Navigating the Lens Labyrinth: A Practical Approach to Intraocular Lens Classification and Selection.

Area of Science:

• Ophthalmology
• Optics
• Biomedical Engineering

Background:

• The increasing variety of intraocular lenses (IOLs) designed to enhance depth-of-field (DOFi) complicates selection for cataract and refractive surgeons.
• Patient expectations for visual outcomes after IOL implantation are diverse and challenging to meet with the current range of lens technologies.

Purpose of the Study:

• To review and advocate for a functional classification framework for selecting depth-of-field intraocular lenses (IOLs).
• To guide surgeons in choosing IOLs based on predictable clinical outcomes and patient-specific visual needs.

Main Methods:

• This review synthesizes current literature on depth-of-field (DOFi) intraocular lenses (IOLs).
• It proposes a classification system based on functional outcomes, including spectacle independence and visual acuity.
• Additional factors like contrast sensitivity and dysphotopsia risk are highlighted for personalized IOL selection.

Main Results:

• A functional classification framework provides a systematic approach to IOL selection.
• Considering factors beyond basic visual acuity, such as contrast sensitivity and potential visual disturbances, is crucial.
• Tailoring IOL choice to individual patient needs improves satisfaction.

Conclusions:

• A structured, functional classification system simplifies the selection of depth-of-field (DOFi) intraocular lenses (IOLs).
• Integrating patient-specific visual requirements and potential side effects optimizes surgical outcomes and patient satisfaction.
• This approach empowers surgeons to make more informed IOL choices, leading to better patient-centered results.