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Comparison of the accuracy of 9 intraocular lens power calculation formulas using partial coherence interferometry

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Purpose : To compare the accuracy of 9 intraocular lens (IOL) power calculation formulas (SRK/T, Hoffer Q, Holladay 1, Haigis, Barrett Universal II, Kane, EVO 2.0, Ladas Super formula and… Click to show full abstract

Purpose : To compare the accuracy of 9 intraocular lens (IOL) power calculation formulas (SRK/T, Hoffer Q, Holladay 1, Haigis, Barrett Universal II, Kane, EVO 2.0, Ladas Super formula and Hill-RBF 3.0) using partial coherence interferometry (PCI). Setting : Beirut Eye Specialist Hospital, Beirut, Lebanon Design : Retrospective case study Methods : Data from patients having uncomplicated cataract surgery with the insertion of 1 of 3 IOL types were included. All preoperative biometric measurements were performed using PCI. Prediction errors (PE) were deduced from refractive outcomes evaluated 3 months after surgery. The mean prediction error (ME), mean absolute prediction error (MAE), median absolute prediction error (MedAE), and standard deviation of prediction error (SD) were calculated, as well as the percentage of eyes with a PE within +/- 0.25, 0.50, 0.75 and 1.00D for each formula. Results : Included in the study were 126 eyes of 126 patients. Kane achieved the lowest MAE and SD across the entire sample as well as the highest percentage of PE within +/-0.50D, and was proven to be more accurate than Haigis and Hoffer Q (P <.001). For an axial length of more than 26.0 mm, EVO 2.0 and Barrett obtained the lowest MAEs, with EVO 2.0 and Kane showing a higher percentage of prediction at +/-0.50D compared to old generation formulas except for SRK/T (P =.04). Conclusion : All investigated formulas achieved good results; there was a tendency towards better outcomes with new generation formulas, especially in atypical eyes.

Keywords: intraocular lens; power calculation; calculation formulas; prediction; accuracy intraocular; using partial

Journal Title: Journal francais d'ophtalmologie
Year Published: 2022

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