Haag-Streit White Paper Summary of clinical papers - 2 Pages

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Haag-Streit White Paper Summary of clinical papers Hill-RBF Method Summary This white paper showcases how the Hill-RBF Method works and how it performs against other IOL power calculation techniques. Why RBF Cataract surgery no longer only cures the cataract but becomes more and more a refractive procedure with the aim of spectacle independence. Still benchmark data shows that outcomes within +/- 0.5D are achieved only in 50 to 80% of the cases1, 2 3). Therefore there is room for 20% and more improvement Limitation of current formulas The proverbial Achilles-Heel of all current IOL calculation formulae is that they’re all based on an eye-model and therefore need to estimate the implant position (ELP) for the IOL calculation and this parameter is not available pre-operatively. Standard 2nd generation IOL calculation formulae like HofferQ, Holladay or SRK/T estimate the lens position based on axial length and K measurements, assuming that long eyes as well as steep corneas lead to a deep lens position and vice versa This assumption is the reason why all Of Dimension matrix of the human eye: axial length vs. anterior segment size ). these formulae provide weak performance with extreme eyes, because the vast majority of long as well as short eyes show normal anterior chamber dimensions and are not deep or shallow as assumed by the formulae. What is RBF and how does it perform The new Hill-RBF Method is a pure data driven IOL calculation approach and therefore it is free of the limitation of lens-position estimation. RBF stands for Radial Basis activation Function. It is driven by an advanced, self-validating method using pattern recognition based on artificial intelligence and sophisticated data interpolation. Starting with a large number of cases where the biometry and the outcomes are known, RBF is capable to find distinct patterns in the apparently random cloud of data-points. This technology is in wide use and allows law enforcement agencies to recognize faces on surveillance tapes, it is part of the finger print recognition with your mobile phone and it is used in the ECG analysis to identify potential stroke candidates. The current algorithm is based on outcome data of more than 12'000 eyes, with Lenstar biometry data and the Alcon SN60WL IOL implanted. It works best with this combination of biometry device and IOL but works also very good with biometry data from other optical biometry devices and with other biconvex IOL’s from -5 D to +30D. Outcome data of a worldwide multicentre retrospective clinical trial involving data from 13 surgeons located in 8 countries. Weighted mean shows that 95% of the patients reached +/- 0.5D of predicted refractive accuracy5). In Dr. Hill’s IOL constant optimisation data set, featuring more than 250’000 cases less than 1% of the surgeons reach 92% within +/- 0.5D. Result of the first prospective multicentre clinical trial including more than 440 cases from three study centres6). The graph shows the detail results for the most demanding subpopulation, the short eyes. The Hill-RBF Method outperformed statistically significant all 2nd and 3rd generation formulae as well as Holladay 2 and it performed slightly better than Olsen and the Barrett Universal II formula. Released: October 2017 / V2.0 Haag-Streit AG Koeniz, Switzerland

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Haag-Streit White Paper Summary of clinical papers In a first prospective trial as well as in several retrospective studies the Hill-RBF Method demonstrated its 5, 6) performance to be equivalent or better than latest generation IOL calculation formulae like Olsen or Barrett . It nd rd further outperformed all 2 and 3 generation formulae like Haigis, HofferQ, Holladay or SRK/T. In a retrospective multicenter trial throughout the world involving data from 13 surgeons from 8 countries; RBF did prove that it works independently of the patient population specific features. It is pure data driven and...

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