[Accuracy of the Cameriere's method and its variant the European Formula for age estimation in subadult peruvian population].

Revista Cientifica Odontologica Pub Date : 2022-09-28 eCollection Date: 2022-07-01 DOI:10.21142/2523-2754-1003-2022-115
Franz Yosset Bravo Molina
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Abstract

Objective: To determine the accuracy of the Cameriere method and its variant, the European Formula, in a sub-adult Peruvian population; and determine a chronological age predictor equation.

Materials and methods: Descriptive, observational, cross-sectional and retrospective study. It was used 257 digital panoramic radiographs of patients in mixed dentition from 5 to 12 years of age belonging to the "Dental Cientifica" Dental Center of the Universidad Cientifica del Sur in the city of Lima, Peru. All morphological variables and gender of the subjects were used as predictor variables for age estimation. To evaluate the accuracy of each estimation method, the age of each individual was compared with the estimated age using the mean prediction error. Multiple linear regression was used to generate the predictive equation for chronological age.

Results: It was found that the mean prediction error between the chronological age with respect to the age estimated by the Cameriere method Formula and the European Formula was 0.73±0.55 years and 0.77±0.57 years, respectively. A model was generated whose predictor variables for age were s and N0, both variables were statistically significant and the Adjusted R2 for the number of variables was 75.96%.

Conclusion: It was determined that Cameriere's Formula was more accurate than the European Formula; however, there was no statistically significant difference between the two. Additionally, it was possible to establish a specific linear regression formula for a Peruvian population aged 5 to 12 years with an adequate predictive capacity.

Abstract Image

[卡梅里尔法及其变体 "欧洲公式 "在秘鲁亚成年人口年龄估计中的准确性]。
目的在秘鲁亚成年人群中确定卡梅里埃法及其变体--欧洲公式的准确性,并确定一个年代年龄预测方程:描述性、观察性、横断面和回顾性研究。研究使用了秘鲁利马市南方科学大学 "Dental Cientifica "牙科中心 5 至 12 岁混合牙患者的 257 张数字全景照片。受试者的所有形态变量和性别都被用作年龄估计的预测变量。为了评估每种估计方法的准确性,使用平均预测误差将每个人的年龄与估计年龄进行比较。结果发现,平均预测误差为 0.5%,而平均预测误差为 0.5%:结果发现,根据卡梅里埃公式法和欧洲公式法估算的年龄与实测年龄之间的平均预测误差分别为 0.73±0.55 岁和 0.77±0.57 岁。生成的模型中,年龄的预测变量为 s 和 N0,这两个变量均具有统计学意义,变量数的调整 R2 为 75.96%:结论:卡梅里埃公式比欧洲公式更准确,但两者在统计学上没有显著差异。此外,还可以为秘鲁 5 至 12 岁的人口建立一个特定的线性回归公式,该公式具有足够的预测能力。
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