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三种方法评估藏族儿童骨龄效果比较及藏族儿童骨龄发育特点

次旦旺久 拉巴顿珠 王凤丹 顾潇 陈适 刘永亮 石磊 潘慧 银武 金征宇

次旦旺久, 拉巴顿珠, 王凤丹, 顾潇, 陈适, 刘永亮, 石磊, 潘慧, 银武, 金征宇. 三种方法评估藏族儿童骨龄效果比较及藏族儿童骨龄发育特点[J]. 协和医学杂志, 2021, 12(3): 411-416. doi: 10.12290/xhyxzz.20200259
引用本文: 次旦旺久, 拉巴顿珠, 王凤丹, 顾潇, 陈适, 刘永亮, 石磊, 潘慧, 银武, 金征宇. 三种方法评估藏族儿童骨龄效果比较及藏族儿童骨龄发育特点[J]. 协和医学杂志, 2021, 12(3): 411-416. doi: 10.12290/xhyxzz.20200259
CIDAN Wangjiu, LABA Dunzhu, WANG Fengdan, GU Xiao, CHEN Shi, LIU Yongliang, SHI Lei, PAN Hui, YIN Wu, JIN Zhengyu. Comparison of Three Methods of Assessing the Bone Age in Tibetan Children and the Features of Their Skeletal Maturity[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(3): 411-416. doi: 10.12290/xhyxzz.20200259
Citation: CIDAN Wangjiu, LABA Dunzhu, WANG Fengdan, GU Xiao, CHEN Shi, LIU Yongliang, SHI Lei, PAN Hui, YIN Wu, JIN Zhengyu. Comparison of Three Methods of Assessing the Bone Age in Tibetan Children and the Features of Their Skeletal Maturity[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(3): 411-416. doi: 10.12290/xhyxzz.20200259

三种方法评估藏族儿童骨龄效果比较及藏族儿童骨龄发育特点

doi: 10.12290/xhyxzz.20200259
基金项目: 

国家自然科学基金青年科学基金项目 82001900

西藏自治区自然科学基金组团式援藏医学项目 XZ2020ZR-ZY01(Z)

详细信息
    通讯作者:

    王凤丹 电话:010-69159608,E-mail:wangfengdan@pumch.cn

  • 中图分类号: R725.8

Comparison of Three Methods of Assessing the Bone Age in Tibetan Children and the Features of Their Skeletal Maturity

Funds: 

the Youth Fund of National Natural Science Foundation of China 82001900

the Group Aiding Medical Program of Natural Science Foundation of Tibet XZ2020ZR-ZY01(Z)

More Information
  • 摘要:   目的  探讨更适用于藏族儿童的骨龄测定方法,并进一步总结藏族儿童的骨龄发育规律。  方法  回顾性收集2013年9月至2019年11月因外伤就诊于西藏自治区人民医院的4~18岁藏族儿童临床资料。研究对象均拍摄左手腕部X线片作为骨龄片。北京协和医院2名医生依据Greulich-Pyle(GP)图谱法共同阅片,得出GP图谱法骨龄。由人工智能骨龄系统自动阅片完成Tanner-Whitehouse3(TW3)法(包括TW3-RUS法和TW3-Carpal法)和中国人手腕骨发育标准-中华05.Ⅳ. (中华05)法骨龄测定。采用Pearson相关法分析GP图谱、TW3法、中华05法测定的骨龄与日历年龄的相关性。  结果  共305例符合纳入和排除标准的藏族儿童入选本研究。其中男童209例,女童96例;平均日历年龄(11.22±4.81)岁。Pearson相关法分析显示,GP图谱法、TW3-RUS法、TW3-Carpal法及中华05法测定的骨龄与藏族儿童日历年龄均高度相关,其中以GP图谱法的相关性最强(r=0.961),其次为TW3-RUS法(r=0.941)、中华05法(r=0.937)、TW3-Carpal法(r=0.895)。藏族儿童普遍存在发育延缓;4~10岁儿童的骨龄不同程度地小于日历年龄;青春发育期(11~15岁)儿童的骨龄超过日历年龄(13岁男童除外),呈追赶趋势,但16~18岁时的骨龄仍小于日历年龄。  结论  与TW3法、中华05法相比,GP图谱法更适用于藏族儿童的骨龄评估;藏族儿童的骨龄发育呈青春发育期追赶的趋势,但整体仍落后于日历年龄。
    编者按:
    援藏援疆是国家战略,是推动边疆发展稳定、促进各民族大团结的重大举措。为推动西藏自治区、新疆维吾尔自治区医疗卫生事业的发展,“十三五”期间,国家卫生健康委员会大力推进以医疗人才“组团式”援藏援疆为主要代表的卫生健康对口帮扶工作,将先进的诊疗技术和优秀的管理理念进行深入移植,全面提升了当地的医疗卫生服务水平。
    一直以来,医疗人才“组团式”援藏援疆工作稳步推进,精准施策,在提升当地医疗服务水平的同时,也开展了相对开创性的医学研究,积累了诸多宝贵经验。为此,我刊特别开设“援藏援疆专栏”,记录和发布援藏援疆系列宝贵经验和研究成果,以期为推动援藏援疆事业发展作出更大贡献。
    编者按:
    作者贡献:王凤丹、潘慧、银武、金征宇提出研究设计思路;次旦旺久、拉巴顿珠、王凤丹、顾潇、陈适、刘永亮、石磊进行数据整理和分析;次旦旺久、王凤丹完成文章初稿;所有作者均参与论文修改。
    编者按:
    利益冲突  无
  • 图  1  305例藏族儿童日历年龄分布条形图

    图  2  藏族儿童各年龄段骨龄发育情况

    表  1  不同方法测定的骨龄结果与日历年龄的相关性分析

    评估方法 骨龄(x±s,岁) r
    总体(n=305)
      GP图谱法 10.64±5.18 0.961
      TW3-RUS法 10.26±4.90 0.941
      TW3-Carpal法 9.12±3.53 0.895
      中华05法 10.46±4.41 0.937
    男童(n=209)
      GP图谱法 11.00±5.26 0.958
      TW3-RUS法 10.70±4.94 0.942
      TW3-Carpal法 9.62±3.66 0.909
      中华05法 10.88±4.43 0.938
    女童(n=96)
      GP图谱法 9.85±4.95 0.968
      TW3-RUS法 9.28±4.68 0.937
      TW3-Carpal法 8.05±2.99 0.879
      中华05法 9.53±4.23 0.935
    下载: 导出CSV

    表  2  不同年龄段藏族儿童GP图谱法骨龄与日历年龄的差值分布(x±s,岁)

    CA
    (岁)
    男童(n=209) 女童(n=96)
    例数(n) CA BA BA-CA P 例数(n) CA BA BA-CA P
    4 20 4.10±0.23 3.64±0.51 -0.96±1.19 0.002 12 4.05±0.08 3.46±0.73 -0.59±0.76 0.021
    5 12 5.09±0.22 4.18±0.69 -1.71±1.32 0.001 7 5.13±0.34 4.56±0.64 -0.57±0.53 0.028
    6 16 6.25±0.38 4.94±0.89 -1.31±0.97 0.000 9 6.01±0.03 5.02±1.08 -0.99±1.08 0.025
    7 10 7.11±0.21 5.36±1.14 -1.75±1.17 0.001 5 7.14±0.13 5.68±2.04 -1.46±2.12 0.198
    8 13 8.21±0.30 7.06±1.63 -1.15±1.61 0.025 8 8.10±0.24 7.38±1.10 -0.73±1.02 0.084
    9 9 9.04±1.33 8.56±1.93 -0.49±1.89 0.461 3 9.27±0.31 8.53±1.37 -0.73±1.55 0.499
    10 13 10.08±0.22 9.10±1.72 -0.99±1.62 0.049 6 10.12±0.16 9.40±1.73 -0.72±1.66 0.337
    11 8 11.18±0.31 11.50±1.63 0.62±2.97 0.543 4 11.10±0.20 11.33±1.97 0.23±1.94 0.831
    12 12 12.14±0.25 12.54±1.97 0.40±1.95 0.492 5 12.08±0.18 10.92±1.68 -1.22±3.45 0.169
    13 9 12.28±0.34 12.17±1.41 -1.11±1.42 0.047 5 13.34±0.27 13.80±0.76 0.46±0.50 0.110
    14 16 14.21±0.33 14.77±2.12 0.56±1.97 0.272 4 14.30±0.35 14.70±1.33 0.40±1.11 0.524
    15 12 15.23±0.32 16.06±1.48 0.83±1.44 0.086 6 15.29±0.24 15.08±1.16 0.28±2.71 0.737
    16 16 16.21±0.30 16.06±0.96 -0.14±1.00 0.572 9 16.01±0.04 15.35±1.23 -0.66±1.26 0.180
    17 20 17.11±0.23 16.52±1.10 -0.59±1.05 0.022 6 17.28±0.30 15.67±1.17 -1.62±1.23 0.023
    18 22 18.31±0.36 17.36±1.62 -0.96±1.67 0.014 6 18.17±0.29 17.17±0.98 -1.96±2.44 0.044
    CA:日历年龄; BA:骨龄
    下载: 导出CSV
  • [1] Martin DD, Wit JM, Hochberg Z, et al. The use of bone age in clinical practice-part 1[J]. Horm Res Paediatr, 2011, 76: 1-9. http://content.karger.com/ProdukteDB/produkte.asp?Aktion=ShowPDF&ArtikelNr=329372&Ausgabe=255394&ProduktNr=224036&filename=329372.pdf
    [2] Creo AL, Schwenk WF. Bone age: A handy tool for pediatric providers[J]. Pediatrics, 2017, 140: e20171486. doi:  10.1542/peds.2017-1486
    [3] Greulich WW, Pyle SI. Radiographic atlas of skeletal development of hand wrist[M]. Stanford: Stanford Universtiy Press, 1971.
    [4] Tanner JM, Healy MJR, Goldstein H, et al. Assessment of skeletal maturity and prediction of adult height (TW3 method)[M]. 3rd ed. London: WB Saunders, 2001.
    [5] 张绍岩, 马振国, 沈勋章, 等. 中国人手腕骨发育标准——中华05. IV. 中国儿童手腕骨发育特征[J]. 中国运动医学杂志, 2007, 26: 452-455. doi:  10.3969/j.issn.1000-6710.2007.04.014

    Zhang SY, Ma ZG, Shen XZ, et al. The skeletal development standards of hand and wrist for Chinese Children—China 05. IV.Features of hand and wrist for Chinese children[J]. Zhongguo Yun Dong Yi Xue Za Zhi, 2007, 26: 452-455. doi:  10.3969/j.issn.1000-6710.2007.04.014
    [6] Gertych A, Zhang A, Sayre J, et al. Bone age assessment of children using a digital hand atlas[J]. Comput Med Imag Grap, 2007, 31: 322-331. doi:  10.1016/j.compmedimag.2007.02.012
    [7] Bianba B, Yangzong Y, Gonggalanzi G, et al. Anthropometric measures of 9- to 10-year-old native Tibetan children living at 3700 and 4300 m above sea level and Han Chinese living at 3700 m[J]. Medicine (Baltimore), 2015, 94: e1516. doi:  10.1097/MD.0000000000001516
    [8] Wang F, Gu X, Chen S, et al. Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development[J]. Peer J, 2020, 8: e8854. doi:  10.7717/peerj.8854
    [9] Van RR, Lequin MH, Robben SG, et al. Is the Greulich and Pyle atlas still valid for Dutch Caucasian children today?[J]. Pediatr Radiol, 2001, 31: 748-752. doi:  10.1007/s002470100531
    [10] Bken B, Safak AA, Yazici B, et al. Is the assessment of bone age by the Greulich-Pyle method reliable at forensic age estimation for Turkish children?[J]. Forensic Sci Int, 2007, 173: 146-153. doi:  10.1016/j.forsciint.2007.02.023
    [11] Zhang A, Sayre JW, Vachon L, et al. Racial differences in growth patterns of children assessed on the basis of bone age[J]. Radiology, 2009, 250: 228-235. doi:  10.1148/radiol.2493080468
    [12] Mirza WA, Memon M, Mahmood SM, et al. Bone age practices in infants and older children among practicing radiologists in Pakistan: developing world perspective[J]. Cureus, 2019, 11: e3936. http://www.researchgate.net/publication/330550531_Bone_Age_Practices_in_Infants_and_Older_Children_among_Practicing_Radiologists_in_Pakistan_Developing_World_Perspective
    [13] Govender D, Goodier RM. Bone of contention: the applicability of the Greulich-Pyle method for skeletal age assessment in South Africa[J]. SA J Radiol, 2018, 22: 1348-1354. http://www.ncbi.nlm.nih.gov/pubmed/31754503
    [14] Zafar AM, Nadeem N, Husen Y, et al. An appraisal of Greulich-Pyle Atlas for skeletal age assessment in Pakistan[J]. J PakMed Assoc, 2010, 60: 552-555.
    [15] Proos LA, Nnerholm LT, Jonsson B, et al. Can the TW3 bone age determination method provide additional criteria for growth hormone treatment in adopted girls with early puberty? A comparison of the Tanner-Whitehouse 3 method with the Greulich-Pyle and the Tanner-Whitehouse 2 methods[J]. Horm Res Paediatr, 2010, 73: 35-40. doi:  10.1159/000271914
    [16] Lynnerup N, Belard E, Buch-Olsen K, et al. Intra- and interobserver error of the Greulich-Pyle method as used on a Danish forensic sample[J]. Forensic Sci Int, 2008, 179: 242. e1-6. http://europepmc.org/abstract/MED/18602233
    [17] 李春山, 李长勇, 席焕久, 等. 拉萨藏族青少年手腕部骨龄发育评价[J]. 中国临床康复, 2005, 9: 36-38. https://www.cnki.com.cn/Article/CJFDTOTAL-XDKF200523021.htm

    Li CS, Li CY, Xi HJ, et al. Assessment of development of wrist skeletal age of Tibet adolescent in Lhasa[J]. Zhongguo Lin Chuang Kang Fu, 2005, 9: 36-38. https://www.cnki.com.cn/Article/CJFDTOTAL-XDKF200523021.htm
    [18] 李春山, 李长勇, 任甫, 等. 那曲地区藏族青少年腕部骨龄评价[J]. 解剖学杂志, 2006, 29: 414-416. https://www.cnki.com.cn/Article/CJFDTOTAL-JPXZ200604010.htm

    Li CS, Li CY, Ren F, et al. Assessment of Tibetan adolescents skeletal age of wrist in Naqu district[J]. Jie Pou Xue Za Zhi, 2006, 29: 414-416. https://www.cnki.com.cn/Article/CJFDTOTAL-JPXZ200604010.htm
    [19] Dang S, Yan H, Wang D. Implication of World Health Organization growth standards on estimation of malnutrition in young Chinese children: Two examples from rural western China and the Tibet region[J]. J Child Health Care, 2014, 18: 358-368. doi:  10.1177/1367493513496669
    [20] Argnani L, Cogo A, Gualdi-Russso E. Growth and nutri-tional status of Tibetan children at high altitude[J]. Coll Antropol, 2008, 32: 807-812. http://www.ncbi.nlm.nih.gov/pubmed/18982755
    [21] Tajmir SH, Lee H, Shailam R, et al. Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability[J]. Skeletal Radiol, 2019, 48: 275-283. doi:  10.1007/s00256-018-3033-2
    [22] Spampinato C, Palazzo S, Giordano D, et al. Deep learning for automated skeletal bone age assessment in X-ray images[J]. Med Image Anal, 2017, 36: 41-51. doi:  10.1016/j.media.2016.10.010
    [23] Lee H, Tajmir S, Lee J, et al. Fully automated deep learning system for bone age assessment[J]. J Digit Imaging, 2017, 30: 427-441. doi:  10.1007/s10278-017-9955-8
    [24] Larson DB, Chen MC, Lungren MP, et al. Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs[J]. Radiology, 2018, 287: 313-322. doi:  10.1148/radiol.2017170236
    [25] Zhou XL, Wang EG, Lin Q, et al. Diagnostic performance of convolutional neural network-based Tanner-Whitehouse 3 bone age assessment system[J]. Quant Imaging Med Surg, 2020, 10: 657-667. doi:  10.21037/qims.2020.02.20
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出版历程
  • 收稿日期:  2020-09-29
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  • 刊出日期:  2021-05-30

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