Quantitative 3-dimensional Geometry of the Aging Eyelids

BACKGROUND:Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection. METHODS:Forty-s...

Full description

Saved in:
Bibliographic Details
Published inPlastic and reconstructive surgery. Global open Vol. 7; no. 11; p. e2512
Main Authors Flores, Cristina A., Mundy, Joseph L., Byrne, Margaret E., Gonzalez, Jose A., Taylor, Helena O.
Format Journal Article
LanguageEnglish
Published United States The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons 01.11.2019
Copyright The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Plastic Surgeons. All rights reserved
Wolters Kluwer Health
Wolters Kluwer
Subjects
Online AccessGet full text
ISSN2169-7574
2169-7574
DOI10.1097/GOX.0000000000002512

Cover

More Information
Summary:BACKGROUND:Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection. METHODS:Forty-six white women were divided into 3 age groups20–39 years, 40–59 years, and 60+ years. Patients were scanned with the Canfield 3D photogrammetry system, and data files were exported to the point cloud processing software CloudCompare. Manually selected points specifying eyelid margins, creases, and 5 key periorbital features provided the basis for a fitted model and principal component analysis (PCA). Potential statistical significance across age groups was assessed for PCA values corresponding to each subjectʼs eyelid geometry. RESULTS:Three tendencies emerged with respect to increasing age and eyelid anatomythe width and height of the palpebral fissure decreases, with the width decreasing more rapidly; the depth of the lateral canthus relative to the medial canthus decreases; and the superior crease becomes more variable. Analyses of variance of PCA values across age groups show statistically significant differences between the youngest and oldest groups. CONCLUSIONS:Three-dimensional photogrammetry enables rigorous and reliable evaluation of the aging eyelid. Results suggest age-induced changes to eyelid margin, crease, and lateral canthus positions, which have been noted anecdotally but poorly quantified until now.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2169-7574
2169-7574
DOI:10.1097/GOX.0000000000002512