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A new macular parameter, ganglion cell complex surface abnormality ratio (GCC SAR), shows promise in detecting glaucoma. GCC SAR better diagnoses perimetric glaucoma than standard spectral domain optical coherence tomography (SDOCT) parameters.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Glaucoma Detection

Background:

  • Spectral domain optical coherence tomography (SDOCT) has renewed interest in macular imaging for glaucoma detection.
  • Current SDOCT macular parameters primarily measure thickness, not the extent of thinning.
  • A novel parameter, ganglion cell complex surface abnormality ratio (GCC SAR), quantifies the surface area of macular thinning.

Purpose of the Study:

  • To evaluate the diagnostic capability of GCC SAR in identifying perimetric and preperimetric glaucoma.
  • To compare the performance of GCC SAR against standard SDOCT parameters.

Main Methods:

  • Retrospective analysis of GCC imaging data from 68 eyes with perimetric glaucoma, 62 with preperimetric glaucoma, and 165 controls.
  • GCC SAR calculated as the ratio of abnormal to total area on the GCC significance map.
  • Diagnostic performance assessed using area under receiver operating characteristic curves (AUC) and sensitivity at fixed specificities.

Main Results:

  • GCC SAR demonstrated statistically significant superior AUC (0.91) compared to GCC average thickness (0.86) and GCC global loss volume (0.88) in differentiating perimetric glaucoma from controls.
  • For preperimetric glaucoma, GCC SAR's AUC (0.72) was comparable to standard parameters (GCC average thickness 0.70, GLV 0.72).
  • Sensitivities of GCC SAR were comparable to standard parameters for both perimetric and preperimetric glaucoma detection.

Conclusions:

  • GCC SAR exhibits enhanced diagnostic ability for perimetric glaucoma compared to standard SDOCT global GCC parameters.
  • The diagnostic performance of GCC SAR is similar to standard SDOCT parameters for preperimetric glaucoma detection.