{"id":43389,"date":"2023-11-20T03:27:11","date_gmt":"2023-11-20T09:27:11","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/collection\/lungct-diagnosis\/"},"modified":"2023-12-15T14:00:18","modified_gmt":"2023-12-15T20:00:18","slug":"lungct-diagnosis","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/lungct-diagnosis\/","title":{"rendered":"LUNGCT-DIAGNOSIS"},"featured_media":0,"template":"","class_list":["post-43389","tcia_collection","type-tcia_collection","status-publish"],"cancer_types":["Lung Cancer"],"citations":[43377,43379,9225],"collection_doi":"10.7937\/K9\/TCIA.2015.A6V7JIWX","collection_download_info":"","collection_downloads":[43381,43383,43385,43387],"versions":false,"additional_resources":"<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>\n<li><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=lungct_diagnosis\">Imaging Data Commons (IDC)<\/a> (Imaging Data)<\/li>","cancer_locations":["Lung"],"collection_page_accessibility":"Public","publications_related":"","version_change_log_archived":"<h3>Version 1 (Current): Updated 2014\/12\/30<\/h3>\n<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, 2.5GB)<\/td><td colspan=\"1\"><div><p>\n<a download=\"TCIA_LungCT-Diagnosis_06-22-2015.tcia\" href=\"\/wp-content\/uploads\/TCIA_LungCT-Diagnosis_06-22-2015.tcia\"><button><i><\/i> Download<\/button><\/a>\u00a0\n\n<a href=\"https:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=LungCT-Diagnosis\"><button><i><\/i> Search<\/button><\/a>\u00a0\n<br\/><\/p><p>(Download requires\u00a0the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>)<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\">DICOM Metadata Digest (CSV)<\/td><td colspan=\"1\"><div><p>\n<a download=\"LungCT-Diagnosis_MetaData.csv\" href=\"\/wp-content\/uploads\/LungCT-Diagnosis_MetaData.csv\"><button><i><\/i> Download<\/button><\/a>\u00a0\n<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\">Representative Tumor Slices (XLS)<\/td><td colspan=\"1\"><div><p>\n<a download=\"Representative-Tumor-Slices.xlsx\" href=\"\/wp-content\/uploads\/Representative-Tumor-Slices.xlsx\"><button><i><\/i> Download<\/button><\/a>\u00a0\n<\/p><\/div><\/td><\/tr><tr><td colspan=\"1\">Clinical Data (DOC)<\/td><td colspan=\"1\"><div><p>\n<a download=\"LungCT-Diagnosis_SurvivalData_journal.pone_.0118261.s010.docx\" href=\"\/wp-content\/uploads\/LungCT-Diagnosis_SurvivalData_journal.pone_.0118261.s010.docx\"><button><i><\/i> Download<\/button><\/a>\u00a0\n<\/p><\/div><\/td><\/tr><\/tbody><\/table>","collection_status":"Complete","publications_using":"<p>TCIA maintains<a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\"> a list of publications<\/a> that leverage our data.\u00a0 If you have a publication you'd like to add, please<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\"> contact the TCIA Helpdesk<\/a>.<\/p>","related_analysis_results":[45769],"species":["Human"],"version_number":"1","collection_title":"Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma","date_updated":"2014-12-30","related_collection":false,"subjects":"61","analysis_results":"<p>TCIA encourages the community to <a href=\"http:\/\/www.cancerimagingarchive.net\/analysis-results\/\">publish your analyses of our datasets<\/a>. Below is a list of such third party analyses published using this Collection:<\/p>\n<ul><li><a href=\"https:\/\/cancerimagingarchive.net\/analysis-result\/luad-ct-survival\/\" target=\"_blank\">Long and Short Survival in Adenocarcinoma Lung CTs (LUAD-CT-Survival)<\/a><\/li><\/ul>","collection_short_title":"LungCT-Diagnosis","data_types":["CT"],"version_change_log":"","collection_browse_title":"LungCT-Diagnosis","detailed_description":"<p>TCIA DICOM Subject ID, SOP Instance UID, Instance Number, and Image Position (Patient) X-Y-Z \u00a0are noted in\u00a0<a data-linked-resource-container-id=\"19039728\" data-linked-resource-container-version=\"42\" data-linked-resource-content-type=\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\" data-linked-resource-default-alias=\"Representative-Tumor-Slices.xlsx\" data-linked-resource-id=\"20807755\" data-linked-resource-type=\"attachment\" data-linked-resource-version=\"1\" data-nice-type=\"Excel Spreadsheet\" download=\"Representative-Tumor-Slices.xlsx\" href=\"\/wp-content\/uploads\/Representative-Tumor-Slices.xlsx\">Representative-Tumor-Slices.xlsx<\/a><\/p>\n<p>The accompanying data\u00a0\u00a0are\u00a0<a data-linked-resource-container-id=\"19039728\" data-linked-resource-container-version=\"42\" data-linked-resource-content-type=\"application\/vnd.openxmlformats-officedocument.wordprocessingml.document\" data-linked-resource-default-alias=\"LungCT-Diagnosis_SurvivalData_journal.pone.0118261.s010.docx\" data-linked-resource-id=\"22643013\" data-linked-resource-type=\"attachment\" data-linked-resource-version=\"1\" data-nice-type=\"Word Document\" download=\"LungCT-Diagnosis_SurvivalData_journal.pone_.0118261.s010.docx\" href=\"\/wp-content\/uploads\/LungCT-Diagnosis_SurvivalData_journal.pone_.0118261.s010.docx\">survival data (status: dead or alive, survival time in months) and pathological stage (TNM)<\/a>. \u00a0<\/p>","supporting_data":["Clinical","Image Analyses"],"collection_featured_image":false,"collection_summary":"<p>All the images are diagnostic contrast enhanced CT scans. The images were retrospectively acquired, to ensure sufficient patient follow-up. Slice thickness is variable : between 3 and 6 mm. All images were done at diagnosis and prior to surgery. The objective of the study was to extract prognostic image features that will describe lung adenocarcinomas and will associate with overall survival. \u00a0<\/p>\n<p>Two CT features were developed to quantitatively describe lung adenocarcinomas by scoring tumor shape complexity and intratumor density variation using routinely obtained diagnostic CT scans. The features systematically scored tumors and identified imaging phenotypes which exhibited survival differences. The features were extracted from routinely obtained CT images and were reproducible and stable despite the inherent clinical image acquisition variability. Our results suggest that quantitative imaging features can be used as an additional diagnostic tool in management of lung adenocarcinomas. More information is available in the related publication (see Citation tab below).<\/p>","collection_acknowledgements":"<p>We would like to acknowledge the individual and institution that have provided data for this collection:<\/p>\n<ul><li><strong>Moffitt Cancer Center<\/strong>\u00a0(Tampa Florida)<strong>\u00a0-\u00a0<\/strong>Special thanks to<strong>\u00a0Olya Stringfield, PhD<\/strong>\u00a0 from the\u00a0<strong>Department of Cancer Imaging and Metabolism<\/strong><strong>.<\/strong><\/li><\/ul>","collection_funding":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43389","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\/43389\/revisions"}],"predecessor-version":[{"id":47413,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43389\/revisions\/47413"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=43389"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}