Journal of Clinical Pediatric Dentistry. 2025; 49(3): 165-172. doi: 10.22514/jocpd.2025.063
Original Research

New regression equation for predicting the size of unerupted canines and premolars in a Turkish sample

Rumeysa Yıldız1, Ozge Uslu-Akcam1,*,

1Department of Orthodontics, Faculty of Dentistry, Ankara Yıldırım Beyazıt University, 06010 Ankara, Turkey

*Corresponding Author(s):ozgeusluakcam@aybu.edu.tr (Ozge Uslu-Akcam)

History Submitted: 22 November 2024 | Accepted: 03 January 2025 | Published: 03 May 2025
Copyright:  ©2025 The Author(s). Published by MRE Press.
This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).

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Abstract

Background: One of the methods used for predicting the size of unerupted canines and premolars is regression equaiton. This retrospective study aimed to evaluate the reliability of regression equations developed for predicting the size of unerupted canines and premolars and to develop a new regression equation. Methods: Mesiodistal diameters of all permanent teeth except second molars were measured on orthodontic plaster models of 265 patients (133 females, mean age 15.09 years; 132 males, mean age 15.25 years). Actual values measured with digital caliper on orthodontic plaster models were compared with the predicted values of 3 regression equations developed for the Turkish population. For data analysis, Linear Regression Analysis was used to make measurement predictions. Intraclass correlation was used to evaluate intraobserver reliability. Based on the parameters of this study, a new regression equation was developed. Results: Three regression equations developed previously for the Turkish population underestimated the mesiodistal dimension of permanent canines and premolars. Mesiodistal diameters of teeth were significantly different between genders in both the maxillary and mandibular arches. A new regression equation was developed using the data of this study. Conclusions: Based on our population, the new regression equation would provide the closest prediction value for the sum of the mesiodistal widths of unerupted permanent canines and premolars. Therefore, it enables more realistic orthodontic treatment planning to be conducted.

Keywords:Regression equation;Mixed dentition;Tooth size
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Cite this article

Rumeysa Yıldız, Ozge Uslu-Akcam. New regression equation for predicting the size of unerupted canines and premolars in a Turkish sample. Journal of Clinical Pediatric Dentistry. 2025; 49(3): 165-172. doi: 10.22514/jocpd.2025.063

1. Introduction

During the period of mixed dentition, space analysis is an important part of the diagnostic and treatment procedure in determining whether the treatment plan includes serial extraction, eruption guidance, space maintenance, space regaining or only periodic observation of the patient [1]. Space analysis measurements should therefore be taken carefully [2]. One of the following four methods is usually used: mean values of the mesiodistal dimensions of the permanent canines and premolars, correlation or regression methods, combination of correlation and radiographic methods and radiographic methods [3].

Tooth size may vary between different ethnic groups, gender, genetic and environmental factors [4, 5]. Males’ mesiodistal crown widths are consistently greater than females’ [5, 6, 7, 8, 9]. Prediction tables and regression equations developed for North Americans may not provide reliable results for other populations, causing treatment planning errors [10]. Turkish populations come from a variety of regions, thus creating a wide variety of gene pools [11]. For the mixed dentition period, the methods developed are only valid within the community where they were developed due to ethnic differences [12]. Clinically, estimation methods developed for different populations should not be used without modifications [13].

Published studies on the estimation of the size of unerupted permanent canines and premolars in the Turkish population show that the reliability of Tanaka and Johnston equations and Moyers probability charts were low [10, 11, 13, 14]. Arslan et al. [15] also reported that mesiodistal widths of permanent canines and premolars were overestimated using the Tanaka Johnston equation and were not suitable for the Turkish population. Based on the width of the four permanent incisors in the mandible, they developed a new regression equation [15]. Uysal et al. [11] demonstrated a new regression equation with dental models obtained from Turkish patients. Sağlam Aydınatay et al. [16] calculated a new regression equation using the sum of permanent first molar, mandibular central and lateral tooth size and gender variable.

It is not clear which of the different regression equations developed for the Turkish population is more reliable. Therefore, this study aimed to evaluate the reliability of the regression equations developed by Arslan et al. [15], Uysal et al. [11] and Sağlam Aydınatay et al. [16] for the estimation of unerupted permanent tooth size in the Turkish population and to develop a new regression equation with the measurements we made in our patients in case of incompatibility and to provide orthodontists with a more realistic tooth size analysis opportunity in treatment planning.

2. Materials and methods

This retrospective study was approved by Health Sciences Ethics Committee of Ankara Yıldırım Beyazıt University (06 October 2022-14). Informed consent to participate was obtained from all of the subjects and/or their legal guardian(s). The research material consists of pretreatment orthodontic plaster models of patients undergoing orthodontic treatment between November 2022 and November 2023.

The G-Power 3 programme (G*Power; version 3.1.9.213, Franz Faul, Universitet Kiel, Dusseldorf, NRW, Germany) was used to calculate the sample size. Using an error margin of α = 0.05, an effect size of 0.2, and a power of 0.90, 265 orthodontic models were determined. Orthodontic plaster models of 265 Turkish patients (133 females, mean age 15.09; 132 males, mean age 15.25) were included based on the following criteria:

- Turkish parents, living in Ankara.

- Full eruption of all permanent teeth except the third molars.

- Angle Class I molar and canine occlusion.

- Teeth without caries, restorations, fractures, attrition, abrasions or hypoplasia affecting the mesiodistal dimension.

- Absence of dental anomalies such as tooth deficiency, microdontia and macrodontia.

- Orthodontic plaster models with good clarity and quality.

- Abrasion, fractures, air bubbles and excesses that would affect measurements were not present on models.

Exclusion citeria were as follows:

- Systemic or dentofacial deformities.

- Orthodontic or orthognathic treatment history.

- Syndromes or cleft lip and/or palate.

- Presence of cysts or other craniofacial pathology.

A standard impression procedure in the clinic was used to obtain plaster models for the study. Orthodontic plaster models were obtained by taking impressions with disposable plastic impression spoons and orthodontic fast-setting alginate-based hydrocolloid impression material, applying standard procedures during impression disinfection, and casting type 3 dental hard plaster.

In this study, the mesiodistal dimensions of all teeth except the permanent second molars were measured. The mesiodistal crown widths of the relevant teeth were measured using a digital caliper (Karl Hammacher GmbH HSL 246-15, Solingen, NRW, Germany) with an accuracy of 0.01 mm. The digital caliper was calibrated before measurements. The digital caliper was held at right angles to the long axis of the teeth and the maximum mesiodistal distance between the buccal and aproximal contact points was measured (Fig. 1). Between models, the eyes rested for 5 minutes to reduce eye fatigue and minimise error. To ensure measurement reliability, only 10 models were measured by a single researcher (RY) per day.

Mesiodistal crown diameter measurements of incisor, premolar and 
molar teeth using digital caliper.

Fig. 1.Mesiodistal crown diameter measurements of incisor, premolar and molar teeth using digital caliper.

Statistical Method: Data analysis was performed using SPSS 21 package programme (SPSS Inc., Chicago, IL, USA; version 15.0 for Windows). t-test was used to evaluate differences between genders and between symmetrical teeth dimensions. Measurement predictions were made using linear regression analysis.

Method error: To assess observer reliability, the same researcher repeated tooth size measurements of randomly selected 30 cases after 1 month. The observer reliability was evaluated by ICC (IntraClass Correlation) method.

3. Results

To evaluate observer reliability, ICC was used to compare the first and second measurements in 30 cases. For all tooth size measurements, the ICC value ranged from 0.870 to 0.984. Both measurements were in very high agreement (Table 1).

Table 1.Intraobserver correlation table between first and second measurements.
ToothICC95% Confidence Intervalp
Lower borderUpper border
110.9510.8980.977<0.001
120.9840.9660.992<0.001
130.8700.7520.938<0.001
140.9040.8730.971<0.001
150.9660.9290.984<0.001
160.9470.8900.975<0.001
210.9810.9600.991<0.001
220.9820.9620.991<0.001
230.9470.8890.975<0.001
240.9450.8850.974<0.001
250.8960.7820.951<0.001
260.9040.7970.954<0.001
310.9740.9460.988<0.001
320.9720.9410.987<0.001
330.9310.8540.967<0.001
340.9510.8970.977<0.001
350.9670.9300.984<0.001
360.9710.9390.986<0.001
410.9530.9020.978<0.001
420.9640.9240.983<0.001
430.9520.8990.977<0.001
440.9470.8880.975<0.001
450.9280.8490.966<0.001
460.9590.9140.981<0.001

ICC: IntraClass Correlation.

The mesiodistal width measurements of the left and right symmetrical teeth of the dental arch did not differ significantly. Therefore, the mesiodistal widths of the symmetrical teeth were summed and averaged (Table 2).

Table 2.Comparison of mesiodistal dimensions of the symmetrical teeth on the right and left sides in the upper and lower jaws.
TeethRight/Leftt-test
RightLeft
nMeanMedianMinimumMaximumsdMeanMedianMinimumMaximumsdtp
11–212658.928.907.4710.500.568.908.907.3910.400.560.3120.755
12–222657.0367.0505.7608.4200.5487.0187.0305.7608.7400.5360.3870.699
13–232658.098.106.869.300.438.068.076.999.290.440.9260.355
14–242657.407.396.138.730.447.417.426.128.500.42−0.3930.694
15–252657.137.156.068.270.437.157.195.918.390.45−0.5330.594
16–2626510.4410.409.1312.380.5110.4810.419.1512.310.54−0.9030.367
31–412655.725.704.636.750.365.715.714.656.820.360.4030.687
32–422656.246.215.237.550.396.246.225.257.270.39−0.0440.965
33–432657.006.955.758.060.437.006.995.948.070.41−0.1020.918
34–442657.397.386.168.540.447.397.376.158.670.450.0460.963
35–452657.557.566.228.700.467.537.526.138.860.470.3780.706
36–4626511.3011.319.7412.930.6211.2911.359.7912.950.620.1510.880

sd: standard deviation.

t-tests were used to compare mesiodistal width measurements in orthodontic plaster models of male and female patients. In all teeth, the mesiodistal tooth sizes of males and females were statistically significant (p < 0.05). Male’s tooth dimensions were discovered to be significantly larger than female’s (Table 3).

Table 3.Comparison of mesiodistal tooth dimensions in the maxilla and mandible according to gender.
ToothGendert-test
FemaleMale
nMeanMedianMinimumMaximumsdnMeanMedianMinimumMaximumsdtp
111338.808.817.479.830.481329.039.067.7210.500.603.3680.001
211338.788.837.3910.000.491329.029.067.5110.400.603.5230.001
121336.9357.0105.7608.0400.5191327.1387.1255.8108.4200.5603.0550.002
221336.947.025.768.040.521327.107.055.828.740.542.4960.013
131337.947.997.019.100.421328.258.246.869.070.396.050<0.001
231337.897.916.999.100.401328.238.247.079.290.416.799<0.001
141337.317.326.138.510.391327.487.506.368.730.473.2480.001
241337.357.336.128.500.411327.487.536.638.490.432.4750.014
151337.067.056.068.190.431327.197.176.208.270.422.4790.014
251337.087.125.918.390.461327.217.265.968.360.432.4660.014
1613310.2710.299.3011.700.4813210.6010.559.1312.380.485.699<0.001
2613310.3410.299.3511.950.5313210.6210.549.1512.310.514.322<0.001
311335.675.644.876.680.341325.785.764.636.750.382.3510.019
411335.675.664.686.420.321325.765.784.656.820.382.0780.039
321336.166.155.376.970.351326.316.275.237.550.423.1280.002
421336.156.165.257.270.361326.336.335.437.260.393.800<0.001
331336.786.775.757.800.341327.227.256.178.060.409.580<0.001
431336.806.805.947.700.351327.217.246.318.070.369.420<0.001
341337.347.356.258.130.401327.457.446.168.540.462.1420.033
441337.317.296.288.230.421327.477.486.158.670.462.9050.004
351337.457.496.228.610.461327.647.646.548.700.443.4690.001
451337.427.436.138.570.451327.647.606.598.860.473.799<0.001
3613311.1111.089.7912.520.5713211.5011.519.7412.930.615.313<0.001
4613311.1011.089.8012.260.5913211.4911.509.7912.950.595.307<0.001

sd: standard deviation.

There was a significant difference (p < 0.05) between the actual dimensions measured on plaster models and the predicted values of the regression equation developed by Arslan et al. [15], Uysal et al. [11] and Sağlam Aydınatay et al. [16] (Table 4, Ref. [11, 15]; Table 5, Ref. [16]). The regression equations of Arslan et al. [15], Uysal et al. [11] and Sağlam Aydınatay et al. [16] had significantly lower predictions than the actual tooth dimensions (Tables 4 and 5).

Table 4.Agreement of the actual mesiodistal size of unerupted teeth with the equation developed by Arslan et al. [15] and Uysal et al. [11] (y = mesiodistal width of unerupted maxillary canine and premolar teeth, x = sum of the mesiodistal width of the four permanent incisors).
Arslan et al. [15] equations Female maxilla y = 9.775 + 0.50x mandible y = 9.145 + 0.50x Male maxilla y = 9.98 + 0.50x mandible y = 9.54 + 0.50xUysal et al. [11] equations Female maxilla y = 5.32 + 0.71x mandible y = 4.51 + 0.71x Male maxilla y = 3.82 + 0.78x mandible y = 4.17 + 0.73x
Maxilla
MaleZ−8.782−3.565
p<0.001<0.001
FemaleZ−7.674−3.013
p<0.0010.003
Mandible
MaleZ−8.410−6.305
p<0.001<0.001
FemaleZ−7.154−3.524
p<0.001<0.001
Table 5.Agreement of the actual mesiodistal size of unerupted teeth with the equation developed by Sağlam Aydinatay et al. [16] (X0 indicates gender, the value 2 is used for women and 1 for men. X1 refers to the sum of the tooth size widths of the permanent upper first molar, lower central and lateral incisors).
Sağlam Aydinatay et al. [16] equations maxilla Y = 5.243 − 0.249(X0) + 0.386(X1) mandible Y = 5.008 − 0.227(X0) + 0.378(X1)
Maxilla
Z−8.915
p<0.001
Mandible
Z−6.671
p<0.001

A new regression equation was developed to predict the total mesiodistal dimension of unerupted permanent canines and premolars based on measurements (Tables 6 and 7).

Table 6.New regression equation for determining mesiodistal crown diameters of unerupted canines and premolars.
RR SquareAdjusted R SquareDurbin-WatsonAnova
Fp
10.7330.5380.5352.103203.7760.0001
a. Independent Variables: (Constant value), Female/Male, Maxilla/Mandible, X
b. Dependent variables: Y
Table 7.Coefficients of the newly developed regression equation.
VariableCoefficientp
(Constant value)9.316<0.001
X0.525<0.001
Maxilla/Mandible (2 Maxilla/1 Mandible)0.684<0.001
Female/Male (2 Female/1 Male)−0.411<0.001

For the new regression equation, the presence of teeth with an estimated mesiodistal width in the maxilla or mandible, as well as the individual’s gender, were taken into account both as independent variables.

The dependent variable was significantly explained by three independent variables. Based on the regression equation developed in our study, it was observed that three independent variables explained 53.5% of the dependent variable according to the model predicting the dependent variable using independent variables (Table 6).

The regression equation developed was as follows:

Y = 9.316 + 0.525X + 0.684(Maxilla/Mandible) − 0.411(Female/Male)

Y indicates the sum of the mesiodistal width of the unerupted canines and premolars.

Jaw variable should be set to 1 for the mandible and 2 for the maxilla. Gender variable should be set to 1 for male and 2 for female. X indicates the sum of the mesiodistal dimensions of the lower four incisors.

4. Discussion

Nowadays, regression equations are the most commonly used methods to estimate unerupted permanent tooth size due to their advantages such as ease of application, not taking much time and not requiring additional equipment such as X-rays. Moyers probability tables and Tanaka Johnston equations developed for European Americans are the most preferred ones [11, 15, 17, 18, 19, 20]. The usability of Moyers probability tables and Tanaka Johnston equation have been evaluated with many ethnic groups such as Asian American [19], Syrian [21], Saudi Arabian [17], Jordanian [6], Indian [22], Senegalese [23], Nepalese [24], Iraqi [25] populations. It was observed that unerupted canines and premolars over- or under-predicted mesiodistal crown size. A population-based reorganization of reference values was made to prevent possible clinical errors [17, 18, 19, 25].

Many factors affect the reliability of the study findings. A key factor is the size of the material. The accuracy of measurements increases with the number of measurements made by the investigator [26]. This study was conducted on a larger sample size than similar studies in the literature. By using the ICC method, we evaluated intraobserver reliability. As intraobserver reliability increases, the ICC value increases and approaches 1.0 [27]. Our study found that the ICC value ranged from 0.870 to 0.984 for all tooth size measurements. High repeatability and intraobserver reliability were observed for all teeth.

Attention was paid to standardization in obtaining orthodontic plaster models. To obtain dental models in our study, alginate impression material and dental hard plaster were used in many studies in the literature [6, 15, 16, 25, 28, 29, 30, 31, 32, 33, 34, 35, 36]. Statistically significant differences were found when the same measurements were performed by different investigators [26, 37]. Based on these data, all measurements used in our study were performed by the same researcher (RY).

It was reported that plaster models measured 0.1 mm larger on average [26]. Intraoral measurements are harder than plaster models. Since precisely obtained dental plaster models are more reliable and precise in the measurement of tooth dimensions, plaster models were preferred in our study [25, 26, 32].

Tooth sizes may vary by genetic factors, society and region. In previous studies, patients were considered suitable if they had at least one generation of ancestors who belonged to that community [11, 12, 16, 18, 19, 23, 24, 28]. In our study, we paid attention to the Turkish patients and parents.

Orthodontic callipers [14], Boley gauge [18, 19, 21, 28, 35, 36] or digital callipers [6, 10, 11, 12, 13, 15, 17, 23, 24, 25, 31, 32, 33, 34, 38, 39, 40, 41] are commonly used to measure mesiodistal tooth size. With a caliper, Hunter and Priest found it was more accurate and easier to measure tooth dimensions than with a compass [26].

Researchers have reported significant differences between the mesiodistal dimensions of the teeth on the right and left sides of the dental arch, but many report these differences insignificant. In our study, mesiodistal crown size measurements of symmetrical teeth showed no statistically significant differences (p > 0.05). In general, studies used the average of the right and left sides measurements for tooth size analysis [11, 15, 19, 25], while some used the measurement values from either size [16, 39]. According to many studies, we used the average of right and left side symmetrical tooth size measurements [11, 15, 19].

Based on gender-related tooth sizes, male and female tooth sizes differed statistically significantly (Table 3) (p < 0.05). Males have larger mesiodistal tooth sizes than females. The maximum difference in mesiodistal crown size between male and female was observed in maxillary and mandibular canines, maxillary and mandibular permanent first molars and mandibular lateral teeth. The least difference was observed in mandibular central teeth and mandibular right first premolars.

The difference between the regression equation of Arslan et al. [15] and the actual tooth size was statistically significant (Table 4) (p < 0.05). The regression equation of Arslan et al. [15] gave a smaller prediction than the actual tooth size. Sağlam Aydınatay et al. [16] tested the reliability of the regression equation developed by Arslan et al. [15] and reported that it underestimated tooth size in accordance with our findings. Possibly, the reason for this difference is that Arslan et al.’s [15] sample group was made up of individuals from southeastern Anatolia region of Turkey, while our sample group was made up of individuals from central Anatolia region of Turkey.

The difference between Uysal et al.’s [11] regression equation and the actual tooth size was statistically significant (Table 4) (p < 0.05). Uysal et al.’s [11] regression equation predicted smaller dimensions than the actual dimensions. However, results closer to the actual Y value were obtained according to Arslan et al.’s [15] regression equation. Uysal et al.’s [11] regression equation developed for the maxilla in females gave the closest value to the actual Y value. Sağlam Aydınatay et al. [16] also tested the reliability of Uysal et al.’s [11] regression equation and reported that Uysal et al.’s [11] regression equation overestimated mesiodistal widths of maxillary canine and premolar teeth and underestimated mesiodistal widths of mandibular canine and premolar teeth.

The difference between Sağlam Aydınatay et al.’s [16] regression equation and the actual tooth size was statistically significant (Table 5) (p < 0.05). Sağlam Aydınatay et al.’s [16] regression equation underestimated the actual tooth size.

Ankara is thought to better reflect Turkish society since it is the capital, has more education and job opportunities, is centrally located, and receives a lot of migration from other provinces. Our sample size is larger than previously reported studies, which increases the reliability of our findings. Additionally, the homogeneous gender distribution of the sample provides more accurate regression equation results. A continuous change in tooth sizes occurs in populations over time, which indicates that the current mixed dentition period space analyses need to be modified periodically [8, 34, 42, 43]. For these reasons, our study is important for being conducted on a larger sample than previous studies and being up-to-date.

We found that the regression equations developed for the Turkish population were not reliable when tested on our sample population. A new and updated regression equation was calculated using our sample group data (Tables 6 and 7). The new correlation coefficient of the regression equation we developed using the mesiodistal widths of four mandibular incisors was 0.733. The R square value was 0.538. The Adjusted R Square value was 0.535 (Table 6). These values were quite high and acceptable.

Our multiple regression equation, developed by using gender, jaw variables and the sum of mesiodistal widths of the lower four incisors as independent variables, predicted that it could provide the closest prediction values for the sum of mesiodistal widths of the unerupted permanent canines and premolars for our population.

This study has some limitations. Mesiodistal diameters of all permanent teeth except second molars were measured. It will be more convenient to add the measurements of the second molar teeth. For future studies, it would be appropriate to evaluate the equation in more individuals, covering all geographical regions of Turkey, to assess its predictive value.

5. Conclusions

Three regression equations underestimated the mesiodistal widths of permanent canine and premolar teeth. For the Turkish population, this set of three equations had low reliability. An updated regression equation was developed to predict the mesiodistal tooth dimensions of unerupted permanent canines and premolars.

Availability of data and materials

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Author contributions

RY and OUA—performed the research; wrote the manuscript. OUA—provided help and advice. Both authors contributed to editorial changes in the manuscript. Both authors read and approved the final manuscript.

Ethics approval and consent to participate

The research protocol was reviewed and approved by the Health Sciences Ethics Committee of Ankara Yıldırım Beyazıt University (Date 06 October 2022–number 14), while the study was carried out in accordance with the Declaration of Helsinki. Informed consent to participate was obtained from all of the subjects and/or their legal guardian(s).

Acknowledgment

Not applicable.

Funding

The authors received no financial support for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare no conflict of interest.

References

Bishara SE, Staley RN. Mixed-dentition mandibular arch length analysis: a step-by-step approach using the revised Hixon-Oldfather prediction method. American Journal of Orthodontics. 1984; 86: 130–135.

[Google Scholar]

Proffit WR, Fields HW, Larson BE, Sarver DM. Contemporary orthodontics. 6th edn. Elsevier, Inc: Philadelphia. 2019.

[Google Scholar]

Abaid S, Zafar S, Kruger E, Tennant M. Size estimation of unerupted canines and premolars using various independent variables: a systematic review. Journal of Orofacial Orthopedics. 2023; 84: 164–177.

[Google Scholar]

Scott GR. Dental anthropology. Encyclopedia of Global Archaeology. 2018; 45: 1–8.

[Google Scholar]

Dempsey PJ, Townsend GC, Martin NG, Neale MC. Genetic covariance structure of incisor crown size in twins. Journal of Dental Research. 1995; 74: 1389–1398.

[Google Scholar]

Al-Bitar ZB, Al-Omari IK, Sonbol HN, Al-Ahmad HT, Hamdan AM. Mixed dentition analysis in a Jordanian population. The Angle Orthodontist. 2008; 78: 670–675.

[Google Scholar]

Howe RP, McNamara JA, O’Connor KA. An examination of dental crowding and its relationship to tooth size and arch dimension. American Journal of Orthodontics. 1983; 83: 363–373.

[Google Scholar]

Jensen E, Kai-Jen Yen P, Moorrees CF, Thomsen SO. Mesiodistal crown diameters of the deciduous and permanent teeth in individuals. Journal of Dental Research. 1957; 36: 39–47.

[Google Scholar]

Steigman S, Harari D, Kuraita-Landman S. Relationship between mesiodistal crown diameter of posterior deciduous and succedaneous teeth in israeli children. European Journal of Orthodontics. 1982; 4: 219–227.

[Google Scholar]

Alkan Ö, Kaya Y, Bor S, Kayasan S, Kazanci F, Keskin S. Assessment the reliability of different mixed dentition analysis methods to estimate the width of unerupted canines and premolars. European Annals of Dental Sciences. 2016; 43: 69–76.

[Google Scholar]

Uysal T, Basciftci FA, Goyenc Y. New regression equations for mixed-dentition arch analysis in a Turkish sample with no Bolton tooth-size discrepancy. American Journal of Orthodontics and Dentofacial Orthopedics. 2009; 135: 343–348.

[Google Scholar]

Alessandri Bonetti G, Verganti S, Zanarini M, Bonetti S, Gatto MR. Mixed dentition space analysis for a northern Italian population: new regression equations for unerupted teeth. Progress in Orthodontics. 2011; 12: 94–99.

[Google Scholar]

Arici Y, Türk Y. Prediction of the unerupted canine and premolar teeth widths in a midlle black sea population. Current Research in Dental Sciences. 1999; 9: 38–41.

[Google Scholar]

Güner D, Ülgen M. Adaptations of the moyers tables for turkish children (determination of the mesio-distal widths of the canines and the premolars). Turkish Journal of Orthodontics. 2000; 13: 102–107.

[Google Scholar]

Arslan SG, Dildeş N, Kama JD, Genç C. Mixed-dentition analysis in a Turkish population. World Journal of Orthodontics. 2009; 10: 135–140.

[Google Scholar]

Sağlam-Aydinatay B, Akarsu-Güven B, Karakaya J, Yazdani H, Aksu M. Development of new regression equations for determining mesiodistal crown diameters of unerupted canines and premolars. Clinical Dentistry and Research. 2014; 38: 12–21.

[Google Scholar]

Al-Khadra BH. Prediction of the size of unerupted canines and premolars in a Saudi Arab population. American Journal of Orthodontics and Dentofacial Orthopedics. 1993; 104: 369–372.

[Google Scholar]

Bernabé E, Flores-Mir C. Are the lower incisors the best predictors for the unerupted canine and premolars sums? An analysis of a Peruvian sample. The Angle Orthodontist. 2005; 75: 202–207.

[Google Scholar]

Lee-Chan S, Jacobson BN, Chwa KH, Jacobson RS. Mixed dentition analysis for Asian-Americans. American Journal of Orthodontics and Dentofacial Orthopedics. 1998; 113: 293–299.

[Google Scholar]

Yuen KK, Tang EL, So LL. Mixed dentition analysis for Hong Kong Chinese. The Angle Orthodontist. 1998; 68: 21–28.

[Google Scholar]

Nourallah AW, Gesch D, Khordaji MN, Splieth C. New regression equations for predicting the size of unerupted canines and premolars in a contemporary population. The Angle Orthodontist. 2002; 72: 216–221.

[Google Scholar]

Rehan SA, Imtiaz R, Mustafa S, Saleh A. Application of Moyer’s mixed dentition analysis and establishing probability tables in a sample of Pakistani population. Pakistan Journal of Medical Sciences. 2023; 9: 1312–1316.

[Google Scholar]

Diagne F, Diop-Ba K, Ngom PI, Mbow K. Mixed dentition analysis in a Senegalese population: elaboration of prediction tables. American Journal of Orthodontics and Dentofacial Orthopedics. 2003; 124: 178–183.

[Google Scholar]

Giri J, Pokharel PR, Gyawali R, Timsina J, Pokhrel K. New regression equations for mixed dentition space analysis in Nepalese mongoloids. BMC Oral Health. 2018; 18: 214.

[Google Scholar]

Al-Khannaq MRA, Nahidh M, Al-Dulaimy DA. The importance of the maxillary and mandibular incisors in predicting the canines and premolars crown widths. International Journal of Dentistry. 2022; 18: 1551413.

[Google Scholar]

Hunter WS, Priest WR. Errors and discrepancies in measurement of tooth size. Journal of Dental Research. 1960; 39: 405–414.

[Google Scholar]

Oakley C, Brunette DM. The use of diagnostic data in clinical dental practice. Dental clinics of North America. 2002; 46: 87–115.

[Google Scholar]

Frankel HH, Benz EM. Mixed dentition analysis for black Americans. Pediatric Dentistry. 1986; 8: 226–230.

[Google Scholar]

Ghose LJ, Baghdady VS. Analysis of the Iraqi dentition: mesiodistal crown diameters of permanent teeth. Journal of Dental Research. 1979; 58: 1047–1054.

[Google Scholar]

Harris EF, Bailit HL. A principal components analysis of human odontometrics. American Journal of Physical Anthropology. 1988; 75: 87–99.

[Google Scholar]

Kommineni NK, Reddy CV, Chandra NS, Reddy DS, Kumar AK, Reddy MV. Mixed dentition analysis—applicability of two non-radiographic methods for Chennai school children. Journal of International Society of Preventive & Community Dentistry. 2014; 4: 133–138.

[Google Scholar]

Otuyemi OD, Noar JH. A comparison of crown size dimensions of the permanent teeth in a Nigerian and a British population. European Journal of Orthodontics. 1996; 18: 623–628.

[Google Scholar]

Ramesh N, Reddy MS, Palukunnu B, Shetty B, Puthalath U. Mixed dentition space analysis in Kodava population: a comparison of two methods. Journal of Clinical and Diagnostic Research. 2014; 8: ZC01–ZC6.

[Google Scholar]

Ravinthar K, Gurunathan D. Applicability of different mixed dentition analyses among children aged 11–13 years in Chennai population. International Journal of Clinical Pediatric Dentistry. 2020; 13: 163–166.

[Google Scholar]

Schirmer UR, Wiltshire WA. Orthodontic probability tables for black patients of African descent: mixed dentition analysis. American Journal of Orthodontics and Dentofacial Orthopedics. 1997; 112: 545–551.

[Google Scholar]

Thimmegowda U, Sarvesh SG, Shashikumar HC, Kanchiswamy LN, Shivananda DH, Prabhakar AC. Validity of Moyers mixed dentition analysis and a new proposed regression equation as a predictor of width of unerupted canine and premolars in children. Journal of Clinical and Diagnostic Research. 2015; 9: ZC01–ZC6.

[Google Scholar]

Kieser JA, Groeneveld HT, McKee J, Cameron N. Measurement error in human dental mensuration. Annals of Human Biology. 1990; 17: 523–528.

[Google Scholar]

Bishara SE, Jakobsen JR, Abdallah EM, Fernandez Garcia A. Comparisons of mesiodistal and buccolingual crown dimensions of the permanent teeth in three populations from Egypt, Mexico, and the United States. American Journal of Orthodontics and Dentofacial Orthopedics. 1989; 96: 416–422.

[Google Scholar]

Melgaço CA, Araújo MT, Ruellas AC. Applicability of three tooth size prediction methods for white Brazilians. The Angle Orthodontist. 2006; 76: 644–649.

[Google Scholar]

de Paula S, Almeida MA, Lee PC. Prediction of mesiodistal diameter of unerupted lower canines and premolars using 45 degrees cephalometric radiography. American Journal of Orthodontics and Dentofacial Orthopedics. 1995; 107: 309–314.

[Google Scholar]

Tanaka MM, Johnston LE. The prediction of the size of unerupted canines and premolars in a contemporary orthodontic population. The Journal of the American Dental Association. 1974; 88: 798–801.

[Google Scholar]

Kanaparthi S, Done V, Madu GSP, Sahana S, Bandela V, Prasanth NJ. Pertinence of five different regression equations of mixed dentition analysis in West Godavari District children: a comparative study. International Journal of Clinical Pediatric Dentistry. 2024; 17: 871–876.

[Google Scholar]

Ghasemi T, Sabbaghzadeh M, Mollaei M, Mirzaei M. Comparison of the different methods of width estimation in unerupted canine and premolars. BMC Oral Health. 2024; 24: 475.

[Google Scholar]