{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,4]],"date-time":"2026-10-04T02:50:14Z","timestamp":1791082214725,"version":"4.1.0"},"reference-count":21,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,8,12]],"date-time":"2022-08-12T00:00:00Z","timestamp":1660262400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076218"],"award-info":[{"award-number":["62076218"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2019YFE0126200"],"award-info":[{"award-number":["2019YFE0126200"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["62076218"],"award-info":[{"award-number":["62076218"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2019YFE0126200"],"award-info":[{"award-number":["2019YFE0126200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Gastroenterology Research and Practice"],"published-print":{"date-parts":[[2022,8,12]]},"abstract":"<jats:p>Background and Aims. Diagnosing pediatric intussusception from ultrasound images can be a difficult task in many primary care hospitals that lack experienced radiologists. To address this challenge, this study developed an artificial intelligence- (AI-) based system for automatic detection of \u201cconcentric circles\u201d signs on ultrasound images, thereby improving the efficiency and accuracy of pediatric intussusception diagnosis. Methods. A total of 440 cases (373 pediatric intussusception and 67 normal cases) were retrospectively collected from Children\u2019s Hospital affiliated to Zhejiang University School of Medicine from January 2020 to December 2020. An improved Faster RCNN deep learning framework was used to detect \u201cconcentric circle\u201d signs. Finally, independent validation set was used to evaluate the performance of the developed AI tool. Results. The data of pediatric intussusception were divided into a training set and validation set according to the ratio of 8\u2009:\u20092, with training set (298 pediatric intussusception) and validation set (75 pediatric intussusception and 67 normal cases). In the \u201cconcentric circle\u201d detection model, the detection rate, recall, specificity, and <jats:inline-formula>\n                     <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                        <a:mi>F<\/a:mi>\n                        <a:mn>1<\/a:mn>\n                     <\/a:math>\n                  <\/jats:inline-formula> score assessed by the validation set were 92.8%, 95.0%, 92.2%, and 86.4%, respectively. Pediatric intussusception was classified by \u201cconcentric circle\u201d signs, and the accuracy, recall, specificity, and <jats:inline-formula>\n                     <c:math xmlns:c=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\">\n                        <c:mi>F<\/c:mi>\n                        <c:mn>1<\/c:mn>\n                     <\/c:math>\n                  <\/jats:inline-formula> score were 93.0%, 92.0%, 94.1%, and 93.2% on the validation set, respectively. Conclusion. The model established in this paper can realize the automatic detection of \u201cconcentric circle\u201d signs in the ultrasound images of abdominal intussusception in children; the AI tool can improve the diagnosis speed of pediatric intussusception. It is necessary to further develop an artificial intelligence system for real-time detection of \u201cconcentric circles\u201d in ultrasound images for the judgment of children with intussusception.<\/jats:p>","DOI":"10.1155\/2022\/9285238","type":"journal-article","created":{"date-parts":[[2022,8,13]],"date-time":"2022-08-13T02:50:09Z","timestamp":1660359009000},"page":"1-9","source":"Crossref","is-referenced-by-count":13,"title":["Performance of Deep Learning-Based Algorithm for Detection of Pediatric Intussusception on Abdominal Ultrasound Images"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6640-9947","authenticated-orcid":true,"given":"Zheming","family":"Li","sequence":"first","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou, China"},{"name":"Polytechnic Institute, Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunze","family":"Song","sequence":"additional","affiliation":[{"name":"National Clinical Research Center for Child Health, Hangzhou, China"},{"name":"Department of Ultrasound, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1955-4316","authenticated-orcid":true,"given":"Jian","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3626-5815","authenticated-orcid":true,"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shoujiang","family":"Huang","sequence":"additional","affiliation":[{"name":"National Clinical Research Center for Child Health, Hangzhou, China"},{"name":"Department of Day Surgery, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoxin","family":"Qian","sequence":"additional","affiliation":[{"name":"Huiying Medical Technology (Beijing), Beijing 100192, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xing","family":"Chen","sequence":"additional","affiliation":[{"name":"Hangzhou Normal University, 310052 Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shasha","family":"Hu","sequence":"additional","affiliation":[{"name":"The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7259-2362","authenticated-orcid":true,"given":"Ting","family":"Shu","sequence":"additional","affiliation":[{"name":"National Institute of Hospital Administration, NHC, Beijing 100044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9935-9969","authenticated-orcid":true,"given":"Gang","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou, China"},{"name":"Polytechnic Institute, Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","article-title":"The reform and development of children's medical and health services (Guoweiyifa (2016) No. 21) [EB\/OL]","author":"National Health Commission of the People's Republic of China","year":"2016"},{"key":"2","volume-title":"National Children'sMedicalCenter and National Children's Regional Medical Center Setup Plan (Guoweiban Yifa [2016] No. 31) [EB\/OL]","author":"National Health Commission of the People's Republic of China","year":"2016"},{"key":"3","author":"National Bureau of Statistics of 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Kim","year":"2018","journal-title":"Scientific Reports"}],"container-title":["Gastroenterology Research and Practice"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/grp\/2022\/9285238.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/grp\/2022\/9285238.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/grp\/2022\/9285238.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,13]],"date-time":"2022-08-13T02:50:25Z","timestamp":1660359025000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/grp\/2022\/9285238\/"}},"subtitle":[],"editor":[{"given":"James H.","family":"Tabibian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2022,8,12]]},"references-count":21,"alternative-id":["9285238","9285238"],"URL":"https:\/\/doi.org\/10.1155\/2022\/9285238","relation":{},"ISSN":["1687-630X","1687-6121"],"issn-type":[{"value":"1687-630X","type":"electronic"},{"value":"1687-6121","type":"print"}],"subject":[],"published":{"date-parts":[[2022,8,12]]}}}