Evidence map›Paper›PMID 38695874›Full record

ArticleSkeletal radiology2024

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

Jian Geng, Wenshuang Zhang, Yufeng Ge, Ling Wang, Pengju Huang, Yandong Liu, Jia Shi, Fengyun Zhou, Kangkang Ma, Glen M Blake and 3 more

Abstract read
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In one paragraph

Article in Skeletal radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
8.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 2 countries.

Jian GengDepartment of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.
Wenshuang ZhangDepartment of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.
Yufeng GeDepartment of Traumatology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.
Ling WangDepartment of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.
Pengju HuangDepartment of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.
Yandong LiuDepartment of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.
Jia ShiChinese Center for Disease Control and Prevention, National Institute of Nutrition and Health, Beijing, China.
Fengyun ZhouSchool of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang City, Shaanxi Province, China.
Kangkang MaDepartment of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.
Glen M BlakeDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK.
Gang XuDepartment of Athletic Training, Beijing Sport University, Beijing, China.
Dong YanDepartment of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China. bmuyandong@126.com.
Xiaoguang ChengDepartment of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China. Xiao65@263.com.
Beijing Jishuitan Hospital · CNBeijing Obstetrics and Gynecology Hospital · CNBeijing Sport University · CNChinese Center For Disease Control and Prevention · CNKing's College London · GBPeking University · CNShaanxi University of Chinese Medicine · CN

Funding

Beijing Hospitals Authority Youth Programme 20200402Beijing Jishuitan Hospital Elite Young Scholar Programme XKGG202122eijing Hospitals Authority Clinical Medicine Development of Special Funding ZYLX202107
6 · The paper itself

Abstract

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

methodsTwenty-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.

resultsBoth 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.

conclusionThe 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.

Indexed as

Age Determination by SkeletonHand BonesObserver VariationAdolescentChildChild, PreschoolFemaleHumansInfantMaleReproducibility of ResultsBone ageChildHandInter-rater variationRadiographTanner–Whitehouse (T-W)

Identifiers

PMID38695874
OpenAlexW4396588718

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.