The DOI matches its Crossref record.
Videokeratographic Indices to Aid in Screening for Keratoconus
Abstract
ABSTRACT PURPOSE: To design a computer software program with quantitative indices to aid in videokeratographic screening for keratoconus. METHODS: A computer software program was designed to calculate three indices quantifying the keratoconus phenotype from videokeratographics generated by the Topographic Modeling System: Central K (central steepening); I-S values (reflecting inferior-superior dioptric asymmetry); and SRAX (relative skewing of the steepest radial axes above and below the horizontal meridian). One hundred ninety-five normal and 40 keratoconus patients who had not previously worn contact lenses were analyzed with the software. These 235 patients were then studied with combinations of indices to determine how best to distinguish keratoconus from normals by videokeratographic. RESULTS: Central K greater than 47.20 diopters (D) and I-S value greater than 1.20 D detected 39 of 40 (98%) keratoconus patients, with 10 of 195 (5%) normals identified as keratoconus. By adding the SRAX index of greater than 21° to these indices, 39 of 40 (98%) keratoconus patients were identified, but only 1 of 195 (0.5%) normals was identified as keratoconus. CONCLUSIONS: This new index, which quantifies irregular astigmatism in keratoconus, increases the specificity of previously reported quantitative descriptors of keratoconus without decreasing their sensitivity. True sensitivity and specificity of these indices for identifying keratoconus must be verified on a separate patient population. [J Refract Surg. 1995;11:371-379.]
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Rabinowitz, Y. S. (1998) · Survey of Ophthalmology · doi:10.1016/s0039-6257(97)00119-7 · Cited by 2,744
Self-citationGenetic epidemiological study of keratoconus: Evidence for major gene determination
Wang, Y., Rabinowitz, Y. S., Rotter, J. I., & Yang, H. (2000) · American Journal of Medical Genetics · doi:10.1002/1096-8628(20000828)93:5<403::aid-ajmg11>3.0.co;2-a · Cited by 278
Self-citationBalasubramanian, S. A., Pye, D. C., & Willcox, M. D. (2013) · Clinical and Experimental Optometry · doi:10.1111/cxo.12038 · Cited by 259
Automated Decision Tree Classification of Corneal Shape
Twa, M. D., Parthasarathy, S., Roberts, C., Mahmoud, A. M., Raasch, T. W., & Bullimore, M. A. (2005) · Optometry and Vision Science · doi:10.1097/01.opx.0000192350.01045.6f · Cited by 108
Metadata
- Authors
- Rabinowitz, Y. S.
- Venue
- Journal of Refractive Surgery
- Publisher
- SLACK, Inc.
- Published
- 1995-09
- Volume
- 11
- Issue
- 5
- Pages
- 371-406
- ISSN
- 1042-962X (ISSN-L)
- 1081-597X
- OpenAlex
- W92324959
- Cited by
- 309
- References
- 0
- FWCI
- 2.47
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Videokeratographic Indices to Aid in Screening for Keratoconus. https://app.cochat.ai/papers/10.3928/1081-597x-19950901-14
- The paper
- Rabinowitz, Y. S. (1995). Videokeratographic Indices to Aid in Screening for Keratoconus. Journal of Refractive Surgery. https://doi.org/10.3928/1081-597x-19950901-14
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.