{"id":5615,"date":"2023-09-04T03:12:45","date_gmt":"2023-09-04T03:12:45","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/pdmr-bl0293-f563\/"},"modified":"2023-09-13T11:59:55","modified_gmt":"2023-09-13T11:59:55","slug":"pdmr-bl0293-f563","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/pdmr-bl0293-f563\/","title":{"rendered":"PDMR-BL0293-F563"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Bladder Cancer"],"citations":[4506,4507,2925],"collection_doi":"10.7937\/tcia.2019.b6u7wmqw","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5088],"full_export":"<h2 id=\"Imagingcharacterizationofametastaticpatientderivedmodelofbladdercancer:BL0293F(PDMRBL0293F563)-Summary\">Summary<\/h2><div class=\"wiki-content\"><p><br\/><\/p>Pre-clinical animal models of spontaneous metastatic cancer are infrequent; the few that exist\u00a0are resource intensive because determination of the presence of metastatic disease,\u00a0metastatic burden, and response to therapy normally require animal sacrifice and extensive\u00a0pathological examination. We recently identified and characterized a patient derived xenograft\u00a0model with metastatic potential, bladder xenograft BL0293-F563, developed by Jackson\u00a0Laboratories and the University of California at Davis. In this study we performed a detailed\u00a0imaging characterization of this model, which develops spontaneous liver and bone\u00a0metastases. Using non-contrast T2 weighted MRI, hepatic metastases were demonstrated in\u00a0over 70% of animals at 52 days post tumor implantation without resection of the xenograft and\u00a0in 100% of animals at day 52 following resection of the xenograft. T2w turbo spin echo (T2wTSE) sequence was applied in the coronal view with a repetition time (TR) 5333ms, echo time\u00a0(TE) 65ms, with an in-plane pixel of 0.180 \u00d7 0.180 mm2. A Spectral Presaturation with\u00a0Inversion Recovery (SPIR) sequence (Philips Healthcare, Best, The Netherlands) was used to\u00a0suppress the fat component and assist in distinguishing fat from cystic mass and tumor\u00a0tissue. In a group of animals receiving one cycle of effective chemotherapy ([Temozolomide;\u00a0(50 mg\/kg; PO, QDx5)] plus [(veliparib, a poly (ADP-ribose) polymerase inhibitor) (7.75 mg\/kg;\u00a0PO; BIDx7)]), no animals demonstrated metastasis by imaging. The imaging characteristics of\u00a0this model, which is available from the National Cancer Institute Patient-Derived Models\u00a0Repository (<a rel=\"nofollow\" href=\"https:\/\/pdmr.cancer.gov\/\" class=\"external-link\">https:\/\/pdmr.cancer.gov\/<\/a>), is highly favorable for preclinical research studies of\u00a0metastatic disease when used in conjunction with non-contrast T2 weighted MRI.<p><br\/><\/p><p><span style=\"font-size: 16.0px;font-weight: bold;\">Acknowledgements<\/span><\/p><ul><li><p>We would like to thank Nimit Patel of the Small Animal Imaging Program for analyzing ultrasound and assisting with the experiment; Simone Difilippantonio for coordinating her staff and Amy James of the Animal Research Technical Support Program for preparing the drug and administration, measuring body weights, and tumor excision, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research.<\/p><\/li><li><p>This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Contract Number HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.<\/p><br\/><br\/><\/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=\"#527573792ec8df3cc6874c02b2c19ac134851fc0\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#52757379eb7990602412426387cc67e8c9b7439f\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#5275737903172ab13a6d4bb1a7882016f0e4bf66\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#52757379da0e94b41b394bf3a8c6ded83e6b3fa8\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"527573792ec8df3cc6874c02b2c19ac134851fc0\" active=\"true\" name=\"Data Access\" ><h3 id=\"Imagingcharacterizationofametastaticpatientderivedmodelofbladdercancer:BL0293F(PDMRBL0293F563)-DataAccess\">Data Access<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 62.2948%;\"><colgroup><col style=\"width: 33.1666%;\"\/><col style=\"width: 31.658%;\"\/><col style=\"width: 35.044%;\"\/><\/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, 3.2 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\/52757379\/PDMR-BL0293-F563-manifest-08282019.tcia?version=1&amp;modificationDate=1567010278936&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=PDMR-BL0293-F563\" 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><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><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><span class=\"confluence-link\">\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=\"Imagingcharacterizationofametastaticpatientderivedmodelofbladdercancer:BL0293F(PDMRBL0293F563)-AdditionalResourcesforthisDataset\">Additional Resources for this Dataset<\/h3>\n<p>The National Cancer Institute (NCI) has developed a national repository of Patient-Derived Models (PDMs) comprised of patient-derived xenografts (PDXs), in vitro patient-derived tumor cell cultures (PDCs) and cancer associated fibroblasts (CAFs) as well as patient-derived organoids (PDOrg). These models serve as a resource for public-private partnerships and for academic drug discovery efforts. These PDMs are clinically-annotated with molecular information and made available in the <a href=\"https:\/\/pdmr.cancer.gov\/default.htm\" class=\"external-link\" rel=\"nofollow\">Patient-Derived Model Repository<\/a>.  Data related to the specific subjects in this Collection can be found at:<\/p>\n<\/p><ul><li><a href=\"https:\/\/pdmdb.cancer.gov\/pls\/apex\/f?p=101:4:14488639586634::NO:4:P4_SPECIMENSEQNBR:8\" class=\"external-link\" rel=\"nofollow\">PDMR-BL0293-F563<\/a><\/li><\/ul><p><span style=\"color: rgb(33,37,41);\">\n<h3 id=\"Imagingcharacterizationofametastaticpatientderivedmodelofbladdercancer:BL0293F(PDMRBL0293F563)-AdditionalResourcesforthisDataset.1\">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><\/span><\/p><p><span style=\"color: rgb(33,37,41);\">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.<\/span><\/p><ul style=\"text-align: left;\"><li class=\"auto-cursor-target\"><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=pdmr_bl0293_f563\" class=\"external-link\" rel=\"nofollow\">Imaging Data Commons (IDC)<\/a><span>\u00a0<\/span>(Imaging Data)<\/li><\/ul><\/div><div class=\"tabs-pane \" id=\"52757379eb7990602412426387cc67e8c9b7439f\" name=\"Detailed Description\" ><h3 id=\"Imagingcharacterizationofametastaticpatientderivedmodelofbladdercancer:BL0293F(PDMRBL0293F563)-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<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Patients<\/p><\/td><td class=\"confluenceTd\"><p>19<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Studies<\/p><\/td><td class=\"confluenceTd\"><p>66<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Series<\/p><\/td><td class=\"confluenceTd\"><p>131<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td class=\"confluenceTd\"><p>2222<\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Images Size (GB)<\/td><td colspan=\"1\" class=\"confluenceTd\">3.2<\/td><\/tr><\/tbody><\/table><\/div><p class=\"auto-cursor-target\">This <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/52757379\/SOP50101_MRI%20T2%20Weighted%20Non-Contrast%20Protocol_Single%20Mouse%20Pulmonary%20Gated%20and%20Multi-Mouse%20Non-Gated.pdf?version=1&amp;modificationDate=1568740464363&amp;api=v2\" data-linked-resource-id=\"61079921\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"SOP50101_MRI T2 Weighted Non-Contrast Protocol_Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated.pdf\" data-nice-type=\"PDF Document\" data-linked-resource-content-type=\"application\/pdf\" data-linked-resource-container-id=\"52757379\" data-linked-resource-container-version=\"25\">Standard Operating Procedure (SOP)<\/a> describes the procedures for animal handling and\u00a0monitoring, anesthesia, daily MRI QC\/QA, and MRI sequences for single and multi-mouse imaging for detection and monitoring of tumors and metastatic lesions. This SOP is used\/performed by the Small Animal Imaging Program (SAIP) at NCI-Frederick, Frederick National Laboratory for Cancer Research.<\/p><p class=\"auto-cursor-target\">In addition to images, this collection may include Raw Data Storage SOP Class instances with <strong>MR Modality<\/strong>, generated by a Philips MR scanner; this data is not useful to anyone without the proprietary software to interpret it.<\/p><\/div><div class=\"tabs-pane \" id=\"5275737903172ab13a6d4bb1a7882016f0e4bf66\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"Imagingcharacterizationofametastaticpatientderivedmodelofbladdercancer:BL0293F(PDMRBL0293F563)-Citations&amp;DataUsagePolicy\">Citations &amp; Data Usage Policy<\/h3><p><span>\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><\/span><\/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>Tatum, J. L., Kalen, J. D., Ileva, L. V., Riffle, L. A., Jacobs, P. M., Hollingshead, M. G., Doroshow, J. H, Clunie, D. A, Smith, K. E, Wagner, U., Freymann, J. B. (2019). <strong>Imaging characterization of a metastatic patient derived model of bladder cancer: BL0293F (PDMR-BL0293-F563) [Data set]<\/strong>. The Cancer Imaging Archive. <a href=\"https:\/\/doi.org\/10.7937\/tcia.2019.b6u7wmqw\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.7937\/tcia.2019.b6u7wmqw<\/a><\/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\"><p><span style=\"color: rgb(51,51,51);\">Tatum, J. L., Kalen, J. D., Jacobs, P. M., Ileva, L. V., Riffle, L. A., Hollingshead, M. G., &amp; Doroshow, J. H. (2019). <strong>A spontaneously metastatic model of bladder cancer: imaging characterization<\/strong>. In Journal of Translational Medicine (Vol. 17, Issue 1). Springer Science and Business Media LLC. <a href=\"https:\/\/doi.org\/10.1186\/s12967-019-02177-y\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1186\/s12967-019-02177-y<\/a><\/span><\/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., &amp; Prior, F. (2013). <strong>The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository<\/strong>. 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><\/p><\/div><\/div><h3 id=\"Imagingcharacterizationofametastaticpatientderivedmodelofbladdercancer:BL0293F(PDMRBL0293F563)-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 TCIA's Helpdesk<\/a>.<\/p><\/div><div class=\"tabs-pane \" id=\"52757379da0e94b41b394bf3a8c6ded83e6b3fa8\" name=\"Versions\" ><h3 id=\"Imagingcharacterizationofametastaticpatientderivedmodelofbladdercancer:BL0293F(PDMRBL0293F563)-Version1(Current):Updated2019\/08\/28\">Version 1 (Current): Updated 2019\/08\/28<\/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, 3.2 GB)<\/span><\/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\/52757379\/PDMR-BL0293-F563-manifest-08282019.tcia?version=1&amp;modificationDate=1567010278936&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=PDMR-BL0293-F563\" 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><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><\/tbody><\/table><\/div><p><span>\n<h3 id=\"Imagingcharacterizationofametastaticpatientderivedmodelofbladdercancer:BL0293F(PDMRBL0293F563)-AdditionalResourcesforthisDataset.2\">Additional Resources for this Dataset<\/h3>\n<p>The National Cancer Institute (NCI) has developed a national repository of Patient-Derived Models (PDMs) comprised of patient-derived xenografts (PDXs), in vitro patient-derived tumor cell cultures (PDCs) and cancer associated fibroblasts (CAFs) as well as patient-derived organoids (PDOrg). These models serve as a resource for public-private partnerships and for academic drug discovery efforts. These PDMs are clinically-annotated with molecular information and made available in the <a href=\"https:\/\/pdmr.cancer.gov\/default.htm\" class=\"external-link\" rel=\"nofollow\">Patient-Derived Model Repository<\/a>.  Data related to the specific subjects in this Collection can be found at:<\/p>\n<br\/><\/span><\/p><ul><li><a href=\"https:\/\/pdmdb.cancer.gov\/pls\/apex\/f?p=101:4:14488639586634::NO:4:P4_SPECIMENSEQNBR:8\" class=\"external-link\" rel=\"nofollow\">PDMR-BL0293-F563<\/a><\/li><\/ul><p><br\/><\/p><p><br\/><\/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 National Cancer Institute (NCI) has developed a national repository of Patient-Derived Models (PDMs) comprised of patient-derived xenografts (PDXs), in vitro patient-derived tumor cell cultures (PDCs) and cancer associated fibroblasts (CAFs) as well as patient-derived organoids (PDOrg). These models serve as a resource for public-private partnerships and for academic drug discovery efforts. These PDMs are clinically-annotated with molecular information and made available in the <a href=\"https:\/\/pdmr.cancer.gov\/default.htm\">Patient-Derived Model Repository<\/a>.  Data related to the specific subjects in this Collection can be found at:\n \n<ul><li><a href=\"https:\/\/pdmdb.cancer.gov\/pls\/apex\/f?p=101:4:14488639586634::NO:4:P4_SPECIMENSEQNBR:8\">PDMR-BL0293-F563<\/a><\/li><\/ul>","cancer_locations":["Bladder"],"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 TCIA's Helpdesk<\/a>.","species":["Mouse"],"collection_title":"Imaging characterization of a metastatic patient derived model of bladder cancer: BL0293F","detailed_description":"This <a data-linked-resource-container-id=\"52757379\" data-linked-resource-container-version=\"25\" data-linked-resource-content-type=\"application\/pdf\" data-linked-resource-default-alias=\"SOP50101_MRI T2 Weighted Non-Contrast Protocol_Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated.pdf\" data-linked-resource-id=\"61079921\" data-linked-resource-type=\"attachment\" data-linked-resource-version=\"1\" data-nice-type=\"PDF Document\" download=\"\" href=\"\/wp-content\/uploads\/SOP50101_MRI-T2-Weighted-Non-Contrast-Protocol_Single-Mouse-Pulmonary-Gated-and-Multi-Mouse-Non-Gated.pdf\" target=\"_blank\">Standard Operating Procedure (SOP)<\/a> describes the procedures for animal handling and\u00a0monitoring, anesthesia, daily MRI QC\/QA, and MRI sequences for single and multi-mouse imaging for detection and monitoring of tumors and metastatic lesions. This SOP is used\/performed by the Small Animal Imaging Program (SAIP) at NCI-Frederick, Frederick National Laboratory for Cancer Research.\nIn addition to images, this collection may include Raw Data Storage SOP Class instances with <strong>MR Modality<\/strong>, generated by a Philips MR scanner; this data is not useful to anyone without the proprietary software to interpret it.","related_analysis_results":false,"subjects":"19","collection_short_title":"PDMR-BL0293-F563","data_types":["MR"],"date_updated":"2023-09-13","collection_browse_title":"","supporting_data":["Clinical"],"collection_featured_image":false,"collection_summary":"<br\/>\nPre-clinical animal models of spontaneous metastatic cancer are infrequent; the few that exist\u00a0are resource intensive because determination of the presence of metastatic disease,\u00a0metastatic burden, and response to therapy normally require animal sacrifice and extensive\u00a0pathological examination. We recently identified and characterized a patient derived xenograft\u00a0model with metastatic potential, bladder xenograft BL0293-F563, developed by Jackson\u00a0Laboratories and the University of California at Davis. In this study we performed a detailed\u00a0imaging characterization of this model, which develops spontaneous liver and bone\u00a0metastases. Using non-contrast T2 weighted MRI, hepatic metastases were demonstrated in\u00a0over 70% of animals at 52 days post tumor implantation without resection of the xenograft and\u00a0in 100% of animals at day 52 following resection of the xenograft. T2w turbo spin echo (T2wTSE) sequence was applied in the coronal view with a repetition time (TR) 5333ms, echo time\u00a0(TE) 65ms, with an in-plane pixel of 0.180 \u00d7 0.180 mm2. A Spectral Presaturation with\u00a0Inversion Recovery (SPIR) sequence (Philips Healthcare, Best, The Netherlands) was used to\u00a0suppress the fat component and assist in distinguishing fat from cystic mass and tumor\u00a0tissue. In a group of animals receiving one cycle of effective chemotherapy ([Temozolomide;\u00a0(50 mg\/kg; PO, QDx5)] plus [(veliparib, a poly (ADP-ribose) polymerase inhibitor) (7.75 mg\/kg;\u00a0PO; BIDx7)]), no animals demonstrated metastasis by imaging. The imaging characteristics of\u00a0this model, which is available from the National Cancer Institute Patient-Derived Models\u00a0Repository (<a href=\"https:\/\/pdmr.cancer.gov\/\">https:\/\/pdmr.cancer.gov\/<\/a>), is highly favorable for preclinical research studies of\u00a0metastatic disease when used in conjunction with non-contrast T2 weighted MRI.\n<br\/>\nAcknowledgements\n<ul><li><p>We would like to thank Nimit Patel of the Small Animal Imaging Program for analyzing ultrasound and assisting with the experiment; Simone Difilippantonio for coordinating her staff and Amy James of the Animal Research Technical Support Program for preparing the drug and administration, measuring body weights, and tumor excision, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research.<\/p><\/li><li><p>This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Contract Number HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.<\/p><br\/><br\/><\/li><\/ul>","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":[],"_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5615"}],"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=5615"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5615"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}