{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:12:03Z","timestamp":1789517523211,"version":"build-2803163510"},"reference-count":27,"publisher":"Georg Thieme Verlag KG","issue":"11","license":[{"start":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T00:00:00Z","timestamp":1727654400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Department of Science & Technology of Sichuan Province","award":["No. 2024YFFK0220"],"award-info":[{"award-number":["No. 2024YFFK0220"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Endosc Int Open"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n            Background and study aims Endoscopic ultrasound (EUS) is vital for early pancreatic cancer diagnosis. Advances in artificial intelligence (AI), especially deep learning, have improved medical image analysis. We developed and validated the Modified Faster R-CNN (M-F-RCNN), an AI algorithm using EUS images to assist in diagnosing pancreatic cancer.<\/jats:p><jats:p>\n            Methods We collected EUS images from 155 patients across three endoscopy centers from July 2022 to July 2023. M-F-RCNN development involved enhancing feature information through data preprocessing and utilizing an improved Faster R-CNN model to identify cancerous regions. Its diagnostic capabilities were validated against an external set of 1,000 EUS images. In addition, five EUS doctors participated in a study comparing the M-F-RCNN model's performance with that of human experts, assessing diagnostic skill improvements with AI assistance.<\/jats:p><jats:p>\n            Results Internally, the M-F-RCNN model surpassed traditional algorithms with an average precision of 97.35%, accuracy of 96.49%, and recall rate of 5.44%. In external validation, its sensitivity, specificity, and accuracy were 91.7%, 91.5%, and 91.6%, respectively, outperforming non-expert physicians. The model also significantly enhanced the diagnostic skills of doctors.<\/jats:p><jats:p>\n            Conclusions: The M-F-RCNN model shows exceptional performance in diagnosing pancreatic cancer via EUS images, greatly improving diagnostic accuracy and efficiency, thus enhancing physician proficiency and reducing diagnostic errors.<\/jats:p>","DOI":"10.1055\/a-2422-9214","type":"journal-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T22:59:03Z","timestamp":1727737143000},"page":"E1277-E1284","source":"Crossref","is-referenced-by-count":4,"title":["Enhancing physician support in pancreatic cancer diagnosis: New M-F-RCNN artificial intelligence model using endoscopic ultrasound"],"prefix":"10.1055","volume":"12","author":[{"given":"Shan-shan","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology, Sichuan Provincial People\u02bcs Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bowen","family":"Duan","sequence":"additional","affiliation":[{"name":"Endoscopy, Sichuan Cancer Hospital and Institute, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology, Sichuan Provincial People\u02bcs Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danping","family":"Huang","sequence":"additional","affiliation":[{"name":"Engineering and Science, Sichuan University of Science and Engineering Artificial Intelligence Key Laboratory of Sichuan Province, Yibin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaogang","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology, Sichuan Provincial People\u02bcs Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shihao","family":"Gou","sequence":"additional","affiliation":[{"name":"Engineering and Science, Sichuan University of Science and Engineering Artificial Intelligence Key Laboratory of Sichuan Province, Yibin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaochen","family":"Zhao","sequence":"additional","affiliation":[{"name":"Hepatobiliary Pancreatic Surgery, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Hou","sequence":"additional","affiliation":[{"name":"Digestive Endoscopy Center of the Dongyuan, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shirong","family":"Tan","sequence":"additional","affiliation":[{"name":"Digestive Endoscopy Center of the Dongyuan, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"lan ying","family":"He","sequence":"additional","affiliation":[{"name":"Gastroenterology, Chongqing University Cancer Hospital, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, Chengdu University of Traditional Chinese Medicine Affiliated Fifth People's hospital, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Xie","sequence":"additional","affiliation":[{"name":"Gastroenterology, The First People's Hospital of Longquanyi District Chengdu, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology, Sichuan Provincial People\u02bcs Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-hui","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology, Sichuan Provincial People\u02bcs Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2024,11,7]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"209","DOI":"10.3322\/caac.21660","article-title":"Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries","volume":"71","author":"H Sung","year":"2021","journal-title":"CA Cancer J Clin"},{"key":"ref2","first-page":"876","article-title":"Burden of pancreatic cancer: from epidemiology to practice","volume":"19","author":"N Khalaf","year":"2021","journal-title":"Clin Gastroenterol Hepatol Off Clin Pract J Am Gastroenterol Assoc"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1055\/a-1784-1661","article-title":"Rate of pancreatic cancer following a negative endoscopic ultrasound and associated factors","volume":"54","author":"D King","year":"2022","journal-title":"Endoscopy"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"280","DOI":"10.4103\/EUS-D-20-00212","article-title":"The role of EUS in diagnosing focal autoimmune pancreatitis and differentiating it from pancreatic cancer","volume":"10","author":"T Guo","year":"2021","journal-title":"Endosc Ultrasound"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1080\/17474124.2022.2138856","article-title":"Evaluating the role of endoscopic ultrasound in pancreatitis","volume":"16","author":"SS Rana","year":"2022","journal-title":"Expert Rev Gastroenterol Hepatol"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1158\/2159-8290.CD-21-0090","article-title":"Artificial intelligence in cancer research and precision medicine","volume":"11","author":"B Bhinder","year":"2021","journal-title":"Cancer Discov"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1038\/s41580-021-00407-0","article-title":"A guide to machine learning for biologists","volume":"23","author":"JG Greener","year":"2022","journal-title":"Nat Rev Mol Cell Biol"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1186\/s13045-023-01456-y","article-title":"The artificial intelligence and machine learning in lung cancer immunotherapy","volume":"16","author":"Q Gao","year":"2023","journal-title":"J Hematol OncolJ Hematol Oncol"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1038\/s41551-022-00860-y","article-title":"Detection of ovarian cancer via the spectral fingerprinting of quantum-defect-modified carbon nanotubes in serum by machine learning","volume":"6","author":"M Kim","year":"2022","journal-title":"Nat Biomed Eng"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1055\/a-1873-7920","article-title":"Artificial intelligence using deep learning analysis of endoscopic ultrasonography images for the differential diagnosis of pancreatic masses","volume":"55","author":"T Kuwahara","year":"2023","journal-title":"Endoscopy"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"e63820","DOI":"10.1371\/journal.pone.0063820","article-title":"Differentiation of pancreatic cancer and chronic pancreatitis using computer-aided diagnosis of endoscopic ultrasound (EUS) Images: A diagnostic test","volume":"8","author":"M Zhu","year":"2013","journal-title":"PLoS ONE"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"675","DOI":"10.21037\/hbsn-21-43","article-title":"Automated liver tumor detection in abdominal ultrasonography with a modified faster region-based convolutional neural networks (Faster R-CNN) architecture","volume":"11","author":"K Karako","year":"2022","journal-title":"Hepatobiliary Surg Nutr"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.1109\/TPAMI.2014.2300479","article-title":"Fast Feature pyramids for object detection","volume":"36","author":"P Dollar","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"3111","DOI":"10.3390\/s19143111","article-title":"Dual-resolution dual-path convolutional neural networks for fast object detection","volume":"19","author":"J Pan","year":"2019","journal-title":"Sensors"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume":"39","author":"S Ren","year":"2017","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1007\/s10916-019-1457-4","article-title":"Urine sediment recognition method based on multi-view deep residual learning in microscopic image","volume":"43","author":"X Zhang","year":"2019","journal-title":"J Med Syst"},{"key":"ref17","first-page":"3139","article-title":"Generalized focal loss: Towards efficient representation learning for dense object\n          detection","volume":"45","author":"X Li","year":"2023","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1109\/TPAMI.2018.2858826","article-title":"Focal loss for dense object detection","volume":"42","author":"T-Y Lin","year":"2020","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"3033","DOI":"10.1038\/s41591-023-02640-w","article-title":"Large-scale pancreatic cancer detection via non-contrast CT and deep learning","volume":"29","author":"K Cao","year":"2023","journal-title":"Nat Med"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1002\/uog.24869","article-title":"Real-time identification of fetal anomalies on ultrasound using artificial intelligence: what\u2019s next?","volume":"59","author":"L Drukker","year":"2022","journal-title":"Ultrasound Obstet Gynecol"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1038\/s41571-021-00560-7","article-title":"Predicting cancer outcomes with radiomics and artificial intelligence in radiology","volume":"19","author":"K Bera","year":"2022","journal-title":"Nat Rev Clin Oncol"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1136\/gutjnl-2020-322821","article-title":"Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis","volume":"70","author":"NB Marya","year":"2021","journal-title":"Gut"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1622","DOI":"10.1109\/TMI.2018.2889736","article-title":"Design and demonstration of a configurable imaging platform for combined laser, ultrasound, and elasticity imaging","volume":"38","author":"H Yoon","year":"2019","journal-title":"IEEE Trans Med Imaging"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"107337","DOI":"10.1016\/j.compbiomed.2023.107337","article-title":"Self-supervised dual-head attentional bootstrap learning network for prostate cancer screening in transrectal ultrasound images","volume":"165","author":"X Lu","year":"2023","journal-title":"Comput Biol Med"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"245","DOI":"10.3390\/s22010245","article-title":"Automatic pancreatic cyst lesion segmentation on EUS images using a deep-learning approach","volume":"22","author":"S Oh","year":"2021","journal-title":"Sensors"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"50","DOI":"10.4103\/EUS-D-21-00131","article-title":"The value of artificial intelligence techniques in predicting pancreatic ductal adenocarcinoma with EUS images: A meta-analysis and systematic review","volume":"12","author":"H Yin","year":"2023","journal-title":"Endosc Ultrasound"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1186\/s12916-022-02258-8","article-title":"Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis","volume":"20","author":"T Tong","year":"2022","journal-title":"BMC Med"}],"container-title":["Endoscopy International Open"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/a-2422-9214.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T00:15:30Z","timestamp":1731024930000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/a-2422-9214"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,30]]},"references-count":27,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2024,11,7]]},"published-print":{"date-parts":[[2024,11]]}},"URL":"https:\/\/doi.org\/10.1055\/a-2422-9214","archive":["Portico","CLOCKSS"],"relation":{},"ISSN":["2364-3722","2196-9736"],"issn-type":[{"value":"2364-3722","type":"print"},{"value":"2196-9736","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2024,9,30]]},"published":{"date-parts":[[2024,9,30]]}}}