Repeatability and agreement of three different ocular biometers including single and dual Scheimpflug cameras

Even though very high repeatability and agreement for most of the measured variables was observed with all three devices, fixed differences indicate that measured values are not completely interchangeable between the devices.

Authors

Institutions

Publication Details

Journal
Clinical and Experimental Optometry
Published
2025-04-21
DOI
https://doi.org/10.1080/08164622.2025.2486688
Primary Topic
Ophthalmology and Visual Impairment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Repeatability and agreement of three different ocular biometers including single and dual Scheimpflug cameras

Klemens Paul Kaiser, Thomas Kohnen, Mehdi Shajari, Christoph Lwowski et al.
Clinical and Experimental Optometry
Ophthalmology and Visual Impairment Studies
article

Repeatability and agreement of three different ocular biometers including single and dual Scheimpflug cameras

Klemens Paul Kaiser, Thomas Kohnen, Mehdi Shajari, Christoph Lwowski, Kevin Ehrdorf
article en

Abstract

Even though very high repeatability and agreement for most of the measured variables was observed with all three devices, fixed differences indicate that measured values are not completely interchangeable between the devices.

Clinical and Experimental OptometryVol. 109(1)
Goethe University Frankfurt (DE), Goethe-Institute United Kingdom (GB)
Affordable and clean energy
Openalex Percentile: Top 88%
Ophthalmology and Visual Impairment Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.