Carmen Canovas1, Aixa Alarcon2, Robert Rosén2, Sanjeev Kasthurirangan2, Joseph J K Ma2, Douglas D Koch2, Patricia Piers2. 1. From Implant Research and Development (Canovas, Alarcon, Rosén, Piers), Abbott Medical Optics, Inc., Groningen BV, the Netherlands; Clinical Research (Kasthurirangan), Abbott Medical Optics, Inc., Santa Ana, California, and Cullen Eye Institute (Koch), Baylor College of Medicine, Houston, Texas, USA; Department of Ophthalmology and Vision Science (Ma), University of Toronto, Toronto, Ontario, Canada. Electronic address: carmen.canovas@abbott.com. 2. From Implant Research and Development (Canovas, Alarcon, Rosén, Piers), Abbott Medical Optics, Inc., Groningen BV, the Netherlands; Clinical Research (Kasthurirangan), Abbott Medical Optics, Inc., Santa Ana, California, and Cullen Eye Institute (Koch), Baylor College of Medicine, Houston, Texas, USA; Department of Ophthalmology and Vision Science (Ma), University of Toronto, Toronto, Ontario, Canada.
Abstract
PURPOSE: To assess the accuracy of toric intraocular lens (IOL) power calculations of a new algorithm that incorporates the effect of posterior corneal astigmatism (PCA). SETTING: Abbott Medical Optics, Inc., Groningen, the Netherlands. DESIGN: Retrospective case report. METHODS: In eyes implanted with toric IOLs, the exact vergence formula of the Tecnis toric calculator was used to predict refractive astigmatism from preoperative biometry, surgeon-estimated surgically induced astigmatism (SIA), and implanted IOL power, with and without including the new PCA algorithm. For each calculation method, the error in predicted refractive astigmatism was calculated as the vector difference between the prediction and the actual refraction. Calculations were also made using postoperative keratometry (K) values to eliminate the potential effect of incorrect SIA estimates. RESULTS: The study comprised 274 eyes. The PCA algorithm significantly reduced the centroid error in predicted refractive astigmatism (P < .001). With the PCA algorithm, the centroid error reduced from 0.50 @ 1 to 0.19 @ 3 when using preoperative K values and from 0.30 @ 0 to 0.02 @ 84 when using postoperative K values. Patients who had anterior corneal against-the-rule, with-the-rule, and oblique astigmatism had improvement with the PCA algorithm. In addition, the PCA algorithm reduced the median absolute error in all groups (P < .001). CONCLUSIONS: The use of the new PCA algorithm decreased the error in the prediction of residual refractive astigmatism in eyes implanted with toric IOLs. Therefore, the new PCA algorithm, in combination with an exact vergence IOL power calculation formula, led to an increased predictability of toric IOL power.
PURPOSE: To assess the accuracy of toric intraocular lens (IOL) power calculations of a new algorithm that incorporates the effect of posterior corneal astigmatism (PCA). SETTING: Abbott Medical Optics, Inc., Groningen, the Netherlands. DESIGN: Retrospective case report. METHODS: In eyes implanted with toric IOLs, the exact vergence formula of the Tecnis toric calculator was used to predict refractive astigmatism from preoperative biometry, surgeon-estimated surgically induced astigmatism (SIA), and implanted IOL power, with and without including the new PCA algorithm. For each calculation method, the error in predicted refractive astigmatism was calculated as the vector difference between the prediction and the actual refraction. Calculations were also made using postoperative keratometry (K) values to eliminate the potential effect of incorrect SIA estimates. RESULTS: The study comprised 274 eyes. The PCA algorithm significantly reduced the centroid error in predicted refractive astigmatism (P < .001). With the PCA algorithm, the centroid error reduced from 0.50 @ 1 to 0.19 @ 3 when using preoperative K values and from 0.30 @ 0 to 0.02 @ 84 when using postoperative K values. Patients who had anterior corneal against-the-rule, with-the-rule, and oblique astigmatism had improvement with the PCA algorithm. In addition, the PCA algorithm reduced the median absolute error in all groups (P < .001). CONCLUSIONS: The use of the new PCA algorithm decreased the error in the prediction of residual refractive astigmatism in eyes implanted with toric IOLs. Therefore, the new PCA algorithm, in combination with an exact vergence IOL power calculation formula, led to an increased predictability of toric IOL power.
Authors: Elaine M Tran; Kevin S Tang; Allison J Chen; Michael L Chen; David R Rivera; Jorge J Rivera; Paul B Greenberg Journal: Fed Pract Date: 2020-03