Photogrammetric Evaluation of Soft Tissue Profile and Frontal Photographs in Repaired Bilateral Cleft Lip and Palate

Quantifying Sagittal Lip Changes in Patients with Bilateral Cleft Lip Post Abbe Flap Reconstruction

OBJECTIVES

To objectively quantify results of sagittal lip changes following Abbe flap reconstruction in patients with bilateral cleft lip.

DESIGN

Retrospective, observational study.

SETTING

Single institution, 8-year retrospective review.

PATIENTS/PARTICIPANTS

In total, 17 patients with bilateral cleft lip that underwent Abbe flap reconstruction were included in this study.

INTERVENTION

Patients had lateral photographs taken prior to Abbe flap reconstruction and at least 8 months post-Abbe flap.

MAIN OUTCOME MEASUREMENTS

Vegter's index, Sushner's S2 line and Burstone's B line reference lines were used for evaluation of sagittal lip changes. Wilcoxon signed rank tests were used in analysis.

RESULTS

The mean pre-Abbe flap upper to lower lip ratio, defined as Vegter's Lip Index, was 0.906 compared to a mean of 0.946 following Abbe flap reconstruction. The mean upper to lower lip ratio for Sushner's S2 and Burstone's B line exhibited an increase in upper lip sagittal projection from -0.164 to 1.459 and 0.259 to 0.957, respectively (P < 0.001).

CONCLUSIONS

This study quantifies sagittal changes to upper and lower lip position after Abbe flap reconstruction. These findings may aid in operative planning and patient/caregiver expectations during counseling.

Cephalometric Soft Tissue Morphology of Adults With Unoperated Submucous Cleft Palate

The aim of this study was to compare craniofacial soft tissue characteristics between subjects with unrepaired submucous cleft palate (SMCP) and noncleft individuals.

This retrospective cross-sectional study was performed on 27 subjects with unrepaired SMCP (13 male and 14 female subjects; mean age, 21.77 ± 4.09 years) and 30 noncleft controls (14 male and 16 female subjects; mean age, 22.67 ± 4.28 years). The predictor variable was cleft deformity. The outcome variable was cephalometric soft tissue measurements. Other study variables were gender and age. Independent samples t test and Mann-Whitney U test were used for intergroup comparison. P value was set at .05.

Significant differences were observed in the facial profile angle, total facial profile angle, soft tissue A-N-B angle, nasal base prominence, upper lip length, lower lip protrusion, and the ratio of upper lip length to mentolabial height between subjects with unoperated SMCP and noncleft controls.

The primary deformity of the cleft palate leads to unsatisfactory facial soft tissue morphology, especially in the middle facial region.

A deep learning framework to scale linear facial measurements to actual size using horizontal visible iris diameter: a study on an Iranian population

Digital images allow for the objective evaluation of facial appearance and abnormalities as well as treatment outcomes and stability. With the advancement of technology, manual clinical measurements can be replaced with fully automatic photographic assessments. However, obtaining millimetric measurements on photographs does not provide clinicians with their actual value due to different image magnification ratios. A deep learning tool was developed to estimate linear measurements on images with unknown magnification using the iris diameter. A framework was designed to segment the eyes' iris and calculate the horizontal visible iris diameter (HVID) in pixels. A constant value of 12.2 mm was assigned as the HVID value in all the photographs. A vertical and a horizontal distance were measured in pixels on photographs of 94 subjects and were estimated in millimeters by calculating the magnification ratio using HVID. Manual measurement of the distances was conducted on the subjects and the actual and estimated amounts were compared using Bland-Altman analysis. The obtained error was calculated as mean absolute percentage error (MAPE) of 2.9% and 4.3% in horizontal and vertical measurements. Our study shows that due to the consistent size and narrow range of HVID values, the iris diameter can be used as a reliable scale to calibrate the magnification of the images to obtain precise measurements in further research.

Face Structure, Beauty, and Race: A Study of Population Databases Using Computer Modeling

Background

Understanding the differences in facial shapes in individuals from different races is relevant across several fields, from cosmetic and reconstructive medicine to anthropometric studies.

Objectives

To determine whether there are features shared by the faces of an aesthetic female face database and if they correlate to their racial demographics using novel computer modeling.

Methods

The database was formed using the "top 100 most beautiful women" lists released by "For Him Magazine" for the last 15 years. Principal component analysis (PCA) of 158 parameters was carried out to check for clustering or racial correlation with these clusters. PCA is a machine-learning tool used to reduce the number of variables in a large data set, allowing for easier analysis of the data while retaining as much information as possible from the original data set. A review of the literature on craniofacial anthropometric differences across ethnicities was also undertaken to complement the computer data.

Results

Two thousand eight hundred and seventy aesthetic faces formed the database in the same racial proportion as 10,000 faces from the general population as a baseline. PCA clustering illustrated grouping by latent space parameters for facial dimensions but showed no correlation with racial demographics. There was a commonality of facial features within the aesthetic cohort, which differed from the general population. Fourteen papers were included in the review which contained 8142 individuals.

Conclusions

Aesthetic female faces have commonalities in facial features regardless of racial demographic, and the dimensions of these features vary from the baseline population. There may even be a common human aesthetic proportion that transcends racial boundaries, but this is yet to be elucidated.

Level of Evidence 5