Sophie C. Visser , Marcella Zijta , Jermo Hanemaaijer-van der Veer , Daniël Docter , Yousif Dawood , Roelof-Jan Oostra , Eva Pajkrt , Bernadette S. de Bakker
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引用次数: 0
Abstract
Background
The primary ossification of skeletal structures occurs predominantly in-utero. For this reason, knowledge of skeletal development is based on clinical imaging methods (e.g. ultrasound, or in rare cases MRI), or derived from archaeological or forensic specimens with an unknown fetal age. To accurately estimate age-at-death in forensic cases, further knowledge of skeletal development is essential.
The primary ossification of skeletal structures occurs predominantly in-utero. For this reason, knowledge of skeletal development is based on clinical imaging methods (e.g. ultrasound, or in rare cases MRI), or derived from archaeological or forensic specimens with an unknown fetal age. To accurately estimate age-at-death in forensic cases, further knowledge of skeletal development is essential.
Methods
Thirty-four healthy human fetuses (9-24 weeks gestational age) previously donated to the Dutch Fetal Biobank after termination of pregnancy have undergone diffusible iodine-based contrast enhancement and micro-CT scanning. All cartilaginous and ossified skeletal elements were first segmented using in-house-developed AI tools, after which the segmentations were manually verified and adjusted in Dragonfly 3D World. Additional micro-CT scans without contrast enhancement of healthy human fetuses were used to further characterize the timing of ossification onset and to quantify the size and morphology of primary ossification centres.
Thirty-four healthy human fetuses (9-24 weeks gestational age) previously donated to the Dutch Fetal Biobank after termination of pregnancy have undergone diffusible iodine-based contrast enhancement and micro-CT scanning. All cartilaginous and ossified skeletal elements were first segmented using in-house-developed AI tools, after which the segmentations were manually verified and adjusted in Dragonfly 3D World. Additional micro-CT scans without contrast enhancement of healthy human fetuses were used to further characterize the timing of ossification onset and to quantify the size and morphology of primary ossification centres.
Expected Results
We will provide quantifications and morphological visualisations of the developing human fetus. Growth curves with prediction intervals will be developed based on size and ossification onsets for all major long bones, providing robust quantitative references for early skeletal development. Also, the size and morphology of primary ossification centres together with the timing of ossification onset will be characterized over gestational ages.
We will provide quantifications and morphological visualisations of the developing human fetus. Growth curves with prediction intervals will be developed based on size and ossification onsets for all major long bones, providing robust quantitative references for early skeletal development. Also, the size and morphology of primary ossification centres together with the timing of ossification onset will be characterized over gestational ages.
Conclusions
With this project we will develop a comprehensive source on fetal skeletal growth and development, providing three-dimensional morphological visualisations, ossification onsets, and growth curves of human fetuses at nine to 24 weeks of gestation.
With this project we will develop a comprehensive source on fetal skeletal growth and development, providing three-dimensional morphological visualisations, ossification onsets, and growth curves of human fetuses at nine to 24 weeks of gestation.
背景:骨骼结构的初始骨化主要发生在子宫内。由于这个原因,骨骼发育的知识是基于临床成像方法(如超声,或在极少数情况下MRI),或来自未知胎儿年龄的考古或法医标本。为了在法医案件中准确估计死亡年龄,进一步了解骨骼发育是必不可少的。骨骼结构的初始骨化主要发生在子宫内。由于这个原因,骨骼发育的知识是基于临床成像方法(如超声,或在极少数情况下MRI),或来自未知胎儿年龄的考古或法医标本。为了在法医案件中准确估计死亡年龄,进一步了解骨骼发育是必不可少的。方法对34例妊娠终止后捐献给荷兰胎儿生物库的健康胎儿(9-24周胎龄)进行弥散性碘增强和微ct扫描。所有软骨和骨化的骨骼元素首先使用内部开发的AI工具进行分割,然后在Dragonfly 3D World中手动验证和调整分割。另外,对健康人类胎儿进行微ct扫描,不增强对比,以进一步表征骨化发生的时间,并量化原发性骨化中心的大小和形态。妊娠终止后捐献给荷兰胎儿生物库的34例健康胎儿(9-24周胎龄)接受了弥散性碘增强和微ct扫描。所有软骨和骨化的骨骼元素首先使用内部开发的AI工具进行分割,然后在Dragonfly 3D World中手动验证和调整分割。另外,对健康人类胎儿进行微ct扫描,不增强对比,以进一步表征骨化发生的时间,并量化原发性骨化中心的大小和形态。我们将提供发育中的人类胎儿的定量和形态学可视化。将根据所有主要长骨的大小和骨化发作来开发具有预测区间的生长曲线,为早期骨骼发育提供可靠的定量参考。此外,初始骨化中心的大小和形态以及骨化发生的时间将在胎龄期间被表征。我们将提供发育中的人类胎儿的定量和形态学可视化。将根据所有主要长骨的大小和骨化发作来开发具有预测区间的生长曲线,为早期骨骼发育提供可靠的定量参考。此外,初始骨化中心的大小和形态以及骨化发生的时间将在胎龄期间被表征。通过本项目,我们将建立一个关于胎儿骨骼生长和发育的综合资源,提供人类胎儿在妊娠9至24周的三维形态可视化、骨化发生和生长曲线。通过这个项目,我们将开发一个关于胎儿骨骼生长和发育的综合资源,提供人类胎儿在妊娠9至24周的三维形态可视化、骨化发病和生长曲线。