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Exploring a 3D printed cataract capsulorhexis training system using machine vision and virtual reality technologies.

Qi Huang1, Lanhui Yu1, XueJun Gu2

  • 1The Affiliated Eye Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Province Key Laboratory of Ophthalmology and Vision Sciences, Jiangxi clinical research center for ophthalmic disease, Jiangxi Provincial Key Laboratory of Vitreoretinal Diseases for Health, Nanchang, 330006, Jiangxi, China.

International Ophthalmology
|April 2, 2025
PubMed
Summary

Training with 3D-printed models significantly enhances cataract surgery skills, improving accuracy and consistency in capsulorhexis procedures. This novel approach leads to better intraocular lens (IOL) positioning and more regular capsulorhexis outcomes.

Keywords:
3D printingCapsulorhexisCataract surgeryMachine visionSurgical skills training

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Area of Science:

  • Ophthalmology
  • Surgical Education
  • Medical Simulation

Background:

  • A novel cataract capsulorhexis training system was developed using 3D printing and machine vision.
  • The system aims to enhance surgical skills for medical students and interns in a realistic training environment.

Purpose of the Study:

  • To evaluate the efficacy of a 3D-printed eye model training system for improving cataract surgery performance.
  • To compare the surgical precision and consistency of ophthalmologists trained with 3D-printed models versus those without specific training.

Main Methods:

  • A comparative study involved 36 junior ophthalmologists divided into a control group (Group A) and a training group (Group B).
  • Group B underwent a 2-month training regimen using 3D-printed models, performing 20 capsulorhexis procedures daily for 21 days.
  • Surgical performance was assessed using virtual reality (Eyesi) and animal eye models.

Main Results:

  • The trained group (Group B) demonstrated significantly lower intraocular lens (IOL) decentration and higher capsulorhexis circularity compared to the control group (Group A).
  • Similar improvements in accuracy and consistency were observed in both Eyesi and animal eye evaluations.
  • No significant difference in capsulorhexis diameter control was found between the groups in the Eyesi evaluation, though Group B showed a smaller diameter in animal eye assessments.

Conclusions:

  • Training with 3D-printed models significantly enhances surgical precision and capsulorhexis regularity in cataract surgery.
  • The system improves IOL positioning accuracy and consistency, crucial for successful surgical outcomes.
  • While effective for precision, the impact of 3D-printed models on capsulorhexis diameter control is minimal.