Comparison of Retinal Thickness Measurements between the Topcon Algorithm and a Graph-Based Algorithm in Normal and
Enting Gao1, Binyao Chen2, Jianling Yang2
1School of Electronic and Information Engineering, Soochow University, Suzhou, China; School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou, China.
Plos One
|June 5, 2015
Summary
A new graph-based algorithm shows strong agreement with the Topcon algorithm for measuring macular thickness in normal and glaucoma patients. This advanced method offers more detailed retinal layer segmentation.
Area of Science:
- Ophthalmology
- Medical Imaging
- Computational Biology
Background:
- Accurate measurement of macular thickness is crucial for diagnosing and monitoring glaucoma.
- Existing algorithms, like the Topcon built-in algorithm, provide valuable data but may have limitations in segmentation detail.
Purpose of the Study:
- To evaluate the correlation and agreement between a novel graph-based algorithm and the Topcon algorithm for macular thickness measurements.
- To compare the ability of both algorithms to measure total and regional macular thickness in normal and glaucoma subjects.
Main Methods:
- A study involving 228 normal eyes and 93 glaucomatous eyes using Topcon 3D-OCT 2000 scans.
- Measurement of macular thickness (total and regional) using both the Topcon algorithm and a 3D graph-based algorithm.
- Statistical analysis including correlation and agreement assessments between the two algorithms.
Main Results:
- The graph-based algorithm demonstrated strong correlation with the Topcon algorithm for macular GCC and regional thickness.
- Minor differences were observed between the algorithms, with 95% limits of agreement for macular GCC thickness under 28 μm.
- Specific limits of agreement for total and regional macular thickness were detailed for both normal and glaucoma cohorts.
Conclusions:
- The graph-based algorithm shows a high degree of agreement with the Topcon algorithm for macular thickness measurements.
- The novel algorithm offers enhanced retinal layer segmentation capabilities compared to the Topcon algorithm.
- This suggests the graph-based algorithm is a viable and potentially more detailed alternative for macular analysis in ophthalmology.
