Abstract
Purpose:To analyze measurement precision using a contemporary tomography device (MS-39) in a large sample of patients with keratoconus.Setting:Moorfields Eye Hospital, London, United Kingdom.Design:Prospective and retrospective analyses of clinical data.Methods:For a range of key corneal tomographic indices, repeatability and reproducibility were compared in a prospective series of 1248 scans (n = 208 eyes) with 2 observers each acquiring 3 scans per eye. Measurement repeatability for single measures vs the mean of 3 consecutive measures was then compared using the same dataset. 95% repeatability coefficients were mapped at each unit interval through the measurement range in a retrospective analysis of 13 734 scans (n = 4578 eyes) to adapt progression thresholds to disease severity. Finally, keratoconus classification using alternate progression definitions was compared at 1 and 2-year time points.Results:For all corneal tomographic indices examined, no significant differences were found between MS-39 measurement repeatability and reproducibility (P >.05), repeatability was (average) 44% improved using the mean of 3 consecutive measures, and measurement repeatability deteriorated as keratoconus advanced. Progression was classified incorrectly in over 50% of cases at both time points where adaptive thresholds and repeated measures were not used.Conclusions:MS-39 measurement precision was not significantly influenced by the operator. Consecutive repeated measures and adaptive thresholds for observed change in key tomographic parameters based on device-specific precision limits tailored to disease severity are necessary for accurate classification of progression.
| Original language | English |
|---|---|
| Pages (from-to) | 790-798 |
| Number of pages | 9 |
| Journal | Journal of Cataract & Refractive Surgery |
| Volume | 51 |
| Issue number | 9 |
| Early online date | 2 Jul 2025 |
| DOIs | |
| Publication status | Published (in print/issue) - 30 Sept 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of ASCRS and ESCRS.
Funding
This study is supported by the ESCRS Digital Research Award, Frost Trust Charity, University College London Research Scholarship award, Medical Research Council/Fight for Sight Clinical Research Training Fellowship, Moorfields Eye Charity and National Institute for Health Research (NIHR) AI award.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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