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Deep learning-based tool affects reproducibility of pes planus radiographic assessment

 Jalim Koo  ;  Sangchul Hwang  ;  Seung Hwan Han  ;  Junho Lee  ;  Hye Sun Lee  ;  Goeun Park  ;  Hyeongmin Kim  ;  Jiae Choi  ;  Sungjun Kim 
 SCIENTIFIC REPORTS, Vol.12(1) : 12891, 2022-07 
Journal Title
Issue Date
Deep Learning* ; Flatfoot* ; Humans ; Observer Variation ; Radiography ; Reproducibility of Results ; Weight-Bearing
Angle measurement methods for measuring pes planus may lose consistency by errors between observers. If the feature points for angle measurement can be provided in advance with the algorithm developed through the deep learning method, it is thought that the error between the observers can be reduced. A total of 300 weightbearing lateral radiographs were used for the development of the deep learning-based algorithm, and a total of 95 radiographs were collected for the clinical validation test set. Meary angle (MA) and calcaneal pitch (CP) were selected as measurement methods and measured twice by three less-experienced physicians with the algorithm-based tool and twice without. The intra- and inter-observer agreements of MA and CP measures were assessed via intra-class correlation coefficient. In addition, verification of the improvement of measurement performance by the algorithm was performed. Interobserver agreements for MA and CP measurements with algorithm were more improved than without algorithm. As for agreement with reference standard, combining the results of all readers, both MA and CP with algorithm were greater than those without algorithm. The deep learning algorithm tool is expected to improve the reproducibility of radiographic measurements for pes planus, especially by improving inter-observer agreement.
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1. College of Medicine (의과대학) > Dept. of Orthopedic Surgery (정형외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
Kim, Sungjun(김성준) ORCID logo https://orcid.org/0000-0002-7876-7901
Kim, Hyeongmin(김형민)
Park, Goeun(박고은)
Lee, Hye Sun(이혜선) ORCID logo https://orcid.org/0000-0001-6328-6948
Choi, Jiae(최지애) ORCID logo https://orcid.org/0000-0003-3191-9469
Han, Seung Hwan(한승환) ORCID logo https://orcid.org/0000-0002-7975-6067
Hwang, Sangchul(황상철)
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