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双色混合能力测试评估咀嚼性能的定量研究:一种新的数字化方法的开发。

Quantitative Evaluation of Masticatory Performance with Two-Color Mixing Ability Test: Development of a New Digital Method.

出版信息

Int J Prosthodont. 2020 Mar/Apr;33(2):224-228. doi: 10.11607/ijp.6568.

Abstract

PURPOSE

To develop a new digital method for color-mixing analysis and to evaluate the validity of this method for quantifying masticatory performance.

MATERIALS AND METHODS

Specimens of red-green (RG) chewing gum were prepared as a bicolor test food. A total of 300 specimens were masticated by 20 healthy volunteers for different numbers of mastication cycles (from 1 to 25). The boluses were flattened and scanned, and the digital images were analyzed using ImageJ software. Two parameters (spatial and value) of color mixing were measured, and multiple regression analysis was performed to estimate the number of mastication cycles. The estimated number of mastication cycles that the healthy reference cohort needed to achieve a certain degree of color mixing was proposed as the mastication index (MI). The validity of this method was assessed using Pearson correlation between the MI and concurrent measurements with ViewGum software (variance of hue) within a group of 10 healthy subjects and 10 complete denture wearers.

RESULTS

Independent samples t test showed a significant difference in MI between healthy subjects and denture wearers (P < .001). A significant correlation was observed between the MI and ViewGum outcomes (r = -0.95, P < .001).

CONCLUSION

The new proposed method proved to be valid and has the potential for evaluating masticatory performance in both research and clinical settings.

摘要

目的

开发一种新的用于颜色混合分析的数字方法,并评估该方法量化咀嚼性能的有效性。

材料与方法

制备红-绿(RG)双色口香糖作为双色测试食品。共有 20 名健康志愿者对 300 个试料进行了不同咀嚼循环次数(1-25 次)的咀嚼。将胶块压扁并扫描,然后使用 ImageJ 软件分析数字图像。测量颜色混合的两个参数(空间和值),并进行多元回归分析以估计咀嚼循环次数。将健康参考队列达到一定颜色混合程度所需的咀嚼循环次数估计值作为咀嚼指数(MI)。通过对 10 名健康受试者和 10 名全口义齿佩戴者组内的 ViewGum 软件(色调变化)与 MI 的同期测量进行 Pearson 相关性评估,评估该方法的有效性。

结果

独立样本 t 检验显示 MI 在健康受试者和义齿佩戴者之间存在显著差异(P <.001)。MI 与 ViewGum 结果之间存在显著相关性(r = -0.95,P <.001)。

结论

新提出的方法被证明是有效的,具有在研究和临床环境中评估咀嚼性能的潜力。

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