1000 Eyes Lens Biometry Study: Artificial Intelligence for Intraocular Lens Power Calculation

Last updated: October 3, 2023
Sponsor: Johannes Kepler University of Linz
Overall Status: Active - Recruiting

Phase

N/A

Condition

Eye Disorders/infections

Eye Disease

Vision Loss

Treatment

non contact measurement with the IOL Master 700

Clinical Study ID

NCT05779319
KUK-Opthalmology-013
  • Ages 21-110
  • All Genders

Study Summary

The main purpose of the study is to develop an AI approach to improve intraocular lens power calculations.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Pseudophakic (at least one eye): cataract surgery between 4 weeks and 24 months priorto recruitment
  • If both eyes would be suitable for the study only the right eye will be included, ifonly one eye is suitable for the study, this eye will be included
  • Pre-operative swept-source OCT biometry available (no ultrasound measurement for axialeye length)
  • Uncomplicated cataract surgery
  • Age 21 years and older

Exclusion

Exclusion Criteria:

  • Multifocal IOLs
  • Combined surgery (cataract plus glaucoma/vitreoretinal/corneal surgery)
  • Best corrected distance visual acuity below 0.5 Snellen
  • In case of pregnancy (pregnancy test will be taken preoperatively in women ofreproductive age)

Study Design

Total Participants: 1000
Treatment Group(s): 1
Primary Treatment: non contact measurement with the IOL Master 700
Phase:
Study Start date:
February 01, 2022
Estimated Completion Date:
September 30, 2025

Study Description

Cataract surgery is one of the most commonly performed surgeries worldwide and has a high postoperative patient satisfaction rate. Despite significant improvement in measurement methods and artificial lens power calculation formulas, miscalculations and subsequently refractive error still occur after cataract surgery.

Most current artificial lens calculation methods use regression formulas. The concept of artificial intelligence (AI) has only recently found use and only in a rudimentary way. Examples include the Hill-RBF calculator and the Ladas superformula, but at least the "superformula" does not use a true AI approach and the results are no better than those obtained with conventional methods.

The main purpose of the study is to develop an AI approach to improve intraocular lens power calculations. The data will be used for the following analysis:

  • To compare the new AI method with conventional and modern formula (main question)

  • To compare the refractive error for different eye lengths

  • To use a ray tracing method to quantify sources of error in patients with a refractive surprise of at least 1.0 diopter

  • To evaluate a novel concept of outlier testing using a modified nonparametric Walsh test

This study will be multi-center and partially prospective. Data from 1000 patients who have already had cataract surgery will be analyzed.

All patients will be invited for a visit to the recruitment clinic and the measurements will be performed.

Connect with a study center

  • Kepler University Klinik Departement of Opthalmology

    Linz, Upperaustria 4020
    Austria

    Active - Recruiting

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