{"id":13,"date":"2014-06-04T23:07:14","date_gmt":"2014-06-04T23:07:14","guid":{"rendered":"http:\/\/www-dev.cancerimagingarchive.net\/tcia\/?page_id=13"},"modified":"2024-02-22T14:24:59","modified_gmt":"2024-02-22T20:24:59","slug":"about-the-cancer-imaging-archive-tcia","status":"publish","type":"page","link":"https:\/\/stage.cancerimagingarchive.net\/about-the-cancer-imaging-archive-tcia\/","title":{"rendered":"About The Cancer Imaging Archive (TCIA)"},"content":{"rendered":"[vc_row type=&#8221;in_container&#8221; full_screen_row_position=&#8221;middle&#8221; column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; scene_position=&#8221;center&#8221; top_padding=&#8221;40&#8243; text_color=&#8221;dark&#8221; text_align=&#8221;left&#8221; row_border_radius=&#8221;none&#8221; row_border_radius_applies=&#8221;bg&#8221; overflow=&#8221;visible&#8221; overlay_strength=&#8221;0.3&#8243; gradient_direction=&#8221;left_to_right&#8221; shape_divider_position=&#8221;bottom&#8221; bg_image_animation=&#8221;none&#8221; shape_type=&#8221;&#8221;][vc_column column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; column_position=&#8221;default&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/1&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221;][vc_column_text]The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts a large publicly available archive of medical images of cancer.\u00a0 TCIA is funded by the Cancer Imaging Program (CIP), a part of the United States\u00a0 National Cancer Institute (NCI), and is managed by the Frederick National Laboratory for Cancer Research (FNLCR).<\/p>\n<p>The imaging data are organized as \u201ccollections\u201d defined by a common disease (e.g. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. DICOM is the primary file format used by TCIA for radiology imaging. \u00a0 An emphasis is made to provide supporting data related to the images such as patient outcomes, treatment details, genomics and expert analyses.<\/p>\n<p><a href=\"https:\/\/www.cancerimagingarchive.net\/primary-data\/\">New Collection proposals <\/a>\u00a0are reviewed by the TCIA Advisory Group. If approved, the Data Collection Center (DCC) provides hands-on support to image providers to de-identify and curate their data. After the data has been processed it is made available in four different ways for users to access:<\/p>\n<ol>\n<li>Collection summary pages can be accessed from the <a href=\"\/\/www.cancerimagingarchive.net\/\">home page<\/a> which provide a detailed explanation of each data set as well as direct download links to quickly obtain all images and supporting data for a given Collection.<\/li>\n<li>The\u00a0<a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/\">Radiology<\/a>\u00a0and\u00a0<a href=\"https:\/\/www.cancerimagingarchive.net\/histopathology-imaging-on-tcia\/\">Histopathology<\/a> data portals provide\u00a0more advanced searching, browsing and filtering capabilities to select image subsets or download images from multiple Collections which meet search criteria.<\/li>\n<li>The <a href=\"\/\/wiki.cancerimagingarchive.net\/x\/NIIiAQ\">Programmatic Interface (REST API)<\/a> allows software developers to build access to TCIA data into their scripts and applications.<\/li>\n<li>TCIA also encourages the creation of <a href=\"\/\/wiki.cancerimagingarchive.net\/x\/x49XAQ\">Data Analysis Centers (DACs)<\/a> which provide additional capabilities for visualizing or analyzing TCIA data by connecting to our TCIA Programmatic Interface (REST API) or by mirroring our Collections.<\/li>\n<\/ol>\n<p>To enhance the value of TCIA&#8217;s collections we also encourage the research community to <a href=\"https:\/\/www.cancerimagingarchive.net\/analysis-results\/\">publish their analysis results<\/a>. Potential analyses could include tumor segmentations, radiomics features, derived\/reprocessed images, and radiologist assessments. \u00a0You can view the analyses published by other TCIA users in our <a href=\"https:\/\/www.cancerimagingarchive.net\/tcia-analysis-results\/\">Analysis Results<\/a> directory.<\/p>\n<p>Use the tabs below for more information:<\/p>\n[toggle title=&#8221;Are there any publications that describe TCIA in more detail?&#8221;]\nYes, they can be found on <a href=\"\/\/wiki.cancerimagingarchive.net\/display\/Public\/Publications+about+TCIA+Authored+by+the+TCIA+team\" target=\"_blank\" rel=\"noopener noreferrer\">this page<\/a>.<br \/>\n[\/toggle]\n[toggle title=&#8221;What value would it be to me?&#8221;]\nA huge amount of clinical and research images are collected each year. TCIA organizes and catalogs the images so that they may be used by the research community for a variety of purposes.<\/p>\n<ul>\n<li><strong>Cancer researchers<\/strong> can use this data to test new hypotheses and develop new analysis techniques to advance our scientific understanding of cancer.<\/li>\n<li><strong>Engineers and developers<\/strong> can build new analysis tools and techniques using this data as test material for developing and validating algorithms.<\/li>\n<li><strong>Professors<\/strong> can use it as a teaching tool for introducing students to medical imaging technology and cancer phenotypes.<\/li>\n<li><strong>The general public<\/strong> can see how cancer appears in diagnostic images and learn about the instruments doctor uses to diagnose cancer and measure the success of treatment.<\/li>\n<\/ul>\n[\/toggle]\n[toggle title=&#8221;Is it easy to use?&#8221;]Yes. There is a general <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/User+Guides\">user&#8217;s guide<\/a> available on our wiki, as well as context-sensitive help available on each page. Our <a href=\"\/\/www.cancerimagingarchive.net\/support\">support desk<\/a> is also available to help with everything from submitting and searching for images to downloading data.[\/toggle]\n[toggle title=&#8221;Accessing the images&#8221;]\n<p>TCIA is designed to make searching, reviewing and downloading DICOM data for research quick and easy. Each collection is linked to its own Wiki page that contains information about the source(s), metadata available, and envisioned research purposes of the data.<\/p>\n<ul>\n<li><strong>Searching for images<\/strong> \u2013 The <strong>simple search<\/strong> page allows for filtering by: collection names, date of image availability, image modality, and encoded patient ID. There is an <strong>advanced search<\/strong> which can filter on modality manufacturer, software version, and several additional DICOM elements. For complex queries there is a <strong>dynamic search<\/strong> option allowing one to query over 90 elements of the DICOM files. Searches can be saved for future reference.<\/li>\n<li><strong>Reviewing the results<\/strong> \u2013 There are multiple ways to review the data prior to download. This includes <strong>JPEG thumbnail previews<\/strong>, an interactive <strong>Cine tool<\/strong> which allows easily scanning through the images, and a link to <strong>view the full DICOM header<\/strong> to see the elements contained within the series.<\/li>\n<li><strong>Downloading the data<\/strong> \u2013 Images are placed in your <strong>download basket<\/strong> for saving to your local computer. The archive utilizes a Java Web Start applet to quickly download the images to the desired location.<\/li>\n<li><strong>Referencing the data<\/strong> &#8211; A &#8216;Shared List&#8217; feature allows referencing to fixed sets of images from emails and publications.<\/li>\n<\/ul>\n[\/toggle]\n[toggle title=&#8221;Submitting Data&#8221;]\n<p>TCIA addresses the technical and policy challenges faced by sites wanting to make image data available for public research.<\/p>\n<ul>\n<li><strong>DICOM PS 3.15 Compliance<\/strong> \u2013 All data submitted to the archive is processed with the RSNA&#8217;s Clinical Trials Processor software using de-identification scripts which leverage Attribute Confidentiality Profile (DICOM PS 3.15: Appendix E), the official DICOM standard for clinical trials image de-identification.<\/li>\n<li><strong>Curation and Quality Control<\/strong> \u2013 A team of subject matter experts performs curation and quality control against every image submitted to the archive. This review ensures that no protected health information ever makes it into the archive while verifying that meta data which is critical to research analysis is not mistakenly removed.<\/li>\n<li><strong>Submission support<\/strong> \u2013 A submission helpdesk is available to assist submitters every step of the way. This includes providing tools for analyzing data sets as well as customizing and pre-configuring the submission software specifically for that data.<\/li>\n<\/ul>\n<p>Learn more about <a href=\"\/\/www.cancerimagingarchive.net\/requesting-permission-to-upload-your-data\">what to expect as an image provider<\/a>.<\/p>\n[\/toggle]\n[toggle title=&#8221;Is all data in TCIA accessible to every user?&#8221;]Most of the data sets in TCIA are accessible to all users. However, TCIA provides the security support to limit access to data sets where appropriate. For example, if a data set needs to be shared on TCIA among collaborators for preliminary analysis, TCIA will support this. At the time of submission, the data provider can provide the TCIA team with a list of collaborators who will have exclusive access. Having the data mounted on TCIA can facilitate making the data public at a later date as well if desired.[\/toggle]\n[toggle title=&#8221;Will this archive help someone currently dealing with cancer?&#8221;]Not directly, but we hope by promoting new discovery the scientists, engineers and physicians who use this data will find new ways to fight this disease.[\/toggle]\n[toggle title=&#8221;What&#8217;s the difference between TCIA and the National Biomedical Imaging Archive (NBIA)?&#8221;]TCIA is a project funded by the Cancer Imaging Program of the National Cancer Institute that uses NBIA software at its core. 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