Romero Maria Jacinta Rosario H, Ungar Peter S, Fried Daniel, Lippert Frank, Zero Domenick T, Zunt Susan, Eckert George J, Gossweiler Ana Gutierrez, Elkington-Stauss Dylan Jacob, Tamayo-Cabeza Guillermo, Kelly Adam B, Bartels Troy, Kita Camille, Wewers Elizabeth, Hara Anderson T
Department of Cariology, Operative Dentistry and Dental Public Health, Indiana University School of Dentistry, Indianapolis, IN 46202, USA.
Restorative Dentistry Section, Department of Clinical Dental Health Sciences, College of Dentistry, University of the Philippines Manila, Manila 1007, Philippines.
Diagnostics (Basel). 2023 Aug 2;13(15):2568. doi: 10.3390/diagnostics13152568.
This study proposed using enamel surface texture and thickness for the objective detection and monitoring of erosive tooth wear (ETW), comparing them to the standard subjective Basic Erosive Wear Evaluation (BEWE). Thirty-two subjects ( = 597 teeth) were enrolled in this longitudinal observational clinical study. Enamel thickness (by cross-polarization optical coherence tomography, CP-OCT) and 3D dental microwear parameters, i.e., area-scale fractal complexity (Asfc), anisotropy (Str), and roughness (Sa) (by white-light scanning confocal profilometry), were obtained from buccal surfaces. Buccal, occlusal, and lingual surfaces were scored for BEWE and the maximum score per tooth (BEWE) was determined at baseline and 12 months (M12). Data outcome relationships were evaluated (alpha = 0.05). Enamel thickness decreased ( < 0.001), BEWE scores, Sa, and Str increased ( < 0.001), while Asfc did not change at M12. Baseline BEWE correlated strongly with BEWE (r = 0.86, < 0.001) and moderately with BEWE (r = 0.42, < 0.001), but not with enamel thickness (r = 0.03, = 0.43). Change (Δ) in surface texture outcomes correlated poorly but significantly with ΔBEWE (r = -0.15-0.16, < 0.001) and did not correlate with Δenamel thickness (r = 0.02-0.09, > 0.06). Teeth with BEWE progression revealed a greater increase in ΔSa and ΔStr. These findings suggest that enamel surface roughness can potentially determine ETW severity, and CP-OCT may be relevant for clinically monitoring enamel thickness.
本研究提议利用牙釉质表面纹理和厚度对侵蚀性牙齿磨损(ETW)进行客观检测和监测,并将其与标准的主观基本侵蚀性磨损评估(BEWE)进行比较。32名受试者(共597颗牙齿)参与了这项纵向观察性临床研究。通过交叉偏振光学相干断层扫描(CP-OCT)获取牙釉质厚度,并通过白光扫描共聚焦轮廓仪获取颊面的三维牙齿微磨损参数,即面积尺度分形复杂度(Asfc)、各向异性(Str)和粗糙度(Sa)。对颊面、咬合面和舌面进行BEWE评分,并在基线和12个月(M12)时确定每颗牙齿的最高评分(BEWE)。评估数据结果之间的关系(α = 0.05)。在M12时,牙釉质厚度降低(P < 0.001),BEWE评分、Sa和Str升高(P < 0.001),而Asfc没有变化。基线BEWE与M12时的BEWE高度相关(r = 0.86,P < 0.001),与M12时的BEWE中度相关(r = 0.42,P < 0.001),但与牙釉质厚度无关(r = 0.03,P = 0.43)。表面纹理结果的变化(Δ)与ΔBEWE的相关性较差但显著(r = -0.15 - 0.16,P < 0.001),与Δ牙釉质厚度无关(r = 0.02 - 0.09,P > 0.06)。BEWE有进展的牙齿在ΔSa和ΔStr方面有更大的增加。这些发现表明,牙釉质表面粗糙度可能潜在地决定ETW的严重程度,并且CP-OCT可能与临床上监测牙釉质厚度相关。