Evidence map›Paper›PMID 42818827›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Cross-Device Field-of-View Scale Differences in Clinical OCT Angiography: Phantom Calibration and Large-Scale Clinical Validation.

Yi Zhang, Zhaoyu Gong, Viet-Hoan Le, Bhagavath Sivathanu Kumar, Yaping Shi, Siyuan Wang, Yu Jiang, Christina Duong, Sharon Henry, Crystal S Yun and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Yi ZhangDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Zhaoyu GongDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Viet-Hoan LeDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Bhagavath Sivathanu KumarDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Yaping ShiDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Siyuan WangDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Yu JiangJohn F. Hardesty MD Department of Ophthalmology and Visual Sciences, Washington University in St. Louis, St Louis, Missouri, USA.
Christina DuongDepartment of Ophthalmology, University of Washington, Seattle, Washington, USA.
Sharon HenryDepartment of Ophthalmology, University of Washington, Seattle, Washington, USA.
Crystal S YunDepartment of Ophthalmology, University of Washington, Seattle, Washington, USA.
Yue WuDepartment of Ophthalmology, University of Washington, Seattle, Washington, USA.
Aaron Y LeeJohn F. Hardesty MD Department of Ophthalmology and Visual Sciences, Washington University in St. Louis, St Louis, Missouri, USA.
Cecilia S LeeJohn F. Hardesty MD Department of Ophthalmology and Visual Sciences, Washington University in St. Louis, St Louis, Missouri, USA.
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.

Funding

Aging eyes and aging brains in studying alzheimer's disease: Modern ophthalmic data collection in the adult changes in thought (ACT) studyR01AG060942 · NIA · WASHINGTON UNIVERSITY · PI Cecilia Sungmin Lee · 2019 to 2026
$39.4M
Bridge2AI:Salutogenesis Data Generation ProjectOT2OD032644 · OD · WASHINGTON UNIVERSITY · PI AYYAGARI, RADHA, BAHMANI, AMIR · 2022 to 2025
$32.7M
Ultra-wide field optical coherence tomography based angiography for imaging diabetic retinopathyR01EY028753 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2018 to 2021
$2.2M
NEI NIH HHS R01 EY028753NIA NIH HHS R01 AG060942NIH HHS OT2 OD032644
6 · The paper itself

Abstract

Purpose: Device-specific field-of-view (FOV) may affect quantitative optical coherence tomography angiography (OCTA) metrics. This study quantifies inter-device FOV scale differences across four commonly used clinical OCTA devices. Methods: Four devices were evaluated under a nominal 6×6 mm (or 20°×20°) scanning protocol: Zeiss Cirrus, Heidelberg Spectralis, Topcon Triton, and Topcon Maestro2. Device-specific spatial scale was assessed by (1) phantom calibration using a model eye with a 1×1 mm checkerboard, computing scale factors relative to Zeiss Cirrus; and (2) in vivo validation, registering same-eye, same-visit retinal images from the three devices to those of Zeiss Cirrus and extracting scale factors from the transformation matrices. Correlation between DICOM-implied FOV and spherical equivalent (SE) was assessed, where DICOM-implied FOV equals pixel-spacing × image-dimension. Results: Phantom measurements showed that Spectralis, Triton, and Maestro2 each captured a systematically smaller FOV than Cirrus, with geometric mean scale factors of 0.933, 0.954, and 0.967. The same pattern was observed across 801 eyes from 556 participants, giving geometric mean scale factors of 0.939, 0.943, and 0.960, agreeing with phantom estimates within 1.2%. DICOM-implied FOV was fixed at 6.000×6.000 mm for three devices but varied from 5.212×5.209 to 6.743×6.739 mm for Spectralis, correlating with SE (ρ = -0.635, P < 0.001). Conclusion: Systematic FOV discrepancies exist across clinical OCTA devices despite nominally identical protocols, and DICOM pixel-spacing should be interpreted with caution as a spatial measure. Translational Relevance: The reported device-specific scale factors could serve as magnification corrections for quantitative OCTA metrics, addressing the systematic spatial inter-device discrepancies.

Identifiers

PMID42818827
PMCPMC13622727

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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.