The Smile Index: Part 1. A Large-Scale Study of Phenotypic Norms for Preoperative and Postoperative Unilateral Cleft Lip
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Updated: Aug 12, 2026

Quantification of Orofacial Phenotypes in Xenopus
Published on: November 6, 2014
Caroline A Yao1,2, Thomas Imahiyerobo1,2, Jordan Swanson1,2
1Los Angeles, Calif.; New York, N.Y.; and Norfolk, Va.
Background:
Unilateral cleft lip has a spectrum of disease morphology, but severity classifications are difficult given the absence of accessible, objective assessment tools or reference data. The authors characterize the spectrum of cleft morphology before and after surgical repair for a large, multi-ethnic population using easily identifiable facial landmarks collected through a novel smart phone-based application.
Methods:
Anthropometric measurements and standardized photographs were prospectively collected in Morocco, Bolivia, Vietnam, and Madagascar during medical missions in 2015 using an application designed specifically for the study. After data collection, two experienced cleft surgeons and two laypersons subjectively ranked photographs based on the degree of deformity/aesthetics.
Results:
One hundred forty-seven patients were analyzed. Mean preoperative cleft width ratio was 0.4 ± 0.12. Nasolabial symmetry improved significantly from preoperatively to postoperatively for the following measurements: columellar angle (65 ± 17 degrees to 87 ± 8 degrees), nostril width ratio (1.7 ± 0.68 to 1.0 ± 0.22), philtral height ratio (0.8 ± 0.14 to 1.0 ± 0.14), and lip length ratio (0.9 ± 0.26 to 1.0 ± 0.11) (p < 0.001). Surgeon and layperson rankings showed high inter-rater reliability (r = 0.64, p < 0.001). Preoperatively, multivariate regression showed that cleft width ratio, nostril width ratio, and philtral height ratio were predictive of rank (p < 0.01). Postoperatively, philtral height ratio was most predictive of rank (p = 0.0097). Most cleft characteristics were not significantly different between countries.
Conclusions:
The authors present simpler, more straightforward measures to quantify preoperative and postoperative morphology/aesthetics and introduce a novel technology to streamline and standardize measurements to make data collection more accessible.
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