Methods to Quantify Soft Tissue–Based Cranial Growth and Treatment Outcomes in Children: A Systematic Review

Sander Brons, Machteld E van Beusichem, Ewald M Bronkhorst, Jos M Draaisma, Stefaan J Bergé, Jan G Schols and Anne Marie Kuijpers-Jagtman

PLOS ONE, 2014, vol. 9, issue 2, 1-1

Abstract: Context: Longitudinal assessment of cranial dimensions of growing children provides healthcare professionals with information about normal and deviating growth as well as treatment outcome. Objective: To give an overview of soft tissue–based methods for quantitative longitudinal assessment of cranial dimensions in children until age 6 years and to assess the reliability of these methods in studies with good methodological quality. Data source: PubMed, EMBASE, Cochrane Library, Web of Science, Scopus, and CINAHL were searched. A manual search was performed to check for additional relevant studies. Study selection: Primary publications on facial growth and treatment outcomes in children younger than age 6 years were included. Data extraction: Independent data extraction was performed by two observers. A quality assessment instrument was used to determine methodological quality. Methods used in studies with good methodological quality were assessed for reliability expressed as the magnitude of the measurement error and the correlation coefficient between repeated measurements. Results: In total, 165 studies were included, forming three groups of methods: head circumference anthropometry, direct anthropometry, and 2D photography and 3D imaging techniques (surface laser scanning and stereophotogrammetry). In general, the measurement error was below 2 mm, and correlation coefficients were very good. Conclusion: Various methods for measuring cranial dimensions have shown to be reliable. Stereophotogrammetry is the most versatile method for quantitative longitudinal assessment of cranial dimensions and shapes in children. However, direct anthropometry continues to be the best method for routine clinical assessments of linear cranial dimensions in growing children until age 6 years.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0089602

DOI: 10.1371/journal.pone.0089602

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