Data-driven Normative Reference of Pediatric Cranial Bone Development.
Data-driven Normative Reference of Pediatric Cranial Bone Development.
复制标题
小儿颅骨发育的数据驱动规范性参考。
DOI：
10.1097/gox.0000000000004457
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发表时间：
2022-08
影响因子：
1.5
通讯作者：
Porras, Antonio R.
中科院分区：
文献类型：
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作者：
Liu, Jiawei;Elkhill, Connor;LeBeau, Scott;French, Brooke;Lepore, Natasha;Linguraru, Marius George;Porras, Antonio R.
由于缺乏大型数据集，颅骨发育和缝合融合的可用规范参考不完整或基于简化的假设。我们提出了一个完全数据驱动的规范模型，该模型代表了出生至 10 岁时颅骨每个位置的骨骼形状、厚度和密度的年龄和性别特异性变异性。该模型是使用横截面和多机构儿科计算机断层扫描图像数据集构建的，其中包含 2068 名无颅骨病理的受试者（年龄 0-10 岁）。我们结合主成分分析和时间回归，建立了颅骨每个位置颅骨发育的统计模型。我们研究了性别对颅骨生长的影响，我们的骨密度模型首次允许将缝合融合作为一个连续的时间过程进行量化。我们使用 51 名受试者的独立纵向图像数据集评估了模型的预测准确性。我们的模型在颅骨形状、厚度和矿物质密度变化方面分别实现了 2.98±0.69mm、0.27±0.29mm 和 76.72±91.50 HU 的时间预测误差。颅内容积和骨表面积存在显着的性别差异（P < 0.01）。在头颅指数、骨厚度、矿物质密度或缝线融合方面没有发现显着差异。我们提出了第一个针对局部颅骨形状、厚度和矿物质密度变化的儿科年龄和性别特异性统计参考。我们使用独立的纵向数据集展示了其预测准确性，我们研究了与性别相关的发育差异，并将缝线融合量化为一个连续的过程。
Available normative references of cranial bone development and suture fusion are incomplete or based on simplified assumptions due to the lack of large datasets. We present a fully data-driven normative model that represents the age- and sex-specific variability of bone shape, thickness, and density between birth and 10 years of age at every location of the calvaria. The model was built using a cross-sectional and multi-institutional pediatric computed tomography image dataset with 2068 subjects without cranial pathology (age 0–10 years). We combined principal component analysis and temporal regression to build a statistical model of cranial bone development at every location of the calvaria. We studied the influences of sex on cranial bone growth, and our bone density model allowed quantifying for the first time suture fusion as a continuous temporal process. We evaluated the predictive accuracy of our model using an independent longitudinal image dataset of 51 subjects. Our model achieved temporal predictive errors of 2.98 ± 0.69 mm, 0.27 ± 0.29 mm, and 76.72 ± 91.50 HU in cranial bone shape, thickness, and mineral density changes, respectively. Significant sex differences were found in intracranial volume and bone surface areas (P < 0.01). No significant differences were found in cephalic index, bone thickness, mineral density, or suture fusion. We presented the first pediatric age- and sex-specific statistical reference for local cranial bone shape, thickness, and mineral density changes. We showed its predictive accuracy using an independent longitudinal dataset, we studied developmental differences associated with sex, and we quantified suture fusion as a continuous process.