Evidence map›Paper›PMID 42240272›Full record

ArticleTranslational vision science & technology2026

Quantitative Correction for Peripheral Distortion in Ultra-Widefield Fundus Imaging Using a High-Precision 3D-Printed Model Eye.

Hyunmin Na, Jun Sung Park, Seung Woo Choi, Eun Kyoung Lee, Chang Ki Yoon, Kyu Hyung Park, Saram Lee, Un Chul Park

Abstract read
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Article in Translational vision science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hyunmin NaDepartment of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of South Korea.
Jun Sung ParkDepartment of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of South Korea.
Seung Woo ChoiDepartment of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of South Korea.
Eun Kyoung LeeDepartment of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of South Korea.
Chang Ki YoonDepartment of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of South Korea.
Kyu Hyung ParkDepartment of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of South Korea.
Saram LeeDepartment of Transdisciplinary Medicine, Seoul National University Hospital, Seoul, Republic of South Korea.
Un Chul ParkDepartment of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To establish a quantitative correction database for peripheral distortion in ultra-widefield (UWF) fundus imaging across varying axial lengths (AXLs), media, and posterior staphyloma variations. Methods: High-precision three-dimensional printed model eyes were imaged under air and balanced salt solution (BSS) conditions using two commercial UWF systems (Optos 200Tx and Clarus 700). The peripheral distortion index (PDI) was quantified at predefined peripheral angles to characterize relative enlargement compared with the central region. Continuous correction models were generated using least-squares regression. Three posterior staphyloma geometries (wide macular, narrow macular, and decentered) were constructed to calculate location-specific intrastaphyloma correction factors. Results: The PDI increased nonlinearly with the peripheral angle, exceeding 1.5 at 70° and approaching 2.0 at 90° across all configurations in which, eccentricity was the dominant and AXL a minor predictor (P < 0.001). Optos 200DTx produced greater distortion than Clarus 700 under both air (1.206 ± 0.202 vs. 1.163 ± 0.171; P < 0.001) and BSS conditions (1.173 ± 0.167 vs. 1.120 ± 0.138; P < 0.001). Distortion under air was slightly but significantly greater than under BSS in both systems (Optos 200DTx, P = 0.016; Clarus 700, P < 0.001). The analytical model accurately reproduced measured distortion (R² = 0.976-0.993). For posterior staphyloma models, final distortion within staphyloma was calculated by multiplying the baseline PDI by a mean correction factor of 0.904 to 0.984. Conclusions: This study provides a comprehensive quantitative correction database across a wide range of AXL values and continuous analytical models, enabling accurate distortion correction in diverse quantitative studies using UWF imaging. Translational Relevance: A validated, ready-to-use correction database enables accurate, reproducible quantification of peripheral retinal structures across devices, axial lengths, and ocular geometries in ultra-widefield imaging.

Indexed as

Fundus OculiModels, AnatomicPrinting, Three-DimensionalHumans

Identifiers

PMID42240272
PMCPMC13249105

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.