Comparison of bone age assessment using manual Greulich and Pyle method versus automated BoneXpert method in South African children.
Background: The Greulich and Pyle (GP) method is the most commonly used manual bone age assessment method but it is associated with interrater variability. The BoneXpert method is fully automated, eliminates interrater variability and has been validated for use in various populations. Objectives: To...
| Publicado en: | South African Journal of Radiology Vol. 29; no. 1; pp. 1 - 11 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
African Online Scientific Information System PTY LTD
2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190688914&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190688914 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1027202X 39WP jtl: South African Journal of Radiology issn: 1027202X maglogo: N pubinfo: dt: 2025 vid: 29 iid: 1 pid: 56831 pub: African Online Scientific Information System PTY LTD place: , <Blank> artinfo: ui: 190688914 190688914 190688914 10.4102/sajr.v29i1.3033 190688914 ppf: 1 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Comparison of bone age assessment using manual Greulich and Pyle method versus automated BoneXpert method in South African children. aug: au: Minty, Radhiya Mahomed, Nasreen van Wyk, Nicole Mndebele, Gopolang Lockhat, Zarina Ranchod, Ashesh affil: Department of Radiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa sug: subj: Endocrine Diseases In Infancy and Childhood Age Determination by Skeleton In Infancy and Childhood Age Determination by Skeleton Methods Automation Artificial Intelligence South Africa Human Male Female Multicenter Studies Comparative Studies Descriptive Statistics Technology Bone and Bones Anatomy and Histology Hand Radiography Wrist Radiography Data Analysis Software Infant Child, Preschool Child Adolescence Algorithms Growth Disorders Infant: 1-23 months Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years Male Female ab: Background: The Greulich and Pyle (GP) method is the most commonly used manual bone age assessment method but it is associated with interrater variability. The BoneXpert method is fully automated, eliminates interrater variability and has been validated for use in various populations. Objectives: To compare the manual GP method with the automated BoneXpert method in performing bone age assessment of children with various paediatric endocrinology diagnoses. Method: Three manual readers performed manual bone age assessment, and BoneXpert software performed automated bone age assessment on 260 left hand-wrist radiographs. Images where the average of three manual readers (Manual BA) deviated from BoneXpert BA by > 1.5 years, were re-read by an external reader, producing a Reference BA. Manual BA was compared to Carpal BA that was produced by the software. A composite bone age (Comp BA) for the software was defined to estimate the weighting on carpal and tubular bones to achieve the best agreement with Manual BA. Results: The interclass correlation (ICC) between each manual reader was > 0.9, indicating a high positive correlation. The ICC between Manual BA and BoneXpert BA was 0.982. The Comp BA for BoneXpert that would achieve the best fit with Manual BA, places a 50% weighting on Carpal BA and 50% weighting on Tubular BA. Conclusion: The BoneXpert method is efficient, well-validated and shows a positive correlation with the manual GP method. An estimated weightage of 50% to carpal bones and 50% to tubular bones resulted in an automated Comp BA with the best agreement with Manual BA. Contribution: This original research article compares manual and automated bone age assessment methods to evaluate the use of artificial intelligence tools in the South African context. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|