• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估 Tanner-Whitehouse 手部骨龄分类法的观察者间变异和可重复性。

Inter-rater variability and repeatability in the assessment of the Tanner-Whitehouse classification of hand radiographs for the estimation of bone age.

机构信息

Department of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.

Department of Traumatology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.

出版信息

Skeletal Radiol. 2024 Dec;53(12):2635-2642. doi: 10.1007/s00256-024-04664-w. Epub 2024 May 2.

DOI:10.1007/s00256-024-04664-w
PMID:38695874
Abstract

OBJECTIVE

To determine which bones and which grades had the highest inter-rater variability when employing the Tanner-Whitehouse (T-W) method.

MATERIALS AND METHODS

Twenty-four radiologists were recruited and trained in the T-W classification of skeletal development. The consistency and skill of the radiologists in determining bone development status were assessed using 20 pediatric hand radiographs of children aged 1 to 18 years old. Four radiologists had a poor concordance rate and were excluded. The remaining 20 radiologists undertook a repeat reading of the radiographs, and their results were analyzed by comparing them with the mean assessment of two senior experts as the reference standard. Concordance rate, scoring, and Kendall's W were calculated to evaluate accuracy and consistency.

RESULTS

Both the radius, ulna, and short finger (RUS) system (Kendall's W = 0.833) and the carpal (C) system (Kendall's W = 0.944) had excellent consistency, with the RUS system outperforming the C system in terms of scores. The repeatability analysis showed that the second rating test, performed after 2 months of further bone age assessment (BAA) practice, was more consistent and accurate than the first. The capitate had the lowest average concordance rate and scoring, as well as the lowest overall concordance rate for its D classification. Moreover, the G classifications of the seven carpal bones all had a concordance rate less than 0.6. The bones with lower Kendall's W were likewise those with lower scores and concordance rates.

CONCLUSION

The D grade of the capitate showed the highest variation, and the use of the Tanner-Whitehouse 3rd edition (T-W3) to determine bone age (BA) was frequently inconsistent. A more comprehensive description with a focus on inaccuracy bones or ratings and a modification to the T-W3 approach would significantly advance BAA.

摘要

目的

确定在使用 Tanner-Whitehouse(T-W)法时,哪些骨骼和等级的观察者间变异最大。

材料与方法

招募了 24 名放射科医生,并对其进行了 T-W 骨骼发育分类的培训。通过对 20 名 1 至 18 岁儿童的手部 X 光片进行评估,评估放射科医生确定骨骼发育状态的一致性和技能。有 4 名放射科医生的一致性率较差,被排除在外。其余 20 名放射科医生对 X 光片进行了重复阅读,并将其结果与两位高级专家的平均评估进行比较,作为参考标准进行分析。计算一致性率、评分和 Kendall's W,以评估准确性和一致性。

结果

桡骨、尺骨和短指(RUS)系统(Kendall's W=0.833)和腕骨(C)系统(Kendall's W=0.944)均具有极好的一致性,RUS 系统在评分方面优于 C 系统。重复测试分析表明,在进行了 2 个月的进一步骨龄评估(BAA)实践后进行的第二次评分测试更一致和准确。头状骨的平均一致性率和评分最低,其 D 分级的整体一致性率也最低。此外,七块腕骨的 G 分级的一致性率均低于 0.6。Kendall's W 较低的骨骼,其评分和一致性率也较低。

结论

头状骨的 D 级显示出最高的变异,使用 Tanner-Whitehouse 第 3 版(T-W3)来确定骨龄(BA)常常不一致。使用更全面的描述,重点关注不准确的骨骼或评分,并对 T-W3 方法进行修改,将显著推进 BAA。

相似文献

1
Inter-rater variability and repeatability in the assessment of the Tanner-Whitehouse classification of hand radiographs for the estimation of bone age.评估 Tanner-Whitehouse 手部骨龄分类法的观察者间变异和可重复性。
Skeletal Radiol. 2024 Dec;53(12):2635-2642. doi: 10.1007/s00256-024-04664-w. Epub 2024 May 2.
2
Validation of an AI-Powered Automated X-ray Bone Age Analyzer in Chinese Children and Adolescents: A Comparison with the Tanner-Whitehouse 3 Method.人工智能驱动的自动 X 射线骨龄分析仪在中国儿童和青少年中的验证:与 Tanner-Whitehouse 3 法的比较。
Adv Ther. 2024 Sep;41(9):3664-3677. doi: 10.1007/s12325-024-02944-4. Epub 2024 Jul 31.
3
Skeletal age estimation in a contemporary Western Australian population using the Tanner-Whitehouse method.使用坦纳-怀特豪斯方法对当代西澳大利亚人群进行骨骼年龄估计。
Forensic Sci Int. 2016 Jun;263:e1-e8. doi: 10.1016/j.forsciint.2016.03.042. Epub 2016 Mar 25.
4
Age estimation methods using hand and wrist radiographs in a group of contemporary Thais.在一组当代泰国人中使用手部和腕部X光片进行年龄估计的方法。
Forensic Sci Int. 2018 Jun;287:218.e1-218.e8. doi: 10.1016/j.forsciint.2018.03.045. Epub 2018 Apr 3.
5
Development of a simplified new method of bone age estimation using three bones of the hand and wrist.发展一种使用手部和腕部的 3 块骨头来简化骨龄评估的新方法。
Endocrine. 2024 Jun;84(3):1135-1145. doi: 10.1007/s12020-024-03684-9. Epub 2024 Jan 20.
6
Automatic bone age assessment based on intelligent algorithms and comparison with TW3 method.基于智能算法的骨龄自动评估及与TW3方法的比较
Comput Med Imaging Graph. 2008 Dec;32(8):678-84. doi: 10.1016/j.compmedimag.2008.08.005. Epub 2008 Oct 2.
7
Diagnostic performance of convolutional neural network-based Tanner-Whitehouse 3 bone age assessment system.基于卷积神经网络的坦纳-怀特豪斯3型骨龄评估系统的诊断性能
Quant Imaging Med Surg. 2020 Mar;10(3):657-667. doi: 10.21037/qims.2020.02.20.
8
Applicability of Greulich-Pyle and Tanner-Whitehouse grading methods to MRI when assessing hand bone age in forensic age estimation: A pilot study.在法医年龄估计中评估手部骨龄时,Greulich-Pyle和Tanner-Whitehouse分级方法对MRI的适用性:一项初步研究。
Forensic Sci Int. 2016 Sep;266:281-288. doi: 10.1016/j.forsciint.2016.06.016. Epub 2016 Jun 17.
9
Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment.深度学习为基础的混合(格雷夫利希-派尔和改良的坦纳-怀特豪斯)骨龄评估方法的临床验证。
Korean J Radiol. 2021 Dec;22(12):2017-2025. doi: 10.3348/kjr.2020.1468. Epub 2021 Oct 1.
10
Which bone age in chronic renal insufficiency and end-stage renal disease?慢性肾功能不全和终末期肾病的骨龄情况如何?
Pediatr Nephrol. 1988 Apr;2(2):200-4. doi: 10.1007/BF00862591.

本文引用的文献

1
Bone age assessment: Large-scale comparison of Greulich-Pyle method and Tanner-Whitehouse 3 method for Taiwanese children.骨龄评估:台湾儿童格鲁利希-派尔法与坦纳-怀特豪斯3法的大规模比较
J Chin Med Assoc. 2023 Feb 1;86(2):246-253. doi: 10.1097/JCMA.0000000000000854. Epub 2023 Jan 18.
2
A comparative study of three bone age assessment methods on Chinese preschool-aged children.三种骨龄评估方法对中国学龄前儿童的比较研究。
Front Pediatr. 2022 Aug 16;10:976565. doi: 10.3389/fped.2022.976565. eCollection 2022.
3
Artificial Intelligence-Assisted Bone Age Assessment to Improve the Accuracy and Consistency of Physicians With Different Levels of Experience.
人工智能辅助骨龄评估以提高不同经验水平医生的准确性和一致性。
Front Pediatr. 2022 Feb 24;10:818061. doi: 10.3389/fped.2022.818061. eCollection 2022.
4
Evaluation of Bone Age in Children: A Mini-Review.儿童骨龄评估:一篇综述
Front Pediatr. 2021 Mar 12;9:580314. doi: 10.3389/fped.2021.580314. eCollection 2021.
5
Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment.人工智能在骨龄评估中的应用:骨龄评估的未来。
Korean J Radiol. 2021 May;22(5):792-800. doi: 10.3348/kjr.2020.0941. Epub 2021 Jan 19.
6
Skeletal bone age prediction based on a deep residual network with spatial transformer.基于具有空间转换器的深度残差网络的骨骼骨龄预测。
Comput Methods Programs Biomed. 2020 Dec;197:105754. doi: 10.1016/j.cmpb.2020.105754. Epub 2020 Sep 12.
7
Bone age estimation using deep learning and hand X-ray images.利用深度学习和手部X光图像进行骨龄估计。
Biomed Eng Lett. 2020 Mar 11;10(3):323-331. doi: 10.1007/s13534-020-00151-y. eCollection 2020 Aug.
8
Automatic assessment of bone age in Taiwanese children: A comparison of the Greulich and Pyle method and the Tanner and Whitehouse 3 method.台湾地区儿童骨龄的自动评估:Greulich 和 Pyle 法与 Tanner 和 Whitehouse 3 法的比较。
Kaohsiung J Med Sci. 2020 Nov;36(11):937-943. doi: 10.1002/kjm2.12268. Epub 2020 Aug 3.
9
Diagnostic performance of convolutional neural network-based Tanner-Whitehouse 3 bone age assessment system.基于卷积神经网络的坦纳-怀特豪斯3型骨龄评估系统的诊断性能
Quant Imaging Med Surg. 2020 Mar;10(3):657-667. doi: 10.21037/qims.2020.02.20.
10
Tanner-Whitehouse Skeletal Ages in Male Youth Soccer Players: TW2 or TW3?男性青年足球运动员的 Tanner-Whitehouse 骨骼年龄:TW2 还是 TW3?
Sports Med. 2018 Apr;48(4):991-1008. doi: 10.1007/s40279-017-0799-7.