{"id":41419,"date":"2023-11-20T01:00:48","date_gmt":"2023-11-20T07:00:48","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/collection\/anti-pd-1_lung\/"},"modified":"2024-03-25T10:54:20","modified_gmt":"2024-03-25T15:54:20","slug":"anti-pd-1_lung","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/anti-pd-1_lung\/","title":{"rendered":"ANTI-PD-1_LUNG"},"featured_media":0,"template":"","class_list":["post-41419","tcia_collection","type-tcia_collection","status-publish"],"cancer_types":["Lung Cancer"],"citations":[41415,9225],"collection_doi":"10.7937\/tcia.2019.zjjwb9ip","collection_download_info":"","collection_downloads":[41417],"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.\r\n<ul>\r\n \t<li><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=anti_pd_1_lung\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li>\r\n \t<li>IDC Zenodo community dataset <a href=\"https:\/\/zenodo.org\/doi\/10.5281\/zenodo.8345959\">Image segmentations produced by BAMF under the AIMI Annotations initiative<\/a><\/li>\r\n<\/ul>","cancer_locations":["Lung"],"collection_page_accessibility":"Public","publications_related":"","version_change_log_archived":"<h3>Version 1 (Current): 2019\/04\/19<\/h3><table><colgroup><col \/><col \/><\/colgroup><tbody><tr><th>Data Type<\/th><th>Download all or Query\/Filter<\/th><\/tr><tr><td>Images (DICOM, 62.1 GB)<\/td><td><div><p><a href=\"\/wp-content\/uploads\/Anti-PD-1-LungNBIA-manifest-1555593712098.tcia\" download=\"Anti-PD-1-LungNBIA-manifest-1555593712098.tcia\"><button><i><\/i> Download<\/button><\/a>\u00a0 <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=Anti-PD-1_Lung\"><button><i><\/i> Search<\/button><\/a>\u00a0 (Download requires <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>)<\/p><\/div><\/td><\/tr><\/tbody><\/table>","collection_status":"Complete","publications_using":"TCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\">a list of publications<\/a> which leverage our data. If you have a publication you'd like to add please\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">contact TCIA's Helpdesk<\/a>.\r\n<ul>\r\n \t<li>Kosareva, A. A., Paulenka, D. A., Snezhko, E. V., Bratchenko, I. A., &amp; Kovalev, V. A. (2022). Examining the Validity of Input Lung CT Images Submitted to the AI-Based Computerized Diagnosis. Journal of Biomedical Photonics &amp; Engineering, 8(3). doi: https:\/\/doi.org\/10.18287\/JBPE22.08.030307<\/li>\r\n \t<li>Leitner, B. P., &amp; Perry, R. J. (2020). The Impact of Obesity on Tumor Glucose Uptake in Breast and Lung Cancer. JNCI Cancer Spectrum. doi:10.1093\/jncics\/pkaa007<\/li>\r\n \t<li>Sinthia, P., Malathi, M., K, A., &amp; Suresh Anand, M. (2022). Improving lung cancer detection using faster region\u2010based convolutional neural network aided with fuzzy butterfly optimization algorithm. Concurrency and Computation: Practice and Experience. doi:https:\/\/doi.org\/10.1002\/cpe.7251<\/li>\r\n \t<li>Trebeschi, S., Bodalal, Z., van Dijk, N., Boellaard, T. N., Apfaltrer, P., Tareco Bucho, T. M., . . . Beets-Tan, R. G. H. (2021). Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy. Front Oncol, 11, 637804. doi:10.3389\/fonc.2021.637804<\/li>\r\n<\/ul>","related_analysis_results":[45927,46301],"species":["Human"],"version_number":"1","collection_title":"Anti-PD-1 Immunotherapy Lung","date_updated":"2019-04-19","related_collection":false,"subjects":"46","analysis_results":"","collection_short_title":"Anti-PD-1_Lung","data_types":["CT","PT","SC"],"version_change_log":"","collection_browse_title":"Anti-PD-1_Lung","detailed_description":"","supporting_data":false,"collection_featured_image":false,"collection_summary":"<p>This collection includes 46 lung cases treated with\u00a0anti-PD1 immunotherapy in 2016, each with pre-treatment and most with 1 imaging follow-up timepoint.<\/p>","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/41419","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\/41419\/revisions"}],"predecessor-version":[{"id":47431,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/41419\/revisions\/47431"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=41419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}