Literature DB >> 24401152

The expression and comparison of healthy and ptotic upper eyelid contours using a polynomial mathematical function.

Mehmet C Mocan1, Hacer Ilhan, Hasmet Gurcay, Ozlem Dikmetas, Erdem Karabulut, Ugur Erdener, Murat Irkec.   

Abstract

PURPOSE: To derive a mathematical expression for the healthy upper eyelid (UE) contour and to use this expression to differentiate the normal UE curve from its abnormal configuration in the setting of blepharoptosis.
METHODS: The study was designed as a cross-sectional study. Fifty healthy subjects (26M/24F) and 50 patients with blepharoptosis (28M/22F) with a margin-reflex distance (MRD1) of ≤2.5 mm were recruited. A polynomial interpolation was used to approximate UE curve. The polynomial coefficients were calculated from digital eyelid images of all participants using a set of operator defined points along the UE curve. Coefficients up to the fourth-order polynomial, iris area covered by the UE, iris area covered by the lower eyelid and total iris area covered by both the upper and the lower eyelids were defined using the polynomial function and used in statistical comparisons. The t-test, Mann-Whitney U test and the Spearman's correlation test were used for statistical comparisons.
RESULTS: The mathematical expression derived from the data of 50 healthy subjects aged 24.1 ± 2.6 years was defined as y = 22.0915 + (-1.3213)x + 0.0318x(2 )+ (-0.0005x)(3). The fifth and the consecutive coefficients were <0.00001 in all cases and were not included in the polynomial function. None of the first fourth-order coefficients of the equation were found to be significantly different in male versus female subjects. In normal subjects, the percentage of the iris area covered by upper and lower lids was 6.46 ± 5.17% and 0.66% ± 1.62%, respectively. All coefficients and mean iris area covered by the UE were significantly different between healthy and ptotic eyelids.
CONCLUSIONS: The healthy and abnormal eyelid contour can be defined and differentiated using a polynomial mathematical function.

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Mesh:

Year:  2014        PMID: 24401152     DOI: 10.3109/02713683.2013.860992

Source DB:  PubMed          Journal:  Curr Eye Res        ISSN: 0271-3683            Impact factor:   2.424


  3 in total

1.  Comparing the symmetry of upper eyelid following unilateral ptosis correction.

Authors:  Hasan Aytogan; Emre Ayıntap
Journal:  BMC Ophthalmol       Date:  2021-12-20       Impact factor: 2.209

2.  Deep learning-based image analysis for automated measurement of eyelid morphology before and after blepharoptosis surgery.

Authors:  Lixia Lou; Jing Cao; Yaqi Wang; Zhiyuan Gao; Kai Jin; Zhaoyang Xu; Qianni Zhang; Xingru Huang; Juan Ye
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

3.  A Fully Automatic Postoperative Appearance Prediction System for Blepharoptosis Surgery with Image-based Deep Learning.

Authors:  Yiming Sun; Xingru Huang; Qianni Zhang; Sang Yeul Lee; Yaqi Wang; Kai Jin; Lixia Lou; Juan Ye
Journal:  Ophthalmol Sci       Date:  2022-05-18
  3 in total

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