Abstract
When we see a refractive prediction error of the first eye, we may ask the question of how to use that information to improve the prediction for the second eye. Having ruled out any misreadings, recording errors, IOL constant, IOL power label error, or other obvious mistakes, we still see that the prediction error in the first eye correlates with that of the second eye. Based on correlation analysis, it is possible to empirically adjust for the error and improve the second eye prediction, irrespective of the formula used. The refraction error can be translated to the IOL power of the second eye. Another option is to use the IOL position of the first eye in a ray-tracing thick lens model of the second eye.
You have full access to this open access chapter, Download chapter PDF
Keywords
- Fellow eye IOL power calculation
- Empirical correction
- IOL position
- Refraction
- Ocular symmetry
- Regression
- Prediction error
- Axial length
- Keratometry
Fellow Eye Calculation
Many surgeons have asked the question: “When I see this prediction error of the first eye, how can I use this information for the calculation of the second eye?” For a meaningful discussion, it is important to distinguish between a statistical error and a refractive surprise. As is the case with any refractive surprise, it is important to rule out any measurement gross errors (not just statistical), recording errors, IOL constant, IOL power label error, or other obvious mistakes. Gross errors can usually be identified by a repeat biometry of the pseudophakia eye to ensure the input variables were valid.
Having ruled out any mistakes or obvious input errors, we are left with a statistical error that has to do with the residual errors of the system as was described in the error propagation model. The idea of a fellow eye correction stems from the high symmetry that we often see between the right and left eye. In a way, the fellow eye surgery can be regarded as a repeat operation of the first eye. The symmetry is also apparent from the fact that the prediction error in the first eye correlates with that of the second eye. What does it mean? This means that no formula is perfect and that some factor related to the person is not picked up by the formula.
Case Study
To illustrate the fellow eye correlations and possible corrections, a study was performed on a series of 654 IOL implantations in 327 patients with two types of IOL: Alcon SA60AT or Abbott Tecnis ZCB00 implanted in both eyes using small incision phacoemulsification and in-the-bag placement of the IOL. The cases were collected some years ago while working at the University Clinic of Aarhus, Denmark. Preoperatively, the patients had Lenstar biometry of all intraocular distances which was necessary for the Olsen formula. The refractive outcome was recorded 1–3 weeks after surgery, and at that time, the biometry was repeated including measurement of the postop IOL position (pseudophakic, postoperative ACD).
The IOL power calculation was performed using the SRK/T as well as with the Olsen formula and the prediction error (defined as the observed mines the predicted refraction) calculated for the right and left eye in each case.
A significant correlation and regression coefficient was found between the prediction error of the right and left eye for both the SRK/T formula and the Olsen formula (Figs. 72.1 and 72.2, respectively). The regression coefficients were 0.52 and 0.38 for the SRK/T and the Olsen formula, respectively (p < 0.001).
Based on the observed inter-eye correlation, the prediction of one eye could be corrected according to a regression formula
where Rxcor and Rxexp are the corrected and the uncorrected refractive prediction, respectively; Pxerr is the observed error of the first eye; and β is the formula specific regression coefficient. The method based on the refractive prediction error has fully described a previous publication [1].
A highly significant correlation between the IOL position of the right and left eye was found (Fig. 72.3). The mean difference (±SD) between the postoperative ACD of the left and right eye was found to be 0.0 ± 0.13 mm. This corresponds to 94.5% of the cases within ±0.25 mm difference. With the Olsen formula, you have the option to use the observed IOL position of the first eye and use this value as the predicted IOL position of the second eye. This was done as shown in Fig. 72.4. The regression coefficient R dropped from 0.38 to 0.17.
The improvement in prediction error (MAE) with fellow eye correction has been summarized in Fig. 72.5. The MAE dropped 14.2% with the SRK/T formula and 7.6% with the Olsen formula, respectively.
Comments
Several studies have now demonstrated a benefit of using the outcome of the first eye to improve the prediction of the second eye. Results vary according to the formula and the corresponding corrective term and hence also according to the improvement found after the fellow eye optimization.
Jabbour et al. [2] found no difference in adjusting for the full first-eye error in the second eye, whereas Covert et al. [3] found a statistically significant outcome by correcting 50% of the error from the first eye. The authors studied the Holladay and the SRK II formulas. This finding was largely supported by Aristodemou et al. [4] who likewise found a correction factor of 50% to be useful using the Hoffer Q, Holladay 1 and the SRK/T formulas.
Jivrajka et al. [5] demonstrated in a prospective study on 97 patients where the first eye prediction error exceeded 0.5 D (Haigis formula) that the refractive error of the second eye could be improved by modifying the IOL power to correct up to 50% of the error from the first eye. Turnbull and Barrett [6] found an improvement using a formula-specific correction factor ranging from 0.30 to 0.56 (Barrett Universal II 0.30; Hoffer Q 0.56; Holladay I 0.53; SRK/T 0.48) based on 169 patients.
In a previous study by Olsen46, it was shown that the correction factor was depending on the formula (formulas studied: Olsen, SRK/T and SRK II) so that the correction factor used to adjust the prediction was higher for the formula with the lowest accuracy. As it was also demonstrated in the present case series, an alternative method of optimization is to use the fellow eye pseudophakic ACD as the predicted ACD in the Olsen formula with a similar improvement. This observation underlines the fact that a large part of the error must be due to inaccurate ELP estimation. The fellow eye ACD method has several advantages: It is simple and directly aimed at the main source of error, namely, the ELP prediction. It is independent from the refractive prediction error, which may be influenced by biometric errors, abnormal K-readings, large inter-eye difference in axial length, staphylomas, or other asymmetries unrelated to the anatomy of the capsular bag holding the IOL. It can be used specifically to optimize those cases where a large prediction error is suspected, i.e., short eyes, post-LASIK, post-keratoplasty cases etc.
The fact that the IOL power calculation can be optimized based on the outcome of the fellow eye raises the question if this should be used in a wider scale. When we are comparing formula accuracy, we are often happy to see an improvement in MAE on the second decimal point. The fellow eye optimization has the potential to reduce the error considerably, depending on the formula (by 7–14% in the case study presented here). On the other hand, there is the question of cost. Waiting weeks to have the refraction of the first eye before doing the IOL power calculation and the surgery of the second eye adds substantial cost and time for the entire procedure. Moreover, many surgeons are now performing bilateral simultaneous cataract surgery to speed up recovery and reduce cost.
There is no question the future will demand accurate IOL power calculation in the first place.
References
Olsen T. Use of fellow eye data in the calculation of intraocular lens power for the second eye. Ophthalmology. 2011;118:1710–5.
Jabbour J, Irwig L, Macaskill P, Hennessy MP. Intraocular lens power in bilateral cataract surgery: whether adjusting for error of predicted refraction in the first eye improves prediction in the second eye. J Cataract Refract Surg. 2006;32:2091–7.
Covert DJ, Henry CR, Koenig SB. Intraocular lens power selection in the second eye of patients undergoing bilateral, sequential cataract extraction. Ophthalmology. 2010;117:49–54.
Aristodemou P, Cartwright NEK, Sparrow JM, Johnston RL. First eye prediction error improves second eye refractive outcome. Ophthalmology. 2011;118:1701–9.
Jivrajka RV, Jivrajka RV, Shammas MC, Shammas HJ. Improving the second-eye refractive error in patients undergoing bilateral sequential cataract surgery. Ophthalmology. 2012;119:1097–101.
Turnbull AMJ, Barrett GD. Using the first-eye prediction error in cataract surgery to refine the refractive outcome of the second eye. J Cataract Refract Surg. 2019;45:1239–45.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Copyright information
© 2024 The Author(s)
About this chapter
Cite this chapter
Olsen, T. (2024). Fellow Eye Calculation. In: Aramberri, J., Hoffer, K.J., Olsen, T., Savini, G., Shammas, H.J. (eds) Intraocular Lens Calculations. Essentials in Ophthalmology. Springer, Cham. https://doi.org/10.1007/978-3-031-50666-6_72
Download citation
DOI: https://doi.org/10.1007/978-3-031-50666-6_72
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-50665-9
Online ISBN: 978-3-031-50666-6
eBook Packages: MedicineMedicine (R0)