The Development of a Thick-Lens Post–Myopic Laser Vision Correction Intraocular Lens Calculation Formula

Debellemanière, Guillaume; Mechleb, Nicole; Bernier, Timothée; Ancel, Jean-Marc; Gauvin, Mathieu; Wallerstein, Avi; Saad, Alain; Gatinel, Damien

doi:10.1016/j.ajo.2023.09.023

American Journal of Ophthalmology

2024

DOI: 10.1016/j.ajo.2023.09.023

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The Development of a Thick-Lens Post–Myopic Laser Vision Correction Intraocular Lens Calculation Formula

Guillaume Debellemanière,

Nicole Mechleb,

Timothée Bernier

et al.

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2024

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Cited by 5 publications

References 23 publications

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Artificial intelligence applications in cataract and refractive surgeries

Rampat,

Debellemanière,

Gatinel

et al. 2024

Current Opinion in Ophthalmology

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Purpose of review This review highlights the recent advancements in the applications of artificial intelligence within the field of cataract and refractive surgeries. Given the rapid evolution of artificial intelligence technologies, it is essential to provide an updated overview of the significant strides and emerging trends in this field. Recent findings Key themes include artificial intelligence-assisted diagnostics and intraoperative support, image analysis for anterior segment surgeries, development of artificial intelligence-based diagnostic scores and calculators for early disease detection and treatment planning, and integration of generative artificial intelligence for patient education and postoperative monitoring. Summary The impact of artificial intelligence on cataract and refractive surgeries is becoming increasingly evident through improved diagnostic accuracy, enhanced patient education, and streamlined clinical workflows. These advancements hold significant implications for clinical practice, promising more personalized patient care and facilitating early disease detection and intervention. Equally, the review also highlights the fact that only some of this work reaches the clinical stage, successful integration of which may benefit from our focus.

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Artificial intelligence applications in cataract and refractive surgeries

Rampat,

Debellemanière,

Gatinel

et al. 2024

Current Opinion in Ophthalmology

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Update on intraocular lens formulas

Raimundo,

Findl

2024

Current Opinion in Ophthalmology

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Purpose of review This review aims to discuss recent advances in intraocular lens (IOL) power calculation, including newly introduced formulas, classification updates, comparative analyses between formulas, and emerging trends in the field. Recent findings A significant number of modern IOL power calculation formulas have become available, incorporating both established and novel concepts such as artificial intelligence and ray tracing. A revised classification system has been introduced, reflecting the underlying principles of each formula. Recent comparative studies demonstrate the excellent refractive outcomes achievable with modern formulas. Emerging trends, such as the use of sum-of-segments axial length and the incorporation of measured posterior corneal data, hold promise for refining predictions in cases of extreme axial lengths and nonphysiological corneas, respectively. Advances in optimization and analytical methods also have the potential to further enhance refractive results. Summary The field of IOL power calculation is continually evolving through iterative improvements in formula design, driven by new technologies, advanced instrumentation, and innovative analytical approaches. These advancements enable excellent refractive outcomes, even in atypical eyes.

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Updating the no-history method in intraocular lens power calculation after myopic laser vision correction

Shammas,

Cooke,

Riaz

et al. 2024

J Cataract Refract Surg

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PURPOSE: To describe the Shammas-Cooke formula, an updated no-history (NH) formula for IOL calculation in eyes with prior myopic laser vision correction (M-LVC), and to compare the results to the Shammas PL, Haigis-L and Barrett True-K NH formulas. SETTING: Bascom Palmer Eye Institute (BPEI), The Lennar Foundation Medical Center, University of Miami, Miami, Florida, USA; Dean A. McGee Eye Institute (DMEI), University of Oklahoma, Oklahoma City, Oklahoma, USA; and private practice, Lynwood, California, USA and St Joseph, Michigan, USA. DESIGN: Retrospective observational study. METHODS: We analyzed two large series of cataractous eyes with prior M-LVC. The training set (BPEI series of 330 eyes) was used to derive the new corneal power conversion equation to be used in the novel Shammas-Cooke formula, and the testing set (165 eyes of 165 patients in the DMEI series) to compare the updated formula to three other M-LVC NH formulas on the ASCRS calculator: Shammas PL, Haigis-L and Barrett True-K NH. RESULTS: Mean prediction error was 0.09±0.56, -0.44±0.61, -0.47±0.59 and -0.18±0.56 D, and the mean absolute error was 0.43, 0.60, 0.61 and 0.45 D for the Shammas-Cooke, Shammas PL, Haigis-L and Barrett True-K NH. The percentage of eyes within ± 0.50 D was 66.7% versus 47.9%, 48.5% and 65.5%, respectively. CONCLUSION: The Shammas-Cooke formula performed better than the Shammas PL and Haigis-L (P<0.001 for both) and as well as the Barrett True-K NH formula (P=0.923).

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The Development of a Thick-Lens Post–Myopic Laser Vision Correction Intraocular Lens Calculation Formula

Cited by 5 publications

References 23 publications

Artificial intelligence applications in cataract and refractive surgeries

Artificial intelligence applications in cataract and refractive surgeries

Update on intraocular lens formulas

Updating the no-history method in intraocular lens power calculation after myopic laser vision correction

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