Lung<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/anti-pd-1_melanoma\/\" target=\"_blank\" rel=\"noopener\">Anti-PD-1_MELANOMA<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/cptac-ccrcc\/\" target=\"_blank\" rel=\"noopener\">The Clinical Proteomic Tumor Analysis Consortium Clear Cell Renal Cell Carcinoma Collection (CPTAC-CCRCC)<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/cptac-gbm\/\" target=\"_blank\" rel=\"noopener\">The Clinical Proteomic Tumor Analysis Consortium Glioblastoma Multiforme Collection (CPTAC-GBM)<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/cptac-hnscc\/\" target=\"_blank\" rel=\"noopener\">The Clinical Proteomic Tumor Analysis Consortium Head and Neck Squamous Cell Carcinoma Collection (CPTAC-HNSCC)<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/cptac-pda\/\" target=\"_blank\" rel=\"noopener\">The Clinical Proteomic Tumor Analysis Consortium Pancreatic Ductal Adenocarcinoma Collection (CPTAC-PDA)<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/cptac-ucec\/\" target=\"_blank\" rel=\"noopener\">The Clinical Proteomic Tumor Analysis Consortium Uterine Corpus Endometrial Carcinoma Collection (CPTAC-UCEC)<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/nsclc-radiogenomics\/\" target=\"_blank\" rel=\"noopener\">NSCLC Radiogenomics<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/tcga-blca\/\" target=\"_blank\" rel=\"noopener\">The Cancer Genome Atlas Urothelial Bladder Carcinoma Collection (TCGA-BLCA)<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/tcga-coad\/\" target=\"_blank\" rel=\"noopener\">The Cancer Genome Atlas Colon Adenocarcinoma Collection (TCGA-COAD)<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/tcga-hnsc\/\" target=\"_blank\" rel=\"noopener\">The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma Collection (TCGA-HNSC)<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/tcga-lusc\/\" target=\"_blank\" rel=\"noopener\">The Cancer Genome Atlas Lung Squamous Cell Carcinoma Collection (TCGA-LUSC)<\/a><\/li>\r\n \t<li><a href=\"https:\/\/cancerimagingarchive.net\/collection\/tcga-ucec\/\" target=\"_blank\" rel=\"noopener\">The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma Collection (TCGA-UCEC)<\/a><\/li>\r\n<\/ul>","result_summary":"<h3><strong>Description<\/strong><\/h3>\r\nThe Cancer Imaging Archive (TCIA) has procured substantial troves of image data, which could serve as valuable training sets for improving machine learning algorithms. However, these datasets lack consistent lesion annotations. To address this issue, the\u00a0<a href=\"https:\/\/imaging.cancer.gov\/informatics\/informatics_in_cancer_imaging.htm\">Cancer Imaging Informatics Lab<\/a>\u00a0at the Frederick National Laboratory for Cancer Research (FNLCR) formed a partnership with five groups funded by the\u00a0<a href=\"https:\/\/itcr.cancer.gov\/\">National Cancer Institute's Informatics Technology for Cancer Research program<\/a>\u00a0to develop a web-based crowdsourcing application for gathering lesion annotations, featured at the annual meeting of the Radiological Society of North American (RSNA).\r\n\r\nCrowds Cure Cancer (<a href=\"https:\/\/www.crowds-cure.org\/\">https:\/\/www.crowds-cure.org<\/a>) first exhibited at RSNA 2017 utilizing CT scans from 4 different TCIA collections. Participants were asked to make a uni-dimensional measurement of the largest lesion. There were no options to provide details regarding imaging quality (e.g., no IV contrast, motion artifact, etc.), lesion location (e.g., lung, liver, etc.) or lesion characteristics (e.g., ill-defined, ground glass, etc.), requiring additional post-collection image review.\u00a0 The <a href=\"https:\/\/www.cancerimagingarchive.net\/analysis-result\/crowds-cure-2017\/\">Crowds-Cure-2017<\/a>\u00a0dataset can be found at DOI: <a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2018.OW73VLO2\">10.7937\/K9\/TCIA.2018.OW73VLO2<\/a>.\r\n\r\nFor RSNA 2018, the application was re-designed to promote more comprehensive data collection and increased community participation. Participants were instructed to identify all metastatic disease and provide details regarding image quality, lesion location and characteristics. To provide additional incentives for participation, we improved the system by adding gamification features (e.g., reward badges), and created a leaderboard to display participant standings.\u00a0 The amount of data being annotated was also significantly increased to include CT scans from 324 patients spanning 13 TCIA collections:\u00a0\u00a0<a href=\"\/collection\/anti-pd-1_lung\/\" target=\"_blank\" rel=\"noopener\">Anti-PD-1_Lung<\/a>,\u00a0\u00a0<a href=\"\/collection\/anti-pd-1_melanoma\/\" target=\"_blank\" rel=\"noopener\">Anti-PD-1_MELANOMA<\/a>, <a href=\"\/collection\/cptac-ccrcc\/\" target=\"_blank\" rel=\"noopener\">CPTAC-CCRCC<\/a>, <a href=\"\/collection\/cptac-gbm\/\" target=\"_blank\" rel=\"noopener\">CPTAC-GBM<\/a>, <a href=\"\/collection\/cptac-hnscc\/\" target=\"_blank\" rel=\"noopener\">CPTAC-HNSCC<\/a>, <a href=\"\/collection\/cptac-pda\/\" target=\"_blank\" rel=\"noopener\">CPTAC-PDA<\/a>, <a href=\"\/collection\/cptac-ucec\/\" target=\"_blank\" rel=\"noopener\">CPTAC-UCEC<\/a>,\u00a0\u00a0<a href=\"\/collection\/nsclc-radiogenomics\/\" target=\"_blank\" rel=\"noopener\">NSCLC Radiogenomics<\/a>,\u00a0 <a href=\"\/collection\/tcga-blca\/\" target=\"_blank\" rel=\"noopener\">TCGA-BLCA<\/a>,\u00a0 <a href=\"\/collection\/tcga-coad\/\" target=\"_blank\" rel=\"noopener\">TCGA-COAD<\/a>,\u00a0 <a href=\"\/collection\/tcga-hnsc\/\" target=\"_blank\" rel=\"noopener\">TCGA-HNSC<\/a>,\u00a0 <a href=\"\/collection\/tcga-lusc\/\" target=\"_blank\" rel=\"noopener\">TCGA-LUSC<\/a>,\u00a0 <a href=\"\/collection\/tcga-ucec\/\" target=\"_blank\" rel=\"noopener\">TCGA-UCEC<\/a>.\u00a0\u00a0During RSNA 2018, 4756 bi-directional measurements were obtained compared to 2345 uni-dimensional measurements in 2017. Of the 4756 measurements, 65% of the lesions were annotated with location information. The data is being released in DICOM Structured Report and CSV formats for analysis by the community. The application is available on GitHub\u00a0<a href=\"https:\/\/github.com\/crowds-cure\/cancer\">https:\/\/github.com\/crowds-cure\/cancer<\/a>\u00a0.","collection_downloads":[45923,45925],"result_featured_image":{"ID":"8903","post_author":"29","post_date":"2023-09-14 01:01:25","post_date_gmt":"2023-09-14 06:01:25","post_content":"","post_title":"crowds-cure-booth","post_excerpt":"","post_status":"inherit","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"crowds-cure-booth","to_ping":"","pinged":"","post_modified":"2023-11-20 05:42:52","post_modified_gmt":"2023-11-20 11:42:52","post_content_filtered":"","post_parent":"45927","guid":"https:\/\/stage.cancerimagingarchive.net\/wp-content\/uploads\/crowds-cure-booth.jpg","menu_order":"0","post_type":"attachment","post_mime_type":"image\/jpeg","comment_count":"0","pod_item_id":"8903"},"result_acknowledgements":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_analysis_result"}],"version-history":[{"count":1,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45927\/revisions"}],"predecessor-version":[{"id":47091,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45927\/revisions\/47091"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media\/8903"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=45927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}