ORIGINAL RESEARCH article
Front. Med.
Sec. Ophthalmology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1604224
Utilizing SS-OCT and 3D parametric modelling to enhance IOL position prediction in cataract patients with long axial length
Provisionally accepted- Ophthalmology, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, China, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Purpose: To investigate the biological characteristics of the lens and explore the factors influencing the postoperative position of intraocular lens (IOL) using swept-source optical coherence tomography (SS-OCT) in cataract patients with long axial length (AL).Methods: This retrospective study enrolled 110 cataract patients who underwent uneventful cataract surgeries. The preoperative and postoperative biometric parameters were obtained using IOLMaster 700. The average lens density (ALD) was analyzed using Fiji ImageJ. The biological characteristics of cataracts were analyzed using 3-dimension (3D) parametric modelling software Pro/Engineer Wildfire 5.0.The lens equator position (LEP) showed positive correlation with the preoperative anterior chamber depth (ACD), LED (lens equatorial diameter) and LV (lens vaulting) . The postoperative position of the IOL showed positive correlation with the preoperative ACD and LEP (r = 0.432, P < .05; r = 0.657, P < .05). The LEP showed a higher correlation with the postoperative position of the IOL as compared with preoperative ACD (P < .05). The LEP displayed the highest correlation with the postoperative position of the IOL (r = 0.686, P < .05) in the subgroup of ultra-long eyes (AL ≥ 28.0 mm).The LEP based on the SS-OCT and 3D parametric modelling was the better predictor of postoperative IOL position compared with the preoperative ACD. This methodology provides a robust basis for accurately predicting the effective lens position in cataract patients with long AL.
Keywords: 3D parametric modelling in effective lens position prediction Effective lens position, Lens equator position, Intraocular lens, Biometric parameter, 3D modelling
Received: 01 Apr 2025; Accepted: 03 Jun 2025.
Copyright: © 2025 Li, Peng, Luo, Luo, Zhang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Wei Peng, Ophthalmology, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, China, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.