RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재 SCI SCIE SCOPUS

      Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method

      한글로보기

      https://www.riss.kr/link?id=A108573149

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      Purpose: To evaluate the applicability of Greulich-Pyle (GP) standards to bone age (BA) assessment in healthy Korean childrenusing manual and deep learning-based methods. Materials and Methods: We collected 485 hand radiographs of healthy children age...

      Purpose: To evaluate the applicability of Greulich-Pyle (GP) standards to bone age (BA) assessment in healthy Korean childrenusing manual and deep learning-based methods.
      Materials and Methods: We collected 485 hand radiographs of healthy children aged 2–17 years (262 boys) between 2008 and2017. Based on GP method, BA was assessed manually by two radiologists and automatically by two deep learning-based BA as sessment (DLBAA), which estimated GP-assigned (original model) and optimal (modified model) BAs. Estimated BA was com pared to chronological age (CA) using intraclass correlation (ICC), Bland-Altman analysis, linear regression, mean absolute error,and root mean square error. The proportion of children showing a difference >12 months between the estimated BA and CA wascalculated.
      Results: CA and all estimated BA showed excellent agreement (ICC ≥0.978, p<0.001) and significant positive linear correlations (R2≥0.935, p<0.001). The estimated BA of all methods showed systematic bias and tended to be lower than CA in younger patients, andhigher than CA in older patients (regression slopes ≤-0.11, p<0.001). The mean absolute error of radiologist 1, radiologist 2, origi nal, and modified DLBAA models were 13.09, 13.12, 11.52, and 11.31 months, respectively. The difference between estimatedBA and CA was >12 months in 44.3%, 44.5%, 39.2%, and 36.1% for radiologist 1, radiologist 2, original, and modified DLBAAmodels, respectively.
      Conclusion: Contemporary healthy Korean children showed different rates of skeletal development than GP standard-BA, andsystemic bias should be considered when determining children’s skeletal maturation.

      더보기

      참고문헌 (Reference) 논문관계도

      1 김수영 ; 오연정 ; 신정연 ; 이영준 ; 이기형, "골연령 측정시 Greulich-Pyle 방법과Tanner-Whitehouse (TW3) 방법의 비교" 대한소아내분비학회 13 (13): 50-55, 2008

      2 Martin DD, "The use of bone age in clinical practice-part 1" 76 : 1-9, 2011

      3 Hackman L, "The reliability of the Greulich and Pyle atlas when applied to a modern Scottish population" 58 : 114-119, 2013

      4 Chai T, "Root mean square error(RMSE)or mean absolute error(MAE)?–Arguments against avoiding RMSE in the literature" 7 : 1247-1250, 2014

      5 Pan I, "Rethinking Greulich and Pyle : a deep learning approach to pediatric bone age assessment using pediatric trauma hand radiographs" 2 : e190198-, 2020

      6 Greulich WW, "Radiographic atlas of skeletal development of the hand and wrist" Stanford University Press 1959

      7 Zhang A, "Racial differences in growth patterns of children assessed on the basis of bone age" 250 : 228-235, 2009

      8 Larson DB, "Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs" 287 : 313-322, 2018

      9 Kelly PM, "Lower-limb growth : how predictable are predictions?" 2 : 407-415, 2008

      10 Alshamrani K, "Is the Greulich and Pyle atlas applicable to all ethnicities? A systematic review and meta-analysis" 29 : 2910-2923, 2019

      1 김수영 ; 오연정 ; 신정연 ; 이영준 ; 이기형, "골연령 측정시 Greulich-Pyle 방법과Tanner-Whitehouse (TW3) 방법의 비교" 대한소아내분비학회 13 (13): 50-55, 2008

      2 Martin DD, "The use of bone age in clinical practice-part 1" 76 : 1-9, 2011

      3 Hackman L, "The reliability of the Greulich and Pyle atlas when applied to a modern Scottish population" 58 : 114-119, 2013

      4 Chai T, "Root mean square error(RMSE)or mean absolute error(MAE)?–Arguments against avoiding RMSE in the literature" 7 : 1247-1250, 2014

      5 Pan I, "Rethinking Greulich and Pyle : a deep learning approach to pediatric bone age assessment using pediatric trauma hand radiographs" 2 : e190198-, 2020

      6 Greulich WW, "Radiographic atlas of skeletal development of the hand and wrist" Stanford University Press 1959

      7 Zhang A, "Racial differences in growth patterns of children assessed on the basis of bone age" 250 : 228-235, 2009

      8 Larson DB, "Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs" 287 : 313-322, 2018

      9 Kelly PM, "Lower-limb growth : how predictable are predictions?" 2 : 407-415, 2008

      10 Alshamrani K, "Is the Greulich and Pyle atlas applicable to all ethnicities? A systematic review and meta-analysis" 29 : 2910-2923, 2019

      11 Gilsanz V, "Hand bone age: a digital atlas of skeletal maturity" Springer 2005

      12 Min-Su Oh ; Sorina Kim ; Juyeon Lee ; Mu Sook Lee ; Yoon-Joo Kim ; Ki Soo Kang, "Factors associated with Advanced Bone Age in Overweight and Obese Children" 대한소아소화기영양학회 23 (23): 89-97, 2020

      13 Doosoo Kim ; Sung-Yoon Cho ; Se-Hyun Maeng ; Eun Sang Yi ; Yu Jin Jung ; 박성원 ; 손영배 ; 진동규, "Diagnosis and constitutional and laboratory features of Korean girls referred for precocious puberty" 대한소아청소년과학회 55 (55): 481-486, 2012

      14 Hallgren KA, "Computing inter-rater reliability for observational data : an overview and tutorial" 8 : 23-34, 2012

      15 Kim JR, "Computerized bone age estimation using deep learning based program : evaluation of the accuracy and efficiency" 209 : 1374-1380, 2017

      16 Ontell FK, "Bone age in children of diverse ethnicity" 167 : 1395-1398, 1996

      17 Breen MA, "Bone age assessment practices in infants and older children among Society for Pediatric Radiology members" 46 : 1269-1274, 2016

      18 Creo AL, "Bone age : a handy tool for pediatric providers" 140 : e20171486-, 2017

      19 김정례 ; 이영석 ; 유지숙, "Assessment of Bone Age in Prepubertal Healthy Korean Children: Comparison among the Korean Standard Bone Age Chart, Greulich-Pyle Method, and Tanner-Whitehouse Method" 대한영상의학회 16 (16): 201-205, 2015

      20 Tajmir SH, "Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability" 48 : 275-283, 2019

      21 Alshamrani K, "Applicability of two commonly used bone age assessment methods to twenty-first century UK children" 30 : 504-513, 2020

      더보기

      동일학술지(권/호) 다른 논문

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼