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胎儿期人类小脑发育的数学模型。

Mathematical models of human cerebellar development in the fetal period.

作者信息

Dudek Krzysztof, Nowakowska-Kotas Marta, Kędzia Alicja

机构信息

Faculty of Mechanical Engineering, Technical University of Wrocław, Wrocław, Poland.

Department of Neurology, Wrocław Medical University, Wrocław, Poland.

出版信息

J Anat. 2018 Apr;232(4):596-603. doi: 10.1111/joa.12767. Epub 2018 Jan 8.

Abstract

The evaluation of cerebellar growth in the fetal period forms a part of a widely used examination to identify any features of abnormalities in early stages of human development. It is well known that the development of anatomical structures, including the cerebellum, does not always follow a linear model of growth. The aim of the study was to analyse a variety of mathematical models of human cerebellar development in fetal life to determine their adequacy. The study comprised 101 fetuses (48 males and 53 females) between the 15th and 28th weeks of fetal life. The cerebellum was exposed and measurements of the vermis and hemispheres were performed, together with statistical analyses. The mathematical model parameters of fetal growth were assessed for crown-rump length (CRL) increases, transverse cerebellar diameter and ventrodorsal dimensions of the cerebellar vermis in the transverse plane, and rostrocaudal dimensions of the cerebellar vermis and hemispheres in the frontal plane. A variety of mathematical models were applied, including linear and non-linear functions. Taking into consideration the variance between models and measurements, as well as correlation parameters, the exponential and Gompertz models proved to be the most suitable for modelling cerebellar growth in the second and third trimesters of pregnancy. However, the linear model gave a satisfactory approximation of cerebellar growth, especially in older fetuses. The proposed models of fetal cerebellar growth constructed on the basis of anatomical examination and objective mathematical calculations could be useful in the estimation of fetal development.

摘要

胎儿期小脑生长的评估是一项广泛应用的检查的一部分,用于识别人类发育早期的任何异常特征。众所周知,包括小脑在内的解剖结构的发育并不总是遵循线性生长模型。本研究的目的是分析胎儿期人类小脑发育的各种数学模型,以确定其适用性。该研究包括101例孕15至28周的胎儿(48例男性和53例女性)。暴露小脑并进行蚓部和半球的测量,同时进行统计分析。评估胎儿生长的数学模型参数,包括顶臀长度(CRL)增加、小脑横径以及小脑蚓部在横平面上的腹背维度,还有小脑蚓部和半球在额平面上的前后维度。应用了多种数学模型,包括线性和非线性函数。考虑到模型与测量值之间的差异以及相关参数,指数模型和冈珀茨模型被证明最适合用于模拟妊娠中期和晚期的小脑生长。然而,线性模型对小脑生长给出了令人满意的近似值,尤其是在较大的胎儿中。基于解剖学检查和客观数学计算构建的胎儿小脑生长模型,可能有助于评估胎儿发育。

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本文引用的文献

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Pattern formation during development of the embryonic cerebellum.胚胎小脑发育过程中的模式形成。
Front Neuroanat. 2012 Apr 4;6:10. doi: 10.3389/fnana.2012.00010. eCollection 2012.
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