Smartphone 3D Facial Images for Cleft Patients
Author Information
Author(s): Singh Pradeep, Hsung Richard Tai‑Chiu, Ajmera Deepal Haresh, Said Noha A., Leung Yiu Yan, McGrath Colman, Gu Min
Primary Institution: The University of Hong Kong
Hypothesis
Can smartphone-generated 3D facial images accurately assess the oronasal region of patients with cleft lip and palate compared to traditional methods?
Conclusion
Smartphone-generated 3D facial images are reasonably accurate for assessing specific areas of the oronasal region in cleft patients but have limited clinical applicability for comprehensive assessments.
Supporting Evidence
- Smartphone-generated images showed good agreement with traditional methods for certain facial measurements.
- 16% of measurements between smartphone and direct anthropometry were clinically acceptable.
- 59% of measurements between smartphone and 3dMD were clinically acceptable.
- Mean absolute differences for linear measurements were 1.31 ± 0.34 mm compared to direct anthropometry.
Takeaway
Researchers used smartphone pictures to see if they could measure faces of patients with cleft lip and palate accurately. They found that while the smartphone images were good for some areas, they weren't perfect for everything.
Methodology
The study compared measurements from smartphone-generated 3D images with those from direct anthropometry and a 3D imaging system (3dMD) using 17 cleft lip and palate patients.
Potential Biases
Potential for motion artifacts during image capture and reliance on patient cooperation.
Limitations
The study's findings may not apply to younger or uncooperative patients, and smartphone technology may vary in accuracy.
Participant Demographics
17 patients (9 males, 8 females; mean age 23.3 ± 5.4 years) with cleft lip and palate.
Statistical Information
P-Value
p<0.002
Statistical Significance
p<0.002
Digital Object Identifier (DOI)
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