{"id":116341,"date":"2020-11-26T07:23:04","date_gmt":"2020-11-26T15:23:04","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/11\/deep-learning-model-enables-rapid-lymphoma-detection-in-pet-ct-images"},"modified":"2020-11-26T07:23:04","modified_gmt":"2020-11-26T15:23:04","slug":"deep-learning-model-enables-rapid-lymphoma-detection-in-pet-ct-images","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/11\/deep-learning-model-enables-rapid-lymphoma-detection-in-pet-ct-images","title":{"rendered":"Deep-learning model enables rapid lymphoma detection in PET\/CT images"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/deep-learning-model-enables-rapid-lymphoma-detection-in-pet-ct-images.jpg\"><\/a><\/p>\n<p>Whole-body positron emission tomography combined with computed tomography (PET\/CT) is a cornerstone in the management of lymphoma (cancer in the lymphatic system). PET\/CT scans are used to diagnose disease and then to monitor how well patients respond to therapy. However, accurately classifying every single lymph node in a scan as healthy or cancerous is a complex and time-consuming process. Because of this, detailed quantitative treatment monitoring is often not feasible in clinical day-to-day practice.<\/p>\n<p>Researchers at the <a href=\"https:\/\/www.wisc.edu\/\">University of Wisconsin-Madison<\/a> have recently developed a deep-learning model that can perform this task automatically. This could free up valuable physician time and make quantitative PET\/CT treatment monitoring possible for a larger number of patients.<\/p>\n<p>To acquire PET\/CT scans, patients are injected with a sugar molecule marked with radioactive fluorine-18 (<sup>18 <\/sup>F-fluorodeoxyglucose). When the fluorine atom decays, it emits a positron that instantly annihilates with an electron in its immediate vicinity. This annihilation process emits two back-to-back photons, which the scanner detects and uses to infer the location of the radioactive decay.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Whole-body positron emission tomography combined with computed tomography (PET\/CT) is a cornerstone in the management of lymphoma (cancer in the lymphatic system). PET\/CT scans are used to diagnose disease and then to monitor how well patients respond to therapy. However, accurately classifying every single lymph node in a scan as healthy or cancerous is a [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-116341","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/116341","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=116341"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/116341\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=116341"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=116341"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=116341"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}