The digital Cullen chart: a red colour perimetry aid for visual field examination
30 years ago, a paper chart was developed in Edinburgh by Cullen et al. and validated as a swift, supplementary method for perimetric evaluation of visual fields. We have re-developed this concept in digital form (on smartphone screen) and assessed its sensitivity and specificity in detecting visual...
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Published in | British Journal of Neurosurgery Vol. ahead-of-print; no. ahead-of-print; pp. 1 - 5 |
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Main Authors | , , , , |
Format | Report |
Language | English |
Published |
Taylor & Francis
24.01.2022
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Subjects | |
Online Access | Get full text |
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Summary: | 30 years ago, a paper chart was developed in Edinburgh by Cullen et al. and validated as a swift, supplementary method for perimetric evaluation of visual fields. We have re-developed this concept in digital form (on smartphone screen) and assessed its sensitivity and specificity in detecting visual field loss, by comparison with formal machine-based perimetry.
Patients with sellar and parasellar tumours, being managed in a single neurosurgical centre, underwent formal visual field perimetry as part of standard care. They also underwent assessment using the smartphone-based Cullen chart. 37 eye testing episodes were assessed, incorporating pre- and post-treatment assessments for a range of potentially compressive pathologies (non-secretory and secretory pituitary adenoma, craniopharyngioma, and parasellar meningioma). The smartphone-based Cullen chart was compared with formal machine-based perimetry for concordance in detecting visual field loss.
The digital Cullen chart had a sensitivity of 75% and specificity of 98% compared with machine-based perimeters. The positive predictive value was 93% and the negative predictive value was 92%.
For the visual field assessment of patients with sellar/parasellar tumours, this simple and swift smartphone-based chart shows good concordance with machine-based perimeters. With amendments to the user interface, there may be potential for telemetric patient-led visual field monitoring. |
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ISSN: | 0268-8697 1360-046X |
DOI: | 10.1080/02688697.2021.2014782 |