Estimation of Vitreous Chamber Volume Using Axial Length Measurements
Vitreous chamber volume (VCV) in humans can be accurately measured using magnetic resonance imaging (MRI) combined with ITK-SNAP analysis software. This study explores the relationship between VCV and axial length (AL). This study included 46 healthy individuals, encompassing a total of 92 eyes. Ind...
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Published in | The Journal of craniofacial surgery |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
17.02.2025
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Abstract | Vitreous chamber volume (VCV) in humans can be accurately measured using magnetic resonance imaging (MRI) combined with ITK-SNAP analysis software. This study explores the relationship between VCV and axial length (AL).
This study included 46 healthy individuals, encompassing a total of 92 eyes. Individuals with a history of eye conditions were excluded from the study. AL measurements were obtained using the Lenstar 900 (Haag-Streit, Switzerland). VCV was assessed through MRI using the Ingenia 3.0T system (Philips Medical Systems, Netherlands), with VCV analysis performed using ITK-SNAP analysis software version 3.8.0. The correlation between AL and VCV was evaluated using Pearson linear correlation coefficient, and a logistic regression model was employed to predict VCV.
The sample consisted of 92 eyes from 46 individuals, including 28 women and 18 men. The average VCV was 6193±1135.9 mm3 for women and 6324.3±886.7 mm3 for men. The mean AL for women was 24.70±2.78 mm, while for men it was 24.66±1.70 mm. A significant correlation between AL and VCV was observed (P<0.001).
VCV can be accurately estimated through AL measurements, offering a clinically relevant method for assessing VCV. |
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AbstractList | Vitreous chamber volume (VCV) in humans can be accurately measured using magnetic resonance imaging (MRI) combined with ITK-SNAP analysis software. This study explores the relationship between VCV and axial length (AL).
This study included 46 healthy individuals, encompassing a total of 92 eyes. Individuals with a history of eye conditions were excluded from the study. AL measurements were obtained using the Lenstar 900 (Haag-Streit, Switzerland). VCV was assessed through MRI using the Ingenia 3.0T system (Philips Medical Systems, Netherlands), with VCV analysis performed using ITK-SNAP analysis software version 3.8.0. The correlation between AL and VCV was evaluated using Pearson linear correlation coefficient, and a logistic regression model was employed to predict VCV.
The sample consisted of 92 eyes from 46 individuals, including 28 women and 18 men. The average VCV was 6193±1135.9 mm3 for women and 6324.3±886.7 mm3 for men. The mean AL for women was 24.70±2.78 mm, while for men it was 24.66±1.70 mm. A significant correlation between AL and VCV was observed (P<0.001).
VCV can be accurately estimated through AL measurements, offering a clinically relevant method for assessing VCV. |
Author | Huang, Guangqian Chen, Wanzhu Cai, Chi Guo, Maosheng Xiao, Yanling Zhang, Yan Wu, Yuyu Huang, Yihong |
Author_xml | – sequence: 1 givenname: Yihong surname: Huang fullname: Huang, Yihong organization: Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China and Engineering Research Centre of Assistive Technology for Visual Impairment, Fujian Province University – sequence: 2 givenname: Yan surname: Zhang fullname: Zhang, Yan organization: Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China and Engineering Research Centre of Assistive Technology for Visual Impairment, Fujian Province University – sequence: 3 givenname: Wanzhu surname: Chen fullname: Chen, Wanzhu organization: Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China and Engineering Research Centre of Assistive Technology for Visual Impairment, Fujian Province University – sequence: 4 givenname: Yanling surname: Xiao fullname: Xiao, Yanling organization: Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China and Engineering Research Centre of Assistive Technology for Visual Impairment, Fujian Province University – sequence: 5 givenname: Guangqian surname: Huang fullname: Huang, Guangqian organization: Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China and Engineering Research Centre of Assistive Technology for Visual Impairment, Fujian Province University – sequence: 6 givenname: Yuyu surname: Wu fullname: Wu, Yuyu organization: Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China and Engineering Research Centre of Assistive Technology for Visual Impairment, Fujian Province University – sequence: 7 givenname: Chi surname: Cai fullname: Cai, Chi organization: Department of Medical Iconography, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China – sequence: 8 givenname: Maosheng surname: Guo fullname: Guo, Maosheng organization: Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Department of Ophthalmology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China and Engineering Research Centre of Assistive Technology for Visual Impairment, Fujian Province University |
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