Utilizing SS-OCT and 3D parametric modeling to enhance IOL position prediction in cataract patients with long axial length.

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2025-06-27 eCollection Date: 2025-01-01 DOI:10.3389/fmed.2025.1604224
Chuang Li, Bin Luo, Xiaoling Luo, Liying Zhang, Qiang Li, Wei Peng
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Abstract

Purpose: This study aimed 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 three-dimension (3D) parametric modeling software, Pro/Engineer Wildfire 5.0.

Results: The lens equator position (LEP) showed positive correlation with the preoperative anterior chamber depth (ACD), lens equatorial diameter (LED), and lens vaulting (LV). The postoperative position of the IOL showed positive correlation with the preoperative ACD and LEP (r = 0.432, p < 0.05; r = 0.657, p < 0.05). The LEP demonstrated a higher correlation with the postoperative position of the IOL than with the preoperative ACD (p < 0.05). The LEP displayed the highest correlation with the postoperative position of the IOL (r = 0.686, p < 0.05) in the subgroup of ultra-long eyes (AL ≥ 28.0 mm).

Conclusion: The LEP, derived from the SS-OCT and 3D parametric modeling, was a better predictor of postoperative IOL position than the preoperative ACD. This methodology provides a robust basis for accurately predicting the effective lens position in cataract patients with long AL.

利用SS-OCT和三维参数化建模增强长眼轴长白内障患者人工晶状体位置预测。
目的:应用扫描源光学相干断层扫描(SS-OCT)技术研究长轴距白内障患者晶状体的生物学特性,探讨影响术后人工晶状体(IOL)位置的因素。方法:本回顾性研究纳入110例白内障患者。使用IOLMaster 700获取术前和术后生物特征参数。使用Fiji ImageJ分析平均透镜密度(ALD)。采用三维参数化建模软件Pro/Engineer Wildfire 5.0对白内障的生物学特性进行分析。结果:晶状体赤道位置(LEP)与术前前房深度(ACD)、晶状体赤道直径(LED)、晶状体拱度(LV)呈正相关。术后人工晶体的位置显示与术前ACD和地蜡正相关(r = 0.432,p r = 0.657,p  r = 0.686,p 结论:地蜡,来自SS-OCT和三维参数化建模,是一个更好的预测比术前术后人工晶体位置的澳洲牧牛犬。该方法为长人工晶状体白内障患者晶状体有效位置的准确预测提供了可靠的依据。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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