Objectives: To develop regression formulas for determining optimal Implantable Collamer Lens (ICL) size based on Anterion AS-OCT (anterior segment optical coherence tomography) biometric data.

Methods: In this retrospective interventional case series, 89 patients were included in the development phase and 57 patients were included in the (internal) validation phase. The study developed the SN (Salouti-Nowroozzadeh) formula, a multiple step-wise linear regression model, incorporating anterior chamber width (ACW), lens thickness, and anterior chamber volume (ACV) as predictors, to determine optimal ICL size (R-square=0.602). Another formula predicted ICL vault using a cubic non-linear model and the difference (Delta) between implanted and predicted ICL size as an explanatory variable (R-square = 0.599). Logistic regression determined the probability of achieving optimal vault or acceptable vault post-surgery. We also present findings from 73 consecutive prospective cases from a separate dataset, where the ICL was determined using the SN formula (external validation).

Results: Delta was the sole independent factor predicting postoperative ICL vault. A ∆ value of 0.3 mm corresponded to a 65% probability of achieving optimal vault, while a ∆ value of 0.15 resulted in an 80% probability. The SN formula matched with the STAAR nomogram in 69.9% of cases (79/113). Compared to the STAAR formula, the SN formula recommended a larger size in 10 eyes (8.8%) and a smaller size in 24 (21.2%). The 95% LoA for SN-predicted and actual ICL vault were (-339 to 518) µm. The mean absolute error was 191 µm (SD,139), and 72 eyes (63.7%) had a difference of ≤200 µm. The external validation analysis confirmed the primary findings.

Conclusions: The developed regression formula provided acceptable predictions for proper ICL sizing in our patients. However, its performance may vary across different populations or measurement devices. This study also highlights the need for smaller increments of ICL sizes to improve postoperative outcomes with any given formula.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41433-025-03741-1DOI Listing

Publication Analysis

Top Keywords

icl size
12
icl vault
12
icl
9
implantable collamer
8
collamer lens
8
patients included
8
formula
8
anterior chamber
8
predicted icl
8
probability achieving
8

Similar Publications

Objectives: To develop regression formulas for determining optimal Implantable Collamer Lens (ICL) size based on Anterion AS-OCT (anterior segment optical coherence tomography) biometric data.

Methods: In this retrospective interventional case series, 89 patients were included in the development phase and 57 patients were included in the (internal) validation phase. The study developed the SN (Salouti-Nowroozzadeh) formula, a multiple step-wise linear regression model, incorporating anterior chamber width (ACW), lens thickness, and anterior chamber volume (ACV) as predictors, to determine optimal ICL size (R-square=0.

View Article and Find Full Text PDF

Purpose: This study aimed to analyze the impact of long-term ICL implantation on lens density, focusing on the relationship between the anterior subcapsule, anterior lens density, and implantable collamer lenses (ICL) position after ICL V4c implantation.

Methods: This retrospective study included 145 eyes with ICL V4c implantation and average follow-up of 4.2 years (range: 3-8 years).

View Article and Find Full Text PDF

Characteristics of biological parameters and implantable collamer lens (ICL) size selection in moderate, high, and super-high myopia eyes.

BMC Ophthalmol

March 2025

Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute, School of Optometry, Tianjin Medical University Eye Hospital, No. 251, Fukang Road, Nankai District, Tianjin, 30384, China.

Objective: To analyze the characteristics of anterior segment biometric parameters in moderate, high, and super-high myopia eyes for ICL size selection.

Methods: A total of 246 eyes of 131 patients were included in this prospective observational cohort study. Preoperative axis length (AL), central keratometry (Kc), central corneal thickness (CCT), white-to-white (WTW), internal anterior chamber depth (ACD), trabecular iris angle (TIA), anterior chamber width (ACW), angle-to-angle distance (ATA), crystalline lens rise (CLR), lens thickness (LT), sulcus-to-sulcus (STS), ICL size, and postoperative vault at 1 month were recorded and compared among the different degrees of myopia groups.

View Article and Find Full Text PDF

Ciliary sulcus characteristics in patients with axial myopia using ultrasound biomicroscope.

Asia Pac J Ophthalmol (Phila)

February 2025

Department of Ophthalmology and Vision Science, Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, China; National Health Commission (NHC) Key Laboratory of Myopia (Fudan University), Shanghai, China; Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China. Electronic address:

Background: To assess the characteristics of the ciliary sulcus in patients with myopia with different axial lengths using ultrasound biomicroscopy (UBM). METHODS:: A total of 108 eyes from 54 patients were recruited between January and March 2024. Patients were matched for age, cylinder and white-to-white (WTW) ratio, and further divided into a control axial length (AL) group (CON, AL < 26.

View Article and Find Full Text PDF

Purpose: The main objective was to develop a prediction model based on machine learning to calculate the postoperative vault as well as the ideal implantable collamer lens (ICL) size, considering for the first time the implantation orientation in a Caucasian population.

Setting: Arruzafa Ophthalmological Hospital (Cordoba, Spain) and Barraquer Ophthalmology Center (Barcelona, Spain).

Design: Multicenter, randomized, retrospective study.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!