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Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children
- Source :
- Scientific Reports, Scientific Reports, Vol 9, Iss 1, Pp 1-8 (2019)
- Publication Year :
- 2019
- Publisher :
- Nature Publishing Group UK, 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.
- Subjects :
- Radiography, Abdominal
Radiography
lcsh:Medicine
Paediatric research
Article
030218 nuclear medicine & medical imaging
Abdominal radiograph
03 medical and health sciences
0302 clinical medicine
Deep Learning
Intussusception (medical disorder)
medicine
Image Processing, Computer-Assisted
Humans
lcsh:Science
Retrospective Studies
Multidisciplinary
Training set
business.industry
Ileal Diseases
lcsh:R
Infant
Ileocolic intussusception
medicine.disease
Abdominal Radiography
Gastroenteritis
medicine.anatomical_structure
Abdomen
lcsh:Q
Ultrasonography
business
Algorithm
Intussusception
030217 neurology & neurosurgery
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....a81df2facd348fcd9b42c968d729f70c