Evidence map›Paper›PMID 40154565›Full record

ArticleBMJ open ophthalmology2025

Quantifying retinal size and shape distortion in different ultra-widefield imaging systems.

Binwei Huang, Chaoxin Zheng, Siyani Chen, Xulong Liao, Haoyu Chen

Abstract read
In one paragraph

Article in BMJ open ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Montage Error in Ultra-Widefield Imaging of Retinal Hemangioblastomas.Case reports in ophthalmological medicine · 2026
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Binwei HuangJoint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China.ORCID 0009-0007-2676-9394
Chaoxin ZhengJoint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China.ORCID 0009-0000-4651-6326
Siyani ChenJoint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China.ORCID 0009-0004-5621-6537
Xulong LiaoJoint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China.ORCID 0009-0003-5824-8420
Haoyu ChenJoint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China drchenhaoyu@gmail.com.ORCID 0000-0003-0676-4610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantitatively investigate the retinal size and shape distortion in different ultra-widefield (UWF) imaging systems. METHODS AND ANALYSIS: We imaged the posterior segments of model eyes using Daytona, Mirante, CLARUS 500, VG2001, BMizar and TRC-NW8. We measured the scale bars of each grid and the compactness of each ring to quantify the size and shape distortion. The relationship between the relative size with eccentricity and axial length was analysed. The size and shape distortion were compared among different UWF systems.

resultsThe size is positively associated with eccentricity (β=0.202-0.482; p<0.001) and negatively associated with axial length (β=-0.787 to -0.890; p<0.001) in all UWF systems. There is a significant difference in slopes across devices. The size distortion of Mirante is lower than the other UWF systems (p=0.0083-0.0472) except for TRC-NW8. Multivariate linear regression analysis found the adjusted R

conclusionQuantitative measurements identified different relationships between size distortion with axial length and eccentricity in different UWF systems, which can serve as a reference for correcting size distortion. Shape distortion only occurs in Daytona.

Indexed as

RetinaTomography, Optical CoherenceAxial Length, EyeHumansImagingRetina

Identifiers

PMID40154565
PMCPMC11956332

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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.