Optimization of biometry for best refractive outcome in cataract surgery

Author:

Gupta Vinita1,Pal Himani2,Sawhney Saurabh3,Aggarwal Aashima4,Vanathi Murugesan5,Luthra Gaurav6

Affiliation:

1. Department of Ophthalmology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India

2. Department of Ophthalmology, Government Doon Medical College, Dehradun, Uttarakhand, India

3. Data Scientist, Department of Artificial Intelligence, Koverhoop Technologies, Canada

4. Aashima Aggarwal, Pannu Eye Hospital, Ropar, Punjab, India

5. Dr. R.P. Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India

6. Director and Consultant, Cataract and Refractive Services, Drishti Eye Institute, Dehradun, Uttarakhand, India

Abstract

High-precision biometry and accurate intraocular lens (IOL) power calculation have become essential components of cataract surgery. In clinical practice, IOL power calculation involves measuring parameters such as corneal power and axial length and then applying a power calculation formula. The importance of posterior corneal curvature in determining the true power of the cornea is increasingly being recognized, and newer investigative modalities that can estimate both the anterior and posterior corneal power are becoming the standard of care. Optical biometry, especially using swept-source biometers, with an accuracy of 0.01–0.02 mm, has become the state-of-the-art method in biometry. With the evolution of IOL formulas, the ultimate goal of achieving a given target refraction has also moved closer to accuracy. However, despite these technological efforts to standardize and calibrate methods of IOL power calculation, achieving a mean absolute error of zero for every patient undergoing cataract surgery may not be possible. This is due to inherent consistent bias and systematic errors in the measurement devices, IOL formulas, and the individual bias of the surgeon. Optimization and personalization of lens constants allow for the incorporation of these systematic errors as well as individual bias, thereby further improving IOL power prediction accuracy. Our review provides a comprehensive overview of parameters for accurate biometry, along with considerations to enhance IOL power prediction accuracy through optimization and personalization. We conducted a detailed search in PubMed and Google Scholar by using a combination of MeSH terms and specific keywords such as “ocular biometry,” “IOL power calculations,” “prediction accuracy of refractive outcome in cataract surgery,” “effective lens position,” “intraocular lens calculation formulas,” and “optimization of A-constants” to find relevant literature. We identified and analyzed 121 relevant articles, and their findings were included.

Publisher

Medknow

Subject

Ophthalmology

Reference111 articles.

1. Sources of error in intraocular lens power calculation;Norrby;J Cataract Refract Surg,2008

2. Optimising biometry for best outcomes in cataract surgery;Sheard;Eye,2014

3. Intraocular lens calculations in atypical eyes;Siddiqui;Indian J Ophthalmol,2017

4. Intraocular lens power calculations for the refractive surgeon;Holladay;Oper Tech Cataract Refract Surg,1998

5. Optimizing intraocular lens power calculations in eyes with axial lengths above 25.0 mm;Wang;J Cataract Refract Surg,2011

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Editorial: Innovations in cataract surgery;Frontiers in Medicine;2024-01-23

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