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골 성숙도 단계의 골령 평가를 위한 Greulich-Pyle 방법을 이용한 인공지능 프로그램의 활용
Utilization of an Artificial Intelligence Program Using the Greulich-Pyle Method to Evaluate Bone Age in the Skeletal Maturation Stage 원문보기

大韓小兒齒科學會誌 = Journal of the Korean academy of pediatric dentistry, v.50 no.1, 2023년, pp.89 - 103  

김지훈 (부산대학교 치의학전문대학원 소아치과학교실 및 치의생명과학연구소) ,  서혜준 (부산대학교 치의학전문대학원 소아치과학교실 및 치의생명과학연구소) ,  박소영 (부산대학교 치과병원 소아치과 및 치의학연구소) ,  이은경 (부산대학교 치의학전문대학원 소아치과학교실 및 치의생명과학연구소) ,  정태성 (부산대학교 치의학전문대학원 소아치과학교실 및 치의생명과학연구소) ,  남옥형 (경희대학교 치과병원 소아치과) ,  최성철 (경희대학교 치과병원 소아치과) ,  신종현 (부산대학교 치의학전문대학원 소아치과학교실 및 치의생명과학연구소)

초록
AI-Helper 아이콘AI-Helper

이 연구의 목적은 Greulich-Pyle (GP)방법을 기반으로 한 인공지능 프로그램을 이용해 골령을 측정하고 경추골 성숙도(Cervical vertebral maturation, CVM)와 중지 중절골 성숙도(Middle phalanx of the third finger, MP3) 각 단계에 해당하는 골령을 파악하는 것이다. 연구는 2013년부터 2021년까지 경희대학교와 부산대학교 치과병원 소아치과에 내원한 총 3,118명을 대상으로 하였다. CVM은 Baccetti 분류에 따라 5단계로 나누었고, MP3는 Hägg와 Taranger 의 방법에 따라 5단계로 나누었다. 골령은 GP 방법 기반의 인공지능 프로그램을 통해 평가하였다. 최대 성장기의 CVM 단계는 II, III로 CVM II의 평균 골령은 남자 11.00 ± 1.81세, 여자 10.00 ± 1.49세였고, III는 남자 13.00 ± 1.46세, 여자 12.00 ± 1.44세였다(p < 0.0001). MP3 최대 성장기는 G 단계로 평균 골령은 남자 13.14 ± 1.07세, 여자 11.40 ± 1.09세였다(p < 0.0001). 인공지능을 통한 골령 평가는 임상적 활용 가치가 있으며 신속하고 정확한 진단이 가능할 것으로 예상된다.

Abstract ▼ AI-Helper 아이콘AI-Helper

The purpose of this study was to measure bone age using an artificial intelligence program based on the Greulich-Pyle (GP) method to find out the bone age corresponding to each stage of cervical vertebral maturation (CVM) and the middle phalanx of the third finger (MP3). This study was conducted on ...

주제어

#Bone age   #Cervical vertebral maturation   #Middle phalanx of the third finger   #Greulich-Pyle method   #Artificial intelligence   #Pubertal growth spurt  

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