Automated Comprehensive Analysis Of Preoperative Biometric Parameters In Cataract Patients: A Retrospective Study Of Over 6000 Eyes
Published 2025 - 43rd Congress of the ESCRS
Reference: FP29.09 | Type: Free paper | DOI: 10.82333/tvz5-f065
Authors: Tomas Jaeschke* 1 , Agustin Magnetto 2
1Segmento anterior,Instituto de la vision ,buenos aires ,Argentina;Segmento anterior,Hospital Oftalmologico Pedro lagleyze,buenos aires ,Argentina, 2Retina,Fundacion Zambrano,buenos aires ,Argentina;Segmento anterior,Instituto de la vision ,buenos aires ,Argentina
Purpose
Setting
Methods
We retrospectively analyzed the biometric data of 6,163 eyes from 3,118 cataract and CLE patients. Biometric measurements were performed with the IOL Master 700 (Carl Zeiss Meditec) and automatically exported using the “Data Analyzer” software (Carl Zeiss Meditec). Parameters included axial length, keratometry values (K and TK), anterior chamber depth, lens thickness, vitreous length, and corneal astigmatism. Age and gender distributions were also evaluated. Statistical analysis focused on the distribution of these biometric parameters and their alignment with published literature.
Results
The analysis of biometric data from 6,163 eyes revealed significant trends across the study cohort. The mean axial length (AL) was 23.7 mm and the majority of eyes (80.2%) fell within the range of 22.5 mm to 25.5 mm. Keratometry values (K) indicated an average corneal refractive power of 43.07 diopters closely aligning with previously published literature. The anterior chamber depth (ACD) averaged 3.19 mm with a standard deviation of 0.53 mm, while lens thickness (LT) demonstrated a mean value of 4.48 mm and a standard deviation of 0.87 mm.
Conclusions
This large-scale analysis provides critical insights into the biometric profiles of cataract patients in a mid-sized German city, reflecting both urban and rural population influences. Overall, the biometric parameters observed in this study demonstrated consistent distributions with established benchmarks, confirming the reliability of the measurement tools used.
The findings emphasize the opportunities of automated data processing in optimizing preoperative planning and improving surgical outcomes. The use of automated tools like the Data Analyzer offers significant potential for future large-scale evaluations and longitudinal studies correlating biometric data with postoperative results.