{"id":7532,"date":"2024-11-25T09:52:39","date_gmt":"2024-11-25T14:52:39","guid":{"rendered":"https:\/\/www.med.unc.edu\/radiology\/?p=7532"},"modified":"2024-11-25T09:52:39","modified_gmt":"2024-11-25T14:52:39","slug":"henderson-awarded-noa-for-new-5-year-r01","status":"publish","type":"post","link":"https:\/\/www.med.unc.edu\/radiology\/2024\/11\/henderson-awarded-noa-for-new-5-year-r01\/","title":{"rendered":"Henderson Awarded NOA for New 5-year R01"},"content":{"rendered":"<h4>Congratulations, Louise Henderson, PhD, Professor and Program Co-Lead of Cancer Epidemiology at the Lineberger Comprehensive Cancer Center. Louise was awarded an NOA for her new 5-year R01 titled, &#8220;OPTimizing surveillance in lung cancer survivors with novel IMAging biomarkers and deep-learning (OPTIMAL)&#8221; with a start date of 1\/1\/2025 and year 1 total costs = $968,999. This is a collaboration with Kaiser Permanente Northern California (MPI: Lori Sakoda), Mass General (MPI: Florian Fintelmann), and MIT (co-I: Regina Barzilay).<\/h4>\n<h4><strong>Abstract<\/strong><\/h4>\n<p>Over the next decade, the number of lung cancer survivors is expected to rise considerably in\u00a0the United States, due to an aging\u00a0and growing\u00a0population and a shift toward more early-stage lung cancers detected from increased lung cancer screening\u00a0uptake. After treatment with curative-intent surgery, however, many survivors of early-stage non-small cell lung cancer (NSCLC) remain\u00a0at high risk\u00a0for lung cancer recurrence or second primary lung cancer (SPLC). To detect recurrence and SPLC at their earliest\u00a0stages, postoperative imaging surveillance with chest computed tomography (CT) is generally recommended\u00a0every six months for the first two years and annually thereafter. Yet, this\u00a0clinical\u00a0recommendation is based on limited evidence of benefits and harms, with no consideration for individual differences in risk of recurrence or SPLC. Routine chest CT\u00a0images\u00a0are a potentially useful, but largely untapped,\u00a0data source for predicting\u00a0risk of recurrence or SPLC to tailor surveillance among lung cancer survivors. Chest CT scans contain specific imaging biomarkers of body composition\u00a0and cardiopulmonary health, as well as\u00a0non-specific imaging data that are amenable to analysis using deep learning, all\u00a0ascertainable without additional\u00a0intervention, risks,\u00a0or costs\u00a0to survivors. Studies including ours suggest that skeletal muscle and adipose\u00a0tissue measured from CT scans can\u00a0predict outcomes after NSCLC resection. In the context of lung cancer screening, we have also developed\u00a0Sybil,\u00a0a validated deep-learning model\u00a0that uses information from a single low-dose chest CT scan,\u00a0to accurately\u00a0predict future incident lung cancer risk. Our <b>overarching goal <\/b>is to optimize\u00a0survivorship\u00a0of early-stage NSCLC\u00a0following curative-intent surgery by incorporating a risk-based surveillance strategy\u00a0that leverages routinely available imaging data.\u00a0Our multidisciplinary team proposes to examine 12,000 individuals treated surgically for\u00a0stage I or II NSCLC\u00a0from 2015 to 2025,\u00a0with follow-up for outcomes through 2027, using\u00a0longitudinal electronic health records\u00a0and serial chest CT scans from three healthcare systems that serve distinct and diverse populations.\u00a0First, we will determine\u00a0real-world practice patterns\u00a0and effectiveness\u00a0of imaging surveillance, overall and by individual characteristics.\u00a0Second, we will develop and validate risk\u00a0prediction models for lung cancer recurrence and SPLC that incorporate imaging biomarkers of body composition\u00a0and of vascular\u00a0and\u00a0pulmonary health derived from preoperative\u00a0and postoperative surveillance CT scans. Lastly, we will assess and then optimize Sybil\u2019s performance in predicting lung cancer recurrence\u00a0or SPLC\u00a0using postoperative surveillance CT scans. Overall, the\u00a0proposed study\u00a0will advance knowledge about\u00a0the promising potential for personalized risk-stratified surveillance of recurrent or new disease using novel imaging-driven methods among\u00a0the growing population\u00a0of lung cancer survivors.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Congratulations, Louise Henderson, PhD, Professor and Program Co-Lead of Cancer Epidemiology at the Lineberger Comprehensive Cancer Center. Louise was awarded an NOA for her new 5-year R01 titled, &#8220;OPTimizing surveillance in lung cancer survivors with novel IMAging biomarkers and deep-learning (OPTIMAL)&#8221; with a start date of 1\/1\/2025 and year 1 total costs = $968,999. This &hellip; <a href=\"https:\/\/www.med.unc.edu\/radiology\/2024\/11\/henderson-awarded-noa-for-new-5-year-r01\/\" aria-label=\"Read more about Henderson Awarded NOA for New 5-year R01\">Read more<\/a><\/p>\n","protected":false},"author":83776,"featured_media":7346,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"layout":"","cellInformation":"","apiCallInformation":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[83,91],"tags":[],"class_list":["post-7532","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-department-news","category-homepage-news","odd"],"acf":[],"featured_image":"https:\/\/www.med.unc.edu\/radiology\/wp-content\/uploads\/sites\/1384\/2024\/07\/henderson-published-in-jama-internal-medicine-image2-scaled.jpeg","featured_image_medium":"https:\/\/www.med.unc.edu\/radiology\/wp-content\/uploads\/sites\/1384\/2024\/07\/henderson-published-in-jama-internal-medicine-image2-300x200.jpeg","featured_image_medium_large":"https:\/\/www.med.unc.edu\/radiology\/wp-content\/uploads\/sites\/1384\/2024\/07\/henderson-published-in-jama-internal-medicine-image2-768x512.jpeg","featured_image_large":"https:\/\/www.med.unc.edu\/radiology\/wp-content\/uploads\/sites\/1384\/2024\/07\/henderson-published-in-jama-internal-medicine-image2-1024x683.jpeg","featured_image_thumbnail":"https:\/\/www.med.unc.edu\/radiology\/wp-content\/uploads\/sites\/1384\/2024\/07\/henderson-published-in-jama-internal-medicine-image2-150x150.jpeg","featured_image_alt":"Louise Henderson headshot, white female standing in front of glass windows, shoulder-length brown hair, blue eyes, smiling at the camera in a dark gray jacket and blouse.","category_details":[{"name":"Department News","link":"https:\/\/www.med.unc.edu\/radiology\/category\/department-news\/"},{"name":"Homepage News","link":"https:\/\/www.med.unc.edu\/radiology\/category\/homepage-news\/"}],"tag_details":[],"_links_to":[],"_links_to_target":[],"_links":{"self":[{"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/posts\/7532","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/users\/83776"}],"replies":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/comments?post=7532"}],"version-history":[{"count":0,"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/posts\/7532\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/media\/7346"}],"wp:attachment":[{"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/media?parent=7532"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/categories?post=7532"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.med.unc.edu\/radiology\/wp-json\/wp\/v2\/tags?post=7532"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}