Dental Materials Science, Division of Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Prince Philip Dental Hospital, Sai Ying Pun, Hong Kong.
Department of Orthodontics, Dental School, University of Brescia, Brescia, Italy.
Anat Rec (Hoboken). 2019 Dec;302(12):2156-2163. doi: 10.1002/ar.24230. Epub 2019 Sep 13.
Sutures are greatly involved in both normal craniofacial growth and developmental anomalies. Having clear parameters for defining their morphology is fundamental to properly investigate their physiological or pathological development. However, the current literature is lacking of well-defined methods for the assessment of these structures. This study performed a comprehensive microcomputed tomography (μCT) analysis of a swine model evaluating morphological variation of sutures in different skull regions. Seventy-two suture samples were removed from one swine (Sus scrofa), approximately 9-12-month-old. Each sample was analyzed with μCT in the parallel (PAR) and perpendicular (PER) plane with respect to the bone surface. Suture width (S ), linear obliteration index (LOI), and linear interdigitation index (LII) were calculated in each of the two reference planes, and sutures were categorized in four types (S ). Parameters were compared among the facial, craniofacial, and cranial region. Description of the main morphological parameters was provided, and differences were found between the parallel and perpendicular planes. S varied depending on the skull region, with simple sutures more represented in the cranial region. LII in the perpendicular plane decreased from facial to craniofacial and cranial region. S in the parallel plane decreased from facial and craniofacial to cranial region. In the swine model, the sutural width, linear interdigitation, and suture type were related to distinct skull regions. The suture type was introduced to allow a better morphological characterization of sutures as 3D structures. Clear definition of sutural parameters is important for appropriate description of these complex structures. Anat Rec, 302:2156-2163, 2019. © 2019 American Association for Anatomy.
缝线广泛参与正常颅面生长和发育异常。明确定义其形态的参数对于正确研究其生理或病理发育至关重要。然而,目前的文献缺乏评估这些结构的明确方法。本研究通过对猪模型进行全面的微计算机断层扫描(μCT)分析,评估了不同颅骨区域缝线的形态变异。从一头约 9-12 个月大的猪(Sus scrofa)中取出 72 个缝线样本。每个样本均在平行(PAR)和垂直(PER)平面相对于骨表面进行μCT 分析。在两个参考平面中的每一个平面中计算缝线宽度(S )、线性闭塞指数(LOI)和线性交织指数(LII),并将缝线分为四类(S )。比较了面部、颅面和颅区的参数。提供了主要形态参数的描述,并发现了平行和垂直平面之间的差异。S 取决于颅骨区域,简单缝线在颅区更为常见。垂直平面中的 LII 从面部到颅面和颅区逐渐减少。平行平面中的 S 从面部和颅面区到颅区逐渐减少。在猪模型中,缝线宽度、线性交织和缝线类型与不同的颅骨区域相关。引入缝线类型是为了允许更好地对缝线作为 3D 结构进行形态特征描述。明确缝线参数的定义对于正确描述这些复杂结构非常重要。解剖学记录,302:2156-2163,2019。©2019 美国解剖学会。