{"id":67938,"date":"2024-07-31T10:49:19","date_gmt":"2024-07-31T14:49:19","guid":{"rendered":"https:\/\/www.med.unc.edu\/medicine\/?p=67938"},"modified":"2024-07-31T15:48:51","modified_gmt":"2024-07-31T19:48:51","slug":"dr-akulia-leading-study-of-ai-based-image-analysis-module-for-lung-cancer","status":"publish","type":"post","link":"https:\/\/www.med.unc.edu\/medicine\/news\/dr-akulia-leading-study-of-ai-based-image-analysis-module-for-lung-cancer\/","title":{"rendered":"Dr. Akulian Leading Study of AI-Based Image Analysis Module for Lung Cancer"},"content":{"rendered":"<p><i><span style=\"font-weight: 400\">Jason Akulian, MD, PhD, associate professor of medicine in the UNC Division of Pulmonary &amp; Critical Care Medicine, will lead research efforts aimed to advance AI-driven lung cancer detection through bronchoscopy.\u00a0<\/span><\/i><\/p>\n<hr \/>\n<p><span style=\"font-weight: 400\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-23093 alignright\" src=\"https:\/\/www.med.unc.edu\/medicine\/wp-content\/uploads\/sites\/945\/2019\/02\/jason-akulian.png\" alt=\"\" width=\"182\" height=\"242\" \/>Researchers at the University of North Carolina will study an AI-based image analysis module for lung cancer through the ON-SITE study. The multicenter study in bronchoscopy combines Stimulated Raman Histology with Artificial Intelligence to enable rapid lung cancer detection and has enrolled its first patient.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The ON-SITE study aims to develop and validate an AI-based image analysis module for the NIO\u00ae Laser Imaging System, created by Invenio Imaging, that is intended to assist physicians in the detection of cancer in bronchoscopic lung biopsies in situations where rapid-on-site tissue evaluation (ROSE) is not available for the sample type.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The prevalence and mortality of lung cancer have led to large-scale screening efforts in high-risk patients. Despite significant investment in minimally-invasive biopsy technology, obtaining adequate tissue for biomarker and treatment determination remains a challenge. For this reason, bronchoscopy guidelines recommend ROSE for lung biopsies.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cROSE requires that a cytologist or highly trained cytotechnician be physically present in the procedure room, and thus it is not available at many centers performing lung biopsy due to resource limitations,\u201d said Jason Akulian, MD, PhD, UNC site PI.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">The new technology will allow biopsies to be completed in the treatment room by OR-staff, as sample preparation will not require staining or section. Additionally, the NIO\u00ae Slides are also able to be recalled for later analysis.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cWhile still investigational, the promise of fast, in-room, accurate identification of tissue that is suspicious for cancer has the potential to ultimately lead to improved outcomes, a beneficial cost\/benefit profile, and personalized treatments,\u201d said Gustavo Cumbo-Nacheli, MD, pulmonologist at Corewell Health and one of the site PIs for the ON-SITE study.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The hope is the study will lead to FDA approval of the image analysis module for assisting physicians in identifying cells or tissue morphology that is suspicious for cancer in lung biopsies.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Other participating sites: The University of Texas MD Anderson Cancer Center, Corewell Health,and Memorial Sloan Kettering Cancer Center.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Jason Akulian, MD, PhD, associate professor of medicine in the UNC Division of Pulmonary &amp; Critical Care Medicine, will lead research efforts aimed to advance AI-driven lung cancer detection through bronchoscopy.\u00a0 Researchers at the University of North Carolina will study an AI-based image analysis module for lung cancer through the ON-SITE study. The multicenter study &hellip; <a href=\"https:\/\/www.med.unc.edu\/medicine\/news\/dr-akulia-leading-study-of-ai-based-image-analysis-module-for-lung-cancer\/\" aria-label=\"Read more about Dr. Akulian Leading Study of AI-Based Image Analysis Module for Lung Cancer\">Read more<\/a><\/p>\n","protected":false},"author":116983,"featured_media":23093,"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":[2,102,92,583],"tags":[],"class_list":["post-67938","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-pulmonary","category-research","category-research-news","odd"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Dr. Akulian Leading Study of AI-Based Image Analysis Module for Lung Cancer | Department of Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.med.unc.edu\/medicine\/news\/dr-akulia-leading-study-of-ai-based-image-analysis-module-for-lung-cancer\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dr. Akulian Leading Study of AI-Based Image Analysis Module for Lung Cancer | Department of Medicine\" \/>\n<meta property=\"og:description\" content=\"Jason Akulian, MD, PhD, associate professor of medicine in the UNC Division of Pulmonary &amp; Critical Care Medicine, will lead research efforts aimed to advance AI-driven lung cancer detection through bronchoscopy.\u00a0 Researchers at the University of North Carolina will study an AI-based image analysis module for lung cancer through the ON-SITE study. The multicenter study &hellip; Read more\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.med.unc.edu\/medicine\/news\/dr-akulia-leading-study-of-ai-based-image-analysis-module-for-lung-cancer\/\" \/>\n<meta property=\"og:site_name\" content=\"Department of Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/UNCDeptMedicine\" \/>\n<meta property=\"article:published_time\" content=\"2024-07-31T14:49:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-07-31T19:48:51+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.med.unc.edu\/medicine\/wp-content\/uploads\/sites\/945\/2019\/02\/jason-akulian.png\" \/>\n\t<meta property=\"og:image:width\" content=\"188\" \/>\n\t<meta property=\"og:image:height\" content=\"250\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Lillian Harbison\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta 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