Guneri Pelin, Epstein Joel B, Ilhan Betul, Kaya Aslıhan, Boyacioglu Hayal
University, School of Dentistry, Department of Oral Diagnosis and Radiology, Izmir, Turkey.
Quintessence Int. 2013;44(8):619-27. doi: 10.3290/j.qi.a29510.
Color perception is an important variable in detecting and assessing oral conditions. The aim was to investigate clinicians' perception of toluidine blue (Tblue) staining compared to digital color analysis, which may impact mucosal lesion detection, affect the decision to biopsy, and biopsy site selection.
Four oral lesions were stained with Tblue. Digital color analyses of eight areas on each image were completed and were considered as "gold standard" (GS). Twenty specialists ranked these areas according to their perceived intensity of blue stain in two sessions.
Consistency between GS and observers rankings was 0.8791. However, more than half of the observers inaccurately perceived the intermediate blue tones. Overall interobserver agreement was 0.8714; stability between two sessions decreased to 45% for intermediate tones.
Assessing the equivocal blueness of an oral mucosal lesion in clinical settings may vary due to variation in visual perception. A digital method for objective color analysis in clinical practice may be used to eliminate this deficiency by implementing a mathematical formula.
颜色感知是检测和评估口腔状况的一个重要变量。本研究旨在调查临床医生对甲苯胺蓝(Tblue)染色的感知,并与数字颜色分析进行比较,这可能会影响黏膜病变的检测、活检决策以及活检部位的选择。
对四个口腔病变进行Tblue染色。对每个图像上的八个区域进行数字颜色分析,并将其视为“金标准”(GS)。二十名专家分两个阶段根据他们所感知的蓝色染色强度对这些区域进行排名。
GS与观察者排名之间的一致性为0.8791。然而,超过一半的观察者对中间蓝色调的感知不准确。观察者间的总体一致性为0.8714;中间色调在两个阶段之间的稳定性降至45%。
在临床环境中评估口腔黏膜病变的模糊蓝色可能因视觉感知的差异而有所不同。临床实践中一种用于客观颜色分析的数字方法可通过应用数学公式来消除这一缺陷。