A New, Accurate and Fast Digital Method to Predict Unerupted Tooth Size
The sum of the lower incisor tooth width has been proposed as the best predictor for calculating unerupted canine and premolar mesiodistal tooth sizes. The aims of this study were to develop a new, fast, and accurate computerized method to predict unerupted mesiodistal tooth sizes and to determine which reference tooth or combination of reference teeth was the best predictor for canines and premolars in a Spanish sample. The dental casts of 100 Spanish adolescents with permanent dentition were measured to the nearest 0.05 mm with a two-dimensional computerized system. The goal was to predict unerupted canine and premolar mesiodistal tooth sizes using the sizes of the upper central incisor, upper and lower first molar, or a combination of these as a reference and using a specific mesiodistal tooth-size table. The results showed that the Digital Method proposed was very accurate in predicting unerupted canine and premolar tooth size. The combination of the sums of the permanent upper central incisor and the lower first molar was the best predictor for canines and premolars in this sample. Upper arch teeth were better predicted than lower arch teeth. The upper lateral incisor provided the worst predictions.Abstract
INTRODUCTION
Prediction of unerupted tooth sizes of both canines and premolars is an important objective for diagnosis in orthodontics.12 Several mixed dentition analyses have been developed and proposed for this goal.
Up to now, three basic groups have been used to determine the mesiodistal widths of unerupted canines and premolars.3–11
Analyses based on linear regression equations
Moyers7 regression scheme has achieved widespread clinical acceptance because of its simplicity and ease of application. Moyers devised a table giving the predicted mesiodistal widths of permanent canines and premolars on the basis of mandibular incisor widths.
Since then, several simple linear regression equations have been proposed for populations of different ethnic origins.12–16
Bernabe and Flores-Mir17 found the combination of upper and lower central incisors and upper first molars to be the best predictor, whereas Nourallah et al18 reported that the sum of the lower central incisors and the upper first molars had better results.
Analyses based on measurements of the unerupted teeth on radiographs
Nance3 proposed one of the first analyses to measure unerupted mesiodistal tooth size on intraoral radiographs.
Later, De Paula et al11 introduced a technique using a 45° cephalometric radiographs.
Analyses based on a combination of linear regression equations and measurements on radiographs
Hixon and Oldfather19 proposed measuring central and lateral incisors on dental casts and premolars on radiographs to ascertain canine mesiodistal tooth size. Later, Bishara and Staley9 used a revised version of the study of Hixon and Oldfather19 in an attempt to determine an improved equation.
However, some of these methods (such as multiple regression equations) are not usually carried out because they are time consuming, and in some of them, the correlation coefficients between real sizes of “reference teeth” and “real values” of predicted teeth are not high enough to ensure a good prediction.
Because we have not found a Digital Method to predict unerupted tooth sizes in the mixed dentition,20–25 the aims of this study were to develop an easy, accurate, fast, and automatic Digital Method using reference teeth and tooth-size tables and an easily programmable interpolation algorithm. The second objective was to determine which reference tooth, or combination of reference teeth, showed the best predictive values for canines and premolars in a Spanish sample.
MATERIALS AND METHODS
The dental casts of 100 patients attending the Orthodontic Department of the University of Valencia, Spain, were used in this study. The sample included 30 girls and 70 boys, with a mean age of 14.8 years (11.2–22.7 years) similar for both.
To predict unerupted tooth sizes under the best conditions, the selection criteria of the casts were:
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Permanent dentition from first molar to first molar;
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Lower and upper first molar totally erupted and without the gingiva overlapping the distal surface of the tooth;
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Good quality casts;
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No tooth agenesis or extractions;
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No large restorations or teeth with anomalous shapes that could change the mesiodistal diameter of the tooth.
All the study casts were digitized with a conventional scanner. Before making any measurements, an accurate and easy calibration system was constructed to obtain the real cast dimensions. In this calibration system, the stone dental casts were surrounded by a millimeter paper sheet. When the arches have been digitized, the magnification of the millimeter paper in the two axes is known and the dental cast magnification can be calculated.
With the aid of the mouse as a user interface, we marked the mesiodistal size of each permanent tooth on the image of the casts. The software designed for this purpose, which we have tested and found accurate and reliable, determines dental sizes in millimeters automatically.26 From this data, we were able to predict the rest of unerupted tooth sizes (Figure 1).



Citation: The Angle Orthodontist 76, 1; 10.1043/0003-3219(2006)076[0014:ANAAFD]2.0.CO;2
This Digital Method for prediction is based on the knowledge of mesiodistal tooth size of reference teeth (permanent teeth measured) and mesiodistal tooth-size tables introduced in the program and classified by percentiles.26
We carried out our tests using four different permanent reference teeth: two in the upper arch, first molar and central incisor, and another two in the lower arch, first molar and central incisor, and a combination, upper central incisor and lower first molar. We chose these reference teeth (or independent variables) because of their early eruption in the arches and stability in mesiodistal dimension.
We chose the girls and boys tooth-size tables of Sanin and Savara27 (Figure 2) because the tooth sizes are divided by percentiles and are separate for girls and boys. The prediction algorithm determines the percentile that corresponds to the patient's complete dentition and calculates the rest of the tooth sizes (width of individual dependent variables) by an adequate interpolation.



Citation: The Angle Orthodontist 76, 1; 10.1043/0003-3219(2006)076[0014:ANAAFD]2.0.CO;2
Each mesiodistal tooth size is represented in the tables as Xi, j, where i represents the table row (type of tooth) (i = 1 to 12) and j the column (the percentile) (j = 1 to 11). Taking dk as the mesiodistal size of the chosen reference teeth, we are able to localize between which percentiles reference tooth Xk,j and Xk,j+1 are situated. We can determine the relative distance (RD) for tooth size between the reference tooth and its lower percentile (equation 1):
RD = (dk − Xk,j)/(Xk,j+1 − Xk,j).(1)Patient tooth-size prediction (Pi) is obtained with equation 2 for every tooth:
Pi = Xi,j + (Xi,j+1 − Xi,j)RD.(2)If dk < Xk,1 or di > Xk,11, it is not possible to make the interpolation and the tooth-size measurements will be those closest to the percentile.
We have introduced this algorithm in our Digital Method for casts to obtain “predicted values” for every reference tooth and compared these predicted values with the real values measured by the Digital Method and localized the differences between them automatically. It is also possible to use a two reference-tooth combination to make the prediction, using one to predict some values and the other to predict others.
Figure 3 shows the predicted and real values with the combination of the upper central incisor and lower first molar as reference teeth. At the top of the image, we can see the reference teeth chosen. In the middle of the image, we can see three different columns; the first one on the left side corresponds to the real values, the middle one to the predicted values, and the last one to the difference between them.



Citation: The Angle Orthodontist 76, 1; 10.1043/0003-3219(2006)076[0014:ANAAFD]2.0.CO;2
The SPSS© Vs. 10.0 Inc 1989–1999 Copyright (statistics package for Windows, Chicago, IL) was used, analyzing the comparison of paired measurement means and the correlation between variables by the analysis of linear regression and correlation coefficients. The proportion comparison test was also used to validate statistically the greater or lesser proportions of correct predictions.
RESULTS
We prepared linear regression graphics in which we represented and compared real values and predicted ones for each tooth type for every reference tooth. Our results showed the upper central incisor and lower first molar combination was the best reference teeth. We can see all the linear regression coefficients for every reference tooth in Table 1.

When we used the upper central incisor as a reference tooth, the better and higher linear regression coefficients were for the upper and lower lateral incisors, r = 0.55 and r = 0.71, respectively. However, the canines and premolars presented better linear regression coefficients when they were predicted using the lower first molar as a reference tooth, from r = 0.53 for the upper canine to r = 0.61 for the lower second premolar.
Consequently, we used a combination of prediction reference teeth: the upper central incisor for predicting upper and lower lateral incisors and the lower first molar for the rest of the teeth. The regression equation for the total of teeth for this combination is:
predicted values = (0.805 × real values) + 1.461.The linear regression coefficient is r = 0.81, as shown in Figure 4, and the standard error of estimate for this combination is 0.385.



Citation: The Angle Orthodontist 76, 1; 10.1043/0003-3219(2006)076[0014:ANAAFD]2.0.CO;2
For these reference combination teeth, we have classified the differences between real values and predicted values for each patient, as shown in Figure 5.



Citation: The Angle Orthodontist 76, 1; 10.1043/0003-3219(2006)076[0014:ANAAFD]2.0.CO;2
Table 2 shows the frequency of the type of prediction and the number of teeth. Eighty-three percent of the teeth are predicted with less than 0.5 mm of error, 15% with errors between 0.5 and one mm, and just 1.7% of the predictions have errors between one and 1.5 mm. To know which teeth are the best predictors, we classified the differences between real and predicted values into the following categories:
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Good predictions: Differences up to 0.5 mm;
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Acceptable predictions: Differences 0.5–1 mm;
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Poor predictions: Differences 1–1.5 mm;
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Bad predictions: Differences >1.5 mm.

Figure 6 shows the predictions for each tooth with the combination of upper central incisor and lower first molar as reference. We made no bad predictions (>1.5 mm). Lower teeth were better predicted than upper teeth. The lateral upper incisor was the worst predicted tooth whereas the lower lateral incisor the best.



Citation: The Angle Orthodontist 76, 1; 10.1043/0003-3219(2006)076[0014:ANAAFD]2.0.CO;2
Because some patients accumulated several bad predictions, we calculated the total difference between real values and predicted values for each arch (eight teeth) to evaluate the number of patients that have a correct or an incorrect total prediction (Figure 7). Because the differences between predicted and real values can be positive or negative and because some of these differences could compensate for others, we calculated the total of the absolute values of such differences. The results are shown in Figure 6. The results for the lower arch are better.



Citation: The Angle Orthodontist 76, 1; 10.1043/0003-3219(2006)076[0014:ANAAFD]2.0.CO;2
Taking this into account, we have considered differences of four mm between real values and predicted values for each arch as a good total prediction. Again, the results were better for the lower arch. Ninety-six percent of patients were well predicted in their lower arch, and 83% of patients were well predicted in their upper arch.
DISCUSSION
Our Digital Method26 cannot be classified under any of the known categories because it uses reference teeth and tooth-width tables to predict unerupted teeth mesiodistal sizes. A great advantage of this Digital Method is the ability to predict tooth size in each arch individually, an advantage over previous procedures.5–8
Because significant differences according to arch and sex have been found in previous articles,131516 we used separated tooth-width tables for boys and girls. Using the combination of the upper central incisor and lower first molar, we obtained one of the highest linear regression coefficients (r = 0.81) compared with other studies reported in the literature that used only lower incisors.81416
Upper lateral incisors were not included as predictors because of their form variability. This combination produced a very high number of “good predictions” (1330/1600 teeth), which represented the biggest percentage (83%), a low number of “poor predictions” (28/1600 teeth), and no “bad ones.”
Only three recent studies171828 reported that the tooth-width sum of the lower mesiodistal incisors was not the best predictor, and our results agree with theirs. Bernabe and Flores-Mir17 found the combination of upper and lower central incisors and upper first molars the best predictor for canines and premolars. It is important to note that lower first molars were not included as predictors in that study because they were still covered by gingival tissue. Nourallah et al18 reported that the sum of the lower central incisors and the upper first molars had the highest predictor value.
In our study, lower teeth were better predicted than upper ones and the upper lateral incisor was the worst predicted tooth because of its size variability.29–31 Differences of four mm for every arch were considered good predictions.
In the upper arch, differences of four mm (considered good) were found in 83% of our patients, whereas in the lower arch, this percentage was even greater (96%). On the other hand, most of the patients with total differences of more than four mm had Bolton index alterations3233 including the reference teeth. Further studies with larger and representative samples are required to confirm these findings.
CONCLUSIONS
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The Digital Method uses an easily programmable interpolation algorithm and has proved to be accurate, fast, and sensitive in predicting lower and upper tooth sizes.
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The upper central incisor and lower first molar combination was the best predictor and obtained many good predictions and fewer acceptable or poor ones.
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Upper arch teeth were better predicted than lower arch teeth.
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The lateral upper incisor was the worst predicted tooth.

Results of mesiodistal tooth sizes with the Digital Method in the upper and lower arch

Carlos Sanin and Bhim Savara tooth-size tables for girls

Real values and predicted values with the upper central incisor and lower first molar combination as reference

Linear regression graphic for the total teeth using the upper central incisor and lower first molar as reference teeth

Differences between predicted and real values using the upper central incisor and first lower molar as reference teeth

Degree of prediction for every tooth using upper central incisor and first lower molar as reference teeth

Total arch discrepancy using upper central incisor and first lower molar as reference teeth
Contributor Notes
Corresponding author: Vanessa Paredes, Orthodontics Department, University of Odontology of Valencia, Avenida Blasco Ibañez 20–15, Valencia 46010, Spain (clinicaparedes@medynet.com)