Assessment of the Cleft Nasal Deformity Using a Regression Equation

Author:

Kim Soo Chan1,Nam Ki Chang2,Rah Dong Kyun3,Cha Eun Jong4,Kim Deok Won5

Affiliation:

1. Graduate School of Bio & Information Technology, Electronic Technology Institute, Hankyong National University, Anseong, Korea.

2. Korea Electrotechnology Research Institute, Ansan, Korea.

3. Department of Plastic & Reconstructive Surgery, Yonsei University College of Medicine, Seoul, Korea.

4. Department of Biomedical Engineering, Chungbuk National University, Cheongjoo, Korea.

5. Department of Medical Engineering, Yonsei University College of Medicine, Seoul, Korea.

Abstract

Objective: The purpose of this study is to propose an objective and simple method for assessing surgical outcomes of cleft nasal deformity using two-dimensional digital images. Design: Five plastic surgeons evaluated slides of 20 normal and 65 repaired cleft nasal deformities using the full range of values from 0 to 100 with 10-point intervals. Five laypersons rated 12 parameters per image from the same data set using the developed assessment tool. Correlation coefficients between the parameter values and the surgeons’ grades were obtained to find the best matches, and a regression equation was formulated using those. The reproducibility of the proposed method used by the laypersons was compared with that of the subjective grades made by the surgeons. Results: The mean correlation coefficient among the evaluated grades by the five laypersons using the proposed method was higher (.90) than that for the subjectively determined grades from the five plastic surgeons (.80). The grade reproducibility of the patients by the laypersons (9.6%) was also better than that by the surgeons (14.6%). Conclusions: The proposed assessment tool, including the regression equation, allows laypersons as well as surgeons to perform simple, reproducible, quantitative, and objective assessments of the surgical outcomes for cleft nasal deformity using two-dimensional photographs.

Publisher

SAGE Publications

Subject

Otorhinolaryngology,Oral Surgery

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3