Table 2 Demographics and clinical characteristics of the test group.

From: Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma

Number of eyes (patients)

337 (186)

Age, years

63.69 ± 12.89

Sex, Female

103 (55.38)

Best corrected visual acuity (logMAR)

0.15 ± 0.25

Intraocular pressure at test, mmHg

16.32 ± 3.82

Spherical equivalent, diopter

 − 1.23 ± 2.57

Axial length, mm

24.22 ± 1.52

Central corneal thickness, μm

543.23 ± 39.15

Lens status, Phakia

245 (72.70)

Diabetes mellitus

29 (15.59)

Hypertension

64 (34.41)

Diagnosis

Normal

8

Glaucoma suspect

72

Ocular hypertension

15

Primary open-angle glaucoma

163

Primary angle-closure glaucoma

36

Pseudoexfoliation glaucoma

23

Other secondary glaucoma

20

10-2 visual field

MD, dB

 − 4.95 ± 6.23

PSD, dB

4.05 ± 4.28

SS-OCT

OCT image quality value

57.19 ± 6.88

mGC/IPLT, μm

Average

62.20 ± 9.45

Superotemporal

62.59 ± 10.66

Superior

62.59 ± 9.78

Superonasal

67.52 ± 10.07

Inferonasal

63.54 ± 10.66

Inferior

56.89 ± 9.70

Inferotemporal

60.05 ± 12.34

cpRNFLT, μm

Average

83.31 ± 21.72

Temporal

71.61 ± 17.88

Superior

99.11 ± 29.67

Nasal

65.14 ± 18.74

Inferior

97.37 ± 36.27

  1. Values are presented as mean ± standard deviation (range) or number (%) unless otherwise indicated. logMAR  logarithm of the minimum angle of resolution; MD  mean deviation; PSD  pattern standard deviation; SS-OCT  swept-source optical coherence tomography; mGC/IPLT  macular ganglion cell/inner plexiform layer thickness; cpRNFLT  circumpapillary retinal nerve fiber layer thickness.
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