{"id":42033,"date":"2023-11-20T02:05:08","date_gmt":"2023-11-20T08:05:08","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/collection\/acrin-6664\/"},"modified":"2024-08-14T14:50:14","modified_gmt":"2024-08-14T19:50:14","slug":"ct-colonography","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/ct-colonography\/","title":{"rendered":"CT COLONOGRAPHY"},"featured_media":0,"template":"","class_list":["post-42033","tcia_collection","type-tcia_collection","status-publish"],"cancer_types":["Colon Cancer"],"citations":[42019,42021,9225],"collection_doi":"10.7937\/K9\/TCIA.2015.NWTESAY1","collection_download_info":"","collection_downloads":[42023,42025,42027,42029,42031],"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=ct_colonography\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li>\r\n<\/ul>\r\nThe following external resources are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.\r\n<ul>\r\n \t<li><a href=\"https:\/\/clinicaltrials.gov\">ClinicalTrials.gov<\/a> entry about the Trial <a href=\"https:\/\/clinicaltrials.gov\/study\/NCT00084929\">NCT00084929, \"The\u00a0National\u00a0CT\u00a0Colonography\u00a0Trial: Multicenter Assessment of Accuracy for Detection of Large Adenomas and Cancers in a Healthy Screening Population\"<\/a><\/li>\r\n<\/ul>\r\n&nbsp;","cancer_locations":["Colon"],"collection_page_accessibility":"Public","publications_related":"","version_change_log_archived":"<h3>Version 1 (Current): Updated 2013\/11\/15<\/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, 462.6GB)<\/td><td colspan=\"1\"><div><p><a href=\"\/wp-content\/uploads\/TCIA_CT_COLONOGRAPHY_06-22-2015.tcia\" download=\"TCIA_CT_COLONOGRAPHY_06-22-2015.tcia\"><button><i><\/i> Download<\/button><\/a>\u00a0 <a href=\"https:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=CT%20COLONOGRAPHY\"><button><i><\/i> Search<\/button><\/a>\u00a0<\/p><p>(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>.)<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\">DICOM Metadata Digest (CSV)<\/td><td colspan=\"1\"><div><p><a href=\"\/wp-content\/uploads\/CTColonography_MetaData.csv\" download=\"CTColonography_MetaData.csv\"><button><i><\/i> Download<\/button><\/a>\u00a0<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\">Polyp Descriptions - Large 10mm (XLS)<\/td><td colspan=\"1\"><div><p><a href=\"\/wp-content\/uploads\/TCIA-CTC-large-10-mm-polyps.xls\" download=\"TCIA-CTC-large-10-mm-polyps.xls\"><button><i><\/i> Download<\/button><\/a>\u00a0<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\">Polyp Descriptions - 6 to 9mm (XLS)<\/td><td colspan=\"1\"><div><p><a href=\"\/wp-content\/uploads\/TCIA-CTC-6-to-9-mm-polyps.xls\" download=\"TCIA-CTC-6-to-9-mm-polyps.xls\"><button><i><\/i> Download<\/button><\/a>\u00a0<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\">Polyp Descriptions - No polyp found (XLS)<\/td><td colspan=\"1\"><div><p><a href=\"\/wp-content\/uploads\/TCIA-CTC-no-polyp-found.xls\" download=\"TCIA-CTC-no-polyp-found.xls\"><button><i><\/i> Download<\/button><\/a>\u00a0<\/p><\/div><\/td><\/tr><\/tbody><\/table><p>&nbsp;<\/p>","collection_status":"Complete","publications_using":"<script async src=\"https:\/\/badge.dimensions.ai\/badge.js\" charset=\"utf-8\"><\/script>\r\n\r\nA full list of publications that reference this dataset can be found on <strong><a href=\"https:\/\/app.dimensions.ai\/discover\/publication?search_mode=content&amp;search_text=10.7937%2FK9%2FTCIA.2015.NWTESAY1&amp;search_type=kws&amp;search_field=full_search\">Dimensions.ai<\/a> <\/strong>(free log-in required)\r\n\r\nTCIA maintained a legacy list of publications through 2023 found below and on the <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\">TCIA Publications Page<\/a>.\r\n<ol>\r\n \t<li>Shakir, Hina; Deng, Yiming; Rasheed, Haroon; Khan, Tariq Mairaj Rasool. <strong>Radiomics based likelihood functions for cancer diagnosis. <\/strong>Sci Rep 2019 <a href=\"https:\/\/www.nature.com\/articles\/s41598-019-45053-x\">link<\/a><\/li>\r\n \t<li>Gayathri, Devi K; Radhakrishnan, R; Rajamani, Kumar. <strong>Segmentation of colon and removal of opacified fluid for virtual colonoscopy. <\/strong>Pattern Analysis and Applications 2017 <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10044-017-0614-y\">link<\/a><\/li>\r\n \t<li>Lin, Anthony Y; Du, Peng; Dinning, Philip G; Arkwright, John W; Kamp, Jozef P; Cheng, Leo K; Bissett, Ian P; O'Grady, Gregory. <strong>High-resolution anatomic correlation of cyclic motor patterns in the human colon: Evidence of a rectosigmoid brake. <\/strong>American Journal of Physiology-Gastrointestinal and Liver Physiology 2017 <a href=\"https:\/\/www.physiology.org\/doi\/abs\/10.1152\/ajpgi.00021.2017\">link<\/a><\/li>\r\n \t<li>Manjunath, KN; Siddalingaswamy, PC; Prabhu, GK. <strong>Measurement of smaller colon polyp in CT colonography images using morphological image processing. <\/strong>International journal of computer assisted radiology and surgery 2017 <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11548-017-1615-4\">link<\/a><\/li>\r\n \t<li>Alazmani, A; Hood, A; Jayne, D; Neville, A; Culmer, P. <strong>Quantitative assessment of colorectal morphology: Implications for robotic colonoscopy <\/strong>Medical engineering &amp; physics 2016 <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/26762775\">link<\/a><\/li>\r\n \t<li>Manjunath, KN; Siddalingaswamy, PC; Gopalakrishna Prabhu, K. <strong>An improved method of colon segmentation in computed tomography colonography images using domain knowledge <\/strong>Journal of Medical Imaging and Health Informatics 2016 <a href=\"https:\/\/doi.org\/10.1166\/jmihi.2016.1786\">link<\/a><\/li>\r\n \t<li>Yahya-Zoubir, Bahia; Hamami, Latifa; Saadaoui, Llies; Ouared, Rafik. <strong>Automatic 3D Mesh-Based Centerline Extraction from a Tubular Geometry Form. <\/strong>Information Technology And Control 2016 <a href=\"http:\/\/www.itc.ktu.lt\/index.php\/ITC\/article\/view\/12162\">link<\/a><\/li>\r\n \t<li>Gayathri Devi, K; Radhakrishnan, R. <strong>Automatic Segmentation of Colon in 3D CT Images and Removal of Opacified Fluid Using Cascade Feed Forward Neural Network. <\/strong>Computational and Mathematical Methods in Medicine 2015 <a href=\"https:\/\/www.hindawi.com\/journals\/cmmm\/2015\/670739\/abs\/\">link<\/a><\/li>\r\n \t<li>Manjunath, KN; Siddalingaswamy, PC; Prabhu, GK. <strong>Automatic Electronic Cleansing in Computed Tomography Colonography Images using Domain Knowledge. <\/strong>Asian Pacific Journal of Cancer Prevention 2015 <a href=\"https:\/\/doi.org\/10.7314\/APJCP.2015.16.18.8351\">link<\/a><\/li>\r\n \t<li>Nam\u00edas, R; D\u2019Amato, JP; Del Fresno, M; V\u00e9nere, M. <strong>Automatic rectum limit detection by anatomical markers correlation <\/strong>Computerized Medical Imaging and Graphics 2014 <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0895611114000159\">link<\/a><\/li>\r\n \t<li>Boone, Darren J; Halligan, Steve; Roth, Holger R; Hampshire, Tom E; Helbren, Emma; Slabaugh, Greg G; McQuillan, Justine; McClelland, Jamie R; Hu, Mingxing; Punwani, Shonit. <strong>CT Colonography: External Clinical Validation of an Algorithm for Computer-assisted Prone and Supine Registration. <\/strong>Radiology 2013 <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/23687175\">link<\/a><\/li>\r\n \t<li>Roth, Holger R; Boone, Darren J; Halligan, Steve; Hampshire, Thomas E; McClelland, Jamie R; Hu, Mingxing; Punwani, Shonit; Taylor, Stuart; Hawkes, David J. <strong>External clinical validation of prone and supine CT colonography registration. <\/strong>2012 <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-33612-6_2\">link<\/a><\/li>\r\n<\/ol>","related_analysis_results":[45713],"species":["Human"],"version_number":"1","collection_title":"ACRIN 6664","date_updated":"2013-11-15","related_collection":false,"subjects":"825","analysis_results":"","collection_short_title":"CT COLONOGRAPHY","data_types":["CT"],"version_change_log":"","collection_browse_title":"ACRIN 6664 (CT COLONOGRAPHY)","detailed_description":"There are presently 825 cases in this collection with XLS sheets that provide polyp descriptions and their location within the colon segments.\u00a0 To link the XLS polyp tables with the DICOM image studies in TCIA you should understand that some cases in the TCIA are identified by long numbers with the last 4 digits after the last decimal point (e.g.: NCIA study number \"1.3.6.1.4.1.9328.50.4.0040\" referred to as case \"40\"). In addition there are a fewer number of additional positive cases that begin their identification number with 'CTC' (e.g.: CTC-5401799343)\r\n\r\nThree related XLS spreadsheets are in this release.\r\n<ol>\r\n \t<li><a href=\"\/wp-content\/uploads\/TCIA-CTC-large-10-mm-polyps.xls\" download=\"TCIA-CTC-large-10-mm-polyps.xls\">TCIA CTC large 10 mm polyps.xls<\/a>\u00a0- Contains the case numbers for 35 cases (out of the 825 total TCIA cases) where at least one 10mm or larger size polyp was found.\u00a0 Individual cases may have several (up to 20) polyps of different sizes listed on a particular XLS row as \"LESION 1.x, 2.x,3.x etc. \u2013 see \"feature key\" below).<\/li>\r\n \t<li><a href=\"\/wp-content\/uploads\/TCIA-CTC-6-to-9-mm-polyps.xls\" download=\"TCIA-CTC-6-to-9-mm-polyps.xls\">TCIA CTC 6 to 9 mm polyps.xls<\/a>\u00a0- Contains 69 cases with smaller size polyps.<\/li>\r\n \t<li><a href=\"\/wp-content\/uploads\/TCIA-CTC-no-polyp-found.xls\" download=\"TCIA-CTC-no-polyp-found.xls\">TCIA CTC no polyp found.xls<\/a>\u00a0- Contains 243 cases that were recorded as free of polyps by both CTC and optical techniques.<\/li>\r\n<\/ol>\r\nThus in this CT Colonography collection you will be able to download the prone and supine DICOM images from OC same-day validated 243 negative cases, 69 cases with 6 to 9 mm polyps, and 35 cases which have at least one &gt; 10 mm polyp and their histological type. Below is the key for deciphering the features in the spreadsheet.\r\n\r\n<a href=\"\/wp-content\/uploads\/Polyp-description-key-table.png\" rel=\"prettyPhoto noopener\"><img class=\"cm-inline-img-css alignright wp-image-387 size-medium\" src=\"\/wp-content\/uploads\/Polyp-description-key-table.png\" \/><\/a>\r\n\r\n<strong> <em>WARNING: NCI cannot assure archive users of error-free validity of the XL polyp location data since NCI did not itself perform the clinical study or its analysis.<\/em> <\/strong>\r\n\r\nYou will note that two XLS files with positive findings have multiple columns descriptors of individual polyp lesions listed as in the table below.\u00a0 The meaning of the colored columns labeled \"LESION 1.1...1.2...1.3...1.4, etc\" is explained in the attached key-code \".tiff\" file entitled \"Polyp description key table.tiff\"). Some CT scan slice numbers where the polyps were found are provided, but unfortunately the table may not have complete slice number information \u2013 you'll just have to do the best you can with the data NCI was given.\r\n\r\n<a href=\"\/wp-content\/uploads\/column-colors.png\" rel=\"prettyPhoto noopener\"><img class=\"cm-inline-img-css alignright wp-image-388 size-medium\" src=\"\/wp-content\/uploads\/column-colors.png\" \/><\/a>\r\n\r\n<strong>A note about the values in DICOM header (0010,1010) Patient Age<\/strong>: Within the CT COLONOGRAPHY collection, there are some ages that were anonymized to 105Y and 110Y which does not follow the standard TCIA de-identification procedure regarding ages 89 and older. TCIA policy is to bin any age over 89 into a common age group \"090Y\". Although these ages are not binned to 090Y, please be aware that they are not actual ages of patients.","supporting_data":["Image Analyses"],"collection_featured_image":false,"collection_summary":"<p>The National CT Colonography Trial (ACRIN 6664) collection contains 825 cases of CT colonography imaging with accompanying spreadsheets that provide polyp descriptions and their location within the colon segments.\u00a0 Additional information about the trial is available in the <a href=\"\/wp-content\/uploads\/ACRIN-6664_protocol.pdf\" download=\"ACRIN-6664_protocol.pdf\" data-linked-resource-container-id=\"3539213\" data-linked-resource-container-version=\"63\" data-linked-resource-content-type=\"application\/pdf\" data-linked-resource-default-alias=\"ACRIN 6664_protocol.pdf\" data-linked-resource-id=\"145753906\" data-linked-resource-type=\"attachment\" data-linked-resource-version=\"1\" data-nice-type=\"PDF Document\">Study Protocol<\/a> and <a href=\"\/wp-content\/uploads\/ACRIN-6664_CRF-Set.pdf\" download=\"ACRIN-6664_CRF-Set.pdf\" data-linked-resource-container-id=\"3539213\" data-linked-resource-container-version=\"63\" data-linked-resource-content-type=\"application\/pdf\" data-linked-resource-default-alias=\"ACRIN 6664_CRF Set.pdf\" data-linked-resource-id=\"145753907\" data-linked-resource-type=\"attachment\" data-linked-resource-version=\"1\" data-nice-type=\"PDF Document\">Case Report Forms<\/a>.<\/p><p><strong>Main Objective:<\/strong>\u00a0To clinically validate widespread use of computerized tomographic colonography (CTC) in a screening population for the detection of colorectal neoplasia.<\/p><p><strong>Participants:<\/strong>\u00a0Male and female outpatients, aged 50 years or older, scheduled\u00a0for screening colonoscopy, who have not had a colonoscopy in the past five years.<\/p><p><strong>Study Design Summary:<\/strong>\u00a0The study addresses aspects of central importance to the clinical application of CTC in several interrelated but independent parts that will be conducted in parallel. In Part I, the clinical performance of the CTC examination will be prospectively compared in a blinded fashion to colonoscopy. In Part II, optimization of the CT technique will be performed in view of new technological advances in CT technology. In Part III, lesion detection will be\u00a0optimized by studying the morphologic features of critical lesion types and in\u00a0the development of a database for computer-assisted diagnosis. In Part IV,\u00a0patient preferences and cost-effectiveness implications of observed performance\u00a0outcomes will be evaluated using a predictive model.<\/p>","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":"0","program":["NCI Trials"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/42033","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\/42033\/revisions"}],"predecessor-version":[{"id":47429,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/42033\/revisions\/47429"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=42033"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}