{"id":45769,"date":"2023-11-20T05:33:02","date_gmt":"2023-11-20T11:33:02","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/analysis-result\/luad-ct-survival\/"},"modified":"2024-10-31T12:17:07","modified_gmt":"2024-10-31T17:17:07","slug":"luad-ct-survival","status":"publish","type":"tcia_analysis_result","link":"https:\/\/stage.cancerimagingarchive.net\/analysis-result\/luad-ct-survival\/","title":{"rendered":"LUAD-CT-SURVIVAL"},"featured_media":0,"template":"","class_list":["post-45769","tcia_analysis_result","type-tcia_analysis_result","status-publish"],"cancer_types":["Lung Adenocarcinoma"],"citations":[45757,45759,45761,9225],"result_doi":"10.7937\/K9\/TCIA.2017.0tv7b9x1","result_download_info":"","result_downloads":[45763,45765],"version_change_log_archived":"Version 1 (Current): 2017\/08\/11\r\n   Data TypeDownload all or Query\/FilterImages (DICOM)  Tumor Segmentations (NIFTI)Image Features and Patient Survival (CSV)","versions":false,"additional_resources":"","cancer_locations":["Chest"],"publications_related":"The Collection authors recommend these readings to give context to this dataset","result_page_accessibility":"Public","detailed_description":"Image data is available in DICOM format. Segmentation data is available in .nii.gz format.\r\n\r\n&nbsp;\r\n\r\nLabels are available in .csv format. The first column is subject identification. The second column is survival class. \u00a0Subsequent columns are computed image features which are described in the following publications:\r\n<ul>\r\n \t<li>Paul, R., Hawkins, S., Balagurunathan, Y., Schabath, M., Gillies, R., Hall, L., &amp; Goldgof, D. (2016). <strong>Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival among Patients with Lung Adenocarcinoma.<\/strong> Tomography, 2(4), 388\u2013395. <a href=\"https:\/\/doi.org\/10.18383\/j.tom.2016.00211\">https:\/\/doi.org\/10.18383\/j.tom.2016.00211<\/a><\/li>\r\n \t<li>Hawkins, S. H., Korecki, J. N., Balagurunathan, Y., Yuhua Gu, Kumar, V., Basu, S., Hall, L. O., Goldgof, D. B., Gatenby, R. A., &amp; Gillies, R. J. (2014). <strong>Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features<\/strong>. IEEE Access, 2, 1418\u20131426. <a href=\"https:\/\/doi.org\/10.1109\/access.2014.2373335\">https:\/\/doi.org\/10.1109\/access.2014.2373335<\/a><\/li>\r\n<\/ul>","publications_using":"TCIA maintains\u00a0<a href=\"https:\/\/commons.datacite.org\/doi.org\/10.7937\/K9\/TCIA.2017.0tv7b9x1\">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>.","result_title":"Long and Short Survival in Adenocarcinoma Lung CTs","species":false,"version_number":"1","date_updated":"2017-08-11","related_collections":[43389,43327],"result_short_title":"LUAD-CT-Survival","subjects":"40","related_analysis_results":false,"result_browse_title":"Long and Short Survival in Adenocarcinoma Lung CTs (LUAD-CT-Survival)","supporting_data":["Tumor segmentations","radiomic image features"],"version_change_log":"","collections":"Below is a list of the Collections used in these analyses:\r\n<table><colgroup> <col \/> <col \/> <\/colgroup>\r\n<tbody>\r\n<tr>\r\n<th>Data Type<\/th>\r\n<th>Download all or Query\/Filter<\/th>\r\n<\/tr>\r\n<tr>\r\n<td>Original Source Images (DICOM, 1.54 GB)<\/td>\r\n<td>\r\n<div>\r\n\r\n<a href=\"\/wp-content\/uploads\/LongShortSurvivalAdenocarcinoma-doiJNLP-qOFdxYUi.tcia\" download=\"LongShortSurvivalAdenocarcinoma-doiJNLP-qOFdxYUi.tcia\"><button><i><\/i> Download<\/button><\/a>\r\n(Download requires\u00a0the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/NBIA\/Downloading+TCIA+Images\">NBIA Data Retriever<\/a>)\r\n\r\n<\/div><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<ul>\r\n \t<li><a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2015.A6V7JIWX\">LungCT-Diagnosis<\/a><\/li>\r\n \t<li><a href=\"https:\/\/doi.org\/10.7937\/K9\/TCIA.2015.NPGZYZBZ\">QIN LUNG CT<\/a><\/li>\r\n<\/ul>","result_summary":"The dataset consists of pre-surgical chest CT images of 40 subjects from the H. Lee Moffitt Cancer Center &amp; Research Institute, Tampa, Florida. The CT images were acquired by standard-of-care, contrast-enhanced CT scans among patients who had non-small cell cancer with biopsy-verified adenocarcinoma with 2 years of follow-up. A region-growing algorithm segmented the tumor with seed points that were chosen by radiologists.\r\n\r\nThe adenocarcinoma cases are divided into the upper and lower quartiles of survival. Both the lower and upper quartiles have 20 cases. The lower quartile survival timeline is 103 to 498 days while the upper quartile timeline is 1351 to 2163 days. The average survival of the lower and upper quartiles is 288 days and 1569 days respectively. The median survival for the lower and upper quartiles is 289 and 1551 days respectively. The overall mean survival time is 879 days and median survival time is 925 days. Three of these cases, QIN-LSC-0009, QIN-LSC-0014, and QIN-LSC-0064\u00a0appear in\u00a0 <a href=\"http:\/\/doi.org\/10.7937\/K9\/TCIA.2015.A6V7JIWX\">LungCT-Diagnosis<\/a> \u00a0collection, while the remaining 37 cases are from the\u00a0 <a href=\"http:\/\/doi.org\/10.7937\/K9\/TCIA.2015.NPGZYZBZ\">QIN Lung CT<\/a> \u00a0collection.","collection_downloads":[45767],"result_featured_image":false,"result_acknowledgements":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45769","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_analysis_result"}],"version-history":[{"count":1,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45769\/revisions"}],"predecessor-version":[{"id":47549,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45769\/revisions\/47549"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=45769"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}