{"id":48455,"date":"2024-07-16T10:18:34","date_gmt":"2024-07-16T15:18:34","guid":{"rendered":"https:\/\/www.cancerimagingarchive.net\/?post_type=tcia_collection&#038;p=48455"},"modified":"2024-08-23T13:30:25","modified_gmt":"2024-08-23T18:30:25","slug":"dfci-bch-bwh-peds-hgg","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/dfci-bch-bwh-peds-hgg\/","title":{"rendered":"DFCI-BCH-BWH-PEDs-HGG"},"featured_media":0,"template":"","class_list":["post-48455","tcia_collection","type-tcia_collection","status-publish"],"cancer_types":["High Grade Glioma","Diffuse Midline Glioma"],"citations":[48833,48459,9225],"collection_doi":"10.7937\/v8h6-bg25","collection_download_info":"","collection_downloads":[48461,48847],"versions":false,"additional_resources":"The following external resources have been made available by the data submitters.\u00a0 These are not hosted or supported by TCIA, but may be useful to the researchers utilizing this collection:\r\n<ul>\r\n \t<li>2023 Challenge website<em>:<\/em>\u00a0 <a href=\"https:\/\/www.synapse.org\/Synapse:syn51156910\/wiki\/622461\">https:\/\/www.synapse.org\/Synapse:syn51156910\/wiki\/622461<\/a><\/li>\r\n \t<li>2024 Challenge website: <a href=\"https:\/\/www.synapse.org\/Synapse:syn53708249\/wiki\/627505\">https:\/\/www.synapse.org\/Synapse:syn53708249\/wiki\/627505<\/a><\/li>\r\n \t<li>The recommended viewer for these data is <strong><a href=\"http:\/\/www.itksnap.org\/\">ITK-SNAP<\/a> version 3.8<\/strong>\r\n<ul>\r\n \t<li>ITK-SNAP software citation: Yushkevich, et al.(2006). User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. In NeuroImage (Vol. 31, Issue 3, pp. 1116\u20131128). <a href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2006.01.015\">https:\/\/doi.org\/10.1016\/j.neuroimage.2006.01.015<\/a><\/li>\r\n<\/ul>\r\n<\/li>\r\n<\/ul>","cancer_locations":["Brain"],"collection_page_accessibility":"Public","publications_related":"","version_change_log_archived":"","collection_status":"Complete","publications_using":"TCIA maintains\u00a0<a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\">a list of publications<\/a>\u00a0which leverage TCIA data. If you have a manuscript you\u2019d like to add please\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">contact TCIA\u2019s Helpdesk<\/a>.","related_analysis_results":false,"species":["Human"],"version_number":"1","collection_title":"MR imaging of pediatric subjects with high-grade gliomas","date_updated":"2024-07-16","related_collection":false,"subjects":"61","analysis_results":"","collection_short_title":"DFCI-BCH-BWH-PEDs-HGG","data_types":["MR"],"version_change_log":"","collection_browse_title":"DFCI-BCH-BWH-PEDs-HGG","detailed_description":"","supporting_data":false,"collection_featured_image":false,"collection_summary":"<p><strong>Background:<\/strong>\u00a0Pediatric tumors of the central nervous system are the leading cause of cancer-related death among children. High-grade gliomas (HGGs) in children have a five-year survival rate of less than 20%. Due to their rarity, diagnosis is often delayed, treatment strategies rely on historical protocols, and clinical trials necessitate collaboration across multiple institutions.<\/p><p><strong>Summary:<\/strong>\u00a0The DFCI-BCH-BWH-PEDs-HGG 2023 dataset is a comprehensive database of pediatric high-grade gliomas. This dataset includes a retrospective, multi-institutional cohort of conventional\/structural magnetic resonance imaging (MRI) sequences, featuring pre- and post-gadolinium T1-weighted (labeled as T1 and T1CE), T2-weighted (T2), and T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) images. These data were collected from Boston Children\u2019s Hospital, Dana-Farber Cancer Institute, and Brigham and Women\u2019s Hospital, encompassing a total of 61 cases. The <em>DFCI-BCH-BWH-PEDs-HGG<\/em> <em>2023<\/em>\u00a0dataset is a subset of the <em>BraTS-PEDs 2023 challenge<\/em>\u00a0as described in <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC10246083\/\">this manuscript<\/a>.<br \/><br \/><strong>Inclusion criteria <\/strong>consisted of (pediatric, adolescent, young adult) subjects with histologically-approved high-grade glioma, i.e., high-grade astrocytoma and diffuse midline glioma (DMG), including radiologically or histologically-proven diffuse intrinsic pontine glioma (DIPG), diagnostic or pretreatment imaging.<\/p><p><strong>Exclusion criteria <\/strong>consisted of (1) Images assessed to be of low quality or with artifacts that would not allow for reliable tumor segmentation, (2) Infants younger than one month of age.<\/p><p>Defacing was done using the Pydeface Python algorithm.<\/p><p>The corresponding T1, T1CE, T2, and T2-FLAIR expert segmentations will be released as part of a future publication from the BRATS-PEDs organizers.<\/p>","collection_acknowledgements":"<p>We would like to acknowledge the individuals and institutions that have provided data for this collection:<\/p><ul><li><strong>Dana-Farber\/ Boston Children\u2019s Cancer and Blood Disorders Center<\/strong> - Special thanks to\u00a0<strong>Tina Pouissaint<\/strong>, MD\u00a0and\u00a0<strong>Sri Vajapeyam<\/strong>, PhD from the Department of Radiology.<\/li><li><strong>Brigham and Women\u2019s\/Dana-Farber Cancer Center<\/strong>, MA - Special thanks to\u00a0<strong>Kevin Liu<\/strong>, MD, <strong>Anna Zapaishchykova<\/strong>, MS, and <strong>Benjamin Kann<\/strong>, MD from the Department of Radiation Oncology and Artificial Intelligence in Medicine Program.<\/li><li>The project was supported by funding from NIH <strong>U54 CA274516.<\/strong><\/li><\/ul>","collection_funding":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/48455","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_collection"}],"version-history":[{"count":1,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/48455\/revisions"}],"predecessor-version":[{"id":48463,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/48455\/revisions\/48463"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=48455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}