Comparison of 13 formulas for IOL power calculation with measurements from partial coherence interferometry

Giacomo Savini, Marco Di Maita, Kenneth J. Hoffer, Kenneth J. Hoffer, Kristian Næser, Domenico Schiano-Lomoriello, Aldo Vagge, Luca Di Cello, Carlo E. Traverso

Research output: Contribution to journalArticlepeer-review


Background/aims: To compare the accuracy of 13 formulas for intraocular lens (IOL) power calculation in cataract surgery. Methods: In this retrospective interventional case series, optical biometry measurements were entered into these formulas: Barrett Universal II (BUII) with and without anterior chamber depth (ACD) as a predictor, EVO 2.0 with and without ACD as a predictor, Haigis, Hoffer Q, Holladay 1, Holladay 2AL, Kane, Næser 2, Pearl-DGS, RBF 2.0, SRK/T, T2 and VRF. The mean prediction error (PE), median absolute error (MedAE), mean absolute error and percentage of eyes with a PE within ±0.25, ±0.50, ±0.75 and ±1.00 diopters (D) were calculated. Results: Two hundred consecutive eyes were enrolled. With all formulas, the mean PE was zero. The BUII with no ACD had the lowest standard deviation (±0.343 D), followed by the T2 (0.347 D), Kane (0.348 D), EVO 2.0 with no ACD (0.348 D) and BUII with ACD (0.353 D) formulas. The difference among the MedAEs of all formulas was statistically significant (p<0.0001); the lowest values were achieved with the Kane (0.214 D), RBF 2.0 (0.215 D), BUII with and without ACD (0.218 D) and SRK/T (0.223 D). A percentage ranging from 80% to 88.5% of eyes showed a PE within ±0.50 D and all formulas achieved more than 50% of eyes with a PE within ±0.25 D. Conclusion: All investigated formulas achieved good results; there was a tendency towards better outcomes with newer formulas. Traditional formulas can still be considered an accurate option.

Original languageEnglish
JournalBritish Journal of Ophthalmology
Publication statusE-pub ahead of print - Jun 10 2020


  • lens and zonules
  • optics and refraction

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems
  • Cellular and Molecular Neuroscience

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