J Korean Ophthalmol Soc > Volume 60(3); 2019 > Article
Journal of the Korean Ophthalmological Society 2019;60(3):210-216.
DOI: https://doi.org/10.3341/jkos.2019.60.3.210    Published online March 15, 2019.
Semi-automatic Measurement of Ocular Volume from Facial Computed Tomography and Correlation with Axial Length.
Junkyu Chung, In Ki Park, Samjin Choi, Jae Ho Shin
1Department of Ophthalmology, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Korea. pbloadsky@naver.com
2Department of Ophthalmology, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul, Korea.
3Department of Bioengineering, Kyung Hee University School of Medicine, Seoul, Korea.
얼굴 전산화단층촬영 사진을 이용한 안구용적측정치와 안축장과의 상관관계
정준규1⋅박인기2⋅최삼진3⋅신재호1
경희대학교 의학전문대학원 강동경희대학교병원 안과학교실1, 경희대학교 의학전문대학원 경희의료원 안과학교실2, 경희대학교 의과대학 의공학교실3
Correspondence:  Jae-Ho Shin
Email: pbloadsky@naver.com
Received: 7 June 2018   • Revised: 27 August 2018   • Accepted: 20 February 2019
Abstract
PURPOSE
To measure the ocular volume from facial computed tomography (CT) scans using a semi-automatic computer program, and to analyze possible correlations between the axial length and ocular volume using regression analysis. METHODS: Forty eyes from 20 facial CT scans were used to measure the ocular volumes. The cross-sectional ocular areas were calculated using a semi-automatic program based on MATLAB r2009a (MathWorks, Inc., Natick, MA, USA), and the ocular volumes were calculated from serial cross-sectional areas. The axial lengths were measured by A-scan ultrasound. Statistical analysis including regression analysis was used to determine possible correlations between the ocular volumes and axial lengths. RESULTS: The mean ocular volumes measured in males and females were 7.16 ± 1.80 cm3 and 7.24 ± 3.38 cm3, respectively. The mean axial lengths measured in males and females were 23.47 ± 0.69 mm and 23.23 ± 1.64 mm, respectively. There were positive correlations using Pearson's correlation coefficient and the partial correlation coefficient adjusted by axial length. Using regression analysis, the following statistically significant equation was derived: (ocular volume [cm3] = 0.0056558 × axial length3 [mm3] − 0.1798106 × axial length2 [mm2] + 32.9008570 [p < 0.001, R2 = 0.384]). CONCLUSIONS: The ocular volume measurement tool in this study was noninvasive and very useful, without special equipment. Accurate estimation of ocular volumes by a statistical equation was feasible, and these findings may be helpful in further study of various ocular diseases and in predicting preoperative and postoperative ocular volumes.
Key Words: Axial length;Facial computed tomography;Ocular volume;Volume measurements


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