TY - JOUR
T1 - Update on intraocular lens formulas and calculations
AU - Xia, Tina
AU - Martinez, Christine E.
AU - Tsai, Linda M.
N1 - Funding Information:
This work was supported by an unrestricted grant from Research To Prevent Blindness (Ny,NY) to the John F. Hardesty MD Department of Ophthlamology ad Visual Sciences at Washington University.
Publisher Copyright:
© 2020 Asia-Pacific Academy of Ophthalmology. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Investigators, scientists, and physicians continue to develop new methods of intraocular lens (IOL) calculation to improve the refractive accuracy after cataract surgery. To gain more accurate prediction of IOL power, vergence lens formulas have incorporated additional biometric variables, such as anterior chamber depth, lens thickness, white-to-white measurement, and even age in some algorithms. Newer formulas diverge from their classic regression and vergence-based predecessors and increasingly utilize techniques such as exact ray-tracing data, more modern regression models, and artificial intelligence. This review provides an update on recent literature comparing the commonly used third- and fourth-generation IOL formulas with newer generation formulas. Refractive outcomes with newer formulas are increasingly more and more accurate, so it is important for ophthalmologists to be aware of the various options for choosing IOL power. Historically, refractive outcomes have been especially unpredictable in patients with unusual biometry, corneal ectasia, a history of refractive surgery, and in pediatric patients. Refractive outcomes in these patient populations are improving. Improved biometry technology is also allowing for improved refractive outcomes and surgery planning convenience with the availability of newer formulas on various biometry platforms. It is crucial for surgeons to understand and utilize the most accurate formulas for their patients to provide the highest quality of care.
AB - Investigators, scientists, and physicians continue to develop new methods of intraocular lens (IOL) calculation to improve the refractive accuracy after cataract surgery. To gain more accurate prediction of IOL power, vergence lens formulas have incorporated additional biometric variables, such as anterior chamber depth, lens thickness, white-to-white measurement, and even age in some algorithms. Newer formulas diverge from their classic regression and vergence-based predecessors and increasingly utilize techniques such as exact ray-tracing data, more modern regression models, and artificial intelligence. This review provides an update on recent literature comparing the commonly used third- and fourth-generation IOL formulas with newer generation formulas. Refractive outcomes with newer formulas are increasingly more and more accurate, so it is important for ophthalmologists to be aware of the various options for choosing IOL power. Historically, refractive outcomes have been especially unpredictable in patients with unusual biometry, corneal ectasia, a history of refractive surgery, and in pediatric patients. Refractive outcomes in these patient populations are improving. Improved biometry technology is also allowing for improved refractive outcomes and surgery planning convenience with the availability of newer formulas on various biometry platforms. It is crucial for surgeons to understand and utilize the most accurate formulas for their patients to provide the highest quality of care.
KW - artificial intelligence
KW - biometry
KW - ectasia
KW - ray tracing
KW - vergence formulas
UR - http://www.scopus.com/inward/record.url?scp=85086281887&partnerID=8YFLogxK
U2 - 10.1097/APO.0000000000000293
DO - 10.1097/APO.0000000000000293
M3 - Review article
C2 - 32501896
AN - SCOPUS:85086281887
SN - 2162-0989
VL - 9
SP - 186
EP - 193
JO - Asia-Pacific Journal of Ophthalmology
JF - Asia-Pacific Journal of Ophthalmology
IS - 3
ER -