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Keenlyside A, Hughes M, Ho JW, Sieradzki J. 73 The Digital Cullen Chart: An App to Assess the Visual Field in the Context of Sellar/parasellar Tumours. Br J Surg 2022. [DOI: 10.1093/bjs/znac269.270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
Aim
30 years ago, Cullen1 (a neuro-ophthalmologist) developed and validated a simple paper chart for evaluation of the central 25 degrees of the visual field. We re-developed this concept in digital form (as a smartphone application) and sought to assess its sensitivity and specificity in detecting field loss, through comparison with formal machine-based perimetry.
Method
A case series pilot study was performed to test the app-based Cullen chart for concordance with formal machine-based perimetry (Humphrey and Octopus). 18 patients with a range of sellar/parasellar tumours (pituitary adenoma, craniopharyngioma, and meningioma) being managed in a single neurosurgical centre were involved in this study. Patients underwent formal visual field perimetry as part of standard care. They also underwent assessment using the smartphone-based Cullen chart as part of routine outpatient assessment. 37 eye episodes were assessed, incorporating pre- and post- treatment assessment for a range of potentially compressive pathologies.
Results
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 negative predictive value was 92%.
Conclusions
In the context of visual field assessment for patients with sellar/parasellar tumours, this smartphone-based chart shows strong concordance with machine-based perimeters. It is therefore an accessible visual field screening and monitoring tool for clinicians. With further study, there is also potential for approval as a remote patient-led visual field monitoring method.
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Affiliation(s)
- A Keenlyside
- School of Medicine, University of Dundee , Dundee , United Kingdom
| | - M Hughes
- Department of Clinical Neurosciences , BioQuarter, Edinburgh , United Kingdom
| | - JW Ho
- Department of Neurosurgery , North Bristol Trust, Bristol , United Kingdom
| | - J Sieradzki
- University of Edinburgh , Edinburgh , United Kingdom
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