{"id":9055,"date":"2020-10-14T14:55:01","date_gmt":"2020-10-14T12:55:01","guid":{"rendered":"https:\/\/www.endoscopy-campus.com\/?post_type=ec-news&#038;p=9055"},"modified":"2020-10-14T14:55:02","modified_gmt":"2020-10-14T12:55:02","slug":"artificial-intelligence-system-outperforms-guideline-predictive-criteria-for-lymph-node-metastasis-in-t1-cancers","status":"publish","type":"ec-news","link":"https:\/\/www.endoscopy-campus.com\/en\/ec-news\/artificial-intelligence-system-outperforms-guideline-predictive-criteria-for-lymph-node-metastasis-in-t1-cancers\/","title":{"rendered":"Artificial Intelligence System Outperforms Guideline Predictive Criteria for Lymph Node Metastasis in T1 Cancers"},"content":{"rendered":"\n<p>In a study from 7 centers in Japan, a deep learning artificial intelligence (AI) program trained on 3134 T1 colorectal cancers (CRCs) from 6 Japanese hospitals was tested in 939 T1 CRCs from a seventh hospital as the validation cohort. The model learned from 8 factors: age, sex, tumor size, location, morphology, lymphatic invasion, vascular invasion, and histologic grade.<\/p>\n\n\n\n<p>Compared to U.S. guideline predictors for lymph node metastasis (histologic grade and lymphovascular invasion), the model in the training cohort had an area under the curve of 0.78 versus 0.67 for the guideline. In the validation cohort, the AUC was 0.83 with the model compared to 0.73 with the guideline (<em>P<\/em>&lt;.001). The model was also superior in the group undergoing endoscopic resection only.<\/p>\n\n\n\n<p>Similarly, the model outperformed the Japanese guidelines, which include factors such as tumor budding and submucosal invasion depth.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In a study from 7 centers in Japan, a deep learning artificial intelligence (AI) program trained on 3134 T1 colorectal cancers (CRCs) from 6 Japanese hospitals was tested in 939 T1 CRCs from a seventh hospital as the validation cohort. The model learned from 8 factors: age, sex, tumor size, location, morphology, lymphatic invasion, vascular &#8230; <a title=\"Artificial Intelligence System Outperforms Guideline Predictive Criteria for Lymph Node Metastasis in T1 Cancers\" class=\"read-more\" href=\"https:\/\/www.endoscopy-campus.com\/en\/ec-news\/artificial-intelligence-system-outperforms-guideline-predictive-criteria-for-lymph-node-metastasis-in-t1-cancers\/\" aria-label=\"Read more about Artificial Intelligence System Outperforms Guideline Predictive Criteria for Lymph Node Metastasis in T1 Cancers\">Read more<\/a><\/p>\n","protected":false},"template":"","categories":[1768,1769],"tags":[1885,2058,1343,2143],"class_list":["post-9055","ec-news","type-ec-news","status-publish","hentry","category-asge-journal-scan","category-asge-kolon","tag-ai","tag-colon-2","tag-crc","tag-t1"],"_links":{"self":[{"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/ec-news\/9055","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/ec-news"}],"about":[{"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/types\/ec-news"}],"wp:attachment":[{"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/media?parent=9055"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/categories?post=9055"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/tags?post=9055"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}