Key result
Tablet-based review matches diagnostic displays, identifying ~100% of intracranial haemorrhages in acute stroke.
Observational (n=150)
No
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INTRODUCTION: The authors propose that tablet computers could benefit patients with acute stroke in the remote care setting, where time to and accuracy of CT interpretation greatly influences patient outcome. METHODS: One hundred and fifty consecutive patients who presented to the Emergency Department of a tertiary referral neurosciences centre within a time window suitable for intravenous thrombolytic therapy were included. Images were wirelessly transmitted to a tablet computer (iPad 3rd Generation, model = A1430, Apple, Cupertino, CA) and were reviewed by radiologists with three levels of experience for signs of intracranial haemorrhage, large vessel occlusion and parenchymal infarction. Reference standard interpretation was performed by two neuroradiologists using a diagnostic monochrome display. RESULTS: Consensus neuroradiologist review on the tablet display found and correctly classified all of the 23 cases of intracranial haemorrhage including 21 cases of parenchymal haematoma, two cases of petechial haemorrhage and one patient with an acute subdural haematoma. Less experienced readers missed cases of petechial and subdural haematomas. There was excellent agreement between the tablet and diagnostic monochrome display in cases with no infarct or extensive parenchymal infarction. CONCLUSIONS: Tablet computers can be used to facilitate rapid preliminary CT interpretation in patients with acute stroke in the remote setting.
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McLaughlin et al. (2017) conducted an observational in Acute stroke (n=150). Tablet computer (iPad 3rd Generation) CT review vs. Diagnostic monochrome display reference standard was evaluated on Detection and classification of intracranial haemorrhage, large vessel occlusion, and parenchymal infarction. Consensus neuroradiologist review on a tablet computer identified and correctly classified 100% (23/23) of intracranial haemorrhages in acute stroke patients compared to a diagnostic display.
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