Purpose To evaluate the diagnostic performance of the contour‐line independent glaucoma probability score (GPS) classification obtained with the Heidelberg retina tomograph (HRT) 3 to differentiate between healthy and suspected glaucoma subjects (SG). Methods 62 normal eyes and 48 SG (normal standard automated perimetry, intraocular pressure higher than 21 mmHg, and retinal nerve fiber layer defects measured with Stratus optical coherence tomography or scanning laser polarimetry GDx VCC) were included. The receiver operating characteristic (ROC) curves were plotted for the GPS numerical values and compared with HRT3 stereometric parameters. Results GPS nasal and the FSM discriminant function had the best ability to differentiate between healthy and suspected glaucoma eyes. The areas under the ROC curve were 0.830 and 0.818, respectively. Sensitivity was 47.9% for GPS nasal at a fixed specificity of 90%. Conclusion GPS had a good diagnostic ability to discriminate between normal and SG. There are structural changes at early stages of the disease that can be quantified by means of GPS.

Purpose To determine the relationship between the indices of frequency‐doubling perimetry (FDT) and the optic disc parameters measured with the Heidelberg Retina Tomograph (HRT) 3 in glaucoma patients. Methods 74 eyes of 74 glaucoma patients were prospective and consecutively selected. All of them had intraocular pressure higher than 21 mmHg, and reproducible glaucomatous visual field loss in standard automated perimetry. FDTs were performed with a Humphrey FDT perimeter using the C‐20‐5 full threshold strategy. Participants underwent imaging of the optic disc with the HRT3. The Kolmogorov Smirnov test was applied to check the data were normally distributed. Pearson correlations were calculated between FDT indices (mean deviation and pattern standard deviation) and global stereometric HRT3 parameters. Results Mild to moderate significant correlations (p<0.05) were observed between the FDT indices and most HRT3 parameters. The strongest correlation was found between the mean deviation of FDT and FSM discriminant function of HRT3 (0.525). Pattern standard deviation had the strongest correlation with rim area (‐0.431). Conclusion Optic nerve head parameters measured with HRT3 showed reasonable agreement with FDT indices in glaucoma patients.

Purpose To compare the reproducibility of peripapillary retinal nerve fiber layer (RNFL) measurements of 2 optical coherence tomography (OCT) systems. Methods Fifty‐seven healthy individuals were prospectively selected. Only one eye was randomly chosen. All participants had intraocular pressure less than 21 mmHg and normal standard automated perimetry. Peripapillary RNFL thicknesses were measured with the Cirrus (Carl Zeiss Meditec, Dublin, Ca) and Spectralis (Heidelberg Engineering, Heidelberg, Germany) OCTs. The same operator acquired 3 consecutive series of scans. Left eye data were converted to a right eye format. Intraclass correlation coefficient (ICC), coefficient of variation (COV), and test‐retest variability were calculated for all parameters. Results Mean age was 58.3±11.3 years. The ICC was higher than 0.92 for all parameters of both OCTs. The COV ranged from 1.8% (average thickness, Spectralis) and 2.5% (average thickness, Cirrus) to 5,8% (nasal inferior segment, Spectralis) and 6.4% (2 o’clock segment, Cirrus). Test‐retest variability was lower than 12.2 µm for Cirrus parameters and lower than 10.9 µm for Spectralis parameters. Conclusion Both OCT systems had similar reproducibility of peripapillary RNFL measurements.

Purpose To determine the relationship between the main indices of standard automated perimetry (SAP) and the peripapillary retinal nerve fiber layer (RNFL) thickness measured with spectral‐domain optical coherence tomography (OCT) in patients with glaucomatous visual field defects. Methods 47 consecutive patients with open‐angle glaucoma were included in the study. Only one eye per subject was randomly selected. SAPs were performed with a Humphrey perimeter and the 24‐2 SITA standard algorithm. All of them underwent imaging with the Spectralis OCT (Heidelberg Engineering, Heidelberg, Germany). Left eye data were converted to a right eye format. The Kolmogorov Smirnov test was applied to check that the data were normally distributed. Pearson correlations were calculated between SAP indices (mean deviation, pattern standard deviation, and visual field index) and OCT parameters Results The average visual field mean deviation was ‐6.50 dB. Mild to moderate correlations were observed between SAP indices and most OCT parameters. The strongest correlations were found between the inferior quadrant thickness and pattern standard deviation (‐0.544). Conclusion The RNFL thicknesses measured with high‐resolution OCT showed moderate correlations with SAP indices in glaucoma patients. These results may help to understand the relationship between structural and functional changes in open‐angle glaucoma.

Purpose: To correlate the main indices of short‐wavelength automated perimetry (SWAP) with the peripapillary retinal nerve fiber layer thickness measured with the scanning laser polarimeter GDx VCC (Laser Diagnostic Technologies, Inc., San Diego, CA) in different diagnostic groups. Methods: 400 eyes were divided into 56 control eyes, 211 ocular hypertensive subjects, 67 glaucoma suspects and 66 glaucomatous patients, depending on intraocular pressure, optic nerve head morphologhy and standard automated perimetry (Humphrey 24‐2 SITA standard). Only one eye was randomly chosen for the study. SWAPs were performed with a Humphrey perimeter and the 24‐2 full threshold algorithm. Pearson correlations between SWAP indices (mean deviation ‐MD‐ and pattern standard deviation –PSD‐) and GDx VCC parameters (Nerve fiber indicator –NFI‐, TSNIT average, superior average, inferior average and TSNIT standard deviation) were calculated for each group of subjects. Results: Mild significant (p<0.05) correlations were observed between SWAP indices and most GDx parameters in the glaucoma suspect and the glaucomatous groups. Few GDx parameters showed mild correlations with the indices of SWAP in the normal group, but no significant correlations were found in the ocular hypertensive group. The TSNIT standard deviation exhibited the strongest correlation with the MD in the glaucoma group (0.33). Conclusions: Laser polarimetry parameters showed mild correlations with SWAP defects in glaucoma subjects.