A simulation-based comparative study of glaucoma filtration surgeries using computational fluid dynamics.

Area of Science:

• Ophthalmology
• Biomedical Engineering
• Computational Science

Background:

• Glaucoma surgical treatment presents challenges due to numerous evolving techniques.
• Evaluating these techniques often relies on expensive and time-consuming clinical trials.
• Computational Fluid Dynamics (CFD) offers a potential alternative for virtual surgical assessment.

Purpose of the Study:

• To utilize CFD to virtually assess intraocular pressure (IOP) outcomes of different glaucoma surgical procedures.
• To compare the efficacy of trabeculectomy, nonpenetrating deep sclerectomy (NPDS), and modified NPDS (mNPDS) using a 3D eye model.
• To explore CFD's potential in guiding glaucoma surgical decisions and innovations.

Main Methods:

• Development of a 3D computational model of the anterior eye segment.
• Simulation of fluid dynamics and IOP effects for trabeculectomy, NPDS, and mNPDS.
• Direct comparison of surgical outcomes based on simulated postoperative IOP.

Main Results:

• NPDS alone was less effective than trabeculectomy, resulting in higher postoperative IOP (23.4 vs. 7 mmHg).
• mNPDS demonstrated comparable IOP reduction to trabeculectomy (6.98 vs. 7 mmHg).
• Trabeculectomy showed low corneal wall flows, potentially linked to its safety profile compared to NPDS.

Conclusions:

• CFD is a valuable tool for virtually evaluating glaucoma surgical procedures and predicting IOP outcomes.
• Modified nonpenetrating deep sclerectomy (mNPDS) shows promise for effective IOP reduction.
• CFD can complement clinical trials, aiding surgical decision-making and driving innovation in glaucoma treatment.