{"id":5666,"date":"2023-09-04T03:16:27","date_gmt":"2023-09-04T03:16:27","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/qin-prostate-repeatability\/"},"modified":"2023-09-13T12:02:13","modified_gmt":"2023-09-13T12:02:13","slug":"qin-prostate-repeatability","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/qin-prostate-repeatability\/","title":{"rendered":"QIN-PROSTATE-REPEATABILITY"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Prostate Cancer"],"citations":[4598,4599,4600,2925,4601],"collection_doi":"10.7937\/K9\/TCIA.2018.MR1CKGND","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5211],"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=\"QINPROSTATERepeatability-Summary\">Summary<\/h2><p><p style=\"text-align: justify;\"><span style=\"color: rgb(34,34,34);\">This is a dataset with multiparametric prostate MRI applied in a test-retest setting, allowing to evaluate repeatability of the MRI-based measurements in the prostate. There is very limited data about the repeatability in mpMRI of the prostate, while such information is critical for establishing technical characteristics of mpMRI as imaging biomarker of prostate cancer. <\/span><\/p><p style=\"text-align: justify;\"><span style=\"color: rgb(34,34,34);\">Data was provided by the Brigham and Women's Hospital team. Data collection was supported by <strong>U01 CA151261 (PI Fiona Fennessy)<\/strong>. Preparation of data for public sharing was supported by <strong>U24 CA180918 (<\/strong><\/span><strong><a href=\"http:\/\/qiicr.org\" class=\"external-link\" rel=\"nofollow\"><span style=\"color: rgb(17,85,204);\">http:\/\/qiicr.org<\/span><\/a><\/strong><span style=\"color: rgb(34,34,34);\"><strong>) (MPI Andrey Fedorov and Ron Kikinis)<\/strong>.<\/span><\/p><\/p><p style=\"text-align: left;\"><span style=\"color: rgb(34,34,34);\">Type of cancer: Confirmed or suspected prostate cancer<\/span><\/p><p style=\"text-align: left;\"><span style=\"color: rgb(34,34,34);\">Acquisition Protocol: Standard prostate mpMRI protocol implemented at Brigham and Women's Hospital was used in this study. For a given patient, we aimed to maintain similar protocol settings, and used the same scanner hardware and software configurations for both the baseline and repeat examinations, which were acquired within 2 weeks of time. All of the imaging studies were acquired at 3 Tesla magnet strength.\u00a0 Due to the scanner hardware upgrade in the middle of the study, 6 of the patients had baseline and repeat study performed on a GE Signa HDxt platform, software release 15.0_M4A_097.a, while the remaining 7 patients were scanned on a GE Discovery MR750w, software release DV24.0_R01_1344 (General Electric Healthcare, Milwaukee, WI). Transrectal coil within an air-filled balloon (Medrad Inc., Warrendale, PA) was used in all imaging studies. mpMRI protocol included T2-weighted, Diffusion Weighted (DW) (b-values of 0 and 1400 mm\/s2) and Dynamic Contrast Enhanced (DCE) sequences. Detailed acquisition parameters are listed in Table 1 of [1]. DWI Apparent Diffusion Coefficient (ADC) and DCE subtract maps (further referred to as SUB; computed as the difference between the phase corresponding to the contrast bolus arrival and the baseline phase) were generated using the scanner software. <\/span><\/p><p style=\"text-align: left;\"><span style=\"color: rgb(34,34,34);\">The imaging data is accompanied by the following types of derived data:<\/span><\/p><ul style=\"text-align: left;\"><li style=\"text-align: justify;\"><span style=\"color: rgb(34,34,34);\">manual segmentations of the total prostate gland, peripheral zone of the prostate gland, suspected tumor and normal regions (where applicable). Segmentations were done by a radiologist with the expertise in prostate MRI<\/span><\/li><li style=\"text-align: justify;\">volume measurements (for axial T2w images and ADC images) and mean ADC (for ADC images) corresponding to the segmented regions.<\/li><\/ul><p style=\"text-align: left;\"><span style=\"color: rgb(34,34,34);\">Both segmentations and segmentation-based measurements are stored as DICOM objects (DICOM Segmentation images and DICOM Structured Reports that follow DICOM SR TID 1500). For the details about data representation and tools available to convert and visualize the data see [2].<\/span><\/p><p style=\"text-align: left;\"><span style=\"color: rgb(33,33,33);\">In the future we plan to augment this dataset with the parametric\u00a0<\/span><span style=\"color: rgb(33,33,33);\">maps obtained using that analysis (in DICOM), and potentially (pending\u00a0<\/span><span style=\"color: rgb(33,33,33);\">IRB clearance) clinical data (demographics, PSA), pathology sampling\u00a0<\/span><span style=\"color: rgb(33,33,33);\">data (biopsy Gleason score) and results of PI-RADS interpretation.<\/span><\/p><p style=\"text-align: left;\"><strong><span style=\"color: rgb(34,34,34);\">References:<\/span><\/strong><\/p><p style=\"text-align: left;\"><span style=\"color: rgb(34,34,34);\"><span style=\"color: rgb(33,33,33);\">[1] Fedorov A, Vangel MG, Tempany CM, Fennessy FM. <strong>Multiparametric<\/strong><\/span><strong><span style=\"color: rgb(33,33,33);\">\u00a0Magnetic Resonance Imaging of the Prostate: Repeatability of Volume<\/span><\/strong><span style=\"color: rgb(33,33,33);\"><strong>\u00a0and Apparent Diffusion Coefficient Quantification<\/strong>. Investigative<\/span><span style=\"color: rgb(33,33,33);\">\u00a0Radiology. 52, 538\u2013546 (2017). DOI:\u00a0<\/span><span style=\"color: rgb(33,33,33);\">\u00a0<\/span><a href=\"http:\/\/dx.doi.org\/10.1097\/RLI.0000000000000382\" class=\"external-link\" rel=\"nofollow\">10.1097\/RLI.0000000000000382<\/a><\/span><\/p><p style=\"text-align: left;\"><span style=\"color: rgb(34,34,34);\"><span style=\"color: rgb(33,33,33);\">[2] Fedorov, A., Schwier, M., Clunie, D., Herz, C., Pieper, S.,<\/span><span style=\"color: rgb(33,33,33);\">\u00a0Kikinis,R., Tempany, C. &amp; Fennessy, F. <strong>An annotated test-retest<\/strong><\/span><span style=\"color: rgb(33,33,33);\"><strong>\u00a0collection of prostate multiparametric MRI<\/strong>. Scientific Data 5, 180281<\/span><span style=\"color: rgb(33,33,33);\">\u00a0(2018). DOI:\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1038\/sdata.2018.281\" class=\"external-link\" rel=\"nofollow\">10.1038\/sdata.2018.281<\/a><br\/><\/span><\/p><h3 id=\"QINPROSTATERepeatability-AbouttheNCIQIN\">About the NCI QIN<\/h3><p>The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/Quantitative+Imaging+Network+Collections\" rel=\"nofollow\">Quantitative Imaging Network Collections<\/a> page. Interested investigators can apply to the QIN at: <a href=\"http:\/\/imaging.cancer.gov\/programsandresources\/SpecializedInitiatives\/qin\" class=\"external-link\" rel=\"nofollow\">Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150<\/a>.<\/p><p><br\/><\/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=\"#33948380e889acc6008d455faa1d5f5822717a22\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#33948380d64d82cafd164772a6172688c278f505\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#33948380a70ae860d6d3416a8ac6cc6b0403e00b\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#33948380b3a0f050f3704910bc75575345da5eec\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"33948380e889acc6008d455faa1d5f5822717a22\" active=\"true\" name=\"Data Access\" ><h3 id=\"QINPROSTATERepeatability-DataAccess\">Data Access<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 72.3398%;\"><colgroup><col style=\"width: 32.5416%;\"\/><col style=\"width: 33.6149%;\"\/><col style=\"width: 33.8346%;\"\/><\/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\"><span style=\"color: rgb(38,44,49);\">Images and Segmentations<\/span>\u00a0(DICOM, 14.86 GB)<\/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\/33948380\/QIN-PROSTATE-Repeatability_v2_20180510.tcia?version=1&amp;modificationDate=1557521507335&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=QIN-PROSTATE-Repeatability\" 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\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:\/\/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><p>\n<h3 id=\"QINPROSTATERepeatability-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=qin_prostate_repeatability\" class=\"external-link\" rel=\"nofollow\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li><\/ul><\/div><div class=\"tabs-pane \" id=\"33948380d64d82cafd164772a6172688c278f505\" name=\"Detailed Description\" ><h3 id=\"QINPROSTATERepeatability-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\"><p>Collection Statistics<\/p><\/div><\/th><th class=\"confluenceTh\"><div class=\"tablesorter-header-inner\"><p><br\/><\/p><\/div><\/th><\/tr><tr><td class=\"confluenceTd\"><p>Modalities<\/p><\/td><td class=\"confluenceTd\"><p>MR, SEG, SR<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Participants<\/p><\/td><td class=\"confluenceTd\">15<\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Studies<\/p><\/td><td class=\"confluenceTd\"><p>30<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Series<\/p><\/td><td class=\"confluenceTd\"><p>270<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td class=\"confluenceTd\"><p>38,500<\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Image Size (GB)<\/td><td colspan=\"1\" class=\"confluenceTd\">14.86<\/td><\/tr><\/tbody><\/table><\/div><p class=\"auto-cursor-target\"><strong>Note<\/strong>: in the article at doi:\u00a0\u00a0<a style=\"text-decoration: underline;\" href=\"https:\/\/doi.org\/10.1097\/RLI.0000000000000382\" class=\"external-link\" rel=\"nofollow\">10.1097\/RLI.0000000000000382<\/a> , \u201cSubject<span style=\"color: rgb(255,0,0);\"> 1<\/span>\u201d is associated with \u201cPCAMPMRI-<span style=\"color: rgb(255,0,0);\">00001<\/span>\u201d in TCIA.<\/p><\/div><div class=\"tabs-pane \" id=\"33948380a70ae860d6d3416a8ac6cc6b0403e00b\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"QINPROSTATERepeatability-Citations&amp;DataUsagePolicy\">Citations &amp; Data Usage Policy\u00a0<\/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\">Acknowledgement - Grant support<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p>Please acknowledge the award that supported collection and sharing of these data sets: U01 CA151261, PI Fiona Fennessy.<\/p><\/div><\/div><p><br\/><\/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>Fedorov, A; Schwier, M; Clunie, D; Herz, C; Pieper, S; Kikinis, R; Tempany, C; Fennessy, F. (2018). Data From QIN-PROSTATE-Repeatability. The Cancer Imaging Archive. DOI:\u00a0<a href=\"http:\/\/doi.org\/10.7937\/K9\/TCIA.2018.MR1CKGND\" class=\"external-link\" rel=\"nofollow\">10.7937\/K9\/TCIA.2018.MR1CKGND<\/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><span style=\"color: rgb(34,34,34);\">Fedorov A, Vangel MG, Tempany CM, Fennessy FM. Multiparametric Magnetic Resonance Imaging of the Prostate: Repeatability of Volume and Apparent Diffusion Coefficient Quantification. Investigative Radiology. 52, 538\u2013546 (2017).\u00a0<\/span><\/span>DOI:\u00a0<a href=\"https:\/\/doi.org\/10.1097\/RLI.0000000000000382\" style=\"text-decoration: underline;\" class=\"external-link\" rel=\"nofollow\">10.1097\/RLI.0000000000000382<\/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(33,33,33);\">Fedorov, A., Schwier, M., Clunie, D., Herz, C., Pieper, S., Kikinis,<\/span><span style=\"color: rgb(33,33,33);\">R., Tempany, C. &amp; Fennessy, F. An annotated test-retest collection of <\/span><span style=\"color: rgb(33,33,33);\">prostate multiparametric MRI. Scientific Data 5, 180281 (2018). DOI:\u00a0<\/span><br\/><a href=\"https:\/\/doi.org\/10.1038\/sdata.2018.281\" class=\"external-link\" rel=\"nofollow\">10.1038\/sdata.2018.281<\/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. <span>DOI: <\/span><a href=\"https:\/\/dx.doi.org\/10.1007%2Fs10278-013-9622-7\" class=\"external-link\" rel=\"nofollow\">10.1007\/s10278-013-9622-7<\/a><\/p><\/div><\/div><h3 id=\"QINPROSTATERepeatability-\">\u00a0<\/h3><h3 style=\"text-align: left;\" id=\"QINPROSTATERepeatability-AdditionalPublicationResources:\">Additional Publication Resources:<\/h3><p style=\"text-align: left;\">The Collection authors suggest the below will give context to this dataset:<\/p><ul><li><p style=\"text-align: justify;\"><span style=\"color: rgb(0,0,0);\">Schwier M, van Griethuysen J, Vangel MG, Pieper S, Peled S, Tempany CM, Aerts HJ, Kikinis R, Fennessy FM, Fedorov A. Repeatability of Multiparametric Prostate MRI Radiomics Features. arXiv [cs.CV] (2018). at <\/span><span style=\"color: rgb(17,85,204);\"><a href=\"http:\/\/arxiv.org\/abs\/1807.06089\" class=\"external-link\" rel=\"nofollow\">http:\/\/arxiv.org\/abs\/1807.06089<\/a>. <\/span><\/p><\/li><li><p style=\"text-align: justify;\"><span style=\"color: rgb(0,0,0);\"><span style=\"color: rgb(33,33,33);\">Peled, S., Vangel, M., Kikinis, R., Tempany, C. M., Fennessy, F. M. &amp; <\/span><span style=\"color: rgb(33,33,33);\">Fedorov, A. Selection of Fitting Model and Arterial Input Function for <\/span><span style=\"color: rgb(33,33,33);\">Repeatability in Dynamic Contrast-Enhanced Prostate MRI. Acad. Radiol.<\/span><br\/><span style=\"color: rgb(33,33,33);\">(2018). DOI:\u00a0<\/span><a href=\"https:\/\/doi.org\/10.1016\/j.acra.2018.10.018\" class=\"external-link\" rel=\"nofollow\">10.1016\/j.acra.2018.10.018<\/a><br\/><\/span><\/p><\/li><li>Schwier, M., van Griethuysen, J., Vangel, M. G., Pieper, S., Peled, S., Tempany, C., Aerts, H. J. W. L., Kikinis, R., Fennessy, F. M. &amp; Fedorov, A. Repeatability of Multiparametric Prostate MRI Radiomics Features. Sci. Rep. 9, 9441 (2019). <span class=\"identifier doi\"><span class=\"id-label\">DOI: <\/span> <a class=\"external-link\" href=\"https:\/\/doi.org\/10.1038\/s41598-019-45766-z\" rel=\"nofollow\"> 10.1038\/s41598-019-45766-z <\/a> <\/span><\/li><\/ul><h3 id=\"QINPROSTATERepeatability-OtherPublicationsUsingThisData\">Other Publications Using This Data<\/h3><p>TCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\" class=\"external-link\" rel=\"nofollow\">a list of publications<\/a> which leverage our data.\u00a0 If you have a publication you'd like to add please\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\" class=\"external-link\" rel=\"nofollow\">contact TCIA's Helpdesk<\/a>.<\/p><\/div><div class=\"tabs-pane \" id=\"33948380b3a0f050f3704910bc75575345da5eec\" name=\"Versions\" ><h3 id=\"QINPROSTATERepeatability-Version3(Current):Update2020\/11\/9\">Version 3 (Current): Update 2020\/11\/9<\/h3><p>Lifted embargo; data are now visible without login. Usage should still abide by\u00a0TCIA's <a href=\"https:\/\/wiki.cancerimagingarchive.net\/pages\/viewpage.action?pageId=4556915\">Data Usage Policies and Restrictions<\/a>.\u00a0<\/p><h3 id=\"QINPROSTATERepeatability-Version2:Updated2019\/05\/09\">Version 2: Updated 2019\/05\/09<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 59.9587%;\"><colgroup><col style=\"width: 47.4539%;\"\/><col style=\"width: 52.5396%;\"\/><\/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 colspan=\"1\" class=\"confluenceTd\">Images (DICOM, 14.86 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\/33948380\/QIN-PROSTATE-Repeatability_v2_20180510.tcia?version=1&amp;modificationDate=1557521507335&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:\/\/public.cancerimagingarchive.net\/ncia\/externalLinks.jsf?collectionName=QIN-PROSTATE-Repeatability\" 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><span class=\"confluence-link\">(Download requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>\u00a0App)<\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p>Added DCE and DWI series<\/p><h3 id=\"QINPROSTATERepeatability-Version1:Updated2018\/02\/28\">Version 1: Updated 2018\/02\/28<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 59.8809%;\"><colgroup><col style=\"width: 46.2321%;\"\/><col style=\"width: 53.7636%;\"\/><\/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 colspan=\"1\" class=\"confluenceTd\">Images (DICOM, 1.1 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\/33948380\/QIN-PROSTATE-Repeatability_v1.tcia?version=1&amp;modificationDate=1557521625342&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><br\/><\/p><p><span class=\"confluence-link\">(Download requires\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>\u00a0App)<\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/div><\/div><\/div>\n<\/div>\n<div class=\"cell aside\" data-type=\"aside\">\n<div class=\"innerCell\">\n<p><span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\"><img class=\"confluence-embedded-image confluence-thumbnail\" draggable=\"false\" alt=\"QIN-Prostate-Repeatability 3D-Slicer image\" height=\"150\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/QIN-PROSTATE-Repeatability\/QIN-Prostate-Repeatability_2018-10-29_22-52-24.png?api=v2\"><\/span>\u00a0<\/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=qin_prostate_repeatability\">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 <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\">a list of publications<\/a> which leverage our data.\u00a0 If you have a publication you'd like to add please\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">contact TCIA's Helpdesk<\/a>.","species":["Human"],"collection_title":"QIN-PROSTATE-Repeatability","detailed_description":"<strong>Note<\/strong>: in the article at doi:\u00a0\u00a0<a href=\"https:\/\/doi.org\/10.1097\/RLI.0000000000000382\">10.1097\/RLI.0000000000000382<\/a> , \u201cSubject 1\u201d is associated with \u201cPCAMPMRI-00001\u201d in TCIA.","related_analysis_results":false,"subjects":"15","collection_short_title":"QIN-PROSTATE-Repeatability","data_types":["MR","SEG","SR"],"date_updated":"2023-09-13","collection_browse_title":"","supporting_data":["Image Analyses"],"collection_featured_image":false,"collection_summary":"This is a dataset with multiparametric prostate MRI applied in a test-retest setting, allowing to evaluate repeatability of the MRI-based measurements in the prostate. There is very limited data about the repeatability in mpMRI of the prostate, while such information is critical for establishing technical characteristics of mpMRI as imaging biomarker of prostate cancer. <p>Data was provided by the Brigham and Women's Hospital team. Data collection was supported by <strong>U01 CA151261 (PI Fiona Fennessy)<\/strong>. Preparation of data for public sharing was supported by <strong>U24 CA180918 (<\/strong><strong><a href=\"http:\/\/qiicr.org\">http:\/\/qiicr.org<\/a><\/strong><strong>) (MPI Andrey Fedorov and Ron Kikinis)<\/strong>.<\/p>\nType of cancer: Confirmed or suspected prostate cancer\nAcquisition Protocol: Standard prostate mpMRI protocol implemented at Brigham and Women's Hospital was used in this study. For a given patient, we aimed to maintain similar protocol settings, and used the same scanner hardware and software configurations for both the baseline and repeat examinations, which were acquired within 2 weeks of time. All of the imaging studies were acquired at 3 Tesla magnet strength.\u00a0 Due to the scanner hardware upgrade in the middle of the study, 6 of the patients had baseline and repeat study performed on a GE Signa HDxt platform, software release 15.0_M4A_097.a, while the remaining 7 patients were scanned on a GE Discovery MR750w, software release DV24.0_R01_1344 (General Electric Healthcare, Milwaukee, WI). Transrectal coil within an air-filled balloon (Medrad Inc., Warrendale, PA) was used in all imaging studies. mpMRI protocol included T2-weighted, Diffusion Weighted (DW) (b-values of 0 and 1400 mm\/s2) and Dynamic Contrast Enhanced (DCE) sequences. Detailed acquisition parameters are listed in Table 1 of [1]. DWI Apparent Diffusion Coefficient (ADC) and DCE subtract maps (further referred to as SUB; computed as the difference between the phase corresponding to the contrast bolus arrival and the baseline phase) were generated using the scanner software. \nThe imaging data is accompanied by the following types of derived data:\n<ul><li>manual segmentations of the total prostate gland, peripheral zone of the prostate gland, suspected tumor and normal regions (where applicable). Segmentations were done by a radiologist with the expertise in prostate MRI<\/li><li>volume measurements (for axial T2w images and ADC images) and mean ADC (for ADC images) corresponding to the segmented regions.<\/li><\/ul>\nBoth segmentations and segmentation-based measurements are stored as DICOM objects (DICOM Segmentation images and DICOM Structured Reports that follow DICOM SR TID 1500). For the details about data representation and tools available to convert and visualize the data see [2].\nIn the future we plan to augment this dataset with the parametric\u00a0maps obtained using that analysis (in DICOM), and potentially (pending\u00a0IRB clearance) clinical data (demographics, PSA), pathology sampling\u00a0data (biopsy Gleason score) and results of PI-RADS interpretation.\n<strong>References:<\/strong>\n[1] Fedorov A, Vangel MG, Tempany CM, Fennessy FM. <strong>Multiparametric<\/strong><strong>\u00a0Magnetic Resonance Imaging of the Prostate: Repeatability of Volume<\/strong><strong>\u00a0and Apparent Diffusion Coefficient Quantification<\/strong>. Investigative\u00a0Radiology. 52, 538\u2013546 (2017). DOI:\u00a0\u00a0<a href=\"http:\/\/dx.doi.org\/10.1097\/RLI.0000000000000382\">10.1097\/RLI.0000000000000382<\/a>\n[2] Fedorov, A., Schwier, M., Clunie, D., Herz, C., Pieper, S.,\u00a0Kikinis,R., Tempany, C. &amp; Fennessy, F. <strong>An annotated test-retest<\/strong><strong>\u00a0collection of prostate multiparametric MRI<\/strong>. Scientific Data 5, 180281\u00a0(2018). DOI:\u00a0<a href=\"https:\/\/doi.org\/10.1038\/sdata.2018.281\">10.1038\/sdata.2018.281<\/a><br\/>\n<h3>About the NCI QIN<\/h3>\nThe mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/Quantitative+Imaging+Network+Collections\">Quantitative Imaging Network Collections<\/a> page. Interested investigators can apply to the QIN at: <a href=\"http:\/\/imaging.cancer.gov\/programsandresources\/SpecializedInitiatives\/qin\">Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150<\/a>.\n<br\/>","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":[],"_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5666"}],"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=5666"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5666"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}