IPC - Institute for Polymers and Composites, University of Minho, Azurém Campus, Guimarães, 4804-058, Portugal.
FMDUP - Faculdade de Medicina Dentária da Universidade do Porto, Porto, 4200-393, Portugal.
BMC Oral Health. 2024 Jan 16;24(1):87. doi: 10.1186/s12903-023-03848-5.
Numerous studies have demonstrated a high likelihood of malocclusions resulting from non-nutritive sucking. Consequently, quantifying the impact of pacifiers can potentially aid in preventing the development or exacerbation of malocclusions and guide the design of improved performance pacifiers.
This work proposes and assesses a computational methodology that can effectively gather crucial information and provide more precise data regarding the consequences of non-nutritive pacifier sucking. The computational framework utilized is based on solids4Foam [1, 2], a collection of numerical solvers developed within the OpenFOAM® computational library [3]. The computational model focuses on the palate of a six-month-old baby and incorporates various components such as palate tissues, pacifier and tongue, and considers the negative intraoral pressure generated and the tongue displacement. Different models were tested, each offering varying levels of detail in representing the palate structure. These models range from a simplified approach, with one tissue, to a more intricate representation, involving up to five different tissues, offering a more comprehensive palate model compared to existing literature.
The analysis of results involved examining the distribution of stress on the palate surface, as well as the displacement and forces exerted on the dental crowns. By comparing the obtained results, it was possible to evaluate the precision of the approaches previously described in the literature. The findings revealed that the predictions were less accurate when using the simplified model with a single tissue for the palate, which is the most common approach proposed in the literature. In contrast, the results demonstrated that the palate model with the most intricate structure, incorporating five different tissues, yielded distinct outcomes compared to all other combinations.
The computational methodology proposed, employing the most detailed palate model, has demonstrated its effectiveness and necessity in obtaining accurate data on the impact of non-nutritive sucking habits, which are recognized as a primary contributor to the development of dental malocclusions. In the future, this approach could be extended to conduct similar studies encompassing diverse pacifier designs, sizes, and age groups. This would foster the design of innovative pacifiers that mitigate the adverse effects of non-nutritive sucking on orofacial structures.
大量研究表明,非营养性吸吮极有可能导致错颌畸形。因此,量化安抚奶嘴的影响可能有助于预防错颌畸形的发展或加重,并指导设计性能改进的安抚奶嘴。
本工作提出并评估了一种计算方法,该方法可以有效地收集关于非营养性奶嘴吸吮后果的重要信息,并提供更精确的数据。所使用的计算框架基于 solids4Foam[1,2],这是 OpenFOAM®计算库[3]中开发的一系列数值求解器。计算模型集中在六个月大婴儿的上颚,并包含各种组件,如上颚组织、奶嘴和舌头,并考虑了产生的负口腔内压力和舌头位移。测试了不同的模型,每个模型在表示上颚结构方面都有不同的细节水平。这些模型从一个组织的简化方法到涉及多达五个不同组织的更复杂表示,与现有文献相比提供了更全面的上颚模型。
结果分析涉及检查上颚表面的应力分布,以及对牙冠施加的位移和力。通过比较获得的结果,可以评估文献中先前描述的方法的精度。研究结果表明,当使用简化模型对上颚使用单个组织时,预测精度较低,这是文献中最常见的方法。相比之下,结果表明,包含五个不同组织的最复杂结构的上颚模型与所有其他组合相比产生了明显不同的结果。
所提出的计算方法,使用最详细的上颚模型,已证明其在获得非营养性吸吮习惯影响的准确数据方面的有效性和必要性,这些习惯被认为是导致牙齿错颌畸形的主要原因。在未来,这种方法可以扩展到进行类似的研究,涵盖不同的奶嘴设计、尺寸和年龄组。这将促进设计创新的奶嘴,减轻非营养性吸吮对上颚结构的不利影响。