Predicting ocular residual astigmatism using corneal and refractive parameters: A myopic eye study

Choul Yong Park, Jong Hyun Oh, Roy S. Chuck

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


Purpose: To investigate the nature of ocular residual astigmatism (ORA) in myopic patients and to identify indicators to predict a patient's ORA from corneal and ocular refractive data. Methods: In total, 356 myopic eyes from 178 patients (M:F=41:137) were examined using a Scheimpflug keratometer (Pentacam) and a wavefront analyzer (WaveScan). Vertex distance-adjusted total ocular astigmatism and corneal astigmatism [anterior corneal power (ACP) and true net power (TNP)] were used to calculate ORA, respectively. A power vector system (J0 and J45) was adopted for the astigmatism analysis. Results: The mean age of the study eyes was 27.6±5.0 years, and mean refractive spherical equivalent, sphere and cylinder was -4.94±1.90 diopter, -4.42±1.87 diopter, and -1.05±0.82, respectively. Corneal astigmatism measured by TNP was more representative of total ocular astigmatism than ACP (p<0.001). Both the J0 and J45 components of ORA showed significant negative correlation with corneal astigmatism measured by ACP and TNP (p<0.001). ORA (J0 and J45) was negatively correlated with total ocular spherical equivalent and positively correlated with total ocular astigmatism. Conclusions: We verified the general compensatory effect of corneal astigmatism by internal optics in myopic patients. TNP was closer to refractive astigmatism than ACP was. Total ocular spherical equivalent and total ocular astigmatism showed significant correlation with ORA. Therefore these can be possible indicators to predict ORA.

Original languageEnglish (US)
Pages (from-to)851-861
Number of pages11
JournalCurrent Eye Research
Issue number8
StatePublished - Aug 2013


  • Astigmatism
  • Cornea
  • Internal astigmatism
  • Ocular residual astigmatism
  • Scheimpflug imaging
  • Topography

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems
  • Cellular and Molecular Neuroscience


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