Quinzi Vincenzo, Polizzi Alessandro, Ronsivalle Vincenzo, Santonocito Simona, Conforte Cristina, Manenti Rebecca Jewel, Isola Gaetano, Lo Giudice Antonino
Department of Life, Health & Environmental Sciences, Postgraduate School of Orthodontics, University of L'Aquila, 67100 L'Aquila, Italy.
Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, University of Catania, 95124 Catania, Italy.
Children (Basel). 2022 Sep 14;9(9):1390. doi: 10.3390/children9091390.
The aim of the study was to systematically review and compare the accuracy of smartphone scanners versus stereophotogrammetry technology for facial digitization in children. A systematic literature search strategy of articles published from 1 January 2010 to 30 August 2022 was adopted through a combination of Mesh terms and free text words pooled through boolean operators on the following databases: PubMed, Scopus, Web of Science, Cochrane Library, LILACS, and OpenGrey. Twenty-three articles met the inclusion criteria. Stationary stereophotogrammetry devices showed a mean accuracy that ranged from 0.087 to 0.860 mm, portable stereophotogrammetry scanners from 0.150 to 0.849 mm, and smartphones from 0.460 to 1.400 mm. Regarding the risk of bias assessment, fourteen papers showed an overall low risk, three articles had unclear risk and four articles had high risk. Although smartphones showed less performance on deep and irregular surfaces, all the analyzed devices were sufficiently accurate for clinical application. Internal depth-sensing cameras or external infrared structured-light depth-sensing cameras plugged into smartphones/tablets increased the accuracy. These devices are portable and inexpensive but require greater operator experience and patient compliance for the incremented time of acquisition. Stationary stereophotogrammetry is the gold standard for greater accuracy and shorter acquisition time, avoiding motion artifacts.
本研究的目的是系统回顾和比较智能手机扫描仪与立体摄影测量技术在儿童面部数字化方面的准确性。通过将医学主题词(Mesh词)和自由文本词相结合,并使用布尔运算符在以下数据库中进行检索,采用系统的文献检索策略,检索2010年1月1日至2022年8月30日发表的文章:PubMed、Scopus、科学网、考克兰图书馆、拉丁美洲和加勒比卫生科学数据库(LILACS)以及OpenGrey。23篇文章符合纳入标准。固定式立体摄影测量设备的平均精度范围为0.087至0.860毫米,便携式立体摄影测量扫描仪为0.150至0.849毫米,智能手机为0.460至1.400毫米。关于偏倚风险评估,14篇论文显示总体风险较低,3篇文章风险不明确,4篇文章风险较高。尽管智能手机在深层和不规则表面上的表现较差,但所有分析的设备在临床应用中都具有足够的准确性。插入智能手机/平板电脑的内置深度感应摄像头或外部红外结构光深度感应摄像头可提高准确性。这些设备便于携带且价格低廉,但由于采集时间增加,需要操作人员具备更丰富的经验和患者更好的配合。固定式立体摄影测量因具有更高的准确性和更短的采集时间,且能避免运动伪影,是金标准。