{"id":5653,"date":"2023-09-04T03:15:36","date_gmt":"2023-09-04T03:15:36","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/prostate-mri-us-biopsy\/"},"modified":"2023-09-13T12:01:41","modified_gmt":"2023-09-13T12:01:41","slug":"prostate-mri-us-biopsy","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/prostate-mri-us-biopsy\/","title":{"rendered":"PROSTATE-MRI-US-BIOPSY"},"featured_media":8108,"template":"","citation-tax":[],"cancer_types":["Prostate Cancer"],"citations":[4579,4580,2925],"collection_doi":"10.7937\/TCIA.2020.A61IOC1A","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5189,5190,5191,5192,5193],"full_export":"<h2 id=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-Summary\">Summary<\/h2><p><span class=\"confluence-embedded-file-wrapper image-right-wrapper confluence-embedded-manual-size\"><img class=\"confluence-embedded-image image-right\" draggable=\"false\" alt=\"These two images show biopsy data displayed in 3D alongside MRI contours. The image on the left captures the entire 3D slicer screen.  The image on the right succinctly exemplifies most aspects of the dataset. \" height=\"250\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/Prostate%20MRI%20and%20Ultrasound%20With%20Pathology%20and%20Coordinates%20of%20Tracked%20Biopsy%20(Prostate-MRI-US-Biopsy)\/Prostate-MRI-US-Biopsy-Exemplary%20Image%20(Simple).png?api=v2\"><\/span> <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\/Prostate%20MRI%20and%20Ultrasound%20With%20Pathology%20and%20Coordinates%20of%20Tracked%20Biopsy%20(Prostate-MRI-US-Biopsy)\/Prostate-MRI-US-Biopsy-Exemplary%20Image%20(Complex).png?api=v2\"><\/span><\/p><p style=\"text-align: left;\">This dataset was derived from tracked biopsy sessions using the Artemis biopsy system, many of which included image fusion with MRI targets. Patients received a 3D transrectal ultrasound scan, after which nonrigid registration (e.g. \u201cfusion\u201d) was performed between real-time ultrasound and preoperative MRI, enabling biopsy cores to be sampled from MR regions of interest.\u00a0Most cases also included sampling of systematic biopsy cores using a 12-core digital template.\u00a0The Artemis system tracked targeted and systematic core locations using encoder kinematics of a mechanical arm, and recorded locations relative to the Ultrasound scan. MRI biopsy coordinates were also recorded for most cases.\u00a0<span style=\"color: rgb(0,0,0);\">STL files and biopsy overlays are available and can be visualized in<span>\u00a0<\/span><a style=\"text-decoration: none;text-align: left;\" rel=\"nofollow\" href=\"https:\/\/www.slicer.org\/\" class=\"external-link\">3D Slicer<\/a>\u00a0with the<span>\u00a0<\/span><a href=\"https:\/\/github.com\/SlicerHeart\/SlicerHeart\" title=\"https:\/\/github.com\/SlicerHeart\/SlicerHeart\" style=\"text-align: left;\" class=\"external-link\" rel=\"nofollow\">SlicerHeart extension<\/a>.\u00a0 Spreadsheets summarizing biopsy and MR target data are also available.\u00a0<\/span><span style=\"color: rgb(0,0,0);\">See the Detailed Description tab below for more information.<\/span><\/p><p><span style=\"color: rgb(32,31,30);\">MRI targets were defined using multiparametric MRI, e.g. t2-weighted, diffusion-weighted, and perfusion-weighted sequences, and scored on a Likert-like scale with close correspondence to PIRADS version 2. t2-weighted MRI w<span>as used to trace ROI contours,<\/span>\u00a0and is the only sequence provided in this dataset. MR imaging was performed on a 3 Tesla Trio, Verio or Skyra scanner (Siemens, Erlangen, Germany). A transabdominal phased array was used in all cases, and an endorectal coil was used in a subset of cases. The majority of pulse sequences are 3D T2:SPC, with TR\/TE 2200\/203, Matrix\/FOV 256 \u00d7 205\/14 \u00d7 14 cm, and 1.5mm slice spacing. Some cases were instead 3D T2:TSE with TR\/TE 3800\u20135040\/101, and a small minority were imported from other institutions (various T2 protocols.)<\/span><\/p><p>Ultrasound scans were performed with Hitachi Hi-Vision 5500 7.5 MHz or the Noblus C41V 2-10 MHz end-fire probe. 3D scans were acquired by rotation of the end-fire probe 200 degrees about its axis, and interpolating to resample the volume with isotropic resolution.<\/p><p>Patients with suspicion of prostate cancer due to elevated PSA and\/or suspicious imaging findings were consecutively accrued. Any consented patient who underwent or had planned to receive a routine, standard-of-care prostate biopsy at the UCLA Clark Urology Center was included.\u00a0 \u00a0<\/p><p><strong>Note<\/strong>: Some Private Tags in this collection are critical to properly displaying the STL surface and the Prostate anatomy.\u00a0 Private Tag\u00a0<span style=\"color: rgb(80,0,80);\">(1129,&quot;Eigen Artemis&quot;,1016) DS VoxelSize is especially important for multi-frame US cases.<\/span> \u00a0 \u00a0<\/p><h3 id=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-Acknowledgements\">Acknowledgements<\/h3><p>We would like to acknowledge the individuals and institutions that have provided data for this collection:<\/p><ul><li><span style=\"color: rgb(34,34,34);\"> <span style=\"color: rgb(23,43,77);\">This work was supported in part by the National Cancer Institute Award R01CA158627, Prostate\u00a0<\/span> <span style=\"color: rgb(23,43,77);\">Cancer SPORE at University of California-Los Angeles P50CA092131, the Beckman Coulter\u00a0<\/span> <span style=\"color: rgb(23,43,77);\">Foundation, Jean Perkins Foundation, and Steven C. Gordon Family Foundation<\/span> <\/span><\/li><li><span style=\"color: rgb(0,0,0);\">Harmonization of the components of this dataset, including into standard DICOM representation, was supported in part by the NCI Imaging Data Commons consortium. NCI Imaging Data Commons consortium is supported by the contract number 19X037Q from Leidos Biomedical Research under Task Order HHSN26100071 from NCI<\/span><\/li><\/ul><p style=\"margin-left: 30.0px;\"><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=\"#68550661a4242a89e0534460802fc36144803a42\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#68550661094dd8674b1e44c8b3e213c36147971f\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#68550661a1b23cf1c8a14ab9b9a8f74c0ffb9a4f\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#685506615e8b66953f184222aea6afe7d0c89fe2\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"68550661a4242a89e0534460802fc36144803a42\" active=\"true\" name=\"Data Access\" ><h3 id=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-DataAccess\">Data Access<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 53.056%;\"><colgroup><col style=\"width: 29.4237%;\"\/><col style=\"width: 33.527%;\"\/><col style=\"width: 37.0193%;\"\/><\/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(33,37,41);\">Images (DICOM)<\/span>\u00a0<span style=\"color: rgb(51,51,51);\">77.6 (<\/span>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\/68550661\/Prostate-MRI-US-Biopsy-NBIA-manifest_20200910.tcia?version=1&amp;modificationDate=1599764668817&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=Prostate-MRI-US-Biopsy\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=Prostate-MRI-US-Biopsy\" class=\"external-link\" rel=\"nofollow\"><br class=\"auto-cursor-target\"\/><\/a><\/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><tr><td class=\"confluenceTd\"><p>Target Data (<span style=\"color: rgb(33,37,41);\">XLSX<\/span>)\u00a0131 (KB)<\/p><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/68550661\/Target%20Data_2019-12-05.xlsx?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>(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><tr><td class=\"confluenceTd\">Biopsy Data (<span style=\"color: rgb(33,37,41);\">XLSX<\/span>) 4.25 (MB)<\/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\/68550661\/TCIA%20Biopsy%20Data_2020-07-14.xlsx?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>(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><tr><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>STL Files (ZIP) 274 (MB)<\/p><\/div><\/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\/91?passcode=720f9216ca74fc6860271caeff37005222eaa818\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/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>\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\">Biopsy Overlays (ZIP) 333 (MB)<\/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\/90?passcode=2871e9cc1175bc274ae9d8122dc0df73c44878ed\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/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>\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=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-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_us_biopsy\" class=\"external-link\" rel=\"nofollow\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li><\/ul><\/div><div class=\"tabs-pane \" id=\"68550661094dd8674b1e44c8b3e213c36147971f\" name=\"Detailed Description\" ><h3 id=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-DetailedDescription\">Detailed Description<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup> <col\/> <col\/> <\/colgroup><tbody><tr><th class=\"confluenceTh\"><p>Image Statistics<\/p><\/th><th class=\"confluenceTh\"><br\/><\/th><\/tr><tr><td class=\"confluenceTd\"><p>Modalities<\/p><\/td><td class=\"confluenceTd\"><p><span style=\"color: rgb(51,51,51);\">MR, US<\/span><\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Participants<\/p><\/td><td class=\"confluenceTd\"><p><span style=\"color: rgb(51,51,51);\">1151<\/span><\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Studies<\/p><\/td><td class=\"confluenceTd\"><p><span style=\"color: rgb(51,51,51);\">2779<\/span><\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Series<\/p><\/td><td class=\"confluenceTd\"><p><span style=\"color: rgb(51,51,51);\">2779<\/span><\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td class=\"confluenceTd\"><p><span style=\"color: rgb(51,51,51);\">61,119<\/span><\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Images Size (GB)<\/td><td colspan=\"1\" class=\"confluenceTd\"><span style=\"color: rgb(51,51,51);\">77.6\u00a0<\/span><\/td><\/tr><\/tbody><\/table><\/div><h3 id=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-InstructionsforProperUseoftheSTLFiles\">Instructions for Proper Use of the STL Files<\/h3><p>The 3D surfaces of this dataset are in stereolithography format (binary representation). They are segmentations representing anatomic regions within the corresponding ultrasound (US) or MRI images. Each file is named &quot;Prostate-MRI-US-Biopsy-XXXX-SURFACETYPE-seriesUID-YYYY.STL&quot; where &quot;XXXX&quot; is the anonymized patient number and &quot;YYYY&quot; is the series instance UID of corresponding DICOM images. &quot;SURFACETYPE&quot; can be one of two identifiers, summarized below.<\/p><ul><li>If &quot;SURFACETYPE&quot; is &quot;ProstateSurface,&quot; then the STL file is a segmentation of the prostate gland. These were contoured semi-automatically with Profuse (for MRI) or the Artemis fusion biopsy system (for US), both products of Eigen (Grass Valley, CA). Using these tools, the user manually traced the prostate on one or more image planes, and the remainder of gland was automatically segmented in 3D. The user was then able to adjust vertices of the 3D segmentation as necessary. These segmentations are generally of good quality, though their accuracy is user-dependent.\u00a0<\/li><li>If &quot;SURFACETYPE&quot; is &quot;Target,&quot; then the STL file is a segmentation of a Region of Interest (ROI) suspicious for harboring prostate cancer. Zero, one, or more than one ROI may be present, and thus are designated &quot;Target1,&quot; &quot;Target2,&quot; etc. The ROIs corresponding to MRI were traced manually by a radiologist based on their interpretation of the patient's multiparametric MRI study. The ROIs corresponding to US images were acquired by registering the MRI prostate surface nonrigidly and semi-automatically to the US prostate surface. Therefore, the US ROIs are subject to misregistration, with average accuracy of 3-4 mm.<\/li><li>Note that proximity to an ROI increases the likelihood of, but does not guarantee, prostate cancer. Also note that radiologists assigned each ROI a Likert-like suspicion score of 1-5, with 1 corresponding to very low suspicion of prostate cancer and 5 corresponding to very high suspicion of prostate cancer. These scores, which are roughly equivalent to the &quot;PIRADS Version 2&quot; scoring system, can be found in a spreadsheet included with the dataset.<\/li><\/ul><p>The STL files can be visualized in 3D Slicer as follows:<\/p><ol><li>Import the surface(s) either by drag-and-dropping or with File-&gt;Add Data<\/li><li>Within the &quot;Models&quot; module, adjust Display-&gt;Opacity of the prostate surface in order to visualize any ROI(s) within<\/li><li>To visualize surfaces in the context of corresponding MRI or US images, load the corresponding image series and then toggle the Slice Display-&gt;Visible radio button within the &quot;models&quot; module<\/li><li>To visualize surfaces in the context of biopsy cores, import the corresponding 3D slicer file named &quot;BiopsyVectors.mrml&quot; by drag-and-dropping or with File-&gt;Add Data.<\/li><\/ol><p>The STL files, which are written in a standard format, can also be imported and visualized with most computer-aided design (CAD) and 3D printing software. Note that, if quantitative analysis is desired, the following transform was applied to US surfaces for 3D slicer compatibility and may need to be reversed for visualization alongside MRI or US images using other software.<\/p><p style=\"margin-left: 60.0px;\">Transform (which has been applied to all ultrasound data):\u00a0<\/p><p style=\"margin-left: 60.0px;\">[0 1 0\u00a0<\/p><p style=\"margin-left: 60.0px;\">\u00a00 0 1\u00a0<\/p><p style=\"margin-left: 60.0px;\">\u00a01 0 0]<\/p><p style=\"margin-left: 60.0px;\">Inverse Transform (use to revert ultrasound data to original coordinates):\u00a0<\/p><p style=\"margin-left: 60.0px;\">[0 0 1\u00a0<\/p><p style=\"margin-left: 60.0px;\">\u00a01 0 0\u00a0<\/p><p style=\"margin-left: 60.0px;\">\u00a00 1 0]<\/p><h3 id=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-InstructionsforProperUseofthe&quot;BiopsyOverlay&quot;Files\">Instructions for Proper Use of the &quot;Biopsy Overlay&quot; Files<\/h3><p>Biopsy vectors, prostate surfaces, and regions of interest can be imported to 3D Slicer in a single step using the collection's &quot;Biopsy Overlay&quot; files. Overlay files associated with ultrasound images are organized into folders with the naming convention &quot;<em>Prostate-MRI-US-Biopsy-XXXX-BXus-seriesUID-####&quot; <\/em>where<em>\u00a0<\/em>&quot;XXXX&quot; is the anonymized patient number and &quot;####&quot; is the series instance UID of corresponding DICOM images. Files associated with MR images have an analogous naming convention &quot;<em>Prostate-MRI-US-Biopsy-XXXX-BXmr-seriesUID-####&quot;<\/em>, but are appended with &quot;<em>(<span>US-date<\/span>-YYYYMMDD)&quot;\u00a0<\/em>where 'YYYYMMDD' is the de-identified acquisition date of the ultrasound series registered to MRI during biopsy. This is specified because in some cases\u00a0multiple ultrasound-guided biopsies were registered to the same MRI series.<\/p><p>Within each folder of &quot;Biopsy Overlays&quot; is a file named &quot;BiopsyVectors.mrml&quot;. This can be imported directly into 3D Slicer\u00a0by either by drag-and-dropping or with File-&gt;Add Data. The prostate surface, any ROIs present, and all biopsy vectors will then be displayed within 3D Slicer.\u00a0The biopsy cores, represented as &quot;line&quot; fiducials, are color-coded as BLUE = benign, ORANGE = Gleason Grade 3+3, and RED = Gleason Grade \u2265 3+4. The prostate is shown as WHITE, and ROIs are GREEN.\u00a0To visualize these overlays in the context of corresponding MRI or US images, load the corresponding image series to 3D Slicer using File-&gt;DICOM.<\/p><h3 id=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-InstructionsforProperUseoftheBiopsyandTargetSpreadsheets\">Instructions for Proper Use of the Biopsy and Target Spreadsheets<\/h3><p>Spreadsheets accompany the dataset that summarize biopsy and MRI target information.<\/p><p>In the spreadsheet &quot;TCIA Biopsy Data,&quot; each row represents a single core acquired during ultrasound-guided biopsy. This information includes:<\/p><ul><li>Coordinates of the biopsy core relative to ultrasound images<\/li><li>Coordinates of the biopsy core relative to MR images. These are present for approximately 70% of the dataset; values of &quot;-1000&quot; are placeholders representing missing data.\u00a0<\/li><li>Primary and secondary Gleason score of the biopsy core. Blank entries represent cores containing only benign tissue.\u00a0<\/li><li>Length of cancer (mm) within the biopsy core.\u00a0Blank entries represent cores containing only benign tissue.\u00a0<\/li><li>Total tissue length (mm) of the biopsy core; multiple lengths are listed for cores that were fragmented. Tissue lengths\u00a0are present for approximately 60% of the dataset; blank entries represent cores for which total tissue length was not recorded.<\/li><li>Core labels (textual description).\u00a0<\/li><li>Prostate serum antigen of patient at the time of biopsy.\u00a0<\/li><li>Prostate volume of the patient at the time of biopsy, as measured via MRI prostate segmentation.<\/li><li>De-identified patient number, series instance UID of ultrasound, and series instance UID of MR images associated with the biopsy core. Note that MRI UIDs are present for approximately 70% of the dataset; blank entries represent cases for which data was irretrievable or MRI registration was not performed.<\/li><\/ul><p>In the spreadsheet &quot;Target Data,&quot; each row represents a single region of interest (ROI), corresponding to one of the exported Target STL files. This information includes:<\/p><ul><li>Likert-Like &quot;UCLA&quot; score of the ROI. This score predates but is similar to &quot;PIRADSv2.&quot; Score values range from 1-5, where 1 is very low suspicion of prostate cancer and 5 is very high suspicion of prostate cancer. Note that scores of 0 or 1 may represent segmentation of non-malignant morphology, or else cases for which a score could not be properly assigned. Only scores of 2 or higher should be considered to correlate with risk of prostate cancer.<\/li><li>Volume (in CCs) of the ROI.<\/li><li>Target number of the ROI, enabling correlation between STL surfaces and the suspicion scores for cases with multiple targets.<\/li><li>De-identified patient number and series instance UID of MR images associated with the ROI.<\/li><\/ul><p><br\/><\/p><\/div><div class=\"tabs-pane \" id=\"68550661a1b23cf1c8a14ab9b9a8f74c0ffb9a4f\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-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>Natarajan, S., Priester, A., Margolis, D., Huang, J., &amp; Marks, L. (2020). <strong>Prostate MRI and Ultrasound With Pathology and Coordinates of Tracked Biopsy (Prostate-MRI-US-Biopsy)<\/strong> [Data set]. The Cancer Imaging Archive. DOI: <a href=\"https:\/\/doi.org\/10.7937\/TCIA.2020.A61IOC1A\" class=\"external-link\" rel=\"nofollow\">10.7937\/TCIA.2020.A61IOC1A<\/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(23,43,77);\">Sonn GA, Natarajan S, Margolis DJ, MacAiran M, Lieu P, Huang J, Dorey FJ, Marks LS. <strong>Targeted biopsy in the detection of prostate\u00a0<\/strong><\/span> <span style=\"color: rgb(23,43,77);\"><strong>cancer using an office based magnetic resonance ultrasound fusion device.\u00a0<\/strong> Journal of U<\/span><span style=\"color: rgb(23,43,77);\">rology 189, no. 1 (2013): 86-91. DOI: <a href=\"https:\/\/doi.org\/10.1016\/j.juro.2012.08.095\" class=\"external-link\" rel=\"nofollow\">10.1016\/j.juro.2012.08.095<\/a>\u00a0<br\/><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3561472\/\" class=\"external-link\" rel=\"nofollow\">PMC3561472<\/a><br\/><\/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, 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=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-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=\"685506615e8b66953f184222aea6afe7d0c89fe2\" name=\"Versions\" ><h3 id=\"ProstateMRIandUltrasoundWithPathologyandCoordinatesofTrackedBiopsy(ProstateMRIUSBiopsy)-Version1(Current):2020\/09\/17\">Version 1 (Current):\u00a0 2020\/09\/17<\/h3><div class=\"table-wrap\"><table class=\"wrapped fixed-table confluenceTable\"><colgroup> <col style=\"width: 301.0px;\"\/> <col style=\"width: 253.0px;\"\/> <\/colgroup><tbody><tr><th class=\"confluenceTh\"><span>Data Type<\/span><\/th><th class=\"confluenceTh\"><span>Download all or Query\/Filter<\/span><\/th><\/tr><tr><td class=\"confluenceTd\"><span>Images (DICOM)\u00a0<span style=\"color: rgb(51,51,51);\">77.6\u00a0<\/span>(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\/68550661\/Prostate-MRI-US-Biopsy-NBIA-manifest_20200910.tcia?version=1&amp;modificationDate=1599764668817&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=Prostate-MRI-US-Biopsy\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span><\/p><\/div><p>(Download requires the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>)<\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Target Data (<span style=\"color: rgb(33,37,41);\">XLSX<\/span>)\u00a0131 (KB)<\/td><td colspan=\"1\" 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\/68550661\/Target%20Data_2019-12-05.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><p>(Download requires the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>)<\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Biopsy Data (<span style=\"color: rgb(33,37,41);\">XLSX<\/span>)\u00a04.25 (MB)<\/td><td colspan=\"1\" 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\/68550661\/TCIA%20Biopsy%20Data_2020-07-14.xlsx?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>(Download requires the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\" rel=\"nofollow\">NBIA Data Retriever<\/a>)<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\"><div class=\"content-wrapper\"><p>STL Files\u00a0(ZIP) 274 (MB)<\/p><\/div><\/td><td colspan=\"1\" 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\/91?passcode=720f9216ca74fc6860271caeff37005222eaa818\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/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><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Biopsy Overlays (ZIP) 333 (MB)\u00a0<\/td><td colspan=\"1\" 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\/90?passcode=2871e9cc1175bc274ae9d8122dc0df73c44878ed\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/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><\/tr><\/tbody><\/table><\/div><p><br\/><\/p><\/div><\/div><\/div><\/div><p><br\/><\/p><p><br\/><\/p><p><br\/><\/p><p><br\/><\/p><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 \n<ul><li><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=prostate_mri_us_biopsy\">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 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":"Prostate MRI and Ultrasound With Pathology and Coordinates of Tracked Biopsy","detailed_description":"<h3>Instructions for Proper Use of the STL Files<\/h3>\nThe 3D surfaces of this dataset are in stereolithography format (binary representation). They are segmentations representing anatomic regions within the corresponding ultrasound (US) or MRI images. Each file is named \"Prostate-MRI-US-Biopsy-XXXX-SURFACETYPE-seriesUID-YYYY.STL\" where \"XXXX\" is the anonymized patient number and \"YYYY\" is the series instance UID of corresponding DICOM images. \"SURFACETYPE\" can be one of two identifiers, summarized below.\n<ul><li>If \"SURFACETYPE\" is \"ProstateSurface,\" then the STL file is a segmentation of the prostate gland. These were contoured semi-automatically with Profuse (for MRI) or the Artemis fusion biopsy system (for US), both products of Eigen (Grass Valley, CA). Using these tools, the user manually traced the prostate on one or more image planes, and the remainder of gland was automatically segmented in 3D. The user was then able to adjust vertices of the 3D segmentation as necessary. These segmentations are generally of good quality, though their accuracy is user-dependent.\u00a0<\/li><li>If \"SURFACETYPE\" is \"Target,\" then the STL file is a segmentation of a Region of Interest (ROI) suspicious for harboring prostate cancer. Zero, one, or more than one ROI may be present, and thus are designated \"Target1,\" \"Target2,\" etc. The ROIs corresponding to MRI were traced manually by a radiologist based on their interpretation of the patient's multiparametric MRI study. The ROIs corresponding to US images were acquired by registering the MRI prostate surface nonrigidly and semi-automatically to the US prostate surface. Therefore, the US ROIs are subject to misregistration, with average accuracy of 3-4 mm.<\/li><li>Note that proximity to an ROI increases the likelihood of, but does not guarantee, prostate cancer. Also note that radiologists assigned each ROI a Likert-like suspicion score of 1-5, with 1 corresponding to very low suspicion of prostate cancer and 5 corresponding to very high suspicion of prostate cancer. These scores, which are roughly equivalent to the \"PIRADS Version 2\" scoring system, can be found in a spreadsheet included with the dataset.<\/li><\/ul>\nThe STL files can be visualized in 3D Slicer as follows:\n<ol><li>Import the surface(s) either by drag-and-dropping or with File-&gt;Add Data<\/li><li>Within the \"Models\" module, adjust Display-&gt;Opacity of the prostate surface in order to visualize any ROI(s) within<\/li><li>To visualize surfaces in the context of corresponding MRI or US images, load the corresponding image series and then toggle the Slice Display-&gt;Visible radio button within the \"models\" module<\/li><li>To visualize surfaces in the context of biopsy cores, import the corresponding 3D slicer file named \"BiopsyVectors.mrml\" by drag-and-dropping or with File-&gt;Add Data.<\/li><\/ol>\nThe STL files, which are written in a standard format, can also be imported and visualized with most computer-aided design (CAD) and 3D printing software. Note that, if quantitative analysis is desired, the following transform was applied to US surfaces for 3D slicer compatibility and may need to be reversed for visualization alongside MRI or US images using other software.\nTransform (which has been applied to all ultrasound data):\u00a0\n[0 1 0\u00a0\n\u00a00 0 1\u00a0\n\u00a01 0 0]\nInverse Transform (use to revert ultrasound data to original coordinates):\u00a0\n[0 0 1\u00a0\n\u00a01 0 0\u00a0\n\u00a00 1 0]\n<h3>Instructions for Proper Use of the \"Biopsy Overlay\" Files<\/h3>\nBiopsy vectors, prostate surfaces, and regions of interest can be imported to 3D Slicer in a single step using the collection's \"Biopsy Overlay\" files. Overlay files associated with ultrasound images are organized into folders with the naming convention \"<em>Prostate-MRI-US-Biopsy-XXXX-BXus-seriesUID-####\" <\/em>where<em>\u00a0<\/em>\"XXXX\" is the anonymized patient number and \"####\" is the series instance UID of corresponding DICOM images. Files associated with MR images have an analogous naming convention \"<em>Prostate-MRI-US-Biopsy-XXXX-BXmr-seriesUID-####\"<\/em>, but are appended with \"<em>(US-date-YYYYMMDD)\"\u00a0<\/em>where 'YYYYMMDD' is the de-identified acquisition date of the ultrasound series registered to MRI during biopsy. This is specified because in some cases\u00a0multiple ultrasound-guided biopsies were registered to the same MRI series.\nWithin each folder of \"Biopsy Overlays\" is a file named \"BiopsyVectors.mrml\". This can be imported directly into 3D Slicer\u00a0by either by drag-and-dropping or with File-&gt;Add Data. The prostate surface, any ROIs present, and all biopsy vectors will then be displayed within 3D Slicer.\u00a0The biopsy cores, represented as \"line\" fiducials, are color-coded as BLUE = benign, ORANGE = Gleason Grade 3+3, and RED = Gleason Grade \u2265 3+4. The prostate is shown as WHITE, and ROIs are GREEN.\u00a0To visualize these overlays in the context of corresponding MRI or US images, load the corresponding image series to 3D Slicer using File-&gt;DICOM.\n<h3>Instructions for Proper Use of the Biopsy and Target Spreadsheets<\/h3>\nSpreadsheets accompany the dataset that summarize biopsy and MRI target information.\nIn the spreadsheet \"TCIA Biopsy Data,\" each row represents a single core acquired during ultrasound-guided biopsy. This information includes:\n<ul><li>Coordinates of the biopsy core relative to ultrasound images<\/li><li>Coordinates of the biopsy core relative to MR images. These are present for approximately 70% of the dataset; values of \"-1000\" are placeholders representing missing data.\u00a0<\/li><li>Primary and secondary Gleason score of the biopsy core. Blank entries represent cores containing only benign tissue.\u00a0<\/li><li>Length of cancer (mm) within the biopsy core.\u00a0Blank entries represent cores containing only benign tissue.\u00a0<\/li><li>Total tissue length (mm) of the biopsy core; multiple lengths are listed for cores that were fragmented. Tissue lengths\u00a0are present for approximately 60% of the dataset; blank entries represent cores for which total tissue length was not recorded.<\/li><li>Core labels (textual description).\u00a0<\/li><li>Prostate serum antigen of patient at the time of biopsy.\u00a0<\/li><li>Prostate volume of the patient at the time of biopsy, as measured via MRI prostate segmentation.<\/li><li>De-identified patient number, series instance UID of ultrasound, and series instance UID of MR images associated with the biopsy core. Note that MRI UIDs are present for approximately 70% of the dataset; blank entries represent cases for which data was irretrievable or MRI registration was not performed.<\/li><\/ul>\nIn the spreadsheet \"Target Data,\" each row represents a single region of interest (ROI), corresponding to one of the exported Target STL files. This information includes:\n<ul><li>Likert-Like \"UCLA\" score of the ROI. This score predates but is similar to \"PIRADSv2.\" Score values range from 1-5, where 1 is very low suspicion of prostate cancer and 5 is very high suspicion of prostate cancer. Note that scores of 0 or 1 may represent segmentation of non-malignant morphology, or else cases for which a score could not be properly assigned. Only scores of 2 or higher should be considered to correlate with risk of prostate cancer.<\/li><li>Volume (in CCs) of the ROI.<\/li><li>Target number of the ROI, enabling correlation between STL surfaces and the suspicion scores for cases with multiple targets.<\/li><li>De-identified patient number and series instance UID of MR images associated with the ROI.<\/li><\/ul>\n<br\/>","related_analysis_results":false,"subjects":"1151","collection_short_title":"Prostate-MRI-US-Biopsy","data_types":["MR","US"],"date_updated":"2023-09-13","collection_browse_title":"","supporting_data":["Image Analyses"],"collection_featured_image":{"ID":"8108","post_author":"6","post_date":"2023-09-13 03:55:46","post_date_gmt":"2023-09-13 03:55:46","post_content":"","post_title":"Prostate-MRI-US-Biopsy-Exemplary-Image-Simple","post_excerpt":"","post_status":"inherit","comment_status":"open","ping_status":"closed","post_password":"","post_name":"prostate-mri-us-biopsy-exemplary-image-simple","to_ping":"","pinged":"","post_modified":"2023-09-13 12:01:41","post_modified_gmt":"2023-09-13 12:01:41","post_content_filtered":"","post_parent":"5653","guid":"https:\/\/cm.vastapps.dev\/wp-content\/uploads\/Prostate-MRI-US-Biopsy-Exemplary-Image-Simple.png","menu_order":"0","post_type":"attachment","post_mime_type":"image\/png","comment_count":"0","pod_item_id":"8108"},"collection_summary":"<div class=\"cm-content-image\"><a href=\"\/wp-content\/uploads\/Prostate-MRI-US-Biopsy-Exemplary-Image-Complex.png\" rel=\"prettyPhoto noopener\" target=\"_blank\"><img src=\"\/wp-content\/uploads\/Prostate-MRI-US-Biopsy-Exemplary-Image-Complex.png\"\/><\/a><\/div>\nThis dataset was derived from tracked biopsy sessions using the Artemis biopsy system, many of which included image fusion with MRI targets. Patients received a 3D transrectal ultrasound scan, after which nonrigid registration (e.g. \u201cfusion\u201d) was performed between real-time ultrasound and preoperative MRI, enabling biopsy cores to be sampled from MR regions of interest.\u00a0Most cases also included sampling of systematic biopsy cores using a 12-core digital template.\u00a0The Artemis system tracked targeted and systematic core locations using encoder kinematics of a mechanical arm, and recorded locations relative to the Ultrasound scan. MRI biopsy coordinates were also recorded for most cases.\u00a0STL files and biopsy overlays are available and can be visualized in\u00a0<a href=\"https:\/\/www.slicer.org\/\">3D Slicer<\/a>\u00a0with the\u00a0<a href=\"https:\/\/github.com\/SlicerHeart\/SlicerHeart\" title=\"https:\/\/github.com\/SlicerHeart\/SlicerHeart\">SlicerHeart extension<\/a>.\u00a0 Spreadsheets summarizing biopsy and MR target data are also available.\u00a0See the Detailed Description tab below for more information.\nMRI targets were defined using multiparametric MRI, e.g. t2-weighted, diffusion-weighted, and perfusion-weighted sequences, and scored on a Likert-like scale with close correspondence to PIRADS version 2. t2-weighted MRI was used to trace ROI contours,\u00a0and is the only sequence provided in this dataset. MR imaging was performed on a 3 Tesla Trio, Verio or Skyra scanner (Siemens, Erlangen, Germany). A transabdominal phased array was used in all cases, and an endorectal coil was used in a subset of cases. The majority of pulse sequences are 3D T2:SPC, with TR\/TE 2200\/203, Matrix\/FOV 256 \u00d7 205\/14 \u00d7 14 cm, and 1.5mm slice spacing. Some cases were instead 3D T2:TSE with TR\/TE 3800\u20135040\/101, and a small minority were imported from other institutions (various T2 protocols.)\nUltrasound scans were performed with Hitachi Hi-Vision 5500 7.5 MHz or the Noblus C41V 2-10 MHz end-fire probe. 3D scans were acquired by rotation of the end-fire probe 200 degrees about its axis, and interpolating to resample the volume with isotropic resolution.\nPatients with suspicion of prostate cancer due to elevated PSA and\/or suspicious imaging findings were consecutively accrued. Any consented patient who underwent or had planned to receive a routine, standard-of-care prostate biopsy at the UCLA Clark Urology Center was included.\u00a0 \u00a0\n<strong>Note<\/strong>: Some Private Tags in this collection are critical to properly displaying the STL surface and the Prostate anatomy.\u00a0 Private Tag\u00a0(1129,\"Eigen Artemis\",1016) DS VoxelSize is especially important for multi-frame US cases.","collection_acknowledgements":"We would like to acknowledge the individuals and institutions that have provided data for this collection:\n<ul><li> This work was supported in part by the National Cancer Institute Award R01CA158627, Prostate\u00a0 Cancer SPORE at University of California-Los Angeles P50CA092131, the Beckman Coulter\u00a0 Foundation, Jean Perkins Foundation, and Steven C. Gordon Family Foundation <\/li><li>Harmonization of the components of this dataset, including into standard DICOM representation, was supported in part by the NCI Imaging Data Commons consortium. NCI Imaging Data Commons consortium is supported by the contract number 19X037Q from Leidos Biomedical Research under Task Order HHSN26100071 from NCI<\/li><\/ul>\n<br\/>","collection_funding":"","hide_from_browse_table":[],"_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5653"}],"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\/8108"}],"wp:attachment":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/media?parent=5653"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5653"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}