{"id":5515,"date":"2023-09-04T03:00:28","date_gmt":"2023-09-04T03:00:28","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/aapm-rt-mac\/"},"modified":"2023-09-13T11:55:12","modified_gmt":"2023-09-13T11:55:12","slug":"aapm-rt-mac","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/aapm-rt-mac\/","title":{"rendered":"AAPM-RT-MAC"},"featured_media":7547,"template":"","citation-tax":[],"cancer_types":["Head and Neck Cancer"],"citations":[4307,4308,2925],"collection_doi":"10.7937\/tcia.2019.bcfjqfqb","collection_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.\n\nClick the Versions tab for more info about data releases.","collection_downloads":[4859],"full_export":"<h1 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-Summary\">Summary<\/h1><div class=\"wiki-content\"><span class=\"confluence-embedded-file-wrapper image-right-wrapper confluence-embedded-manual-size\"><img class=\"confluence-embedded-image confluence-thumbnail image-right\" draggable=\"false\" width=\"300\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/AAPM%20RT-MAC%20Grand%20Challenge%202019%20(AAPM-RT-MAC)\/RTMACImage.png?api=v2\"><\/span><p>This data set was provided in association with a\u00a0<a href=\"https:\/\/www.aapm.org\/GrandChallenge\/RT-MAC\/\" class=\"external-link\" rel=\"nofollow\">challenge competition<\/a>\u00a0and\u00a0<a href=\"https:\/\/w3.aapm.org\/meetings\/2019AM\/programInfo\/programSessions.php?t=all&amp;sid=8284\" class=\"external-link\" rel=\"nofollow\">related conference session<\/a>\u00a0conducted at the <a href=\"https:\/\/w3.aapm.org\/meetings\/2019AM\/\" class=\"external-link\" rel=\"nofollow\">AAPM 2019 Annual Meeting<\/a>.\u00a0<\/p><p><span style=\"color: rgb(102,102,102);\">MRI is popular in radiation oncology because of its excellent imaging quality of soft tissue and tumor. With the advent of MR-Linac and MR-guided radiation therapy, there is a trend toward a MR-based radiation treatment planning. Contouring is an important task in modern radiation treatment planning and frequently introduces uncertainties in radiation therapy due to observer variabilities. Auto-segmentation has been demonstrated as an effective approach to reduce this uncertainty. The overall objective of this grand challenge is to provide a platform for comparison of various auto-segmentation algorithms when they are used to delineate organs at risk (OARs) or tumors from MR images for head and neck patients for radiation treatment planning. The results will provide an indication of the performances achieved by various auto-segmentation algorithms and can be used to guide the selection of these algorithms for clinic use if desirable.<\/span><\/p><p>The data for this challenge contains a total of 55 MRI cases, each from a single examination from a distinct patient, with each case consisting of a T2-weighted MRI images in DICOM format. The MRI scanning protocol was designed for radiation treatment simulation. Thirty-one of these will be provided as training cases, with the parotid glands, submandibular glands, level 2 and level 3 lymph nodes contoured. The images and contours were acquired from MD Anderson Cancer Center.<\/p><p><span style=\"color: rgb(0,0,0);\">More details on accessing the various challenge subsets (training, off-site test, and live test) can be found on the Detailed Description tab below.\u00a0<\/span><\/p><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-Acknowledgements\"><span>Acknowledgements<\/span><\/h3><p>We would like to acknowledge the individuals and institutions that have provided data for this collection:<\/p><ul><li>The University of Texas\u00a0<span class=\"nowrap\">MD Anderson<\/span>\u00a0Cancer Center Houston, Texas, USA\u00a0<\/li><\/ul><div class=\"tab-style-builtin\"><div class=\"localtabs-macro\"><div class=\"aui-tabs horizontal-tabs\" role=\"application\" data-aui-responsive=\"true\"><ul class=\"tabs-menu\"><li class=\"menu-item bv-localtab  active-tab \"><a href=\"#5013591634a1d0a0b71741e8bec717fdd0ce7587\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#50135916176c3dc549044fcea67e6a87a8d2dcf2\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#5013591643fc48483c164e2cb4afb6ea869ed9c7\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#501359166f1503ce53ca48d3848aa820e4b24317\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"5013591634a1d0a0b71741e8bec717fdd0ce7587\" active=\"true\" name=\"Data Access\" ><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-DataAccess\">Data Access<\/h3><p>\nSome 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\" class=\"external-link\" rel=\"nofollow\">TCIA Restricted License Agreement<\/a> to <a href=\"mailto:help@cancerimagingarchive.net\" class=\"external-link\" rel=\"nofollow\">help@cancerimagingarchive.net<\/a> before accessing the data.<\/p><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 61.81%;\"><colgroup><col style=\"width: 33.9841%;\"\/><col style=\"width: 38.2113%;\"\/><col style=\"width: 27.7517%;\"\/><\/colgroup><tbody><tr><th class=\"confluenceTh\">Data Type<\/th><th class=\"confluenceTh\">Download all or Query\/Filter<\/th><th class=\"confluenceTh\">License<\/th><\/tr><tr><td class=\"confluenceTd\"><p><span>Images and Radiation Therapy Structures (DICOM, 3.5 GB)<\/span><\/p><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/50135916\/AAPM%20RT%20MAC%20July%2020%202020%20NBIA-manifest.tcia?version=1&amp;modificationDate=1595265571711&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=AAPM-RT-MAC\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span><br\/><\/p><p>(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>)<\/p><\/div><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n<a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/4556915\/TCIA%20Restricted%20License%2020220519.pdf?version=1&amp;modificationDate=1652964581655&amp;api=v2\" class=\"external-link\" rel=\"nofollow\">TCIA Restricted<\/a><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p>Click the Versions tab for more info about data releases.<\/p><\/div><div class=\"tabs-pane \" id=\"50135916176c3dc549044fcea67e6a87a8d2dcf2\" name=\"Detailed Description\" ><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-DetailedDescription\">Detailed Description<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup> <col\/> <col\/> <\/colgroup><tbody><tr><th class=\"confluenceTh\"><div class=\"tablesorter-header-inner\"><div class=\"tablesorter-header-inner\"><p>Image Statistics<\/p><\/div><\/div><\/th><th class=\"confluenceTh\"><div class=\"tablesorter-header-inner\"><div class=\"tablesorter-header-inner\"><p><br\/><\/p><\/div><\/div><\/th><\/tr><tr><td class=\"confluenceTd\"><p>Modalities<\/p><\/td><td class=\"confluenceTd\"><p>MR, RTSTRUCT<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Participants<\/p><\/td><td class=\"confluenceTd\"><p>55<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Studies<\/p><\/td><td class=\"confluenceTd\"><p>55<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Series<\/p><\/td><td class=\"confluenceTd\"><p>110<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td class=\"confluenceTd\"><p>6655<\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Images Size (GB)<\/td><td colspan=\"1\" class=\"confluenceTd\">3.5<\/td><\/tr><\/tbody><\/table><\/div><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-SupportingDocumentationandMetadata\"><strong>Supporting Documentation and Metadata<\/strong><\/h3><p>To participate in the challenge and to learn more about the subsets of training and test data used please visit\u00a0<a href=\"http:\/\/aapmchallenges.cloudapp.net\/competitions\/34\" class=\"external-link\" rel=\"nofollow\">http:\/\/aapmchallenges.cloudapp.net\/competitions\/34<\/a>. Some information from the challenge site is included below.<\/p><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-Datadescription\"><strong>Data description<\/strong><\/h3><p>T2 MR Images of 55 patients have been collected for this challenge. Data were acquired from MD Anderson Cancer Center. All images were scanned with a protocol specifically designed for head-and-neck radiation treatment simulation. Datasets were divided into three groups:<\/p><ul><li>31 training datasets<\/li><li>12 off-site test datasets<\/li><li>12 live test datasets<\/li><\/ul><p>Data will be provided in DICOM (both MR and RTSTRUCT), as commonly used in most commercial treatment planning systems.<\/p><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-ContouringGuidelines\"><strong>Contouring Guidelines<\/strong><\/h3><p>The manual contours were drawn by a radiation oncologist at MD Anderson Cancer Center. The structures were contoured following the\u00a0<strong>DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncology and RROG consensus guidelines\u00a0<\/strong>reported in Brouwer et.al Radiotherapy and Oncol. 2015. Details of contouring guidelines can be found in &quot;Learn the Details&quot; on the challenge website. The following structures are included in this challenge:<\/p><ul><li>Parotid glands<\/li><li>Submandibular glands<\/li><li>Lymph nodes level II<\/li><li>Lymph nodes level III<\/li><\/ul><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-TrainingData\"><strong>Training Data<\/strong><\/h3><p>Each training dataset includes a set of DICOM MR image files and one DICOM RTSTRUCT file. Each training dataset is labeled as RTMAC-TRAIN-xxx, where xxx identifies the dataset ID.<\/p><p>Training data are available\u00a0<u><a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/50135916\/AAPM-RTMAC-Train-Data-NBIA-manifest.tcia?version=1&amp;modificationDate=1560169957132&amp;api=v2\" data-linked-resource-id=\"52763073\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"AAPM-RTMAC-Train-Data-NBIA-manifest.tcia\" data-linked-resource-content-type=\"application\/x-nbia-manifest-file\" data-linked-resource-container-id=\"50135916\" data-linked-resource-container-version=\"61\">here<\/a><\/u>.\u00a0(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>.)<\/p><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-Off-sitetestdata\"><strong>Off-site test data<\/strong><\/h3><p>Each off-site test dataset includes a set of DICOM MR image files and is labeled as RTMAC-TEST-xxx, where xxx identifies the dataset ID.<\/p><p>Off-site test data are available\u00a0<u><a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/50135916\/AAPM%20RTMAC%20TEST%20data%2007202020%20NBIA-manifest.tcia?version=1&amp;modificationDate=1595341683615&amp;api=v2\" data-linked-resource-id=\"70227333\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"AAPM RTMAC TEST data 07202020 NBIA-manifest.tcia\" data-linked-resource-content-type=\"application\/x-nbia-manifest-file\" data-linked-resource-container-id=\"50135916\" data-linked-resource-container-version=\"61\">here<\/a><\/u>.\u00a0(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>.)<\/p><p>RTSTRUCT data associated with Off-site test data were made available 7\/20\/2020.<\/p><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-Livetestdata\"><strong>Live test data<\/strong><\/h3><p>Each Live test dataset includes a set of DICOM MR image files and is labeled as RTMAC-LIVE-xxx, where xxx identifies the dataset ID.<\/p><p>Live test data are available\u00a0<u><a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/50135916\/AAPM%20RTMAC%20LIVE%20data%2007202020%20NBIA-manifest.tcia?version=1&amp;modificationDate=1595341421365&amp;api=v2\" data-linked-resource-id=\"70227332\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"AAPM RTMAC LIVE data 07202020 NBIA-manifest.tcia\" data-linked-resource-content-type=\"application\/x-nbia-manifest-file\" data-linked-resource-container-id=\"50135916\" data-linked-resource-container-version=\"61\">here<\/a><\/u>. (Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>.)<\/p><p>RTSTRUCT data associated with Live test data were made available 7\/20\/2020.<\/p><\/div><div class=\"tabs-pane \" id=\"5013591643fc48483c164e2cb4afb6ea869ed9c7\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-Citations&amp;DataUsagePolicy\">Citations &amp; Data Usage Policy<\/h3><p class=\"auto-cursor-target\">\n<p>\nUsers must abide by the <a href=\"https:\/\/wiki.cancerimagingarchive.net\/x\/c4hF\" class=\"external-link\" rel=\"nofollow\">TCIA Data Usage Policy and Restrictions<\/a>. Attribution should include references to the following citations:\n<\/p><\/p><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">Data Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p style=\"text-align: left;\"><span style=\"color: rgb(51,51,51);\">Cardenas, C., Mohamed, A., Sharp, G., Gooding, M., Veeraraghavan, H., &amp; Yang, J. (2019). <strong>Data from AAPM RT-MAC Grand Challenge 2019.<\/strong> The Cancer Imaging Archive. <a href=\"https:\/\/doi.org\/10.7937\/tcia.2019.bcfjqfqb\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.7937\/tcia.2019.bcfjqfqb<\/a>.<\/span><\/p><\/div><\/div><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">Publication Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\">Cardenas, C.E., Mohamed, A.S.R., Yang J., Gooding, M., Veeraraghavan, H., Kalpathy-Cramer J., Ng S.P., Ding Y., Wang J., Lai S.Y., Fuller C.D., &amp; Sharp, G. (2020) <strong>Head and neck cancer patient images for determining auto-segmentation accuracy in T2-weighted magnetic resonance imaging through expert manual segmentations<\/strong>. Med. Phys, <span class=\"cit\">47(5):2317-2322<\/span>. <span class=\"identifier doi\"><span class=\"id-label\">DOI: <\/span> <a href=\"https:\/\/doi.org\/10.1002\/mp.13942\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1002\/mp.13942<\/a>.<\/span><\/div><\/div><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">TCIA Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p>Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F.\u00a0<strong>The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository<\/strong>, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: <a href=\"https:\/\/doi.org\/10.1007\/s10278-013-9622-7\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1007\/s10278-013-9622-7<\/a><\/p><\/div><\/div><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-OtherPublicationsUsingThisData\">Other Publications Using This Data<\/h3><p><span>TCIA maintains<\/span> <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\" class=\"external-link\" rel=\"nofollow\"> a list of publications<\/a> <span> which leverage TCIA data. <\/span> If you have a manuscript you'd like to add please<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\" class=\"external-link\" rel=\"nofollow\"> contact the TCIA Helpdesk<\/a>.<\/p><\/div><div class=\"tabs-pane \" id=\"501359166f1503ce53ca48d3848aa820e4b24317\" name=\"Versions\" ><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-Version3:2020\/07\/20\">Version 3:\u00a0 2020\/07\/20<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\"><colgroup><col style=\"width: 277.0px;\"\/><col style=\"width: 216.0px;\"\/><\/colgroup><tbody><tr><th class=\"confluenceTh\"><span>Data Type<\/span><\/th><th class=\"confluenceTh\"><span>Download all or Query\/Filter<\/span><\/th><\/tr><tr><td class=\"confluenceTd\"><p><span>Images and Radiation Therapy Structures (DICOM, 3.5 GB)<\/span><\/p><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/50135916\/AAPM%20RT%20MAC%20July%2020%202020%20NBIA-manifest.tcia?version=1&amp;modificationDate=1595265571711&amp;api=v2\" data-linked-resource-id=\"70227295\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"AAPM RT MAC July 20 2020 NBIA-manifest.tcia\" data-linked-resource-content-type=\"application\/x-nbia-manifest-file\" data-linked-resource-container-id=\"50135916\" data-linked-resource-container-version=\"61\"><span class=\"confluence-embedded-file-wrapper\"><img class=\"confluence-embedded-image\" draggable=\"false\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/AAPM%20RT-MAC%20Grand%20Challenge%202019%20(AAPM-RT-MAC)\/tcia_wiki_download_button.png?api=v2\"><\/span><\/a> <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=AAPM-RT-MAC\" class=\"external-link\" rel=\"nofollow\"> <span class=\"confluence-embedded-file-wrapper\"><img class=\"confluence-embedded-image\" draggable=\"false\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/AAPM%20RT-MAC%20Grand%20Challenge%202019%20(AAPM-RT-MAC)\/tcia_wiki_search_button.png?api=v2\"><\/span> <\/a><\/p><p>(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a> <span>.<\/span>)<\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p>RTSTRUCTS for test and live data, previously embargoed, are now publicly visible. 12 RTSTRUCTS Test subjects, 12 RTSTRUCTS Live subjects.<\/p><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-Version2:2019\/07\/15\">Version 2:\u00a0 2019\/07\/15<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup> <col\/> <col\/> <\/colgroup><tbody><tr><th class=\"confluenceTh\"><span>Data Type<\/span><\/th><th class=\"confluenceTh\"><span>Download all or Query\/Filter<\/span><\/th><\/tr><tr><td class=\"confluenceTd\"><p><span>Images (DICOM, 3.5 GB)<\/span><\/p><p><span>MR<\/span><\/p><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/50135916\/AAPM%20RT%20MAC%20Grand%20Challenge%20Test%2C%20Train%2C%20Onsite%20data%20NBIA%20manifest-July%2015%202019.tcia?version=1&amp;modificationDate=1565380147149&amp;api=v2\" data-linked-resource-id=\"59310211\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"AAPM RT MAC Grand Challenge Test, Train, Onsite data NBIA manifest-July 15 2019.tcia\" data-linked-resource-content-type=\"application\/x-nbia-manifest-file\" data-linked-resource-container-id=\"50135916\" data-linked-resource-container-version=\"61\"><span class=\"confluence-embedded-file-wrapper\"><img class=\"confluence-embedded-image\" draggable=\"false\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/AAPM%20RT-MAC%20Grand%20Challenge%202019%20(AAPM-RT-MAC)\/tcia_wiki_download_button.png?api=v2\"><\/span><\/a> <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=AAPM-RT-MAC\" class=\"external-link\" rel=\"nofollow\"> <span class=\"confluence-embedded-file-wrapper\"><img class=\"confluence-embedded-image\" draggable=\"false\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/AAPM%20RT-MAC%20Grand%20Challenge%202019%20(AAPM-RT-MAC)\/tcia_wiki_search_button.png?api=v2\"><\/span> <\/a><\/p><p>(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a> <span>.<\/span>)<\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p class=\"auto-cursor-target\">Release of live data for AAPM challenge.<\/p><h3 id=\"AAPMRTMACGrandChallenge2019(AAPMRTMAC)-Version1:2019\/05\/23\">Version 1: 2019\/05\/23<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup> <col\/> <col\/> <\/colgroup><tbody><tr><th class=\"confluenceTh\"><span>Data Type<\/span><\/th><th class=\"confluenceTh\"><span>Download all or Query\/Filter<\/span><\/th><\/tr><tr><td class=\"confluenceTd\"><span>Images (DICOM, 2.7 GB)<\/span><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/50135916\/AAPM%20RT%20MAC%20Challenge%20Train%20and%20Test%20Data%20NBIA%20Manifest.tcia?version=1&amp;modificationDate=1560170429266&amp;api=v2\" data-linked-resource-id=\"52763077\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"AAPM RT MAC Challenge Train and Test Data NBIA Manifest.tcia\" data-linked-resource-content-type=\"application\/x-nbia-manifest-file\" data-linked-resource-container-id=\"50135916\" data-linked-resource-container-version=\"61\"><span class=\"confluence-embedded-file-wrapper\"><img class=\"confluence-embedded-image\" draggable=\"false\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/AAPM%20RT-MAC%20Grand%20Challenge%202019%20(AAPM-RT-MAC)\/tcia_wiki_download_button.png?api=v2\"><\/span><\/a> <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=AAPM-RT-MAC\" class=\"external-link\" rel=\"nofollow\"> <span class=\"confluence-embedded-file-wrapper\"><img class=\"confluence-embedded-image\" draggable=\"false\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/AAPM%20RT-MAC%20Grand%20Challenge%202019%20(AAPM-RT-MAC)\/tcia_wiki_search_button.png?api=v2\"><\/span> <\/a><\/p><p>(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a> <span>.<\/span>)<\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/div><\/div><\/div><p><br\/><\/p><p><br\/><\/p><p><br\/><\/p><p><br\/><\/p><p><br\/><\/p>","versions":false,"additional_resources":"","cancer_locations":["Head-Neck"],"collection_page_accessibility":"Public","publications_related":"","version_change_log":"","version_change_log_archived":"","analysis_results":"","collection_status":"Complete","publications_using":"TCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\"> a list of publications<\/a>  which leverage TCIA data.  If you have a manuscript you'd like to add please<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\"> contact the TCIA Helpdesk<\/a>.","species":["Human"],"collection_title":"AAPM RT-MAC Grand Challenge 2019","detailed_description":"<h3><strong>Supporting Documentation and Metadata<\/strong><\/h3>\nTo participate in the challenge and to learn more about the subsets of training and test data used please visit\u00a0<a href=\"http:\/\/aapmchallenges.cloudapp.net\/competitions\/34\">http:\/\/aapmchallenges.cloudapp.net\/competitions\/34<\/a>. Some information from the challenge site is included below.\n<h3><strong>Data description<\/strong><\/h3>\nT2 MR Images of 55 patients have been collected for this challenge. Data were acquired from MD Anderson Cancer Center. All images were scanned with a protocol specifically designed for head-and-neck radiation treatment simulation. Datasets were divided into three groups:\n<ul><li>31 training datasets<\/li><li>12 off-site test datasets<\/li><li>12 live test datasets<\/li><\/ul>\nData will be provided in DICOM (both MR and RTSTRUCT), as commonly used in most commercial treatment planning systems.\n<h3><strong>Contouring Guidelines<\/strong><\/h3>\nThe manual contours were drawn by a radiation oncologist at MD Anderson Cancer Center. The structures were contoured following the\u00a0<strong>DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncology and RROG consensus guidelines\u00a0<\/strong>reported in Brouwer et.al Radiotherapy and Oncol. 2015. Details of contouring guidelines can be found in \"Learn the Details\" on the challenge website. The following structures are included in this challenge:\n<ul><li>Parotid glands<\/li><li>Submandibular glands<\/li><li>Lymph nodes level II<\/li><li>Lymph nodes level III<\/li><\/ul>\n<h3><strong>Training Data<\/strong><\/h3>\nEach training dataset includes a set of DICOM MR image files and one DICOM RTSTRUCT file. Each training dataset is labeled as RTMAC-TRAIN-xxx, where xxx identifies the dataset ID.\nTraining data are available\u00a0<u><a data-linked-resource-container-id=\"50135916\" data-linked-resource-container-version=\"61\" data-linked-resource-content-type=\"application\/x-nbia-manifest-file\" data-linked-resource-default-alias=\"AAPM-RTMAC-Train-Data-NBIA-manifest.tcia\" data-linked-resource-id=\"52763073\" data-linked-resource-type=\"attachment\" data-linked-resource-version=\"1\" download=\"\" href=\"\/wp-content\/uploads\/AAPM-RTMAC-Train-Data-NBIA-manifest.tcia\" target=\"_blank\">here<\/a><\/u>.\u00a0(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>.)\n<h3><strong>Off-site test data<\/strong><\/h3>\nEach off-site test dataset includes a set of DICOM MR image files and is labeled as RTMAC-TEST-xxx, where xxx identifies the dataset ID.\nOff-site test data are available\u00a0<u><a data-linked-resource-container-id=\"50135916\" data-linked-resource-container-version=\"61\" data-linked-resource-content-type=\"application\/x-nbia-manifest-file\" data-linked-resource-default-alias=\"AAPM RTMAC TEST data 07202020 NBIA-manifest.tcia\" data-linked-resource-id=\"70227333\" data-linked-resource-type=\"attachment\" data-linked-resource-version=\"1\" download=\"\" href=\"\/wp-content\/uploads\/AAPM-RTMAC-TEST-data-07202020-NBIA-manifest.tcia\" target=\"_blank\">here<\/a><\/u>.\u00a0(Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>.)\nRTSTRUCT data associated with Off-site test data were made available 7\/20\/2020.\n<h3><strong>Live test data<\/strong><\/h3>\nEach Live test dataset includes a set of DICOM MR image files and is labeled as RTMAC-LIVE-xxx, where xxx identifies the dataset ID.\nLive test data are available\u00a0<u><a data-linked-resource-container-id=\"50135916\" data-linked-resource-container-version=\"61\" data-linked-resource-content-type=\"application\/x-nbia-manifest-file\" data-linked-resource-default-alias=\"AAPM RTMAC LIVE data 07202020 NBIA-manifest.tcia\" data-linked-resource-id=\"70227332\" data-linked-resource-type=\"attachment\" data-linked-resource-version=\"1\" download=\"\" href=\"\/wp-content\/uploads\/AAPM-RTMAC-LIVE-data-07202020-NBIA-manifest.tcia\" target=\"_blank\">here<\/a><\/u>. (Requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>.)\nRTSTRUCT data associated with Live test data were made available 7\/20\/2020.","related_analysis_results":false,"subjects":"55","collection_short_title":"AAPM-RT-MAC","data_types":["MR","RTSTRUCT"],"date_updated":"2023-09-13","collection_browse_title":"","supporting_data":false,"collection_featured_image":{"ID":"7547","post_author":"6","post_date":"2023-09-13 03:33:38","post_date_gmt":"2023-09-13 03:33:38","post_content":"","post_title":"RTMACImage","post_excerpt":"","post_status":"inherit","comment_status":"open","ping_status":"closed","post_password":"","post_name":"rtmacimage","to_ping":"","pinged":"","post_modified":"2023-09-13 11:54:03","post_modified_gmt":"2023-09-13 11:54:03","post_content_filtered":"","post_parent":"5515","guid":"https:\/\/cm.vastapps.dev\/wp-content\/uploads\/RTMACImage.png","menu_order":"0","post_type":"attachment","post_mime_type":"image\/png","comment_count":"0","pod_item_id":"7547"},"collection_summary":"<p>This data set was provided in association with a\u00a0<a href=\"https:\/\/www.aapm.org\/GrandChallenge\/RT-MAC\/\">challenge competition<\/a>\u00a0and\u00a0<a href=\"https:\/\/w3.aapm.org\/meetings\/2019AM\/programInfo\/programSessions.php?t=all&amp;sid=8284\">related conference session<\/a>\u00a0conducted at the <a href=\"https:\/\/w3.aapm.org\/meetings\/2019AM\/\">AAPM 2019 Annual Meeting<\/a>.\u00a0<\/p><p>MRI is popular in radiation oncology because of its excellent imaging quality of soft tissue and tumor. With the advent of MR-Linac and MR-guided radiation therapy, there is a trend toward a MR-based radiation treatment planning. Contouring is an important task in modern radiation treatment planning and frequently introduces uncertainties in radiation therapy due to observer variabilities. Auto-segmentation has been demonstrated as an effective approach to reduce this uncertainty. The overall objective of this grand challenge is to provide a platform for comparison of various auto-segmentation algorithms when they are used to delineate organs at risk (OARs) or tumors from MR images for head and neck patients for radiation treatment planning. The results will provide an indication of the performances achieved by various auto-segmentation algorithms and can be used to guide the selection of these algorithms for clinic use if desirable.<\/p><p>The data for this challenge contains a total of 55 MRI cases, each from a single examination from a distinct patient, with each case consisting of a T2-weighted MRI images in DICOM format. The MRI scanning protocol was designed for radiation treatment simulation. Thirty-one of these will be provided as training cases, with the parotid glands, submandibular glands, level 2 and level 3 lymph nodes contoured. The images and contours were acquired from MD Anderson Cancer Center.<\/p><p>More details on accessing the various challenge subsets (training, off-site test, and live test) can be found on the Detailed Description tab below.\u00a0<\/p>","collection_acknowledgements":"We would like to acknowledge the individuals and institutions that have provided data for this collection:\n<ul><li>The University of Texas\u00a0MD Anderson\u00a0Cancer Center Houston, Texas, USA\u00a0<\/li><\/ul>","collection_funding":"","hide_from_browse_table":[],"_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5515"}],"collection":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections"}],"about":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/types\/tcia_collection"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/media\/7547"}],"wp:attachment":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/media?parent=5515"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}