Shehab, Abdallah A.

Background: Sexual dimorphism in the facial skeleton is fundamental to aesthetics and gender perception. This study employs AI-assisted three-dimensional (3D) imaging to analyze morphological differences between males and females in the upper, mid, and lower facial regions. Methods: A retrospective analysis was conducted on 280 high-resolution craniofacial CT scans (147 females, 133 males) of adults aged 20 years and older. AI-assisted segmentation and modeling were performed using Materialise Mimics and 3-Matic software. The facial skeleton was divided into upper, mid, and lower regions for detailed morphometric evaluation. Statistical shape modeling (SSM) and heatmaps were used to visualize surface projection differences across age groups. Statistical comparisons were conducted to assess gender-based variation. Results: Significant sexual dimorphism was observed across all facial regions. In the upper face, males had greater interorbital width, frontotemporal brow width, inter-medial canthi distance, and more prominent frontal bossing. In the midface, males exhibited increased width, depth, and vertical height, with the most pronounced differences occurring in middle age. The lower face showed larger mandibular dimensions in males, including bigonial width, ramus height, and a sharper mental angle, while females had a more rounded chin and smoother mandibular contour. Heatmaps confirmed greater surface projection in male skeletons, particularly in the gonial and midfacial regions, with dimorphism decreasing with age. Conclusion: This represents the first large-sample CT study utilizing AI to comprehensively quantify facial skeletal dimorphism. Findings support the importance of gender-specific planning in facial reconstructive and aesthetic procedures.

Background: Mandible contour significantly influences facial appearance, framing the lower facial silhouette. Redefining mandibular contour is key for facial and neck rejuvenation. Yet, there is limited facial aging research across different lifespans and sexes. Here, we utilize artificial intelligence and advanced 3-dimensional (3D) analysis to elucidate mandibular aging patterns in male and female subjects. Methods: A retrospective analysis of facial computed tomography scans in White patients was conducted, categorizing subjects into 3 age groups (20–79 y) and stratifying them by sex. Artificial intelligence–assisted segmentation into 3D mandibles was done in Mimics v.25, and statistical shape modeling was used to create an average mandible for each group. Volume and linear measurements were assessed via 3D overlays. Results: Analysis of 280 mandibles demonstrated statistically significant aging changes in both sexes. Ramus height showed a marked decrease with age, by approximately 5.3 mm in women and 4.2 mm in men (P < 0.001). Interrami and intercondylar widths increased by a mean of 4–5 mm (P < 0.01). Women exhibited an increase in mandibular angle (P < 0.01), and bony resorption over the chin compared to men, who exhibited concentrated bone resorption at the gonion projection. Conclusions: Mandibular aging, independent of tooth loss, exhibits specific bone remodeling patterns by sex. Posteriorly, mandibular widths increase in both sexes, whereas ramus height decreases. Women experience more resorption at the anterior alveolar surface and chin than men. Statistical shape modeling effectively visualizes these patterns on a population level, bridging the gap between traditional aging research and current understanding.

Background: Despite increased adoption of virtual surgical planning (VSP) in various craniofacial indications, the incorporation of VSP/3DP into facial trauma care remains limited. Therefore, Expedited Preoperative Point of Care for Fracture Reduction to Normalized Anatomy and 3DP to Improve Surgical Outcomes (EPPOCRATIS) was introduced in 2021. This study evaluates our experience with EPPORATIS in craniomaxillofacial trauma over 10 years. Methods: A retrospective review of patients who underwent facial trauma repair between September 2014 and September 2024 was conducted. For each VSP/3DP case, a patient with similar facial trauma patterns, who was treated without VSP, was selected. Evaluation metrics included operative time, blood loss, length of stay, complication rates, and fracture reduction accuracy through 3D heatmap analyses. Operative metrics were normalized by implant (i.e., fracture plates and screws) count to account for fracture complexity. A value of p < 0.05 was deemed statistically significant. Results: The VSP group presented with more complex injuries and higher involvement of various surgical specialties (p < 0.5) and demonstrated longer operative times (p < 0.03). Although the difference was not statistically significant (p = 0.4), when adjusted for implant count, the VSP group had shorter operative times (median: 15.4 vs. 19.3 min/implant) and reduced blood loss compared to non-VSP cases (median: 3.4 mL/implant vs. 4.2 mL/implant). Complications, revision rates, and length of stay showed no significant differences. Conclusions: The use of VSP/3DP (EPPOCRATIS) in craniomaxillofacial trauma reconstruction demonstrated operative efficiency and accurate fracture reduction in complex cases. Further studies are needed to examine the feasibility and cost-effectiveness of point-of-care VSP/3DP in trauma centers.

Objective Our goal is to address the health literacy gap concerning cleft lip and palate using artificial intelligence (AI), specifically OpenAI's ChatGPT-4, to enhance the readability of patient educational materials (PEMs). Additionally, we aim to explore the integration of interactive educational materials into these resources. Design A cross-sectional study. Setting Websites of craniofacial teams approved by the American Cleft Palate-Craniofacial Association (ACPA). Patients/Participants PEMs collected from these websites. Interventions First, we examined the PEMs for interactive educational content such as videos, photos, case examples, and audio clips. Subsequently, we used the WebFX online readability calculator and Grammarly to evaluate the texts’ readability and clarity. After that, we used ChatGPT-4 to simplify the PEM texts to a 6th-grade reading level and re-evaluated their readability and clarity. Main Outcome Measure(s) Readability levels (grade level) and clarity scores of PEMs before and after AI modification, and the presence of interactive educational content. Results Initial evaluations using the Flesch-Kincaid Grade Level formula showed that the texts were written at a median 9th-grade reading level. Modifications using ChatGPT-4 significantly improved readability, achieving a median 6th-grade level and enhanced clarity. Only 27% of the websites featured interactive educational content, indicating a gap in utilizing educational enhancements. Conclusion The use of AI improved the readability and clarity of patient educational materials, aligning with recommended standards. However, the underutilization of interactive tools suggests a need for broader integration of these resources to optimize patient education and engagement.

Background: With neck, aging the cervicomental angle becomes obtuse and may be influenced by hyoid bone aging. An understanding of hyoid position changes with aging will further our understanding of its role in neck contour changes. Methods: A 3D volumetric reconstruction of 282 neck computed tomography scans was performed. The cohort was categorized into three groups based on age: 20 years or older and younger than 40 years, 40 years or older and younger than 60 years, and 60 years or older and younger than 80 years. The vertical and horizontal hyoid distances in relation to the mandible were calculated for each patient. Results: A total of 282 patients (153 women, 129 men) were included in the cohort. The age groups were evenly distributed in men and women. Mean hyoid vertical and horizontal distances differed between women and men in all age groups. There was a significant difference in the hyoid vertical distance between 20–39 years old to 40–59 years old in men (P < 0.01), and 20–39 years old to 60–79 years old in both genders (women P = 0.005, men P < 0.01). Hyoid horizontal distance was not affected by age and sex (age and sex: P > 0.05), but rather by body mass index (BMI). Every 5 BMI points corresponded to a forward movement of 2 mm. Conclusions: As individuals age, the hyoid bone descends in both sexes, and an increase in BMI is associated with forward movement. Additional studies are needed to assess the correlation of the hyoid position between upright and supine positions.