Twenty-five eyes with moderate and 40 eyes with advanced glaucoma were enrolled in the current investigation. The mean age for the entire group was 56.53 ± 18.99 years and 16 (35.6%) patients were female. Baseline clinical and demographic data are shown in Table 1. Corrected distance visual acuity wasn’t different between eyes with moderate and advanced glaucoma (.25 ± .24 versus. .29 ± .18; p = .305). Eyes with advanced glaucoma higher vertical cup to disc ratio (VCDR) (.83 ± .10 versus. .89 ± .13; p < .035).
Table 1
Baseline demographic and clinical data in eyes with moderate and advanced glaucoma.
| Moderate Glaucoma | Severe Glaucoma | P |
Age (Years, Mean ± SD) | 56.52 ± 16.30 | 60.22 ± 17.90 | .404† |
Gender (Male/Female, %) | 13/12 (52.0/48.0) | 30/10 (75.0/25.0) | .057‡ |
CDVA (LogMAR, Mean ± SD) | .25 ± .24 | .29 ± .18 | .305¥ |
VCDR (Mean ± SD) | .83 ± .10 | .89 ± .13 | .035† |
IOP (mmHg, Mean ± SD) | 16.76 ± 7.70 | 17.07 ± 6.04 | .855† |
CCT (µm, Mean ± SD) | 532.76 ± 34.76 | 523.35 ± 31.19 | .262† |
Medications (Number, %) | 0 | 9 (36.0) | 0 | 7 (17.5) | |
1 | 0 (0.0) | 1 | 7 (17.5) |
2 | 5 (20.0) | 2 | 6 (15.0) |
3 | 8 (32.0) | 3 | 10 (25.0) |
4 | 3 (12.0) | 4 | 10 (25.0) |
†Based on independent-samples T Test. ‡Based on Pearson Chi-Square Test. ¥Based on Mann-Whitney U Test. CDVA, Corrected Distance Visual Acuity; LogMAR, Logarithm of Minimal Angle of Resolution; VCDR, Vertical Cup to Disc Ratio; IOP, Intraocular Pressure; CCT, Central Corneal Thickness |
A comparison between different structural and functional parameters is presented in Table 2. The eyes with severe glaucoma had worse functional status based on the comparison between MD and PSD in VF 10 − 2 and 24 − 2. Considering structural parameters related to cpRNFL and macula, all factors were lower in eyes suffering from advanced glaucoma expect average cpRNFL thickness (47.84 ± 44.25 versus. 37.57 ± 36.43; p = .115), cpRNFL thickness in the nasal quadrant (83.91 ± 25.84 versus. 69.48 ± 20.01; p = .480), superonasal (94.51 ± 21.37 versus. 79.07 ± 21.75; p = .360) nasal upper (84.66 ± 28.90 versus. 69.94 ± 21.81; p = .602) and nasal lower sectors (69.60 ± 14.44 versus. 61.78 ± 15.39; p = .066).
Table 2
comparison of different structural and functional parameters between moderate and severe glaucoma.
| Moderate Glaucoma | Severe Glaucoma | P |
SITA 24 − 2 MD (dB, Mean ± SD) | -8.73 ± 1.74 | -21.62 ± 6.19 | < .001† |
SITA 24 − 2 PSD (dB, Mean ± SD) | 7.39 ± 2.13 | 9.41 ± 2.95 | .004† |
SITA 10 − 2 MD (dB, Mean ± SD) | -5.81 ± 4.37 | -13.88 ± 8.86 | < .001† |
SITA 10 − 2 PSD (dB, Mean ± SD) | 5.02 ± 4.24 | 7.65 ± 3.81 | .012† |
Average cpRNFL (µm, Mean ± SD) | 47.84 ± 44.25 | 37.57 ± 36.43 | .115‡ |
Superior cpRNFL (µm, Mean ± SD) | 85.18 ± 11.86 | 70.23 ± 15.34 | < .001‡ |
Inferior cpRNFL (µm, Mean ± SD) | 85.51 ± 13.96 | 68.37 ± 14.48 | < .001‡ |
cpRNFL, Temporal Quadrant (µm, Mean ± SD) | 73.48 ± 11.35 | 62.34 ± 15.18 | < .001‡ |
cpRNFL, Superior Quadrant (µm, Mean ± SD) | 84.92 ± 21.57 | 67.19 ± 23.02 | .010‡ |
cpRNFL, Nasal Quadrant (µm, Mean ± SD) | 83.91 ± 25.84 | 69.48 ± 20.01 | .480‡ |
cpRNFL, Inferior Quadrant (µm, Mean ± SD) | 89.73 ± 22.62 | 71.19 ± 17.64 | < .001‡ |
cpRNFL, Temporal Upper (µm, Mean ± SD) | 82.041 ± 17.410 | 69.02 ± 19.38 | .001‡ |
cpRNFL, Superotemporal (µm, Mean ± SD) | 94.63 ± 26.49 | 71.13 ± 25.26 | .002‡ |
cpRNFL, Superonasal (µm, Mean ± SD) | 94.51 ± 21.37 | 79.07 ± 21.75 | .360‡ |
cpRNFL, Nasal Upper (µm, Mean ± SD) | 84.66 ± 28.90 | 69.94 ± 21.81 | .602‡ |
cpRNFL, Nasal Lower (µm, Mean ± SD) | 69.60 ± 14.44 | 61.78 ± 15.39 | .066‡ |
cpRNFL, Inferonasal (µm, Mean ± SD) | 82.57 ± 20.54 | 65.85 ± 16.42 | .001‡ |
cpRNFL, Inferotemporal (µm, Mean ± SD) | 101.70 ± 24.85 | 80.39 ± 22.46 | < .001‡ |
cpRNFL, Temporal Lower (µm, Mean ± SD) | 79.97 ± 22.23 | 65.37 ± 20.186 | .001‡ |
Average GCC (µm, Mean ± SD) | 84.06 ± 9.54 | 72.80 ± 12.01 | < .001‡ |
GCC, Superior (µm, Mean ± SD) | 86.23 ± 10.15 | 72.31 ± 10.98 | < .001‡ |
GCC, Inferior (µm, Mean ± SD) | 81.91 ± 11.85 | 73.33 ± 14.49 | .001‡ |
GCC, FLV (Mean ± SD) | 4.30 ± 3.51 | 8.11 ± 3.49 | < .001‡ |
GCC, GLV (Mean ± SD) | 12.74 ± 7.94 | 23.40 ± 10.55 | < .001‡ |
ONH | wiVD (%, Mean ± SD) | 48.77 ± 4.62 | 40.23 ± 5.37 | < .001‡ |
| idVD (%, Mean ± SD) | 50.11 ± 4.32 | 46.15 ± 8.42 | .105‡ |
| cpVD (%, Mean ± SD) | 52.06 ± 6.29 | 43.24 ± 7.81 | < .001‡ |
| shVD (%, Mean ± SD) | 51.95 ± 5.48 | 42.07 ± 6.71 | < .001‡ |
| ihVD (%, Mean ± SD) | 48.32 ± 4.68 | 38.74 ± 6.02 | < .001‡ |
| wiCD (%, Mean ± SD) | 48.26 ± 12.07 | 41.49 ± 10.83 | .024‡ |
| idCD (%, Mean ± SD) | 44.44 ± 10.34 | 39.39 ± 9.60 | .900‡ |
| cpCD (%, Mean ± SD) | 45.35 ± 10.30 | 36.55 ± 10.15 | .093‡ |
| shCD (%, Mean ± SD) | 48.71 ± 6.06 | 38.83 ± 8.29 | < .001‡ |
| ihCD (%, Mean ± SD) | 48.43 ± 8.31 | 38.76 ± 7.68 | < .001‡ |
Macula | wiVD (%, Mean ± SD) | 50.31 ± 11.29 | 42.87 ± 9.05 | .004‡ |
| shVD (%, Mean ± SD) | 42.32 ± 9.30 | 37.24 ± 6.77 | .383‡ |
| ihVD (%, Mean ± SD) | 42.78 ± 9.19 | 36.98 ± 7.25 | .186‡ |
| wETDRSVD (%, Mean ± SD) | 41.83 ± 9.86 | 36.79 ± 6.94 | .312‡ |
| fVD (%, Mean ± SD) | 30.83 ± 14.35 | 34.14 ± 60.83 | .296‡ |
| parafVD (%, Mean ± SD) | 31.38 ± 16.36 | 39.56 ± 60.96 | .731‡ |
| parafshVD (%, Mean ± SD) | 45.73 ± 6.46 | 55.44 ± 94.98 | .057‡ |
| parafihVD (%, Mean ± SD) | 47.17 ± 8.48 | 40.36 ± 5.97 | .067‡ |
| paraftVD (%, Mean ± SD) | 44.06 ± 10.87 | 39.68 ± 8.74 | .417‡ |
| parafsVD (%, Mean ± SD) | 45.18 ± 12.31 | 38.62 ± 11.56 | .767‡ |
| parafnVD (%, Mean ± SD) | 46.01 ± 8.70 | 41.17 ± 5.11 | .960‡ |
| parafiVD (%, Mean ± SD) | 42.61 ± 10.94 | 39.08 ± 9.55 | .119‡ |
| perifVD (%, Mean ± SD) | 42.15 ± 10.42 | 36.99 ± 8.60 | .061‡ |
| perifshVD (%, Mean ± SD) | 42.68 ± 10.16 | 37.59 ± 7.27 | .406‡ |
| perifihVD (%, Mean ± SD) | 43.41 ± 9.48 | 37.49 ± 8.02 | .250‡ |
| PeriftVD (%, Mean ± SD) | 40.90 ± 9.06 | 35.53 ± 6.23 | .027‡ |
| PerifsVD (%, Mean ± SD) | 43.32 ± 6.63 | 37.78 ± 5.65 | .001‡ |
| perifnVD (%, Mean ± SD) | 54.30 ± 35.79 | 44.87 ± 26.11 | .039‡ |
| perifiVD (%, Mean ± SD) | 52.64 ± 32.17 | 42.24 ± 24.33 | .073‡ |
†Based on independent-samples T Test. ‡Based on generalized estimated equations models. SITA, Swedish Interactive Threshold Algorithm; dB, decibel; MD, Mean Deviation; PSD, Pattern Standard Deviation; cpRNFL, circumpapillary Retinal Nerve Fiber Layer; GCC, Ganglion Cell Complex; FLV, Focal Loss Volume; GLV, Global Loss Volume; ONH, Optic Nerve Head; wiVD, whole image Vessel Density; idVD, inside disc Vessel Density; cpVD, circumpapillary Vessel Density; shVD, superior hemi Vessel Density; ihVD, inferior hemi Vessel Density; wiCD, whole image Capillary Density; idCD, inside disc Capillary Density; cpCD, circumpapillary Capillary Density; shCD, superior hemi Capillary Density; ihCD, inferior hemi Capillary Density; fVD, foveal Vessel Density; parafVD, parafoveal Vessel Density; parafshVD, parafoveal superior hemi Vessel Density; parafihVD, parafoveal inferior hemi Vessel Density; paraftVD, parafoveal temporal Vessel Density; parafsVD, parafoveal superior Vessel Density; parafnVD, parafoveal nasal Vessel Density; parafiVD, parafoveal inferior Vessel Density; perifVD, perifoveal Vessel Density; perifshVD, perifoveal superior hemi Vessel Density; perifihVD, perifoveal inferior hemi Vessel Density; periftVD, perifoveal temporal Vessel Density; perifsVD, perifoveal superior Vessel Density; perifnVD, perifoveal nasal Vessel Density; perifiVD, parafoveal inferior Vessel Density |
Inside disc vessel (50.11 ± 4.32 versus. 46.15 ± 8.42; p = .105) and capillary density (44.44 ± 10.34 versus. 39.39 ± 9.60; p = .900) and cpCD (45.35 ± 10.30 versus. 36.55 ± 10.15; p = .093) was not different between groups but eyes with advanced glaucomatous damage had lower wiVD, cpVD, shVD, ihVD, wiCD, shCD and ihCD (p < .001, p < .001, p < .001, p < .001, p = .024, p < .001 and p < .001, respectively). Whole image vessel density of the macular area, periftVD, perifsVD and perifnVD were significantly lower in advanced glaucoma (p = .004, p = .027, p = .001, p = .039, respectively).
Partial correlation controlling for patient, age, gender, SSI, and disc area between circumpapillary structural parameters and MD of the VF 24 − 2 and 10 − 2 is presented in Table3. Superior (r = .351; p = .006) (Fig. 1) and inferior cpRNFL (r = .341; p = .008) and RNFL thickness in the nasal upper sector (r = .333; p = .009) had the strongest correlation with the MD of the VF 24 − 2. Considering the correlation between circumpapillary structural parameters and MD of the VF 10 − 2, only cpRNFL in the nasal quadrant (r = .316; p = .014) (Fig. 1), and RNFL thickness in the superonasal (r = .279; p = .031) and nasal upper sectors (r = .274; p = .034) had significant correlation. Partial correlation controlling for patient, age, gender, and SSI was significant between all macular structural parameters and MD of the VF 24 − 2 and 10 − 2 (Table 3). Average GCC thickness in the superior hemifield (Fig. 1), average GCC, and GLV were the parameters with the strongest correlation with the MD of VF 24 − 2 and 10 − 2 (Table 3).
Table 3
Partial Correlation between functional and structural parameters.
| | SITA 24 − 2 MD | | | SITA 10 − 2 MD | |
| | r | P | | | r | P | |
Average cpRNFL | .119 | .364† | | | − .189 | .147† | |
Superior cpRNFL | .351 | .006† | | | .223 | .086† | |
Inferior cpRNFL | .341 | .008† | | | .215 | .099† | |
cpRNFL, Temporal Quadrant | .199 | .127† | | | .172 | .188† | |
cpRNFL, Superior Quadrant | .312 | .015† | | | .099 | .451† | |
cpRNFL, Nasal Quadrant | .280 | .003† | | | .316 | .014† | |
cpRNFL, Inferior Quadrant | .251 | .053† | | | .022 | .867† | |
cpRNFL, Temporal Upper | .172 | .189† | | | .224 | .086† | |
cpRNFL, Superotemporal | .319 | .013† | | | .107 | .416† | |
cpRNFL, Superonasal | .252 | .052† | | | .279 | .031† | |
cpRNFL, Nasal Upper | .333 | .009† | | | .274 | .034† | |
cpRNFL, Nasal Lower | .225 | .084† | | | .123 | .349† | |
cpRNFL, Inferonasal | .262 | .043† | | | .097 | .459† | |
cpRNFL, Inferotemporal | .215 | .099† | | | .069 | .600† | |
cpRNFL, Temporal Lower | .113 | .389† | | | .210 | .108† | |
Average GCC | .475 | < .001‡ | | | .433 | < .001‡ | |
GCC, Superior | .558 | < .001‡ | | | .472 | < .001‡ | |
GCC, Inferior | .326 | .010‡ | | | .329 | .010‡ | |
GCC, FLV | − .434 | < .001‡ | | | − .407 | .001‡ | |
GCC, GLV | − .511 | < .001‡ | | | − .433 | < .001‡ | |
ONH | wiVD | .649 | < .001† | | | .321 | .012† | |
| idVD | .328 | .011† | | | .211 | .105† | |
| cpVD | .479 | < .001† | | | .445 | < .001† | |
| shVD | .510 | < .001† | | | .382 | .003† | |
| ihVD | .529 | < .001† | | | .335 | .009† | |
| wiCD | .169 | .198† | | | .134 | .307† | |
| idCD | .256 | .048† | | | .211 | .106† | |
| cpCD | .347 | .007† | | | .289 | .025† | |
| shCD | .520 | < .001† | | | .441 | < .001† | |
| ihCD | .314 | .015† | | | .303 | .018† | |
Macula | wiVD | .175 | .192‡ | | | .174 | .196‡ | |
| shVD | .334 | .011‡ | | | .286 | .031‡ | |
| ihVD | .346 | .008‡ | | | .294 | .027‡ | |
| wETDRSVD | .321 | .015‡ | | | .250 | .061‡ | |
| fVD | .093 | .492‡ | | | .319 | .016‡ | |
| parafVD | .250 | .061‡ | | | − .053 | .695‡ | |
| parafshVD | .175 | .192‡ | | | .089 | .510‡ | |
| parafihVD | .231 | .083‡ | | | .155 | .250‡ | |
| paraftVD | .296 | .026‡ | | | .166 | .218‡ | |
| parafsVD | .221 | .098‡ | | | .084 | .536‡ | |
| parafnVD | .084 | .533‡ | | | .149 | .267‡ | |
| parafiVD | .046 | .737‡ | | | .071 | .601‡ | |
| perifVD | .349 | .008‡ | | | .184 | .170‡ | |
| perifshVD | .361 | .006‡ | | | .345 | .009‡ | |
| perifihVD | .373 | .004‡ | | | .341 | .010‡ | |
| PeriftVD | .270 | .043‡ | | | .291 | .028‡ | |
| PerifsVD | .291 | .028‡ | | | .273 | .040‡ | |
| perifnVD | .348 | .008‡ | | | .183 | .173‡ | |
| perifiVD | .397 | .002‡ | | | .429 | .001‡ | |
†Based on partial correlation coefficient and controlling for patient, age, gender, signal strength index and disc area. ‡ Based on partial correlation coefficient and controlling for patient, age, gender and signal strength index. SITA, Swedish Interactive Threshold Algorithm; MD, Mean Deviation; PSD, Pattern Standard Deviation; cpRNFL, circumpapillary Retinal Nerve Fiber Layer; GCC, Ganglion Cell Complex; FLV, Focal Loss Volume; GLV, Global Loss Volume; ONH, Optic Nerve Head; wiVD, whole image Vessel Density; idVD, inside disc Vessel Density; cpVD, circumpapillary Vessel Density; shVD, superior hemi Vessel Density; ihVD, inferior hemi Vessel Density; wiCD, whole image Capillary Density; idCD, inside disc Capillary Density; cpCD, circumpapillary Capillary Density; shCD, superior hemi Capillary Density; ihCD, inferior hemi Capillary Density; fVD, foveal Vessel Density; parafVD, parafoveal Vessel Density; parafshVD, parafoveal superior hemi Vessel Density; parafihVD, parafoveal inferior hemi Vessel Density; paraftVD, parafoveal temporal Vessel Density; parafsVD, parafoveal superior Vessel Density; parafnVD, parafoveal nasal Vessel Density; parafiVD, parafoveal inferior Vessel Density; perifVD, perifoveal Vessel Density; perifshVD, perifoveal superior hemi Vessel Density; perifihVD, perifoveal inferior hemi Vessel Density; periftVD, perifoveal temporal Vessel Density; perifsVD, perifoveal superior Vessel Density; perifnVD, perifoveal nasal Vessel Density; perifiVD, parafoveal inferior Vessel Density |
Except for the nonsignificant correlation between wiCD of the ONH and MD of the VF 24 − 2 and wiCD of the ONH and idCD and MD of the VF 10 − 2, other vascular parameters in the ONH area had significant correlation (controlling for patient, age, gender, SSI and disc area) with MD of VF 24 − 2 and 10 − 2 (Table 3). Whole image vessel density, ihVD and shCD had the strongest correlation with the MD of VF 24 − 2 (r = .649, r = .529, r = .520, respectively; p < .001) (Table 3) (Fig. 1). circumpapillary vessel density, shCD and shVD were the factors with strongest correlation with the MD of the VF 10 − 2 (r = .445, p < .001; r = .441, p < .001 and r = .382, p = .003; respectively) (Table 3) (Fig. 1). Among macular vascular parameters perifiVD (r = .397; p = .002) (Fig. 1), perifihVD (r = .373; p = .004) and perifshVD (r = .361; p = .006) had the strongest correlation with the MD of VF 24 − 2 (Table 3). Also, the same parameters had the strongest correlation with the MD of VF 10 − 2 (r = .429, p = .001; r = .342, p = .010; r = .345, p = .009; respectively) (Fig. 1) (Table 3).
Table 4 shows the AUC of different parameters to detection of the severity of glaucoma. Structural parameters related to cpRNFL and macula with greatest AUC were inferior cpRNFL, RNFL thickness in the superotemporal sector, superior cpRNFL, superior GCC, FLV and GLV (AUC = .789, AUC = .779, AUC = .765, AUC = .818, AUC = .811, AUC = .789; p < .001). Vascular parameters with greatest AUC were ihVD, wiVD and shVD in the ONH area and perifiVD, perifihVD and ihVD in SCP of the macula (AUC = .886, AUC = .869, AUC = .868, AUC = .833, AUC = .825, AUC = .815; p < .001). Global and average parameters in each of the imaging modalities and structural and vascular parameters with greatest AUCs are shown in Fig. 2.
Table 4
The prediction ability of different structural parameters to detect the severity of glaucoma.
| Area Under the Curve | Standard Error | Asymptotic Significance | Asymptotic 95% Confidence Interval |
Lower Bound | Upper Bound |
Average cpRNFL | .666 | .068 | .025 | .532 | .800 |
Superior cpRNFL | .765 | .058 | < .001 | .651 | .879 |
Inferior cpRNFL | .789 | .056 | < .001 | .679 | .899 |
cpRNFL, Temporal Quadrant | .686 | .065 | .012 | .558 | .814 |
cpRNFL, Superior Quadrant | .750 | .062 | 0.001 | 0.628 | 0.782 |
cpRNFL, Nasal Quadrant | .668 | .069 | .023 | .532 | .804 |
cpRNFL, Inferior Quadrant | .759 | .061 | < .001 | .640 | .878 |
cpRNFL, Temporal Upper | .678 | .067 | .016 | .547 | .809 |
cpRNFL, Superotemporal | .779 | .057 | < .001 | .667 | .891 |
cpRNFL, Superonasal | .743 | .064 | .001 | .618 | .868 |
cpRNFL, Nasal Upper | .667 | .071 | .024 | .529 | .805 |
cpRNFL, Nasal Lower | .633 | .069 | .073 | .498 | .768 |
cpRNFL, Inferonasal | .729 | .062 | .002 | .608 | .850 |
cpRNFL, Inferotemporal | .750 | .067 | .001 | .618 | .882 |
cpRNFL, Temporal Lower | .670 | .068 | .022 | .537 | .803 |
Average GCC | .784 | .058 | < .001 | .670 | .898 |
GCC, Superior | .818 | .052 | < .001 | .717 | .919 |
GCC, Inferior | .728 | .066 | .002 | .599 | .857 |
GCC, FLV | .811 | .057 | < .001 | .699 | .923 |
GCC, GLV | .789 | .057 | < .001 | .677 | .901 |
ONH | wiVD | .869 | .047 | < .001 | .777 | .961 |
| idVD | .662 | .067 | .028 | .530 | .795 |
| cpVD | .837 | .051 | < .001 | .736 | .938 |
| shVD | .868 | .046 | < .001 | .779 | .957 |
| ihVD | .886 | .041 | < .001 | .805 | .967 |
| wiCD | .673 | .068 | .020 | .540 | .806 |
| idCD | .664 | .067 | .027 | .532 | .796 |
| cpCD | .807 | .057 | < .001 | .696 | .918 |
| shCD | .831 | .050 | < .001 | .734 | .928 |
| ihCD | .823 | .051 | < .001 | .724 | .923 |
Macula | wiVD | .720 | .065 | .004 | .593 | .847 |
| shVD | .784 | .065 | < .001 | .657 | .911 |
| ihVD | .815 | .058 | < .001 | .700 | .929 |
| wETDRSVD | .797 | .066 | < .001 | .667 | .926 |
| fVD | .637 | .073 | .070 | .493 | .780 |
| parafVD | .531 | .076 | .681 | .383 | .679 |
| parafshVD | .762 | .068 | .001 | .628 | .895 |
| parafihVD | .768 | .066 | < .001 | .638 | .898 |
| paraftVD | .704 | .071 | .006 | .566 | .843 |
| parafsVD | .719 | .069 | .003 | .585 | .854 |
| parafnVD | .686 | .081 | .014 | .526 | .845 |
| parafiVD | .671 | .072 | .021 | .530 | .812 |
| perifVD | .765 | .067 | < .001 | .634 | .895 |
| perifshVD | .780 | .065 | < .001 | .653 | .907 |
| perifihVD | .825 | .056 | < .001 | .716 | .934 |
| PeriftVD | .789 | .064 | < .001 | .664 | .915 |
| PerifsVD | .770 | .065 | < .001 | .642 | .898 |
| perifnVD | .768 | .060 | < .001 | .650 | .886 |
| perifiVD | .833 | .049 | < .001 | .736 | .930 |
cpRNFL, circumpapillary Retinal Nerve Fiber Layer; GCC, Ganglion Cell Complex; FLV, Focal Loss Volume; GLV, Global Loss Volume; ONH, Optic Nerve Head; wiVD, whole image Vessel Density; idVD, inside disc Vessel Density; cpVD, circumpapillary Vessel Density; shVD, superior hemi Vessel Density; ihVD, inferior hemi Vessel Density; wiCD, whole image Capillary Density; idCD, inside disc Capillary Density; cpCD, circumpapillary Capillary Density; shCD, superior hemi Capillary Density; ihCD, inferior hemi Capillary Density; fVD, foveal Vessel Density; parafVD, parafoveal Vessel Density; parafshVD, parafoveal superior hemi Vessel Density; parafihVD, parafoveal inferior hemi Vessel Density; paraftVD, parafoveal temporal Vessel Density; parafsVD, parafoveal superior Vessel Density; parafnVD, parafoveal nasal Vessel Density; parafiVD, parafoveal inferior Vessel Density; perifVD, perifoveal Vessel Density; perifshVD, perifoveal superior hemi Vessel Density; perifihVD, perifoveal inferior hemi Vessel Density; periftVD, perifoveal temporal Vessel Density; perifsVD, perifoveal superior Vessel Density; perifnVD, perifoveal nasal Vessel Density; perifiVD, parafoveal inferior Vessel Density |
Table 5 and Table 6 are related to the comparison of the AUC of the different parameters. Among global and average variables only wiVD in the ONH are had greater AUC than average cpRNFL (.869 versus. .666; p = .001). As presented in Table 6 in the pairwise comparison of the variables with the greatest AUC no significant difference was found.
Table 5
Comparison between area under the curve between global structural and vascular parameters.
| GCC, GLV | ONH, wiVD | Macula, wiVD |
Average cpRNFL | .165 | .001 | .654 |
GCC, GLV | | .212 | .481 |
ONH, wiVD | | | .057 |
GCC, Ganglion Cell Complex; GLV, Global Loss Volume; ONH, Optic Nerve Head; wiVD, whole image Vessel Density; cpRNFL, circumpapillary Retinal Nerve Fiber Layer |
Table 6
Comparison between the area under the curve in different structural and functional parameters with the highest area.
| GCC, Superior | ONH, ihVD | perifiVD |
Inferior cpRNFL | .587 | .056 | .440 |
GCC, Superior | | .163 | .658 |
ONH, ihVD | | | .601 |
GCC, Ganglion Cell Complex; ONH, Optic Nerve Head; ihVD, inferior hemi Vessel Density; perifiVD, perifoveal inferior Vessel Density; cpRNFL, circumpapillary Retinal Nerve Fiber Layer |