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AbstractP 195 Comparison of manual vs. semiautomatic analysis of the anterior segment with optical coherence tomography Viestenz A.1, Vogt S.1, Walter S.1, Viestenz A.1, Langenbucher A.2, Behrens-Baumann W.1
1Department of Ophthalmology, Otto-von-Guericke-University Magdeburg; 2Institute of Medical Physics, University Erlangen-Nuremberg Objective: The aim of this study was to compare two analysis procedures for the anterior segment biometry using the SL-OCT (slit-lamp mounted optical coherence tomograph).
Methods: Fifty eyes were examined by 3 ophthalmologists: complete ophthalmologic status, 3 horizontal and 3 vertical scans with the SL-OCT (Heidelberg Engineering), central anterior chamber depth (ACD), axial length (IOL-Master, Zeiss) and 5x central corneal thickness (AL-1000, Tomey). We analyzed the best centred SL-OCT-scan with the manual analysis software (EyelabGlobal) and with the digital semiautomatic software (HEYEX). We compared CCT, ACD, pupillary diameter (PD) and anterior chamber angle distance (ACAD) with the two analysis programs.
Results: Import of SL-OCT scans into the semiautomatic analysis program HEYEX was possible in 43 of 50 eyes. Comparable complete vertical scans were available in 30 eyes. Horizontal scans: Manual analysis correlated with semiautomatic analysis in CCT 581±51µm vs. 572±53 µm (r=0.903), ACD 2.89±0.74 mm vs. 2.95±0.73 mm (r=0.98), PD 5.22±2.12 mm vs. 5.15±1.93 mm (r=0.917) and ACAD 11.59±1.02 mm vs. 11.79±0.60 mm (r=0.47). However, manual analysis differed significantly from semiautomatic analysis in CCT and ACD (p<0.026). CCT measured with ultrasound pachymetry was 566±48 µm; ACD (IOL-Master) was 3.23±0.71 mm. Vertical scans: Manual and semiautomatic analysis correlated in CCT 578±65 µm vs. 573±63 µm (r=0.593), ACD 3.04±0.83 mm vs. 3.03±0.75 mm (r=0.92), PD 5.28±1.99 mm vs. 5.45±2.00 mm (r=0.899) and ACAD 11.75±0.66 mm vs. 11.82±0.60 mm (r=0.537).
Conclusions: A complete analysis was possible in all eyes with the EyelabGlobal-System in contrast to the HEYEX analysis software. The semiautomatic biometrical algorithm may reduce the analysis time in excellent and well centred scans to 10%.
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