Background/Objectives: This study aimed to compare the associations of digital measurements obtained from orthopantomographies (OPGs) or panoramic radiographs and lateral cephalograms in evaluating facial asymmetry in patients with different skeletal classes. The sample consisted of 128 Romanian patients (67 females, 61 males) who sought orthodontic treatment. These measurements are an essential diagnostic tool for evaluating facial asymmetry in order to treat them. Methods: Lateral cephalograms and OPGs were obtained for each patient, and digital tracing was performed using the WebCeph program. Angular measurements (ANB, FMA, gonial angles) and linear measurements (ramus height, mandibular body length) were assessed on both imaging modalities. Results: Strong positive correlations were found between the gonial angle and ramus height measurements obtained from lateral cephalograms and OPGs (rs range: 0.800–0.946; p < 0.001). However, the mandibular body length showed weaker correlations between the two methods. Significant sex differences were observed, with males exhibiting larger craniofacial measurements compared to females (p < 0.05). The study population was quite young, as seen by the cohort’s median age of 21 years and interquartile range (IQR) of 16 to 29 years. Lateral Ceph: the FMA angle median value of 22° (IQR: 17–25), gonial angle median of 121° (IQR: 116–127), mandibular ramus height median value of 44 mm (IQR: 41–48 mm), and mandibular body length median value of 70 mm (IQR of 65 to 76 mm). OPG: gonial angles on the right and left sides yield medians of 121° (IQR: 116–127) and 122° (IQR: 117–127); the mandibular ramus height on the right and left sides shows medians of 44.0 mm (IQR: 40.0–47.0 mm) and 43 mm (IQR: 40–48 mm); and the mandibular body on the right side presents a median of 71 mm (IQR: 67–76 mm) and the left side has a median of 71 mm (IQR: 67–75 mm). Conclusions: The findings suggest that OPGs can be reliably used to measure the gonial angle and ramus height, providing results comparable to lateral cephalograms. However, caution should be exercised when predicting horizontal measurements from OPGs. The standardization of the OPG recording process and further research with larger sample sizes are required to establish standard panoramic norms for OPG parameters in the assessment of facial asymmetry.

(1) Background: This retrospective cohort study aimed to investigate the cephalometric evaluation of facial height ratio (FHR) and growth patterns. (2) Methods: We assessed facial height ratios, the y-axis to SN angle, and growth patterns in 94 participants from Timis County using digital cephalograms. Angle’s classification guided the categorization of participants. We digitally traced and analyzed cephalograms using the WebCeph imaging software. We conducted the statistical analysis using Python version 3.11.9. We performed the following statistical tests: Welch’s t-test or ANOVA (analysis of variance), Mann–Whitney U test or the Kruskal–Wallis test, χ² test or Fisher’s, and logistic regression. (3) Results: Significant correlations were observed between FHR and craniofacial development, especially in hypodivergent growth patterns. Among the molar classes, the most predominant growth pattern in Class I was normodivergent (61.5%), followed by hypodivergent (33.3%). In Class II, hypodivergent growth was the most common (52%), with a smaller proportion of normodivergent cases (30.8%). Class III was characterized by a mix of growth patterns, with hypodivergent being predominant (14.7%). Across all groups, the y-axis to SN angle remained within normal limits, and a strong negative correlation with Jarabak’s ratio was found (r = −0.72, p < 0.001). This shows the importance of using holistic assessment methods in orthodontic practice. (4) Patients from Timis County mostly have a hypodivergent growth pattern across all types of malocclusions. Understanding these patterns is essential for comprehensive orthodontic treatment planning. We need to conduct further research to investigate the implications of these findings on treatment outcomes and patient care.

Background/Objectives: This study aims to investigate the correlation between facial soft tissues, teeth, and skeletal growth patterns in order to provide an accurate diagnosis and orthodontic treatment plan using digital examination of lateral cephalograms. Achieving the best orthodontic outcome begins with an accurate, timely, and thorough diagnosis before starting the treatment phase. Methods: This cross-sectional study investigated the correlation between facial soft tissues, dental hard tissues, and skeletal growth patterns in 100 Romanian orthodontic patients (52 females, 48 males; median age 26 years) using digital lateral cephalograms. The measurements included skeletal parameters (ANB angle, FMA, Wits appraisal), dental parameters (inclinations of upper and lower incisors, interincisal angle), and soft tissue parameters (nasolabial angle, upper and lower lip positions relative to E-plane), all assessed using the AI-powered WEBCEPH software. Statistical analysis was conducted using RStudio (version 4.3.1). Results: A total of 100 subjects (52% female; median age, 26 years [range, 19–32 years]) were evaluated. No significant gender-based differences were found across cephalometric, soft tissue, or dental parameters. When stratified by ANB classification (Class I, 41%; Class II, 48%; Class III, 11%), significant differences emerged in the interincisal angle (p = 0.047), L1-to-LOP measurement (p < 0.001), lip-to-E-plane distances (p ≤ 0.009), Wits appraisal (p < 0.001), and the ANB angle itself (p < 0.001). Furthermore, stratification by FMA classification revealed expected differences in FMA values (p < 0.001) and a significant variation in the distribution of ANB classes (p = 0.042). All other cephalometric and soft tissue parameters remained comparable across FMA categories. Conclusions: The study highlights the importance of integrating hard and soft tissue analyses in orthodontic diagnosis and treatment planning to achieve optimal aesthetic and functional outcomes.

Background/Objectives: This study aims to investigate the correlation between vertical facial dimensions, lip morphology, angular facial parameters, and demographic variables (age and sex) in Romanian orthodontic patients, using structured-light 3D facial scanning technology. Methods: This cross-sectional study assessed craniofacial soft tissue parameters in 90 Romanian orthodontic patients (57 females, 33 males; median age 14 years) using the MetiSmile 3D facial scanner. Measurements included vertical facial heights (upper, middle, and lower), total facial height, facial proportion indices, lip lengths, interpupillary distance, bizygomatic width, mouth width, angular parameters (nasofrontal, nasolabial, mentolabial, and facial angles), and distances from the lips to the esthetic (E) line. Spearman’s rank correlation and Mann–Whitney U-tests were applied for statistical analysis. Results: A total of 90 subjects (63.3% female; median age, 14 years [range: 9–27 years]) were evaluated. Age showed strong positive correlations with total facial height (ρ = 0.690), middle (ρ = 0.631), and lower facial height (ρ = 0.615), while upper facial height had a weaker correlation (ρ = 0.334). Upper and lower lip lengths were moderately correlated with each other and with bizygomatic and interpupillary widths. Vertical facial proportion indices reflected distinct associations with their respective facial segments. Sex-based analysis revealed that females had significantly greater middle and total facial heights and nasofrontal angles, while males exhibited larger nasolabial angles. Upper lip protrusion relative to the E-line was significantly more pronounced in females (p = 0.041). No significant sex differences were noted in lip dimensions or transverse widths. Conclusions: The research demonstrates the value of 3D structured-light facial scanning in orthodontics as a non-invasive, radiation-free method for evaluating age- and sex-related morphological patterns. These findings support the integration of facial morphometric analysis into individualized diagnostic and treatment workflows in clinical orthodontics.

Background/Objectives: Combining orthognathic surgery with orthodontic therapy is a crucial approach for correcting severe dentofacial deformities that orthodontics alone cannot address. This study aimed to quantify skeletal, dental, and soft tissue alterations following orthognathic surgery and to assess correlations among cephalometric parameters to improve understanding of treatment outcomes. Methods: A prospective observational study was conducted on 25 Romanian patients (44% female and 56% male; median age, 28 years) who underwent orthognathic surgery. Standardized pre- and postoperative lateral cephalometric radiographs were analyzed using WebCeph 2.0.0 software. The evaluated parameters included the SNA angle (sella–nasion–point A, indicating maxillary position), SNB angle (sella–nasion–point B, indicating mandibular position), ANB angle (maxillo-mandibular relationship), Pog-N-Perp (distance from pogonion to the nasion-perpendicular line), U1–NA° (inclination of the upper incisor relative to the maxillary base), L1–NB° (inclination of the lower incisor relative to the mandibular base), nasolabial angle, and facial convexity. Statistical analyses included paired t-tests and correlation analysis. Results: Significant anterior repositioning of the maxilla was observed, with SNA increasing from 83.6° to 86.3° (p = 0.019). The SNB angle remained stable, while ANB increased toward normalized sagittal relationships (0.9° to 3.0°, p = 0.060). Soft tissue analysis revealed a slight increase in the nasolabial angle (102° to 105°) and improved facial convexity. Strong correlations were found between skeletal parameters (SNB and ANB, r = −0.852, p < 0.001) and between skeletal and dental variables (ANB and L1–NB°, r = 0.652, p < 0.001), confirming coordinated skeletal–soft tissue adaptation. Conclusions: Orthognathic surgery significantly enhances skeletal balance and facial harmony, particularly through maxillary advancement. The integration of virtual surgical planning and interdisciplinary collaboration improves accuracy, predictability, and patient-centered outcomes in surgical orthodontics.

(1) Background: This retrospective cohort study aimed to investigate the cephalometric evaluation of facial height ratio (FHR) and growth patterns. (2) Methods: We assessed facial height ratios, Y-axis to SN angle, and growth patterns in 94 participants from Timis county using digital cephalograms. Participants were categorized based on Angle’s classification. Cephalograms were digitally traced and analyzed using WebCeph imaging software. Statistical analysis was conducted using Python version 3.11.9. (3) Results: Significant correlations were observed between FHR and craniofacial development, particularly regarding hypodivergent growth patterns. In a sample of 94, molar classes showed varying patterns: Class I—33.3% hyperdivergent, 61.5% normodivergent, 33.3% hypodivergent. Class II—50% hyperdivergent, 30.8% normodivergent, 52% hypodivergent. Class III—16.7% hyperdivergent, 7.7% normodivergent, 14.7% hypodivergent. Y-axis to SN angle values were within normal limits across groups (Group I: 65.0 (IQR: 61.2-69.0), Group II: 65.0 (IQR: 62.0-69.0), Group III: 67.0 (IQR: 59.7- 69.0). A strong negative correlation was found between Y-axis to SN angle and Jarabak’s ratio (r = -0.72, p < 0.001), highlighting the need for holistic assessment methods in orthodontic practice. (4) Conclusion: Patients from Timis county predominantly exhibit a hypodivergent growth pattern across all malocclusion types. Understanding these patterns is essential for comprehensive orthodontic treatment planning. Further research is needed to explore the implications of these findings on treatment outcomes and patient care.