Interdevice Agreement of Keratometry, Astigmatism Vectors, and Ocular Biometry in Cataract Candidates: SS-OCT (Argos) vs. OLCI (Aladdin) vs. Scheimpflug–Placido (Sirius)

<b>Background and Objectives:</b> Accurate anterior segment measurements are central to intraocular lens (IOL) power calculation and toric planning, yet different optical platforms may yield non-interchangeable values. This study compared keratometry, astigmatism metrics, and ocular biometry obtained with a swept-source OCT biometer (Argos), an optical low-coherence interferometry biometer (Aladdin), and a combined Scheimpflug-Placido topographer (Schwind Sirius). <b>Methods:</b> This is a retrospective observational study (January 2022-June 2024) including eyes undergoing uncomplicated cataract surgery. All eyes were measured in a single session by one examiner. Outcomes included K1, K2, cylinder, astigmatism axis (degrees; device-reported corneal cylinder axis, labeled "Powerful Angle" in the Sirius export), vector components (J0 and J45), and-where available-lens thickness (LT), axial length (AL), anterior chamber depth (ACD), white-to-white (WTW) distance, and central corneal thickness (CCT). Friedman tests assessed 3-device differences, and pairwise comparisons were evaluated using Wilcoxon signed-rank tests (paired data). <b>Results:</b> A total of 170 eyes (102 patients) were analyzed (mean age: 69.12 ± 10.26 years). Significant inter-device differences were detected for K1 (Argos: 43.45 ± 1.64 D; Aladdin: 43.41 ± 1.70 D; overall: <i>p</i> < 0.001; Argos vs. Aladdin: <i>p</i> = 0.019), K2 (Argos: 44.45 ± 1.67 D; Aladdin: 44.34 ± 1.71 D; overall and pairwise: <i>p</i> < 0.001), and cylinder (Argos: -0.83 ± 0.74 D, Aladdin: -0.77 ± 0.76 D; Sirius: -0.68 ± 0.75 D; overall: <i>p</i> < 0.001). "Powerful Angle" differed across devices (<i>p</i> = 0.003) but not between Argos and Aladdin (<i>p</i> = 0.512). J0 (<i>p</i> = 0.277) and J45 (<i>p</i> = 0.084) did not differ significantly. Argos reported higher ACD (3.19 ± 0.42 vs. 3.13 ± 0.41 mm, <i>p</i> < 0.001) and WTW (11.95 ± 0.42 vs. 11.65 ± 0.39 mm, <i>p</i> < 0.001) values than Aladdin. CCT was similar between Aladdin and Sirius (540.27 ± 33.44 vs. 540.47 ± 33.78 µm, <i>p</i> = 0.169). <b>Conclusions:</b> Several keratometric and biometric parameters differed significantly by device, indicating limited interchangeability-particularly relevant for toric and premium IOL planning-while vector astigmatism components and CCT showed better agreement.

Authors

Institutions

Publication Details

Journal
Bioengineering
Published
2026-03-03
DOI
https://doi.org/10.3390/bioengineering13030296
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

Interdevice Agreement of Keratometry, Astigmatism Vectors, and Ocular Biometry in Cataract Candidates: SS-OCT (Argos) vs. OLCI (Aladdin) vs. Scheimpflug–Placido (Sirius)

Leila Al Barri, Nadina Mercea, Cosmin Rosca, Servet Yasar et al.
Bioengineering
Ophthalmology and Visual Impairment Studies
article

Interdevice Agreement of Keratometry, Astigmatism Vectors, and Ocular Biometry in Cataract Candidates: SS-OCT (Argos) vs. OLCI (Aladdin) vs. Scheimpflug–Placido (Sirius)

Leila Al Barri, Nadina Mercea, Cosmin Rosca, Servet Yasar, Tudor, Mihnea Munteanu, Horia T. Stanca
article en

Abstract

<b>Background and Objectives:</b> Accurate anterior segment measurements are central to intraocular lens (IOL) power calculation and toric planning, yet different optical platforms may yield non-interchangeable values. This study compared keratometry, astigmatism metrics, and ocular biometry obtained with a swept-source OCT biometer (Argos), an optical low-coherence interferometry biometer (Aladdin), and a combined Scheimpflug-Placido topographer (Schwind Sirius). <b>Methods:</b> This is a retrospective observational study (January 2022-June 2024) including eyes undergoing uncomplicated cataract surgery. All eyes were measured in a single session by one examiner. Outcomes included K1, K2, cylinder, astigmatism axis (degrees; device-reported corneal cylinder axis, labeled "Powerful Angle" in the Sirius export), vector components (J0 and J45), and-where available-lens thickness (LT), axial length (AL), anterior chamber depth (ACD), white-to-white (WTW) distance, and central corneal thickness (CCT). Friedman tests assessed 3-device differences, and pairwise comparisons were evaluated using Wilcoxon signed-rank tests (paired data). <b>Results:</b> A total of 170 eyes (102 patients) were analyzed (mean age: 69.12 ± 10.26 years). Significant inter-device differences were detected for K1 (Argos: 43.45 ± 1.64 D; Aladdin: 43.41 ± 1.70 D; overall: <i>p</i> < 0.001; Argos vs. Aladdin: <i>p</i> = 0.019), K2 (Argos: 44.45 ± 1.67 D; Aladdin: 44.34 ± 1.71 D; overall and pairwise: <i>p</i> < 0.001), and cylinder (Argos: -0.83 ± 0.74 D, Aladdin: -0.77 ± 0.76 D; Sirius: -0.68 ± 0.75 D; overall: <i>p</i> < 0.001). "Powerful Angle" differed across devices (<i>p</i> = 0.003) but not between Argos and Aladdin (<i>p</i> = 0.512). J0 (<i>p</i> = 0.277) and J45 (<i>p</i> = 0.084) did not differ significantly. Argos reported higher ACD (3.19 ± 0.42 vs. 3.13 ± 0.41 mm, <i>p</i> < 0.001) and WTW (11.95 ± 0.42 vs. 11.65 ± 0.39 mm, <i>p</i> < 0.001) values than Aladdin. CCT was similar between Aladdin and Sirius (540.27 ± 33.44 vs. 540.47 ± 33.78 µm, <i>p</i> = 0.169). <b>Conclusions:</b> Several keratometric and biometric parameters differed significantly by device, indicating limited interchangeability-particularly relevant for toric and premium IOL planning-while vector astigmatism components and CCT showed better agreement.

BioengineeringVol. 13(3)
Carol Davila University of Medicine and Pharmacy (RO), Victor Babeș University of Medicine and Pharmacy Timișoara (RO), Spitalul Clinic CF Cluj-Napoca (RO)
Openalex Percentile: Top 36%
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.