{"id":42113,"date":"2023-11-20T02:10:09","date_gmt":"2023-11-20T08:10:09","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/collection\/4d-lung\/"},"modified":"2024-10-24T14:55:54","modified_gmt":"2024-10-24T19:55:54","slug":"4d-lung","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/4d-lung\/","title":{"rendered":"4D-LUNG"},"featured_media":0,"template":"","class_list":["post-42113","tcia_collection","type-tcia_collection","status-publish"],"cancer_types":["Non-small Cell Lung Cancer"],"citations":[42099,42101,42103,42105,9225],"collection_doi":"10.7937\/K9\/TCIA.2016.ELN8YGLE","collection_download_info":"","collection_downloads":[42107],"versions":[42111],"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=4d_lung\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li>\r\n<\/ul>\r\nExternally hosted datasets derived from this collection: (TCIA does not perform any quality control or curation on these datasets and cannot provide any support related to their use)\r\n<ul>\r\n \t<li><a href=\"https:\/\/zenodo.org\/doi\/10.5281\/zenodo.10105597\">Multi-breath 4DCT images of lung cancer patients<\/a><\/li>\r\n<\/ul>","cancer_locations":["Lung"],"collection_page_accessibility":"Public","publications_related":"","version_change_log_archived":"<h3>Version 2 (Current): Updated 2016\/10\/19<\/h3><p>Any download of this dataset prior to October 18 2016 contains data that was updated after that date by the investigators. It is recommended that you download a fresh copy before applying your analysis.<\/p><table><colgroup> <col \/> <col \/> <\/colgroup><tbody><tr><th>Data Type<\/th><th>Download all or Query\/Filter<\/th><\/tr><tr><td>Images (DICOM, 183GB)<\/td><td><div><p><a href=\"\/wp-content\/uploads\/doiJNLP-Y71kLpdQ.tcia\" download=\"doiJNLP-Y71kLpdQ.tcia\"><button><i><\/i> Download<\/button><\/a>\u00a0 <a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=4D-Lung\"><button><i><\/i> Search<\/button><\/a>\u00a0 (Download requires\u00a0the <a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a> .)<\/p><\/div><\/td><\/tr><\/tbody><\/table><h3>Version 1 : 2015\/09\/14<\/h3><table><colgroup> <col \/> <col \/> <\/colgroup><tbody><tr><th colspan=\"1\">Data Type<\/th><th colspan=\"1\">Download all or Query\/Filter<\/th><\/tr><tr><td colspan=\"1\">Images (DICOM, 183GB)<\/td><td colspan=\"1\"><div><p><a href=\"\/wp-content\/uploads\/doiJNLP-Y71kLpdQ.tcia\" download=\"doiJNLP-Y71kLpdQ.tcia\"><button><i><\/i> Download<\/button><\/a>\u00a0<\/p><p>(Download requires\u00a0the <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\u00a0<a href=\"https:\/\/commons.datacite.org\/doi.org\/10.7937\/K9\/TCIA.2016.ELN8YGLE\">a list of publications<\/a>\u00a0that leveraged this dataset. 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":"2","collection_title":"Data from 4D Lung Imaging of NSCLC Patients","date_updated":"2016-10-19","related_collection":false,"subjects":"20","analysis_results":"","collection_short_title":"4D-Lung","data_types":["CT","RTSTRUCT"],"version_change_log":"Any download of this dataset prior to October 18 2016 contains data that was updated after that date by the investigators. It is recommended that you download a fresh copy before applying your analysis.","collection_browse_title":"4D-Lung","detailed_description":"","supporting_data":["Image Analyses"],"collection_featured_image":false,"collection_summary":"<p>This data collection consists of images acquired during chemoradiotherapy of 20 locally-advanced, non-small cell lung cancer patients. The images include four-dimensional (4D) fan beam (4D-FBCT) and 4D cone beam CT (4D-CBCT). All patients underwent concurrent radiochemotherapy to a total dose of 64.8-70\u00a0Gy using daily 1.8 or 2\u00a0Gy fractions.\u00a0<\/p><p>4D-FBCT images were acquired\u00a0on a 16-slice helical CT scanner (Brilliance Big Bore, Philips Medical Systems, Andover, MA) as respiration-correlated CTs with 10 breathing phases (0 to 90%, phase-based binning) and 3 mm slice thickness. 4D-FBCT images were acquired during simulation, prior to therapy, and used for therapy planning. In 14 of the 20 subjects, 4D-FBCTs were also acquired on the same scanner weekly during therapy.\u00a04D-CBCT images were acquired\u00a0on a commercial CBCT scanner (On-Board Imager\u2122, Varian Medical Systems, Inc.). An external surrogate (Real-time Position Management, Varian Medical Systems, Inc.) was integrated into the CBCT acquisition system to stamp each CBCT projection with the surrogate respiratory signal through in-house software and hardware tools. Approximately 2500 projections were acquired over a period of 8-10 minutes in half-fan mode with half bow-tie filter. The technique was 125 kVp, 20 mA, and 20 ms in a single 360\u00b0 slow gantry arc. Using the external surrogate, the CBCT projections were sorted into 10 breathing phases (0 to 90%, phase-based binning) and reconstructed with an in-house FDK reconstruction algorithm.<\/p><p>Audio-visual biofeedback was performed for all 4D-FBCT and 4D-CBCT acquisitions in all subjects.\u00a0A single Radiation Oncologist delineated targets and organs at risk in all 4D-FBCT and a limited number of 4D-CBCT images, on all 10 phases per scan.\u00a0Seven of the subjects had gold coils implanted as fiducial markers in or near the tumor.\u00a0<\/p><p>The dataset is most fully described in detail in Balik et al.<sup>1\u00a0 <\/sup>Seven of the subjects had gold coils implanted as fiducial markers in or near the tumor. The implantation procedure and details of marker location are described in detail in Roman et al.<sup>2<\/sup><\/p><p>References<\/p><div><p><sup>1<\/sup> <a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3647023\/\">S. Balik et al., \u201cEvaluation of 4-Dimensional Computed Tomography to 4-Dimensional Cone-Beam Computed Tomography Deformable Image Registration for Lung Cancer Adaptive Radiation Therapy.\u201d Int. J. Radiat. Oncol. Biol. Phys.\u00a0<strong>86<\/strong>, 372\u20139 (2013) PMCID: PMC3647023.<\/a><\/p><p><sup>2<\/sup> <a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22391105\">N.O. Roman, W. Shepherd, N. Mukhopadhyay, G.D. Hugo, and E. Weiss, \u201cInterfractional Positional Variability of Fiducial Markers and Primary Tumors in Locally Advanced Non-Small-Cell Lung Cancer during Audiovisual Biofeedback Radiotherapy.\u201d Int. J. Radiat. Oncol. Biol. Phys.\u00a0<strong>83<\/strong>, 1566\u201372 (2012).<\/a><\/p><\/div>","collection_acknowledgements":"<p>Data collection and analysis was supported by NIH\u00a0P01CA116602.<\/p>","collection_funding":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/42113","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\/42113\/revisions"}],"predecessor-version":[{"id":48563,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/42113\/revisions\/48563"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=42113"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}