Influence Matrix for IOL Selection in Cataract Surgery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for cataract surgery planning and intraocular lens (IOL) selection in ophthalmic surgery are limited by the inability to accurately combine data from multiple measurement devices, leading to suboptimal refractive outcomes due to variations in eye position and measurement conditions, and do not effectively address high-order aberrations, resulting in less-than-ideal visual acuity for many patients.
Innovation Solution
The development of a system and method using an influence matrix to derive an effective treatment vector function that incorporates prior refractive corrections and surgeries, allowing for precise selection and placement of IOLs by correlating pre-treatment and post-treatment aberrations, and adjusting for various patient-specific factors to improve refractive corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple measurement devices are used to gather comprehensive eye data, then measurement completeness is improved, but measurement precision deteriorates due to variations in eye position and measurement conditions across different devices
Solution Approach 1:
The patent introduces an influence matrix as an intermediary computational model that mediates between measurements from different devices. The matrix captures the relationship between pre-treatment and post-treatment aberrations, allowing data from multiple sources to be integrated while accounting for device-specific variations and measurement conditions.
Solution Approach 2:
The patent transforms raw measurement data into standardized aberration parameters that can be compared across different devices. By representing eye aberrations in a consistent parameter space and using the influence matrix to relate pre- and post-treatment states, the system enables precise integration of heterogeneous measurement data.
2Device complexity
If traditional IOL selection methods are used, then device complexity is kept simple, but manufacturing precision of refractive outcomes deteriorates due to inability to accurately combine data from multiple measurement devices
Solution Approach 1:
The patent implements a feedback mechanism where the influence matrix is derived from actual surgical outcomes (post-treatment measurements) and used to improve future IOL selections. The system learns from previous treatments and adjusts predictions, creating a closed-loop process that continuously improves refractive outcomes while maintaining a relatively simple selection framework.
Solution Approach 2:
The patent performs preliminary computation of the influence matrix using historical data before actual IOL selection. This pre-computed model captures complex relationships between measurements and outcomes, allowing the actual selection process to remain simple while benefiting from sophisticated preliminary analysis.
3Ease of operation
If prior refractive corrections are not incorporated into cataract surgery planning, then ease of operation is maintained, but reliability of surgical outcomes deteriorates due to unaccounted high-order aberrations
Solution Approach 1:
The patent performs preliminary analysis of prior refractive corrections by incorporating pre-treatment aberration data into the influence matrix derivation. This historical information is processed in advance to improve predictions of post-cataract-surgery outcomes, allowing surgeons to account for high-order aberrations without complicating the actual surgical planning process.
Data Source
AI summary
Improved devices, systems, and methods for planning cataract surgery on an eye of a patient incorporate results of prior corrective surgeries into a planned cataract surgery of a particular patient by driving an effective surgery vector function based on data from the prior corrective surgeries. The exemplary effective surgery vector employs an influence matrix which may allow improved refractive corrections to be generated so as to increase the overall efficacy of a cataract surgery by specifying one or more parameters of an intraocular lens (IOL) to be implanted during the cataract surgery.