{"id":5652,"date":"2023-09-04T03:15:30","date_gmt":"2023-09-04T03:15:30","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/prostate-mri\/"},"modified":"2023-09-13T12:01:38","modified_gmt":"2023-09-13T12:01:38","slug":"prostate-mri","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/prostate-mri\/","title":{"rendered":"PROSTATE-MRI"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Prostate Cancer"],"citations":[4578,2925],"collection_doi":"http:\/\/doi.org\/10.7937\/K9\/TCIA.2016.6046GUDv","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5186,5188],"full_export":"<div class=\"contentLayout2\">\n<div class=\"columnLayout two-right-sidebar\" data-layout=\"two-right-sidebar\">\n<div class=\"cell normal\" data-type=\"normal\">\n<div class=\"innerCell\">\n<h2 id=\"PROSTATEMRI-Summary\">Summary<\/h2><p>This collection of prostate Magnetic Resonance Images (MRIs) was obtained with an endorectal and phased array surface coil at 3T (Philips Achieva). Each patient had biopsy confirmation of cancer and underwent a robotic-assisted radical prostatectomy. A mold was generated from each MRI, and the prostatectomy specimen was first placed in the mold, then cut in the same plane as the MRI. The data was generated at the National Cancer Institute, Bethesda, Maryland, USA between 2008-2010. For scientific or other inquiries relating to this data set, please\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\" rel=\"nofollow\" style=\"text-decoration: underline;text-align: left;\" class=\"external-link\">contact the TCIA Helpdesk<\/a><span style=\"color: rgb(33,37,41);\">.<\/span><\/p><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=\"#32772606071bb4b8656429b985a96ba822ef773\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#3277260797487cb159f45a2a54f730aab8fd68a\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#3277260637e0878931b4111865e843c403608db\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#32772603c3d94a0ba174b0083aea2655d06b0b2\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"32772606071bb4b8656429b985a96ba822ef773\" active=\"true\" name=\"Data Access\" ><h3 id=\"PROSTATEMRI-DataAccess\">Data Access<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 76.3111%;\"><colgroup><col style=\"width: 27.0693%;\"\/><col style=\"width: 39.6335%;\"\/><col style=\"width: 33.2904%;\"\/><\/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, 3.2GB)<\/td><td 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\/3277260\/PROSTATE-MRI-5-18-2018-doiJNLP-dKJJAqnS.tcia?version=1&amp;modificationDate=1534786953393&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:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=PROSTATE-MRI\" 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 the<span>\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>)<\/span><\/p><\/div><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><span>\n<a href=\"https:\/\/creativecommons.org\/licenses\/by\/3.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 3.0<\/a><br\/><\/span><\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\">Pathology Images (JPEG, 206MB)<\/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:\/\/faspex.cancerimagingarchive.net\/aspera\/faspex\/external_deliveries\/60?passcode=685efef8b7729fb050f6877c3b08533819bcc28d\" class=\"external-link\" 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:\/\/pathdb.cancerimagingarchive.net\/imagesearch?f[0]=collection:prostate_mri\" 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 and apply the\u00a0<a href=\"https:\/\/www.ibm.com\/aspera\/connect\/\" class=\"external-link\" rel=\"nofollow\">IBM-Aspera-Connect plugin\u00a0<\/a>to your browser to retrieve this faspex package)\u00a0<\/p><\/div><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><span>\n<a href=\"https:\/\/creativecommons.org\/licenses\/by\/3.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 3.0<\/a><br\/><\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p>Click the Versions tab for more info about data releases.<\/p><p>\n<h3 id=\"PROSTATEMRI-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><\/p><ul><li class=\"auto-cursor-target\"><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=prostate_mri\" class=\"external-link\" rel=\"nofollow\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li><\/ul><\/div><div class=\"tabs-pane \" id=\"3277260797487cb159f45a2a54f730aab8fd68a\" name=\"Detailed Description\" ><h3 id=\"PROSTATEMRI-DetailedDescription\">Detailed Description<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup><col\/><col\/><col\/><\/colgroup><tbody><tr><th class=\"confluenceTh\"><div class=\"tablesorter-header-inner\"><p><br\/><\/p><\/div><\/th><th class=\"confluenceTh\"><div class=\"tablesorter-header-inner\"><p>Radiology Statistics<\/p><\/div><\/th><th class=\"confluenceTh\"><div class=\"tablesorter-header-inner\"><p>Pathology Statistics<\/p><\/div><\/th><\/tr><tr><td class=\"confluenceTd\"><p>Modalities<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>MR (with some PET\/CT)<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>biopsy<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Participants<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>26<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>26<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Studies<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>26<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\">26<\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Series<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>182<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\">26<\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>22,036<\/p><\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><p>26<\/p><\/td><\/tr><tr><td class=\"confluenceTd\">Image Size\u00a0<\/td><td style=\"text-align: center;\" class=\"confluenceTd\">3.2 GB<\/td><td style=\"text-align: center;\" class=\"confluenceTd\"><span style=\"color: rgb(33,37,41);\">206 MB<\/span><\/td><\/tr><\/tbody><\/table><\/div><p class=\"auto-cursor-target\"><strong>Note from the investigators<\/strong>: The DICOM elements for these values may no longer exist within the files themselves but: the b values are 0, 188, 375, 563, 750 for the diffusion weighted MRI of that dataset.<\/p><\/div><div class=\"tabs-pane \" id=\"3277260637e0878931b4111865e843c403608db\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"PROSTATEMRI-Citations&amp;DataUsagePolicy\">Citations &amp; Data Usage Policy\u00a0<\/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>Choyke P, Turkbey B, Pinto P, Merino M, Wood B. (2016). Data From PROSTATE-MRI. The Cancer Imaging Archive. <a href=\"http:\/\/doi.org\/10.7937\/K9\/TCIA.2016.6046GUDv\" class=\"external-link\" rel=\"nofollow\">http:\/\/doi.org\/10.7937\/K9\/TCIA.2016.6046GUDv<\/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><span style=\"color: rgb(0,0,0);\">Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., &amp; Prior, F. (2013). <\/span><strong style=\"\">The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository.<\/strong><span style=\"color: rgb(0,0,0);\"> In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045\u20131057). Springer Science and Business Media LLC. <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> PMCID: PMC3824915<\/span><\/p><\/div><\/div><h3 id=\"PROSTATEMRI-OtherPublicationsUsingThisData\">Other Publications Using This Data<\/h3><p><span style=\"color: rgb(33,37,41);\">TCIA maintains<\/span><span style=\"color: rgb(33,37,41);\">\u00a0<\/span><a style=\"text-decoration: none;text-align: left;\" rel=\"nofollow\" href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\" class=\"external-link\">a list of publications<\/a><span style=\"color: rgb(33,37,41);\">\u00a0<\/span><span style=\"color: rgb(33,37,41);\">that leverage TCIA data.\u00a0<\/span><span style=\"color: rgb(33,37,41);\">If you have a manuscript you'd like to add please<\/span><a style=\"text-decoration: none;text-align: left;\" href=\"http:\/\/www.cancerimagingarchive.net\/support\/\" rel=\"nofollow\" class=\"external-link\"><span>\u00a0<\/span>contact the TCIA Helpdesk<\/a><span style=\"color: rgb(33,37,41);\">.<span>\u00a0<\/span><\/span><span style=\"color: rgb(33,37,41);\">Below is a list of such publications using this Collection:<\/span><\/p><ul><li><span style=\"color: rgb(102,102,102);\">Mayer, R., Simone II, C. B., Turkbey, B., &amp; Choyke, P. (2021). Correlation of prostate tumor eccentricity and Gleason scoring from prostatectomy and multi-parametric-magnetic resonance imaging. In Quantitative Imaging in Medicine and Surgery (Vol. 11, Issue 10, pp. 4235\u20134244). AME Publishing Company. <a href=\"https:\/\/doi.org\/10.21037\/qims-21-24\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.21037\/qims-21-24<\/a><\/span><\/li><li>Mayer, R., Simone II, C. B., Turkbey, B., &amp; Choyke, P. (2021). Algorithms applied to spatially registered multi-parametric MRI for prostate tumor volume measurement. In Quantitative Imaging in Medicine and Surgery (Vol. 11, Issue 1, pp. 119\u2013132). AME Publishing Company. <a href=\"https:\/\/doi.org\/10.21037\/qims-20-137a\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.21037\/qims-20-137a<\/a><\/li><li>Mayer, R., Simone, C. B., II, Skinner, W., Turkbey, B., &amp; Choykey, P. (2018). Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer. In Computers in Biology and Medicine (Vol. 94, pp. 65\u201373). Elsevier BV. <a href=\"https:\/\/doi.org\/10.1016\/j.compbiomed.2018.01.003\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.compbiomed.2018.01.003<\/a><\/li><li>Ciga, O., Xu, T., &amp; Martel, A. L. (2022). Self supervised contrastive learning for digital histopathology. Machine Learning with Applications, 7. doi:10.1016\/j.mlwa.2021.100198<\/li><li>Du, R., &amp; Vardhanabhuti, V. (2020, 06-08 July 2020). 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks. Paper presented at the Third Conference on Medical Imaging with Deep Learning (MIDL 2020), Montr\u00e9al, QC, Canada.<\/li><li>Elkhader, J. A. (2022). An Integrative Approach to Drug Development Using Machine Learning. (Ph. D. Dissertation). Weill Medical College of Cornell University\u2009ProQuest Dissertations Publishing, Available from TCIA 10.7937\/k9tcia.2017.murs5cl ; 10.7937\/K9\/TCIA.2016.6046GUDV database. (29390845)<\/li><li>Namakshenas, P., &amp; Mojra, A. (2021). Optimization of polyethylene glycol-based hydrogel rectal spacer for focal laser ablation of prostate peripheral zone tumor. Physica Medica, 89, 104-113. doi:10.1016\/j.ejmp.2021.07.034<\/li><\/ul><\/div><div class=\"tabs-pane \" id=\"32772603c3d94a0ba174b0083aea2655d06b0b2\" name=\"Versions\" ><h3 id=\"PROSTATEMRI-Version1(Current):Updated2011\/06\/30\">Version 1 (Current): Updated 2011\/06\/30<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 50.6145%;\"><colgroup> <col style=\"width: 36.6901%;\"\/> <col style=\"width: 63.3099%;\"\/> <\/colgroup><tbody><tr><th colspan=\"1\" class=\"confluenceTh\">Data Type<\/th><th colspan=\"1\" class=\"confluenceTh\">Download all or Query\/Filter<\/th><\/tr><tr><td class=\"confluenceTd\">Images (DICOM, 3.2GB)<\/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\/3277260\/PROSTATE-MRI-5-18-2018-doiJNLP-dKJJAqnS.tcia?version=1&amp;modificationDate=1534786953393&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:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=PROSTATE-MRI\" 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\u00a0the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>)<\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\">Pathology Images (JPEG)<\/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:\/\/faspex.cancerimagingarchive.net\/aspera\/faspex\/external_deliveries\/60?passcode=685efef8b7729fb050f6877c3b08533819bcc28d\" class=\"external-link\" 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:\/\/pathdb.cancerimagingarchive.net\/imagesearch?f[0]=collection:prostate_mri\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span><span style=\"color: rgb(33,37,41);\">(Download and apply the\u00a0<\/span><a href=\"https:\/\/www.ibm.com\/aspera\/connect\/\" class=\"external-link\" rel=\"nofollow\"><span style=\"color: rgb(81,166,250);\">IBM-Aspera-Connect plugin\u00a0<\/span><\/a><span style=\"color: rgb(33,37,41);\"><span>to your browser to retrieve this faspex package)\u00a0<\/span><\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p class=\"auto-cursor-target\">Update May 2018: The download of these data is no longer Limited to users with specific permission from the PIs of the Collection.<\/p><\/div><\/div><\/div><\/div><\/div>\n<\/div>\n<div class=\"cell aside\" data-type=\"aside\">\n<div class=\"innerCell\">\n<p><br\/><\/p><\/div>\n<\/div>\n<\/div>\n<\/div>","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 \n<ul><li><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=prostate_mri\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li><\/ul>","cancer_locations":["Prostate"],"collection_page_accessibility":"Public","publications_related":"","version_change_log":"","version_change_log_archived":"","analysis_results":"","collection_status":"Complete","publications_using":"TCIA maintains\u00a0<a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\">a list of publications<\/a>\u00a0that leverage TCIA data.\u00a0If you have a manuscript you'd like to add please<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">\u00a0contact the TCIA Helpdesk<\/a>.\u00a0Below is a list of such publications using this Collection:\n<ul><li>Mayer, R., Simone II, C. B., Turkbey, B., &amp; Choyke, P. (2021). Correlation of prostate tumor eccentricity and Gleason scoring from prostatectomy and multi-parametric-magnetic resonance imaging. In Quantitative Imaging in Medicine and Surgery (Vol. 11, Issue 10, pp. 4235\u20134244). AME Publishing Company. <a href=\"https:\/\/doi.org\/10.21037\/qims-21-24\">https:\/\/doi.org\/10.21037\/qims-21-24<\/a><\/li><li>Mayer, R., Simone II, C. B., Turkbey, B., &amp; Choyke, P. (2021). Algorithms applied to spatially registered multi-parametric MRI for prostate tumor volume measurement. In Quantitative Imaging in Medicine and Surgery (Vol. 11, Issue 1, pp. 119\u2013132). AME Publishing Company. <a href=\"https:\/\/doi.org\/10.21037\/qims-20-137a\">https:\/\/doi.org\/10.21037\/qims-20-137a<\/a><\/li><li>Mayer, R., Simone, C. B., II, Skinner, W., Turkbey, B., &amp; Choykey, P. (2018). Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer. In Computers in Biology and Medicine (Vol. 94, pp. 65\u201373). Elsevier BV. <a href=\"https:\/\/doi.org\/10.1016\/j.compbiomed.2018.01.003\">https:\/\/doi.org\/10.1016\/j.compbiomed.2018.01.003<\/a><\/li><li>Ciga, O., Xu, T., &amp; Martel, A. L. (2022). Self supervised contrastive learning for digital histopathology. Machine Learning with Applications, 7. doi:10.1016\/j.mlwa.2021.100198<\/li><li>Du, R., &amp; Vardhanabhuti, V. (2020, 06-08 July 2020). 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks. Paper presented at the Third Conference on Medical Imaging with Deep Learning (MIDL 2020), Montr\u00e9al, QC, Canada.<\/li><li>Elkhader, J. A. (2022). An Integrative Approach to Drug Development Using Machine Learning. (Ph. D. Dissertation). Weill Medical College of Cornell University\u2009ProQuest Dissertations Publishing, Available from TCIA 10.7937\/k9tcia.2017.murs5cl ; 10.7937\/K9\/TCIA.2016.6046GUDV database. (29390845)<\/li><li>Namakshenas, P., &amp; Mojra, A. (2021). Optimization of polyethylene glycol-based hydrogel rectal spacer for focal laser ablation of prostate peripheral zone tumor. Physica Medica, 89, 104-113. doi:10.1016\/j.ejmp.2021.07.034<\/li><\/ul>","species":["Human"],"collection_title":"PROSTATE-MRI","detailed_description":"<strong>Note from the investigators<\/strong>: The DICOM elements for these values may no longer exist within the files themselves but: the b values are 0, 188, 375, 563, 750 for the diffusion weighted MRI of that dataset.","related_analysis_results":false,"subjects":"26","collection_short_title":"PROSTATE-MRI","data_types":["MR","Pathology"],"date_updated":"2023-09-13","collection_browse_title":"","supporting_data":false,"collection_featured_image":false,"collection_summary":"This collection of prostate Magnetic Resonance Images (MRIs) was obtained with an endorectal and phased array surface coil at 3T (Philips Achieva). Each patient had biopsy confirmation of cancer and underwent a robotic-assisted radical prostatectomy. A mold was generated from each MRI, and the prostatectomy specimen was first placed in the mold, then cut in the same plane as the MRI. The data was generated at the National Cancer Institute, Bethesda, Maryland, USA between 2008-2010. For scientific or other inquiries relating to this data set, please\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">contact the TCIA Helpdesk<\/a>.","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":[],"_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5652"}],"collection":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections"}],"about":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/types\/tcia_collection"}],"wp:attachment":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/media?parent=5652"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}