Kuralt Marko, Gašperšič Rok, Fidler Aleš
Department of Restorative Dentistry and Endodontics, University Medical Centre Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Slovenia.
Department of Oral Medicine and Periodontology, Faculty of Medicine, University of Ljubljana, Slovenia; Department of Oral Medicine and Periodontology, University Medical Centre Ljubljana, Slovenia.
J Dent. 2022 Mar;118:103793. doi: 10.1016/j.jdent.2021.103793. Epub 2021 Sep 3.
The aim of the present review was to find, compare, and critically discuss digital methods for quantitative evaluation of gingival recessions dimensions.
Collection of articles and classification related to digital evaluation of gingival recessions.
A search of PubMed, Web of Science, Scopus, and reference lists of articles was conducted up to April 2021.
Twenty-two articles used digital evaluation of gingival recessions dimensions. The methods in the included articles were extracted, compared, and categorized.
Digital measurements were performed on 2D intraoral photographs, 3D models, or cross-sections obtained from 3D models. Baseline measurement were performed for diagnostic and treatment planning and categorised into distance and area measurements. Follow-up evaluation of treatment was based either on repeating the "baseline" measurements and calculating differences or measuring differences directly on composite images, composed from two superimposed images obtained at two time-points. Direct measurements were categorised into distance, area, and volume measurements.
Digital evaluation predominantly means just digitalization of the established evaluation methods; therefore, increasing measurements accuracy and maintaining comparability with past studies. At present, a large variability of digital evaluation workflow among the included studies renders the comparison among different studies difficult if not impossible. The potential of digital evaluation seems not to have been fully exploited as only a few novel measurements and parameters introduced, i.e., volumetric evaluation of soft tissue dynamics. For reproducible and comparable studies in the future, the research should be aimed at evaluation, optimization and standardization of all phases of the digital evaluation.
Digital evaluation, based on 3D image superimposition is a promising approach as it increases measurements accuracy, maintains compatibility with past studies and simultaneously introduces novel evaluation possibilities.
本综述的目的是寻找、比较并批判性地讨论牙龈退缩尺寸定量评估的数字方法。
收集与牙龈退缩数字评估相关的文章并进行分类。
截至2021年4月，对PubMed、科学网、Scopus以及文章的参考文献列表进行了检索。
22篇文章使用了牙龈退缩尺寸的数字评估。提取、比较并分类纳入文章中的方法。
在二维口腔内照片、三维模型或从三维模型获得的横截面进行数字测量。进行基线测量以用于诊断和治疗计划，并分为距离测量和面积测量。治疗的随访评估要么基于重复“基线”测量并计算差异，要么直接在由两个时间点获得的两个叠加图像组成的合成图像上测量差异。直接测量分为距离、面积和体积测量。
数字评估主要意味着既定评估方法的数字化；因此，提高了测量准确性并保持了与过去研究的可比性。目前，纳入研究中数字评估工作流程的巨大差异使得不同研究之间的比较即使不是不可能，也很困难。数字评估的潜力似乎尚未得到充分利用，因为仅引入了少数新颖的测量方法和参数，即软组织动力学的体积评估。为了未来进行可重复和可比的研究，应致力于数字评估所有阶段的评估、优化和标准化。
基于三维图像叠加的数字评估是一种很有前景的方法，因为它提高了测量准确性，与过去的研究保持兼容性，同时引入了新的评估可能性。
