Comparison of anterior corneal aberrometry, keratometry and pupil size with Scheimpflug tomography and ray tracing aberrometer in moderate and high refractive error
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.6.14Keywords:
HOA, PENTACAM, I Trace, Scheimpflug imaging, Ray Tracing, Corneal TopographyDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Background: Keratometry is essential for assessing corneal curvature, refractive power, and astigmatism. Advances in imaging, such as topography and tomography, have improved measurement accuracy for surgical planning and disease diagnosis. The Pentacam HR® uses Scheimpflug imaging for higher-order aberrations (HOAs), while iTrace® employs ray tracing for wavefront aberrometry. Aim: This study compared anterior corneal wavefront aberrations, keratometry, astigmatism axis, and pupil size measurements between Pentacam HR® and iTrace® in moderate and high refractive error. Methodology: A retrospective observational study at a tertiary care hospital in north India analysed 202 eyes from 107 healthy volunteers under mesopic conditions. Parameters included spherical aberration (Z40), vertical coma (Z3−1), horizontal coma (Z3+1), trefoil (Z3−3, Z3+3), keratometry (K1, K2), and pupil size. Results: The mean age was 26.73 ± 5.05 years. Significant differences were noted in keratometry: Pentacam HR® recorded higher K Flat (43.78 ± 1.70 D vs. 41.38 ± 3.64 D, p < 0.001) and K Steep (45.09 ± 1.84 D vs. 43.19 ± 3.49 D, p < 0.001). K Flat Axis differed (p = 0.013), while K Steep Axis did not (p = 0.419). Pupil size was larger with iTrace® (5.71 ± 0.91 mm vs. 2.90 ± 0.62 mm, p < 0.001). Coma (Z3−1), trefoil (Z3−3), and trefoil (Z3+3) showed significant differences (p < 0.001), while spherical aberration (Z40) (p = 0.828) and horizontal coma (Z3+1) (p = 0.200) did not. Bland-Altman plots showed poor agreement for axis measurements, moderate for keratometry, and better for HOAs. Conclusion: Significant differences in keratometry, pupil size, and HOAs indicate that Pentacam HR® and iTrace® measurements are not interchangeable. Clinicians should consider these discrepancies, especially in high refractive error cases.Abstract
How to Cite
Downloads
Similar Articles
- Ratnakaram Raghavendra, Saila K. A. Reddy, Exploring cosmic ray energy loss mechanisms: Insights from Bethe-Bloch, modified bethe-bloch, and inverse compton scattering equations , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Nandini S, Nagabushanam M, Nandeesh G S, Sundaresha M P, Pramodkumar S, Segmentation of Brain Tumor from Magnetic Resonance Imaging using Handcrafted Features with BOA-based Transformer , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Y. Mohammed Iqbal, M. Mohamed Surputheen, S. Peerbasha, Swarm intelligence-driven HC2NN model for optimized COVID-19 detection using lung imaging , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Anitha Chandrashekhar, Shivali Bembalgi, Santhosh K. Malebennur, Serum Zinc and Copper Levels in Obese Adolescents , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- R Prabhu, S Sathya, P Umaeswari, K Saranya, Lung cancer disease identification using hybrid models , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Hina Pathak, Basheer Khan, Geography and Topography of the Jaipur City in the Eighteenth Century , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Sonal R. Vasant, Synthesis and characterization of pure and magnesium ion doped CPPD nanoparticles , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Abhinav P. Yadav, Shubham Gudadhe, Sarika Kumari, Sadanand Maurya, Manikant Tripathi, Awadhesh K. Shukla, Assessment of heavy metal contamination in Trifolium alexandrium and Spinacia oleracea using ICP-MS: A comparative analysis across different districts in eastern Uttar Pradesh , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Pritee Rajaram Ray, Bijal Zaveri, Inclusive education for children with learning difficulties in Mauritius: An analytical study among select stakeholders , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Kritika Gautam, Anitha Arvind, Neha Kapur, Mukesh Kumar, The keratometry changes pre and post-applanation tonometry , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper

