Department of Oral Pathology and Microbiology, KLE VK Institute of Dental Sciences and Hospital, Constituent Unit of KLE Academy of Higher Education and Research Belgaum. Karnataka - India.
J Forensic Odontostomatol. 2023 Apr 30;41(1):57-64.
Geometric morphometrics is a novel statistical shape based technique used as an additional approach to the currently used methods in forensics for the assessment of age. Various craniofacial units are used for the estimation of age using this technique. The aim of this systematic review was to assess if Geometric Morphometrics is an accurate and reliable method in craniofacial skeletal age estimation. A literature search was conducted for cross-sectional studies on geometric morphometrics in craniofacial skeletal age estimation using various search engines such as Pubmed, Google Scholar, and Scopus using specific MESH terms. AQUA (Anatomical Quality Assessment) tool was used for the quality assessment. A total of 4 articles were included for qualitative synthesis as they met the objectives of this review. The results of all the included studies suggested that geometric morphometrics can be used for craniofacial skeletal age estimation. The centroid size calculated using digitized images or CBCT scanned images is said to be the highest predictor of age.This systematic review summarises the merits and demerits of this technique and suggests that it is rapid and accurate method for age estimation even in instances of single skeletal remains of craniofacial units and can be performed on a digitized image or a CBCT scanned images. However, further studies are needed to derive reliable data and meta-analysis can be performed effectively.
几何形态测量学是一种新颖的基于统计学的形状分析技术,可作为目前法医鉴定中年龄评估方法的补充手段。该技术使用各种颅面单位来估计年龄。本系统评价旨在评估几何形态测量学是否是颅面骨骼年龄评估中一种准确可靠的方法。使用 Pubmed、Google Scholar 和 Scopus 等搜索引擎,针对几何形态测量学在颅面骨骼年龄评估中的应用进行了横断面研究的文献检索,并使用特定的 MESH 术语。使用 AQUA(解剖质量评估)工具进行质量评估。共有 4 篇文章被纳入定性综合分析,因为它们符合本综述的目标。所有纳入研究的结果表明,几何形态测量学可用于颅面骨骼年龄评估。使用数字化图像或 CBCT 扫描图像计算的质心大小被认为是年龄的最佳预测因子。本系统评价总结了该技术的优缺点,并提出它是一种快速准确的年龄估计方法,即使在单个颅面骨骼单位的情况下也能适用,并且可以在数字化图像或 CBCT 扫描图像上进行。然而,还需要进一步的研究来获得可靠的数据,并且可以有效地进行荟萃分析。