{"id":5737,"date":"2023-09-04T03:22:32","date_gmt":"2023-09-04T03:22:32","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/b-mode-and-ceus-liver\/"},"modified":"2023-09-13T12:05:30","modified_gmt":"2023-09-13T12:05:30","slug":"b-mode-and-ceus-liver","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/b-mode-and-ceus-liver\/","title":{"rendered":"B-MODE-AND-CEUS-LIVER"},"featured_media":8531,"template":"","citation-tax":[],"cancer_types":["Liver Cancer"],"citations":[4729,2925],"collection_doi":"10.7937\/TCIA.2021.v4z7-tc39","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5340,5341],"full_export":"<h2 id=\"Ultrasounddataofavarietyoflivermasses(BmodeandCEUSLiver)-Summary\">Summary<\/h2><div class=\"wiki-content\"><p class=\"auto-cursor-target\"><span class=\"confluence-embedded-file-wrapper image-right-wrapper confluence-embedded-manual-size\"><img class=\"confluence-embedded-image image-right\" draggable=\"false\" height=\"250\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/Ultrasound%20data%20of%20a%20variety%20of%20liver%20masses%20(B-mode-and-CEUS-Liver)\/ceus.png?api=v2\"><\/span><\/p>Data were generated as part of two ongoing clinical trials investigating the use of <u><strong>c<\/strong><\/u>ontrast-<u><strong>e<\/strong><\/u>nhanced <u><strong>u<\/strong><\/u>ltra<u><strong>s<\/strong><\/u>ound to a) characterize indeterminate liver lesions and b) monitor treatment response to loco regional therapy. Ultrasound data was obtained on a variety of state of the art ultrasound scanners with curvilinear probes. Gain, dynamic range, focus position and depth were optimized for image quality by the performing sonographer. Images of the mass in both sagittal and transverse planes were obtained and saved in DICOM format. Full cine-loops of the contrast enhanced ultrasound are also saved in DICOM format. The reference standard used for lesion characterization included tissue pathology and contrast-enhanced cross-sectional imaging within 1 month of the ultrasound exam. The initial treatment response to transarterial chemoembolization is also available for many hepatocellular carcinoma (HCC) cases and uses pathology, retreatment angiography, or longer-term tumor response on cross-sectional imaging as a reference standard.<\/p><p>We expect these images can be used in a wide variety of image processing application. We are currently exploring a variety of automated intelligence algorithms for AI-based lesion characterization. Algorithms for object detection and segmentation may also be of interest. As the studies that have generated this data are also ongoing, it is expected that we can add volumetric data, contrast-enhanced ultrasound cine loops, and longer-term treatment response data to this data set in the future.<p><br\/><\/p><p><span style=\"font-size: 16.0px;font-weight: bold;\">Acknowledgements<\/span><\/p><p>We would like to acknowledge the individuals and institutions that have provided data for this collection:<\/p><ul><li><p><em>Thomas Jefferson University, Philadelphia, PA, USA - Special thanks to John Eisenbrey, PhD from the Department of Radiology, Andrej Lyshchik, MD, PhD from the Department of Radiology, Corinne Wessner, MBA from the Department of Radiology<\/em><\/p><\/li><li>This work was supported in whole or in part under <span style=\"color: rgb(0,0,0);\">R01 CA194307 ; R01 CA215520 <\/span>.<\/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=\"#6108061743a8f00e5d0d44739885b7ae07d35194\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#61080617ec720f8a20dc433e829153ddcec4dd42\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#61080617363a18a4fe694b0fb0312781a25414a6\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#61080617e9a43d6235e14fc692470e16c7ba2dc0\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"6108061743a8f00e5d0d44739885b7ae07d35194\" active=\"true\" name=\"Data Access\" ><h3 id=\"Ultrasounddataofavarietyoflivermasses(BmodeandCEUSLiver)-DataAccess\">Data Access<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup><col\/><col\/><col\/><\/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\">Images (DICOM, 253 GB)<\/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\/61080617\/B-mode-and-CEUS-Liver_20220218.tcia?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:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=B-mode-and-CEUS-Liver\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span><\/p><p class=\"auto-cursor-target\">(Download requires <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:\/\/creativecommons.org\/licenses\/by\/4.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 4.0<\/a><\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\">Clinical data (XLSX, 24KB)<\/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\/61080617\/B-mode-and-CEUS-Liver_ReferenceStandards_v2_20220218.xlsx?api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n<a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 4.0<\/a><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p>Click the Versions tab for more info about data releases.<\/p>\n<h3 id=\"Ultrasounddataofavarietyoflivermasses(BmodeandCEUSLiver)-AdditionalResourcesforthisDataset\">Additional Resources for this Dataset<\/h3>\n<p>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.<\/p><ul style=\"text-align: left;\"><li class=\"auto-cursor-target\"><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=b_mode_and_ceus_liver\" class=\"external-link\" rel=\"nofollow\">Imaging Data Commons (IDC)<\/a><span>\u00a0<\/span>(Imaging Data)<\/li><\/ul><\/div><div class=\"tabs-pane \" id=\"61080617ec720f8a20dc433e829153ddcec4dd42\" name=\"Detailed Description\" ><h3 id=\"Ultrasounddataofavarietyoflivermasses(BmodeandCEUSLiver)-DetailedDescription\">Detailed Description<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 13.337%;\"><colgroup> <col style=\"width: 55.4601%;\"\/> <col style=\"width: 44.5268%;\"\/> <\/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 style=\"text-align: center;\" class=\"confluenceTd\"><p>US (B-Mode)<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Participants<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>120<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Studies<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>120<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Series<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>120<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>1859<\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Images Size (GB)<\/td><td style=\"text-align: center;\" colspan=\"1\" class=\"confluenceTd\">253 GB<\/td><\/tr><\/tbody><\/table><\/div><p><br\/><\/p><\/div><div class=\"tabs-pane \" id=\"61080617363a18a4fe694b0fb0312781a25414a6\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"Ultrasounddataofavarietyoflivermasses(BmodeandCEUSLiver)-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>Eisenbrey, J., Lyshchik, A., &amp; Wessner, C. (2021).<strong> Ultrasound data of a variety of liver masses <\/strong>[Data set]. The Cancer Imaging Archive.\u00a0 <span>DOI: <\/span><a href=\"https:\/\/doi.org\/10.7937\/tcia.2021.v4z7-tc39\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.7937\/TCIA.2021.v4z7-tc39<\/a><\/p><\/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\">10.1007\/s10278-013-9622-7<\/a><\/p><\/div><\/div><h3 id=\"Ultrasounddataofavarietyoflivermasses(BmodeandCEUSLiver)-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=\"61080617e9a43d6235e14fc692470e16c7ba2dc0\" name=\"Versions\" ><h3 id=\"Ultrasounddataofavarietyoflivermasses(BmodeandCEUSLiver)-Version2(Current):Updated2022\/02\/18\">Version 2 (Current): Updated 2022\/02\/18<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 19.715%;\"><colgroup> <col style=\"width: 32.6805%;\"\/> <col style=\"width: 67.2065%;\"\/> <\/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 colspan=\"1\" class=\"confluenceTd\">Images (DICOM, 253 GB)<\/td><td colspan=\"1\" class=\"confluenceTd\"><div class=\"content-wrapper\"><p><br\/>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/61080617\/B-mode-and-CEUS-Liver_20220218.tcia?api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p>\u00a0 \u00a0<p>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=B-mode-and-CEUS-Liver\" 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>(Download requires <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a> app)<\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\">Clinical data (XLSX, 24KB)<\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/61080617\/B-mode-and-CEUS-Liver_ReferenceStandards_v1_20210804.xlsx?version=1&amp;modificationDate=1628100506702&amp;api=v2\" data-linked-resource-id=\"95224080\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"B-mode-and-CEUS-Liver_ReferenceStandards_v1_20210804.xlsx\" data-nice-type=\"Excel Spreadsheet\" data-linked-resource-content-type=\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\" data-linked-resource-container-id=\"61080617\" data-linked-resource-container-version=\"40\">&nbsp;<\/a>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/61080617\/B-mode-and-CEUS-Liver_ReferenceStandards_v2_20220218.xlsx?api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p>Added 45 new participants and a new spreadsheet version.<\/p><h3 id=\"Ultrasounddataofavarietyoflivermasses(BmodeandCEUSLiver)-Version1:Updated2021\/08\/04\">Version 1: Updated 2021\/08\/04<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 19.6412%;\"><colgroup> <col style=\"width: 32.8033%;\"\/> <col style=\"width: 67.0832%;\"\/> <\/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 colspan=\"1\" class=\"confluenceTd\">Images (DICOM, 208 GB)<\/td><td colspan=\"1\" class=\"confluenceTd\"><div class=\"content-wrapper\"><p><br\/>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/61080617\/B-mode-and-CEUS-Liver_20210728.tcia?api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p>\u00a0 \u00a0<p>(Download requires <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a> app)<\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\">Clinical data (XLSX, 19KB)<\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/61080617\/B-mode-and-CEUS-Liver_ReferenceStandards_v1_20210804.xlsx?version=1&amp;modificationDate=1628100506702&amp;api=v2\" data-linked-resource-id=\"95224080\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"B-mode-and-CEUS-Liver_ReferenceStandards_v1_20210804.xlsx\" data-nice-type=\"Excel Spreadsheet\" data-linked-resource-content-type=\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\" data-linked-resource-container-id=\"61080617\" data-linked-resource-container-version=\"40\">&nbsp;<\/a>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/61080617\/B-mode-and-CEUS-Liver_ReferenceStandards_v1_20210804.xlsx?api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p><span>7\/28\/21 Added new participants.<br\/>8\/4\/21 Added spreadsheet.<br\/><\/span><\/p><\/div><\/div><\/div><\/div><\/div><p><br\/><\/p><p><br\/><\/p><p><br\/><\/p><p><br\/><\/p><p><br\/><\/p>","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.\n<li><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=b_mode_and_ceus_liver\">Imaging Data Commons (IDC)<\/a>\u00a0(Imaging Data)<\/li>","cancer_locations":["Liver"],"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":"Ultrasound data of a variety of liver masses","detailed_description":"<br\/>","related_analysis_results":false,"subjects":"120","collection_short_title":"B-mode-and-CEUS-Liver","data_types":["US"],"date_updated":"2023-09-13","collection_browse_title":"","supporting_data":["Clinical"],"collection_featured_image":{"ID":"8531","post_author":"6","post_date":"2023-09-13 04:14:22","post_date_gmt":"2023-09-13 04:14:22","post_content":"","post_title":"ceus","post_excerpt":"","post_status":"inherit","comment_status":"open","ping_status":"closed","post_password":"","post_name":"ceus","to_ping":"","pinged":"","post_modified":"2023-09-13 12:05:30","post_modified_gmt":"2023-09-13 12:05:30","post_content_filtered":"","post_parent":"5737","guid":"https:\/\/cm.vastapps.dev\/wp-content\/uploads\/ceus.png","menu_order":"0","post_type":"attachment","post_mime_type":"image\/png","comment_count":"0","pod_item_id":"8531"},"collection_summary":"Data were generated as part of two ongoing clinical trials investigating the use of <u><strong>c<\/strong><\/u>ontrast-<u><strong>e<\/strong><\/u>nhanced <u><strong>u<\/strong><\/u>ltra<u><strong>s<\/strong><\/u>ound to a) characterize indeterminate liver lesions and b) monitor treatment response to loco regional therapy. Ultrasound data was obtained on a variety of state of the art ultrasound scanners with curvilinear probes. Gain, dynamic range, focus position and depth were optimized for image quality by the performing sonographer. Images of the mass in both sagittal and transverse planes were obtained and saved in DICOM format. Full cine-loops of the contrast enhanced ultrasound are also saved in DICOM format. The reference standard used for lesion characterization included tissue pathology and contrast-enhanced cross-sectional imaging within 1 month of the ultrasound exam. The initial treatment response to transarterial chemoembolization is also available for many hepatocellular carcinoma (HCC) cases and uses pathology, retreatment angiography, or longer-term tumor response on cross-sectional imaging as a reference standard.<p>We expect these images can be used in a wide variety of image processing application. We are currently exploring a variety of automated intelligence algorithms for AI-based lesion characterization. Algorithms for object detection and segmentation may also be of interest. As the studies that have generated this data are also ongoing, it is expected that we can add volumetric data, contrast-enhanced ultrasound cine loops, and longer-term treatment response data to this data set in the future.<\/p>\n<br\/>\nAcknowledgements\nWe would like to acknowledge the individuals and institutions that have provided data for this collection:\n<ul><li><p><em>Thomas Jefferson University, Philadelphia, PA, USA - Special thanks to John Eisenbrey, PhD from the Department of Radiology, Andrej Lyshchik, MD, PhD from the Department of Radiology, Corinne Wessner, MBA from the Department of Radiology<\/em><\/p><\/li><li>This work was supported in whole or in part under R01 CA194307 ; R01 CA215520 .<\/li><\/ul>","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":[],"_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5737"}],"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\/8531"}],"wp:attachment":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/media?parent=5737"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5737"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}