ABSTRACT
Resumen: Objetivo: Determinar el grado de correlación en la valoración de la edad ósea radiológica mediante el método de Greulich y Pyle versus la evaluación automatizada por el programa computacional BoneXpert® entre los años 2013-2016. Material y Método: Estudio de correlación de técnicas diag nósticas de 1500 radiografías de carpo para evaluar la edad ósea, en pacientes menores de 16 años pertenecientes a Clínica Alemana de Santiago. Las radiografías con evaluación de la edad ósea por el Atlas de Greulich y Pyle (GP) por 1 de 7 radiólogos pediatras fueron sometidas al programa BoneX pert (BE) para la evaluación automatizada de la edad ósea. Se tomó 100 casos al azar para un análisis/ re-análisis del método BE, para conocer su precisión. Se analizó el nivel de correlación de las medicio nes por coeficiente de correlación (r de Pearson) y la variabilidad de las mediciones mediante análisis de Bland-Altman. Resultados: Se incluyeron 1.493 casos, se excluyeron 7 por falla en técnica de la radiografía, 922 de sexo femenino (61.8%), mediana de edad cronológica 9.96 años y 11.12 años para los varones (p 0,001). La correlación entre la edad ósea manual GP y la edad ósea automatizada BE entre los lectores varió entre 0,91 y 0,93. El análisis de Bland-Altman indicó una diferencia promedio entre la edad ósea manual y la edad ósea BE de 0,19 años (IC 0,13 a 0,25). En el análisis/re-análisis de 100 casos al azar mediante BoneXpert, la correlación fue de 1,0. Conclusión: El análisis automatizado mediante BoneXpert permite una evaluación estandarizada, de baja variabilidad, y alta concordancia.
Abstract: Objective: To determine the degree of correlation in the radiological bone age assessment using the Greulich and Pyle method versus automated assessment through BoneXpert® software between 2013 and 2016. Material and Method: Correlation study of diagnostic techniques of 1500 carpal X-rays to assess bone age in patients under 16 years of age from Clínica Alemana de Santiago. X-rays with bone age assessment using the Atlas of Greulich and Pyle (GP) by 1 out of 7 pediatric radiologists, were analyzed using the BoneXpert (BE) software for automated bone age assessment. 100 cases were taken at random for analysis/re-analysis using the BoneXpert method to determine its accuracy. The level of correlation of the measurements was analyzed using the correlation coefficient (Pearson's r) and the variability of the measurements using the Bland-Altman analysis. Results: 1493 cases were assessed, seven were excluded due to failure in the X-ray technique, 922 females (61.8%), with a median chronological age of 9.96 years and 11.12 years for males (p 0.001). The correlation between manual bone age (GP) and automated bone age using BoneXpert method among radiologists ran ged from 0.91 to 0.93. The Bland-Altman analysis indicated an average difference between manual bone age and bone age using the BoneXpert method of 0.19 years (CI 0.13 to 0.25). In the analysis/ re-analysis of 100 random cases using the BoneXpert software, the correlation was 1.00 (100% accu racy). Conclusion: The automated analysis using BoneXpert allows for standardized, low-variability, and high-concordance assessment.
Subject(s)
Humans , Male , Female , Infant , Child, Preschool , Child , Adolescent , Software , Age Determination by Skeleton/methods , Radiographic Image Interpretation, Computer-Assisted , Radiography , Retrospective StudiesABSTRACT
PURPOSE:The mean height of Korean children has been increased recently, and new version of growth chart was made in 2007. Nevertheless, the reference value on bone mineral density (BMD) of normal children has not been established yet. The aims of this study were to obtain mean values of BMD in normal children and to investigate correlation between BMD and their relating factors. METHODS:One hundred thirty five normal children from 6 to 14 years old were included, who were 69 boys and 66 girls. Bone density was measured at the lumbar spine and the proximal femur by dual energy x-ray absorptiometry (Discovery A, Hologic, 2004). We assessed bone age, body mass index, bone alkaline phosphatase, insulin-like growth factor I (IGF-I), sex steroid level and analyzed their correlation with BMD. Results:The result showed a trend of an increase in BMD according to the age in both boys and girls. The mean value of BMD showed the greatest increase during age of 10 to 11 in girls and 12 to 13 in boys. A sudden increase of BMD in both boys and girls occurred during the overt puberty. Bone age and IGF-I level indicated the most significant relating factors of BMD of lumbar spine. The mean values of BMD of this study were similar to the previous studies about BMD of Korean children. CONCLUSION:The results could be utilized as fundamental data for normal BMD value of Korean children and larger population study is needed.
Subject(s)
Adolescent , Child , Humans , Absorptiometry, Photon , Age Determination by Skeleton , Alkaline Phosphatase , Body Mass Index , Bone Density , Femur , Growth Charts , Insulin-Like Growth Factor I , Puberty , Reference Values , SpineABSTRACT
PURPOSE: The determination of skeletal age is important for the analysis of growth and growth disorders in children. The aim of this study is to investigate the difference of bone age comparing Greulich-Pyle (GP) and Tanner Whitehouse (TW3) methods. We also evaluated the reproducibility of results of each method by different observers (interobserver variation) and by same observer (intraobserver variation). METHODS: Bone ages were assessed from left hand-wrist radiographs of 200 children (108 males and 92 females) aged 7 to 15 years by GP and TW3 methods. To evaluate the reproducibility of each method, 102 radiographs were assessed independently by three observers and 100 radiographs were reassessed by one same observer using both methods. RESULTS: The average bone age by GP and TW3 were 10.65+/-2.24 years and 10.48+/-2.18 years, respectively (P<0.01). There is significant correlation between GP and TW3 methods (R(2)=0.94, P<0.01). The interobserver variation of GP and TW3 was not different significantly (0.51+/-0.44 years by GP vs 0.54+/-0.42 years by TW3). The intraobserver variation also was not different significantly (0.48+/-0.44 years by GP vs 0.45+/-0.37 years by TW3). CONCLUSION: Our data indicate that bone age by TW3 method was slightly younger than that by GP method but similar, and the reproducibility of both methods were not different. Therefore, both GP and TW3 methods are useful for estimation of bone age in Korea children.
Subject(s)
Aged , Child , Humans , Male , Age Determination by Skeleton , Growth Disorders , Korea , Observer Variation , Reproducibility of ResultsABSTRACT
To develop a standard growth curve of the lower extremity in Korean children from 3 to 16 yr of age, the lengths from a total of 2087 normal long bone segments (582 femurs and 645 tibias in boys, and 417 femurs and 443 tibias in girls) were measured. Children were grouped by years of bone age, which was determined by using the Korean specific bone age standard; TW2-20 method. The growth spurt occurred in girls from eight to eleven years by bone age, and in boys from eleven to thirteen years. The mean tibial length relative to the mean femoral length was 0.78 in boys and 0.79 in girls. The overall growth pattern was similar to that observed in American children in the 1960s. Korean children and adolescents appear to have a different tempo of skeletal maturation during pubertal growth from that of English and American children and adolescents. The Korean standard growth curve and the Korean bone age chart allow determination of the presence of any existent growth abnormalities and prediction of future remaining growth in lower extremities. These normative growth standards can be used for leg-length equalization purposes in children with anisomelia.