New Application for Automatic Hemifield Damage Identification in Humphrey Field Analyzer (HFA) Visual Fields

Purpose To determine the correlation between neuroretinal rim area and functional losses detected by short-wavelength automated perimetry (SWAP) in a population of patients with suspected glaucoma. Methods Forty-two eyes of 42 ocular hypertensive subjects who met the selection criteria (intraocular pressure greater than 21 mm of Hg and normal conventional visual fields) were studied. A planimetric optic nerve head study was performed, determining the total and sectorized neuroretinal rim areas. SWAP was also done, with a modified Humphrey field analyzer. Results There were no significant correlations between the neuroretinal rim areas and the global perimetric parameters. However, the correlations between the inferotemporal neuroretinal rim area and some superonasal visual field regions (areas 3 and 4) were significant. Conclusions There is a relation in the topography of some visual field areas assessed by SWAP and the inferotemporal neuroretinal rim area, which may play a role in the diagnosis and follow-up of suspected glaucoma.

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Compass fundus automated perimetry

European Journal of Ophthalmology ◽

10.1177/1120672118757667 ◽

2018 ◽

Vol 28 (5) ◽

pp. 481-490 ◽

Cited By ~ 1

Author(s):

Paolo Fogagnolo ◽

Maurizio Digiuni ◽

Giovanni Montesano ◽

Chiara Rui ◽

Marco Morales ◽

...

Keyword(s):

Visual Field ◽

Visual Fields ◽

Field Testing ◽

Automated Perimetry ◽

Standard Automated Perimetry ◽

Gaze Tracking ◽

Intrinsic Factors ◽

Global Indices ◽

Humphrey Field Analyzer ◽

The Impact

Background: Compass (CenterVue, Padova, Italy) is a fundus automated perimeter which has been introduced in the clinical practice for glaucoma management in 2014. The aim of the article is to review Compass literature, comparing its performances against Humphrey Field Analyzer (Zeiss Humphrey Systems, Dublin, CA, USA). Results: Analyses on both normal and glaucoma subjects agree on the fact that Humphrey Field Analyzer and Compass are interchangeable, as the difference of their global indices is largely inferior than test -retest variability for Humphrey Field Analyzer. Compass also enables interesting opportunities for the assessment of morphology, and the integration between morphology and function on the same device. Conclusion: Visual field testing by standard automated perimetry is limited by a series of intrinsic factors related to the psychophysical nature of the examination; recent papers suggest that gaze tracking is closely related to visual field reliability. Compass, thanks to a retinal tracker and to the active dislocation of stimuli to compensate for eye movements, is able to provide visual fields unaffected by fixation instability. Also, the instrument is a true colour, confocal retinoscope and obtains high-quality 60° × 60° photos of the central retina and stereo-photos details of the optic nerve. Overlapping the image of the retina to field sensitivity may be useful in ascertaining the impact of comorbidities. In addition, the recent introduction of stereoscopic photography may be very useful for better clinical examination.

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Comparison of Perimetric Outcomes from Melbourne Rapid Fields Tablet Perimeter Software and Humphrey Field Analyzer in Glaucoma Patients

Journal of Ophthalmology ◽

10.1155/2020/8384509 ◽

2020 ◽

Vol 2020 ◽

pp. 1-9

Author(s):

Harsh Kumar ◽

Mithun Thulasidas

Keyword(s):

Standard Deviation ◽

Visual Field ◽

Rural Areas ◽

Visual Fields ◽

Test Time ◽

Mean Deviation ◽

Time Saving ◽

Humphrey Field Analyzer ◽

Probability Plot ◽

The Mean

Purpose. To compare visual field results obtained using Melbourne Rapid Fields (MRF) iPad-based perimeter software and Humphrey Field Analyzer (HFA) 24-2 Swedish Interactive Threshold Algorithm (SITA) standard program in glaucoma patients. Design. A cross-sectional observational study. Methods. In this single-centre study involving patients diagnosed with glaucoma, the perimetric outcomes of MRF were compared against those returned from the HFA 24-2 SITA standard. Outcomes included mean deviation (MD), pattern standard deviation (PSD), visual field index (VFI)/visual capacity (VC), foveal threshold, test time, number of points depressed at P<5% on PSD probability plot, and glaucoma hemifield test/color coded indicator. Results. The study included 28 eyes of 28 glaucoma patients. Mean (standard deviation) test times were 342.07 (56.70) seconds for MRF and 375.11 (88.95) for HFA 24-2 SITA standard P=0.046. Mean MD was significantly lower for MRF (Δ = 3.09, P<0.001), and mean PSD was significantly higher for MRF (Δ = 1.40, P=0.005) compared with HFA. The mean foveal threshold for the MRF was significantly lower than the mean HFA foveal threshold ((Δ = 9.25, P<0.001). The number of points depressed at P<5% on the PSD probability plot was significantly less for MRF P<0.001. Other perimetric outcomes showed no significant differences between both. Bland–Altman plots showed that considerable variability existed between the programs. Conclusion. MRF is a good cost-effective, time-saving, user-friendly tool for monitoring visual fields in settings where access to traditional perimetry is limited. The lack of Internet strength in rural areas and questionable detection of early cases may be two points in MRF fields requiring an upgrade.

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The Association Between the Number of Visual Fields and the Accuracy of Future Prediction in Eyes With Retinitis Pigmentosa

10.21203/rs.3.rs-244557/v1 ◽

2021 ◽

Author(s):

Ryo Asaoka ◽

Akio Oishi ◽

Yuri Fujino ◽

Hiroshi Murata ◽

Keiko Azuma ◽

...

Keyword(s):

Confidence Interval ◽

Retinitis Pigmentosa ◽

Prediction Error ◽

Visual Fields ◽

Absolute Error ◽

Mean Deviation ◽

Humphrey Field Analyzer ◽

Minimum Number ◽

Future Prediction ◽

The Mean

Abstract The purpose of the study was to evaluate the minimum number of visual fields (VFs) required to precisely predict future VFs in eyes with retinitis pigmentosa (RP). A series of 12 VFs (Humphrey Field Analyzer 10-2 test, (8.9 years in average) were analyzed from 102 eyes of 52 RP patients. The absolute error to predict the 12th VF using the prior 11 VFs was calculated in a pointwise manner, using the linear regression, and the 95% confidence interval (CI) range was determined. Then, using 3 to 10 initial VFs, next VFs (4th to 11th VFs, respectively) were also predicted. The minimum number of VFs required for the mean absolute prediction error to reach the 95% CI was identified. Similar analyses were iterated for the second and third next VF predictions. Similar analyses were conducted using mean deviation (MD). In the pointwise analysis, the minimum number of VFs required to reach the 95% CI for the 12th VF was 5 (first and second next VF predictions) and 6 (third next VF prediction). For the MD analysis, 3 (first and second next VF predictions) and 4 (third next VF prediction) VFs were required to reach 95% CI for the 12th VF.

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Association between the number of visual fields and the accuracy of future prediction in eyes with retinitis pigmentosa

BMJ Open Ophthalmology ◽

10.1136/bmjophth-2021-000900 ◽

2021 ◽

Vol 6 (1) ◽

pp. e000900

Author(s):

Ryo Asaoka ◽

Akio Oishi ◽

Yuri Fujino ◽

Hiroshi Murata ◽

Keiko Azuma ◽

...

Keyword(s):

Linear Regression ◽

Retinitis Pigmentosa ◽

Prediction Error ◽

Visual Fields ◽

Absolute Error ◽

Mean Deviation ◽

Humphrey Field Analyzer ◽

Minimum Number ◽

Future Prediction ◽

The Mean

PurposeTo evaluate the minimum number of visual fields (VFs) required to precisely predict future VFs in eyes with retinitis pigmentosa (RP).MethodsA series of 12 VFs (Humphrey Field Analyzer 10–2 test (8.9 years in average) were analysed from 102 eyes of 52 patients with RP. The absolute error to predict the 12th VF using the prior 11 VFs was calculated in a pointwise manner, using the linear regression, and the 95% CI range was determined. Then, using 3–10 initial VFs, next VFs (4th to 11th VFs, respectively) were also predicted. The minimum number of VFs required for the mean absolute prediction error to reach the 95% CI was identified. Similar analyses were iterated for the second and third next VF predictions. Similar analyses were conducted using mean deviation (MD).ResultsIn the pointwise analysis, the minimum number of VFs required to reach the 95% CI for the 12th VF was five (first and second next VF predictions) and six (third next VF prediction). For the MD analysis, three (first and second next VF predictions) and four (third next VF prediction) VFs were required to reach 95% CI for the 12th VF.ConclusionsThe minimum number of VFs required to obtain accurate predictions of the future VF was five or six in the pointwise analysis and three or four in the analysis with MD.

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