An automated measurement of head circumference using CT scans: An application in children with head abnormalities

Neuroscience informatics Pub Date : 2025-06-27 DOI:10.1016/j.neuri.2025.100217

Priscila Satomi Acamine , Rafael Maffei Loureiro , Lucas dos Anjos Longas , Fabio Augusto Ribeiro Dalpra , Luigi Villanova Machado de Barros Lago , Larissa Vasconcellos de Moraes , Paulo Cesar Filho Estevam , Luiz Otávio Vittorelli , Lucas Silva Kallás , Ana Paula Antunes Pascalicchio Bertozzi , Maria Isabel Barros Guinle , Gilberto Szarf , Saulo Duarte Passos , Birajara Soares Machado , Joselisa Péres Queiroz De Paiva

{"title":"An automated measurement of head circumference using CT scans: An application in children with head abnormalities","authors":"Priscila Satomi Acamine , Rafael Maffei Loureiro , Lucas dos Anjos Longas , Fabio Augusto Ribeiro Dalpra , Luigi Villanova Machado de Barros Lago , Larissa Vasconcellos de Moraes , Paulo Cesar Filho Estevam , Luiz Otávio Vittorelli , Lucas Silva Kallás , Ana Paula Antunes Pascalicchio Bertozzi , Maria Isabel Barros Guinle , Gilberto Szarf , Saulo Duarte Passos , Birajara Soares Machado , Joselisa Péres Queiroz De Paiva","doi":"10.1016/j.neuri.2025.100217","DOIUrl":null,"url":null,"abstract":"<div><div>Manual measurement of head circumference has been a widely adopted method of neurodevelopmental evaluation in both clinical and research settings. Here, we propose a method that uses axial slices of computerized tomography (CT) scans to detect the largest outer margin for measurement. Our method can both complement conventional tape measurements or be applied as a standalone tool, especially in the context of retrospective big data analysis. We applied our algorithm in a set of 74 head CT scans obtained from individual children (8,5 ± 14,1 months old). The method proved to be concordant <span><math><mo>(</mo><mrow><mi>ICC</mi></mrow><mo>[</mo><mn>2</mn><mo>,</mo><mi>k</mi><mo>]</mo><mo>=</mo><mn>0.99</mn><mo>)</mo></math></span>, consistent (<span><math><mrow><mi>ICC</mi></mrow><mo>[</mo><mn>3</mn><mo>,</mo><mi>k</mi><mo>]</mo></math></span> = 1), and showed a correlation of 0.988 compared to obtaining manual head circumferences by specialists. Our method is a reliable alternative to conventional manual measurements of head circumference. It can be readily applied in macrocephaly and microcephaly screening studies and in growth reference charts for syndromes related to head alterations.</div></div>","PeriodicalId":74295,"journal":{"name":"Neuroscience informatics","volume":"5 3","pages":"Article 100217"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience informatics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772528625000329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Manual measurement of head circumference has been a widely adopted method of neurodevelopmental evaluation in both clinical and research settings. Here, we propose a method that uses axial slices of computerized tomography (CT) scans to detect the largest outer margin for measurement. Our method can both complement conventional tape measurements or be applied as a standalone tool, especially in the context of retrospective big data analysis. We applied our algorithm in a set of 74 head CT scans obtained from individual children (8,5 ± 14,1 months old). The method proved to be concordant

(ICC [2, k] = 0.99)

, consistent (

ICC [3, k]

= 1), and showed a correlation of 0.988 compared to obtaining manual head circumferences by specialists. Our method is a reliable alternative to conventional manual measurements of head circumference. It can be readily applied in macrocephaly and microcephaly screening studies and in growth reference charts for syndromes related to head alterations.

Abstract Image

查看原文本刊更多论文

使用CT扫描自动测量头围：在头部异常儿童中的应用

人工测量头围已成为临床和研究中广泛采用的神经发育评估方法。在这里，我们提出了一种使用计算机断层扫描（CT）轴向切片来检测测量的最大外缘的方法。我们的方法既可以补充传统的卷尺测量，也可以作为一个独立的工具应用，特别是在回顾性大数据分析的背景下。我们将我们的算法应用于74份来自个体儿童（8.5±14.1个月）的头部CT扫描。该方法被证明是一致的（ICC[2,k]=0.99），一致的（ICC[3,k] = 1），与专家手工获得的头部周长相比，显示出0.988的相关性。我们的方法是一个可靠的替代传统的手工测量头围。它可以很容易地应用于大头畸形和小头畸形的筛查研究以及与头部改变相关的综合征的生长参考图表。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Neuroscience informatics Surgery, Radiology and Imaging, Information Systems, Neurology, Artificial Intelligence, Computer Science Applications, Signal Processing, Critical Care and Intensive Care Medicine, Health Informatics, Clinical Neurology, Pathology and Medical Technology

自引率

0.00%

发文量

审稿时长

57 days