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Tablets at the bedside - iPad-based visual field test used in the diagnosis of Intrasellar Haemangiopericytoma: a case report

Overview of attention for article published in BMC Ophthalmology, April 2017
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Title
Tablets at the bedside - iPad-based visual field test used in the diagnosis of Intrasellar Haemangiopericytoma: a case report
Published in
BMC Ophthalmology, April 2017
DOI 10.1186/s12886-017-0445-z
Pubmed ID
Authors

Nisha Nesaratnam, Peter B. M. Thomas, Ramez Kirollos, Algis J. Vingrys, George Y. X. Kong, Keith R. Martin

Abstract

In the assessment of a pituitary mass, objective visual field testing represents a valuable means of evaluating mass effect, and thus in deciding whether surgical management is warranted. In this vignette, we describe a 73 year-old lady who presented with a three-week history of frontal headache, and 'blurriness' in the left side of her vision, due to a WHO grade III anaplastic haemangiopericytoma compressing the optic chiasm. We report how timely investigations, including an iPad-based visual field test (Melbourne Rapid Field, (MRF)) conducted at the bedside aided swift and appropriate management of the patient. We envisage such a test having a role in assessing bed-bound patients in hospital where access to formal visual field testing is difficult, or indeed in rapid testing of visual fields at the bedside to screen for post-operative complications, such as haematoma.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 16%
Student > Bachelor 4 16%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Student > Postgraduate 2 8%
Other 4 16%
Unknown 6 24%
Readers by discipline Count As %
Medicine and Dentistry 6 24%
Neuroscience 3 12%
Nursing and Health Professions 2 8%
Engineering 2 8%
Business, Management and Accounting 2 8%
Other 1 4%
Unknown 9 36%