Analysis of Lower Facial Third and Dental Proportions to Predict Maxillary Anterior Teeth Width in the Pakistani Population

: Obtaining the size of the maxillary anterior teeth when performing an esthetic smile rehabilitation can be a difﬁcult task. Metrics based on dental proportions to assist in the process are required. This study aimed to evaluate the lower facial third proportions i.e


Introduction
The appearance of the face is one of the important features that is seen with subjective senses and interpreted by oneself and others as well, which has an important psychological effect [1]. Facial analysis is a method utilized to check the shape, volume, appearance, symmetry of the face, and harmony with teeth. The features of the face and smile play a vital role in esthetics. The maxillary anterior teeth contribute the most to the natural smile of an individual and pose a great challenge to the clinician in its restoration [1].
The restorative dentist must determine the size of anterior teeth to produce optimal esthetic results [2]. The incorporation of accurate anterior teeth width that is in harmony with facial dimensions is necessary in smile design [3]. In this regard, to evaluate the lower facial third region, various horizontal anatomic dimensions such as intercommisural distance (ICoD), interalar distance (IAD), and interphiltral distance (IPLD) have been proposed in previous studies [4].
"In terms of dental proportions, golden proportion (GP) is one of the most commonly used tools to evaluate anterior teeth width [2]. The Preston proportion, golden percentage, and recurring esthetic dental (RED) proportion are other methods that have been developed over time, to determine the maxillary anterior teeth width [5][6][7]. Golden proportion states that the width of the maxillary lateral incisor should be 62% of maxillary central incisors and the width of maxillary canines should be 62% of maxillary lateral incisors when viewed from the front [8]. Golden percentage (GM) was proposed by Snow in 1999 which states that the width of maxillary central incisors should be 25%, lateral incisor 15%, and canine teeth 10%, of the intercanine distance when viewed from the front [9]. The Preston proportion (PRP) proposes that the width of the maxillary lateral incisor should be 66% of the maxillary central incisor and maxillary canine should be 55% of the maxillary lateral incisors when viewed from the front [10]. The recurring esthetic dental proportion is based on the different widths and height of the maxillary anterior teeth that no other dental proportion has previously described" [7,11].
For the prediction of maxillary anterior teeth width, one can divide the anterior six teeth analysis into two segments: the combined central incisor width, and intercanine distance [12,13]. In the past, ICoD and IAD have been recommended in several studies to determine the intercanine width, but it has been concluded that these methods cannot be used to predict anterior teeth width without modification in edentulous patients [14][15][16]. The dental proportions, such as GP, PRP, GM, and 70% RED proportion, are assumed to produce the most harmonious composition of the maxillary anterior teeth; however, studies carried out in different populations around the globe report their absence in esthetically pleasing smiles [3]. The facial measurement modified with these dental proportions can be utilized to determine the anterior teeth width, when the pre-extraction records of the patients are not available [17].
This study aimed to evaluate the horizontal lower facial third proportions i.e., the in-teralar, interphiltral, and intercommisural distance with dental proportions in predicting maxillary anterior teeth width in Pakistani citizens.

Study Setting and Sample Size
"This analytical study was carried out in the Altamash Institute of Dental Medicine, Pakistan. A non-probability convenience sampling technique was used to recruit participants in this study. The sample size was calculated with the public service creative research systems survey software (Creative research systems, version 9, Petaluma, CA, United States). Considering the mean value of ICoD, 30.48 ± 2.01 mm [18], the estimated sample size at 5% margin of error with 95% confidence interval, 230 individuals with intact natural maxillary anterior teeth were invited to participate in this study from the population of 10,000,000" [7].

Participant Recruitment and Ethical Consideration
"Ethical permission was obtained from the ethical review board of Altamash Institute of Dental Medicine, Pakistan (AIDM/EC/06/2019/06) and Universiti Sains Malaysia (USM/JEPeM/19060380). Participants signed the informed consent. The form number, nationality, age, gender, height, the weight of participants, and contact details were noted in a proforma. The intraoral and extraoral examination was carried out to eliminate facial malformation, asymmetry, deviation in the temporomandibular joint, and difficulty in mouth opening. The participants were also screened for dental caries, any restoration in anterior teeth, malalignment of teeth, gingival inflammation, and history of orthodontic treatment. The weight of participants was also recorded in kilogram (kg) with a digital weighing machine (Seca digital flat weighing machine). The height of participants was measured in centimeters (cm) with a stadiometer (Seca 224 conventional meter). Two hundred and fifty participants were initially screened to be included in the study. Later on, 20 participants were excluded based on inclusion and exclusion criteria (malalignment of teeth, facial asymmetry, restored teeth i.e., composite restoration, crown and bridgework subjects with blur/unclear photographs, impression making errors, and broken or destroyed dental casts in the process of fabrication)" [7,19].

Capturing Full-Face Frontal 2D Photographs
"A digital camera (Canon EOS, DSLR Camera, CMOS, 18 MP,1920 × 1080p/30fps) was used to capture the extraoral and intraoral photographs. The 1:1 macro setting was used for close-up photography of teeth to includes all four maxillary incisors and canine teeth. The 1:10 setting was used to capture the full-face photographs with focus set on the subject's nose tip. The camera was set at the 12o'clock position, mounted on a tripod with a standardized focus and distance of 1.5 m from the participants to ensure distortion-free images. The surrounding lighting was standardized for all the photographs. A ring flashlight source system (LED-FD, 480II, Medike Photo and Video Co., Ltd., Yidoblo, Guangdong, China) was used, and its configuration consisted of a light unit that was mounted next to the camera lens. A full-face and anterior teeth 2D photograph for assessment of our subjects were obtained from the front. The participants were seated upright with shoulders and head held straight and facing forward. The head position was guided by the investigator to assist the participants in assuming their natural head position. The natural head position was standardized along with both horizontal and vertical axes. The height of the camera lens was adjusted on the tripod to match the eye level of the subject in full face and at the level of the incisors for a retracted smile. For intraoral 2D photograph, the upper and lower lips were retracted in all photographs to clearly display the maxillary anterior teeth" [7].

Maxillary Impression and Dental Cast Making
"The fabrication of the maxillary cast was carried out with an impression made in a perforated type of stainless-steel tray that covers the hamular notches and fovea palatine. A space of 3-4 mm was ensured uniformly for the impression material irreversible hydrocolloid impression material (Fast setting alginate hydrogum, Zhermack SpA, Badia Polesine, Italy) and the borders of the tray were extended up to the functional sulcus depth without causing physical discomfort to the subjects. The impressions were poured with Type IV dental stone (ISO Type 3, Elite Rock Zhermack SpA, Badia Polesine, Italy). The bases of casts were created with soft plaster using standardized base formers. In order to obtain a 3D model, the cast was scanned by UP3D Dental Laboratory Scanner (UP360+, 300 × 300 × 400 mm, 3D scanner, Shenzhen, China). The scanner was equipped with 2.0 MP cameras for high precision. The full arch 3D scan was obtained, and the model was displayed on a compatible dental design software (UPCAD, UP3D, Shenzhen, China), then transferred via USB to store in a personal computer" [7].

Plaster and 3D Dental Models Analysis
"The mesiodistal width of the maxillary anterior teeth of the 3D dental model was recorded with a measuring tool in millimeters through Photoshop software (Adobe, version 21.0.2, San Jose, CA, USA). Additionally, the plaster dental cast widths were calculated with a sharp-tipped digital Vernier caliper, that can measure to the nearest (0.02 mm). The mesiodistal widths of central incisors, lateral incisors and canine teeth were measured from the facial side using outer edges of Vernier caliper positioned between the contact points Figure 1. The information of teeth measurements obtained from both sources was then recorded on a Performa. The front face photograph obtained through standardized photography was transferred to (Adobe, version 21.0.2, San Jose, CA, USA). Then, by utilizing its measuring tool, the horizontal lower facial third proportions (ICoD, IAD, and IPLD) between anatomical reference points were measured and rec-orded" [7]. As shown in Figure 2.
colloid impression material (Fast setting alginate hydrogum, Zhermack SpA, Badia Polesine, Italy) and the borders of the tray were extended up to the functional sulcus depth without causing physical discomfort to the subjects. The impressions were poured with Type IV dental stone (ISO Type 3, Elite Rock Zhermack SpA, Badia Polesine, Italy). The bases of casts were created with soft plaster using standardized base formers. In order to obtain a 3D model, the cast was scanned by UP3D Dental Laboratory Scanner (UP360+, 300 × 300 × 400 mm, 3D scanner, Shenzhen, China). The scanner was equipped with 2.0 MP cameras for high precision. The full arch 3D scan was obtained, and the model was displayed on a compatible dental design software (UPCAD, UP3D, Shenzhen, China), then transferred via USB to store in a personal computer" [7].

Plaster and 3D Dental Models Analysis
The mesiodistal width of the maxillary anterior teeth of the 3D dental model was recorded with a measuring tool in millimeters through Photoshop software (Adobe, version 21.0.2, San Jose, CA, USA). Additionally, the plaster dental cast widths were calculated with a sharp-tipped digital Vernier caliper, that can measure to the nearest (0.02 mm). The mesiodistal widths of central incisors, lateral incisors and canine teeth were measured from the facial side using outer edges of Vernier caliper positioned between the contact points Figure 1. The information of teeth measurements obtained from both sources was then recorded on a Performa. The front face photograph obtained through standardized photography was transferred to (Adobe, version 21.0.2, San Jose, CA, USA). Then, by utilizing its measuring tool, the horizontal lower facial third proportions (ICoD, IAD, and IPLD) between anatomical reference points were measured and rec-orded" [7]. As shown in Figure 2.

Validity and Reliability Assessment
"The data collection was performed by a single operator (N.A.). For calibration purposes, another measurement was performed by a senior colleague (J.S.). Then, the data between the two examiners were subjected to correlation analysis, and a strong correlation value was found (0.739). Furthermore, 20% of the 2D photographs and dental models were then re-assessed after a period of 2 weeks by the same operator. The data were analyzed later by the Dahlberg formula to detect intra operator reliability through correlation statistics. For validity purposes, 20% of the dental models and photograph data that were measured with a vernier caliper were compared with the 3D dental model's measurements. The intraclass correlation coefficient test (ICC) was carried out to obtain an association between the two sets of measurements. A strong correlation value of (0.816) was found. To minimize the photographic error, the actual width of maxillary anterior teeth obtained from the dental cast was divided by perceived width from photographs to obtain a conversion factor [13]. The perceived teeth widths were multiplied by the conversion factor, to overcome magnification error, and achieve the true width (clean width) captured in the photographs" [7].

Validity and Reliability Assessment
"The data collection was performed by a single operator (N.A.). For calibration purposes, another measurement was performed by a senior colleague (J.S.). Then, the data between the two examiners were subjected to correlation analysis, and a strong correlation value was found (0.739). Furthermore, 20% of the 2D photographs and dental models were then re-assessed after a period of 2 weeks by the same operator. The data were analyzed later by the Dahlberg formula to detect intra operator reliability through correlation statistics. For validity purposes, 20% of the dental models and photograph data that were measured with a vernier caliper were compared with the 3D dental model's measurements. The intraclass correlation coefficient test (ICC) was carried out to obtain an association between the two sets of measurements. A strong correlation value of (0.816) was found. To minimize the photographic error, the actual width of maxillary anterior teeth obtained from the dental cast was divided by perceived width from photographs to obtain a conversion factor [13]. The perceived teeth widths were multiplied by the conversion factor, to overcome magnification error, and achieve the true width (clean width) captured in the photographs" [7].

Statistical Analysis
"The data were analyzed with the Statistical Package for the Social Sciences Software (Statistics, version 25, Chicago, IL, USA). The distribution of data was analyzed with normality plots and testing (Shapiro-Wilk and Kolmogorov-Smirnov). Descriptive analysis of categorical (gender) and continuous (age, height, weight, teeth widths, facial proportions) variables was performed to calculate the frequency, percentage, mean, and standard deviation. Moreover, mean values of dependent (maxillary anterior teeth, horizontal

Statistical Analysis
"The data were analyzed with the Statistical Package for the Social Sciences Software (Statistics, version 25, Chicago, IL, USA). The distribution of data was analyzed with normality plots and testing (Shapiro-Wilk and Kolmogorov-Smirnov). Descriptive analysis of categorical (gender) and continuous (age, height, weight, teeth widths, facial proportions) variables was performed to calculate the frequency, percentage, mean, and standard deviation. Moreover, mean values of dependent (maxillary anterior teeth, horizontal facial widths) and independent (age, gender, height, and weight) variables were compared using regression analysis, independent and paired t-tests. A p-value ≤ 0.05 was considered statistically significant" [7].

Predicting Intercanine Distance and Combined Central Incisor Width with Dental Proportions
The SPSS data through "compute variable" were processed to determine the predicted ITCD through facial and dental proportion analysis. The multiplication analysis was carried out for the following combinations: the IAD value was multiplied with DP (62%GP by IAD, 70%RED by IAD, PRP by IAD, and GM by IAD). Similarly, ICoD and IPLD were multiplied with DP.
Furthermore, for predicting the CIW the lower facial proportion dimensions were multiplied with DP. The ICoD, IAD, and IPLD were multiplied with 70% RED proportion, 0.5% GM, 1.618% GP, and 1.32% PRP.
The predictions for intercanine distance and combined central incisors width using different lower facial third proportions by dental proportions were evaluated with specific metrics mentioned in Table 1. Table 1. Distribution of modification metrics used to predict the intercanine distance and combined width of central incisors.

Results
This analytical study consisted of 230 participants. The dropout rate of participants in this study was 0.08%. The age range of participants was 18 to 30 years. The mean age of participants was 24.210 ± 3.541. The height of participants was 168 ± 14.844 cm. The weight of participants was 65.932 ±13.058 kg. There were 112 (48.7%) male and 118 (51.3%) female participants in this study.
"The mean width of maxillary anterior teeth obtained through 2D photographs, plaster dental cast and 3D dental models is shown in Table 2. There was no significant difference between combined six anterior teeth distance (ITCD) obtained from plaster dental cast and 3D dental models (p = 0.0736); however, a significant difference (p < 0.001) was found between the plaster cast, 3D models, and 2D photographic width. To evidence the errors of the 2D photographs when determining the teeth dimensions, the clean width (width of teeth after photographic error assessment) of maxillary anterior teeth was obtained. As presented in Table 3. There was a significant difference (p < 0.001) between the mean values of photographic and clean widths of maxillary anterior teeth" [19]. Table 2. Distribution of mean maxillary anterior teeth widths obtained from 2D photographs, 3D, and plaster dental models (n = 230). The comparison of the 3D dental model mesiodistal width for anterior teeth in both sexes has shown a significant difference (p = 0.022) between the right lateral incisor teeth. The t-value (−2.305) was small, which indicates that the mean difference (−0.105) between the values of this tooth was less. However, there was no significant difference between the mean values of the right central incisor (p = 0.138) and canine teeth (p = 0.502).

Maxillary
Furthermore, the mean mesiodistal width of teeth on the left side of the arch showed no significant difference (p > 0.05). Similarly, the intercanine distance showed no significant difference (p = 0.531) in both sexes, Table 4.  measures the size of the difference relative to the variation in sample data, the smaller the t-value, the more similarity exists between the two sample sets, while a large t-score indicates that the groups are different; Mean Difference: the difference between the mean values from two data groups; Std. Error Difference: the standard error of the mean and measures the variability of the sample mean, the smaller the standard error of the mean, the more likely that our sample mean is close to the true participants mean.
The comparison of maxillary anterior teeth' clean width in both sexes is described in Table 5. There was a significant difference between the widths of the right lateral incisor (p = 0.043) and canine teeth (p = 0.004). This was supported by a small t-value, which indicates that the mean difference between the values of these teeth is less. However, the width of right central incisor teeth was similar in both sexes. Likewise, on the left side of the arch, the width of lateral incisor teeth was similar in both sexes. A significant difference (p = 0.001) was found in left canine tooth. The difference was indicated by a t-value of (−3.582). Whereas no significant difference (p > 0.05) was found between the widths of left central incisor teeth. This was supported by a small t-value of (−1.945). Additionally, a significant difference (p = 0.001) was also found between the ITCD values in both sexes. The intercanine distance was larger in females. measures the size of the difference relative to the variation in sample data, the smaller the t-value, the more similarity exists between the two sample sets, while a large t-score indicates that the groups are different; Mean Difference: the difference between the mean values from two data group; Std. Error Difference: the standard error of the mean and measures the variability of the sample mean, the smaller the standard error of the mean, the more likely that our sample mean is close to the true participants mean.
The lower facial third proportion values obtained from 2D photographs is shown in Table 6. The ICoD value was larger than intercanine distance (ITCD), (p = 0.049), whereas IAD was smaller (p = 0.038). The values of both ICoD and IAD were significantly (p = 0.027), (p = 0.019) larger than CIW. The IPLD value was significantly (p = 0.021), (p = 0.001) smaller than CIW and ITCD. The analysis of gender disparity in mean horizontal facial third proportion revealed no significant difference (p = 0.069) between the mean values of ICoD in both sexes, which is supported by a small t-value (−1.828). Similarly, there was no significant difference between the mean values of IAD (p = 0.650), indicated by a small t-value (−0.454), and also in the case of IPLD (p = 0.341), supported by a small t-value (0.954) in both sexes, Table 7. measures the size of the difference relative to the variation in sample data, the smaller the t-value, the more similarity exists between the two sample sets, while a large t-score indicates that the groups are different; Mean Difference: the difference between the mean values from two data groups; Std. Error Difference: the standard error of the mean and measures the variability of the sample mean, the smaller the standard error of the mean, the more likely it is that our sample mean is close to the true participant mean.
The lower facial third proportions were modified with 70% RED proportion, Preston proportion, and golden proportion to predict CIW and ITCD. The mean values of mod-ified IAD, ICoD, and IPLD are shown in Table 8. The mean predicted values of ICoD and IAD were larger than the CIW. However, the (RED and GP by IPLD) values were significantly smaller than CIW. The mean value of IPLD by PRP was found similar to the combined central incisors width. Furthermore, the mean predicted values of (PRP and GM by ICoD) were larger than ITCD. However, the predicted values of IAD and IPLD with all the dental pro-portions were smaller than intercanine distance.
The mean values of lower facial third proportion modified with dental proportions to predict CIW and ITCD in males are presented in Table 9. The mean predicted values of ICoD and IAD were larger than the CIW. While the IPLD with 70% RED, GP, and GM values were smaller than CIW. There was an exact match of IPLD value mod-ified by PRP with combined central incisors width. ITCD: measured intercanine distance, CIW: measured combined width of central incisors, ICoD: intercommisural distance, IAD: interalar distance, IPLD: interphiltral distance, SD: standard deviation, mm: millimeter, PCIW: predicted combined central incisor width value, PITCD: predicted intercanine distance value, b similar superscript small alphabets denote matched predicted IPLD by Preston proportion value with measured combined central incisors width, * the predicted values by recurrent esthetic dental proportion and golden proportion are for both CIW and ITCD due to their constant ratio.
The predicted mean values of ICoD, and IAD were smaller than ITCD. However, the values of ICoD by PRP were larger than intercanine distance.
The mean values of lower facial third proportion modified with dental proportions to predict CIW and ITCD in females are shown in Table 10. The mean predicted values of ICoD, and IAD was larger than the CIW. The IPLD with PRP value was similar to the combined width of central incisors. However, the IPLD value with 70% RED proportion, golden proportion, and the golden percentage was smaller than the combined width of central incisors.   ITCD: measured intercanine distance, CIW: measured combined width of central incisors, ICoD: intercommisural distance, IAD: interalar distance, IPLD: interphiltral distance, SD: standard deviation, PCIW: predicted combined central incisor width value, PITCD: predicted intercanine distance value, f similar superscript small alphabets denote matched predicted IPLD by Preston proportion value with measured combined central incisors width, * the predicted values by recurrent esthetic dental proportion and golden proportion are for both CIW and ITCD due to their constant ratio.
The mean predicted values of ICoD and IAD with PRP and GM were larger than ITCD. Whereas the values of ICoD and IAD with 70% RED, and GP were smaller than the intercanine distance.
Furthermore, Table 11 is representing a regression analysis for the lower facial proportions without modification, with independent variables (age, gender, height, and weight) of participants. The outcome of the study showed that a weak correlation between facial measurements and independent variables existed. The regression model analysis for ICD to independent variables showed a constant for R-Squared (R 2 ) = 0.041 and adjusted R-Squared (AR 2 ) was 0.0241; however, under the influence of external variables, only height presented a significant difference (p = 0.028). The ICoD to height beta (B) value was statistically significant (B = −0.147), which indicates that height had a 0.028 relationship with ICoD, whereas on average, the effect of height on ICoD was (B 0 = −0.016) in this study. The (R 2 ) value of IAD was 0.008 and AR 2 was (−0.011). Additionally, in the case of IPLD, the constant for R-Squared (R 2 ) = 0.127 and adjusted R-Squared (AR 2 ) value was 0.016. The IAD and IPLD showed no significant correlation (p > 0.05) with the age, gender, height, and weight of participants.

Discussion
In this study, we investigated the lower facial third proportions with dental ratios to determine the width of maxillary anterior teeth. For this purpose, the golden proportion, 70% recurring esthetic dental proportion, Preston proportion, and golden percentage were evaluated with ICoD, IAD, and IPLD. The dominant teeth in a pleasing smile are primarily maxillary central incisor and canine, their morphology plays a vital role in dental esthetics [20]. Therefore, one should wisely select the width of maxillary anterior teeth. The width of anterior teeth varies according to arch size, and face form, it also shows a difference in respect to sex, race, and ethnicity of the population [15,16].
In terms of variations in gender regarding horizontal facial proportions, no significant differences in interalar, intercommisural, and interphiltral distance were found. However, these findings were different from a study by Saurabh et al. [17]. The study was carried out in the Indian population and consisted of 200 participants (164 females, 36 males). A similar methodology except for the use of 3D models was adopted. The outcome was well supported by figures and illustrations. They concluded differences in the lower facial third proportions in both sexes. Furthermore, as part of the study, the facial values obtained were significantly different from the Japanese and Caucasian populations. The reason could be the unequal participation of both genders in the study.
The mean age of participants in this study was 24.210 ± 3.541 years and belonged to different ethnic backgrounds. The majority of the participants were from a younger age group of 18 to 25 years. The reason for including participants above the age of 18 years was due to the completion of the growth spurt by this stage. The facial dimensions become stable and mature following puberty. A similar concern and finding was reported by Kurien et al. [20]. The study consisted of 300 participants from a 20 to 50 years age group. The similarity in findings could be due to the anthropometric methods adopted in their study.
In this study, no difference was seen when the 3D dental casts and clean mesiodistal width of maxillary anterior teeth in both sexes were compared. These results, however, were in disagreement with studies carried out by Leung et al. [21] and Horvath et al. [22], where differences were noted between both sexes. This can be due to differences in ethnicities where variations in the size of the teeth were noted.
Regarding the mean predicted values of ICoD, IPLD, and IAD without modification, it was concluded that the ICoD value was larger than maxillary anterior teeth width. The IAD and IPLD values were smaller than both CIW and ITCD. This finding was in contrast to studies carried out by Gomes et al. [18] and Kurien et al. [20], where IAD and ICoD were recommended to be used as a predictor of intercanine distance. The reason for dissimilar results could be due to the methodology adopted in both the studies, which consisted of direct facial measurements, no photographic error assessment being carried out, a lack of biasness control, and no racial difference of the population studied.
When selecting lower facial third measurement data to analyze maxillary anterior teeth width, measuring IAD modified with 70% RED proportion are recommended in evaluating CIW [23]. The IPLD, and ICoD measurements need to be evaluated. and these three facial dimensions could determine the CIW and ITCD by using the GP, GM, PRP, and RED proportion. Valid metrics to assist in this process are needed.
In the current study, ICoD and IAD mean predicated values differed from the CIW when evaluated with 70% RED proportion, golden percentage, and golden proportion, so interalar distance and intercommisural distance cannot be used to determine the combined width of central incisors. Moreover, the literature recommends IPLD as one of the determinants to predict the combined width of central incisors [19]. However, IPLD when modified with these dental proportions cannot be used to determine the combined width of maxillary anterior teeth as reported in this study. This contradicts the study by Liao P [23], where the values of IAD were reported as similar to the combined width of the central incisors. This paradigm and unique study were based on secondary data published. The results were not comparable due to differences in research design and methodology. There are no other comparative studies available in the literature on ICoD and IPLD modified by dental proportions.
The Preston proportion has been used extensively for the determination of maxillary anterior teeth ratios [24][25][26][27]. In our study, IPLD modified by Preston proportion was the only combination that is concluded to be a reliable tool to predict the combined width of central incisors.
Furthermore, the predicted mean values of ICoD were larger than intercanine distance when modified with PRP and GM. Additionally, the mean values of IAD were smaller than intercanine distance. However, these findings contradict a study by Isa et al. [28] where IAD was analyzed directly, though did correlate with the widths of maxillary anterior teeth. The findings are incomparable due to differences in methodologies adopted.
Although golden proportion, golden percentage, and 70% RED proportion have been developed and highlighted extensively in the literature [29][30][31], we concluded in our study that these notions cannot be used successfully in determining the combined width of central incisors and intercanine distance. The findings correspond with numerous studies in the literature where these dental proportions when studied in the width of natural teeth differed in reaching the ideal maxillary anterior teeth width [32,33]. Most of the studies available in the literature are carried out in anterior teeth directly i.e., not investigated with lower facial dimensions. Due to a lack of evidence, the results could not be compared.
When age, gender, height, and weight correlated with lower facial horizontal proportion, a positive impact of height was found with intercommisural distance. These results, however, contrast with Esan et al. [34], who report no significant differences between intercommisural distance and height of participants. This could be due to differences in ethnicities of the population in the study.
Despite the strengths of this study, such as including a large sample size, the proposal of valid metrics, and comparative analysis to predict the width of maxillary anterior teeth, there are some limitations. Firstly, there can be selection biasness since the non-probability convenience sampling technique was used, which questions the reproducibility of the data. The study was based on a specific geographical region; hence, the outcome best suits the population studied. The findings were not compared within different dental arch classifications. Lastly, the inclusion and comparison of population on an ethnic basis would increase the scope of this study. Therefore, we recommend that patients' and clinicians' opinions on the application of dental proportions for esthetic restorative outcomes in clinical cases are critical. The opinion should be determined based on a diverse population from different regions so that it comprehensively covers various beauty standards across the globe. Future studies which assess the clinical impact of the different dental proportions with patient opinions are recommended.
The modified horizontal facial third measurements are recommended to determine the maxillary anterior teeth width. The interphiltral distance modified by the Preston proportion can be used to predict the combined width of central incisors. The current study indicates that the predicted combined width of central incisors using the Preston proportion showed an exact match with maxillary anterior teeth width. This provides substantial scientific evidence for evaluation. The metrics could be adopted by clinicians to construct an esthetically pleasing smile. The metrics could also be used by digital programmers in rapid prototyping machines, computer-aided design, and computer-aided manufacturing (CAD-CAM).

Conclusions
Within the limitation of this study the following conclusions were drawn: 1.
The ICoD, IAD, and IPLD could not be used to determine the combined central incisors and intercanine width without modification.

2.
The IPLD modified by the Preston proportion is a reliable method to predict CIW in the studied population. 3.
The study reached conclusions based on a specific population and results from GP, GM, and 70% RED proportions, which had been reported for other regions and are not reliable methods to predict CIW and ITCD.

4.
There was a significant difference in gender disparity when ICoD, IAD, and IPLD were modified by DP, except in the case of IPLD with PRP. Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.

Data Availability Statement:
The data presented in this study are available on request from the corresponding author.