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. 2021 Aug 29:13:231-238.
doi: 10.2147/EB.S315403. eCollection 2021.

Sensitivity and Specificity of New Visual Field Screening Software for Diagnosing Hemianopia

Supharat Jariyakosol #  1   2 , Patcharaporn Jaru-Ampornpan #  1   2 , Anita Manassakorn  1   2 , Rath Itthipanichpong  1   2 , Parima Hirunwiwatkul  1   2 , Visanee Tantisevi  1   2 , Thanapong Somkijrungroj  1   2 , Prin Rojanapongpun  1   2
Affiliations

Sensitivity and Specificity of New Visual Field Screening Software for Diagnosing Hemianopia

Supharat Jariyakosol et al. Eye Brain. .

Abstract

Purpose: To assess the diagnostic accuracy of visual field results generated by the newly developed software (CU-VF) and the standard automated perimetry (SAP) for detecting hemianopia.

Patients and methods: Forty-three subjects with hemianopia and 33 controls were tested with the CU-VF software on a personal computer and SAP. Hemianopia was defined as the presence of a hemianopic field respecting the vertical meridian on SAP with the corresponding neuroimaging pathology as evaluated by 2 neuro-ophthalmologists. Results of CU-VF were independently evaluated by 2 neuro-ophthalmologists, 1 general ophthalmologist, and 1 general practitioner in terms of the presence of hemianopia. Sensitivity, specificity, and kappa coefficient for inter-observer reliability were calculated. Satisfaction and ease of use were evaluated with a visual analog-scale questionnaire and analyzed using paired t-test.

Results: The sensitivity (95% CI) and specificity (95% CI) of the CU-VF to detect hemianopia was 74.42% (58.53-85.96) and 93.94% (78.38-99.94). Kappa coefficient between neuro-ophthalmologists versus general ophthalmologist and general practitioner were 0.71 and 0.84, respectively. The mean (SD) test duration was 2.25 (0.002) minutes for the CU-VF and 5.38 (1.34) minutes for SAP (p < 0.001). Subjects reported significantly higher satisfaction and comfort using the CU-VF software compared to SAP.

Conclusion: The CU-VF screening software showed good validity and reliability to detect hemianopia, with shorter test duration and higher subject satisfaction compared to SAP.

Keywords: hemianopia; screening software; visual field.

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Conflict of interest statement

The authors report no conflicts of interest in this work.

Figures

Figure 1
Figure 1
Example of the CU-VF software unit and a reader.
Figure 2
Figure 2
Examples of visual field results from the software compare with standard automated perimetry. (A) Pattern deviation. (B) Grayscale. (C) CU-VF software.
Figure 3
Figure 3
Example of a normal visual field result from the CU-VF software presented in the visual field graphic plot. There are 54 test locations. The dark gray area is an acceptable area for blind spot.
Figure 4
Figure 4
This plot shows the area under the ROC curve (AUC score).
Figure 5
Figure 5
Examples of midline shift visual field defect results from the CU-VF software. (A) Left eye. (B) Right eye.
See this image and copyright information in PMC

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