Private Specialist Paediatric Dental Surgeon, Mumbai, India.
Int J Paediatr Dent. 2010 Jul;20(4):293-304. doi: 10.1111/j.1365-263X.2010.01053.x.
Existing indices to quantify tooth discolouration are mostly aetiology-specific. An index of tooth appearance (IOTA), derived from all types of tooth discolouration and surface defects, would allow the quantification of attractiveness for psychological assessment and treatment planning
To develop a perception based IOTA for quantification of all forms of tooth discolouration and surface defects.
One hundred images of discoloured teeth were twice ranked by a panel of judges according to perceived attractiveness. Mean image score was then used to arrange the images into a continuum of attractiveness and from these, ten images were selected, to constitute the illustrated IOTA. A second panel of judges assessed 35 clinical pictures using the IOTA, on two occasions.
The first 100 images were assessed with a correlation of 0.79-0.81 between the two ranking sessions and with intra-group reproducibility of 0.8-0.94. The second panel of judges used the developed IOTA quickly, with an intra-judge correlation of 0.87 and inter-judge reliability of 0.72 and 0.74 for two sessions.
The IOTA could be used by clinicians as a tool for quantifying disfigurement in teeth, irrespective of aetiology or histology.
现有的牙齿变色量化指数大多是病因特异性的。一种源自各种牙齿变色和表面缺陷的牙齿美观指数（IOTA），将允许对美观进行量化，从而进行心理评估和治疗计划。
开发一种基于感知的 IOTA，用于量化所有类型的牙齿变色和表面缺陷。
100 张变色牙齿的图像由一个评判小组根据感知吸引力进行了两次排名。然后，使用平均图像得分将图像排列在吸引力连续体中，从中选择 10 张图像构成了插图 IOTA。第二个评判小组使用 IOTA 对 35 张临床照片进行了两次评估。
前 100 张图像的两次排名之间的相关性为 0.79-0.81，组内重现性为 0.8-0.94。第二组评判员使用开发的 IOTA 进行了快速评估，两次评估的组内相关性为 0.87，组间可靠性为 0.72 和 0.74。
IOTA 可被临床医生用作量化牙齿畸形的工具，无论病因或组织学如何。
