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Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children

Authors
 Sungwon Kim  ;  Haesung Yoon  ;  Mi-Jung Lee  ;  Myung-Joon Kim  ;  Kyunghwa Han  ;  Ja Kyung Yoon  ;  Hyung Cheol Kim  ;  Jaeseung Shin  ;  Hyun Joo Shin 
Citation
 SCIENTIFIC REPORTS, Vol.9(1) : 19420, 2019 
Journal Title
 SCIENTIFIC REPORTS 
Issue Date
2019
Abstract
The purpose of this study was to develop and test the performance of a deep learning-based algorithm to detect ileocolic intussusception using abdominal radiographs of young children. For the training set, children (≤5 years old) who underwent abdominal radiograph and ultrasonography (US) for suspicion of intussusception from March 2005 to December 2017 were retrospectively included and divided into control and intussusception groups according to the US results. A YOLOv3-based algorithm was developed to recognize the rectangular area of the right abdomen and to diagnose intussusception. For the validation set, children (≤5 years old) who underwent both radiograph and US from January to August 2018 with the suspicion of intussusception were included. Diagnostic performances of an algorithm and radiologists were compared. Total 681 children including 242 children in intussusception group were included in the training set and 75 children including 25 children in intussusception group were included in the validation set. The sensitivity of the algorithm was higher compared with that of the radiologists (0.76 vs. 0.46, p = 0.013), while specificity was not different between the algorithm and the radiologists (0.96 vs. 0.92, p = 0.32). Deep learning-based algorithm can aid screening of intussusception using abdominal radiography in young children.
Files in This Item:
T201905406.pdf Download
DOI
10.1038/s41598-019-55536-6
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
5. Research Institutes (연구소) > Others (기타) > 1. Journal Papers
Yonsei Authors
Kim, Myung Joon(김명준) ORCID logo https://orcid.org/0000-0002-4608-0275
Kim, Sungwon(김성원) ORCID logo https://orcid.org/0000-0001-5455-6926
Kim, Hyung Cheol(김형철)
Shin, Jaeseung(신재승) ORCID logo https://orcid.org/0000-0002-6755-4732
Shin, Hyun Joo(신현주) ORCID logo https://orcid.org/0000-0002-7462-2609
Yoon, Ja Kyung(윤자경) ORCID logo https://orcid.org/0000-0002-3783-977X
Yoon, Haesung(윤혜성) ORCID logo https://orcid.org/0000-0003-0581-8656
Lee, Mi-Jung(이미정) ORCID logo https://orcid.org/0000-0003-3244-9171
Han, Kyung Hwa(한경화)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/174728
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