白内障手术
功率(物理)
个性化
角膜
模式
计算机科学
人工晶状体度数计算
折射
验光服务
医学
眼科
光学
角膜曲率计
物理
社会科学
社会学
量子力学
万维网
作者
Vinita Gupta,Himani Pal,Saurabh Sawhney,Aashima Aggarwal,Murugesan Vanathi,Gaurav Luthra
标识
DOI:10.4103/ijo.ijo_1219_23
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI