MedLink Neurology Podcast is delighted to feature selected episodes from BrainWaves, courtesy of James E Siegler MD, its originator and host. BrainWaves is an academic audio podcast whose mission is to educate medical providers through clinical cases and topical reviews in neurology, medicine, and the humanities, and episodes originally aired from 2016 to 2021.
Originally released: April 2, 2020
Perfusion imaging employs concepts that date back to the early 1830s, and it leverages hardware and software that emerged around the same time as multidetector helical CT scans. But it has only become popular in recent years for thrombectomy decision-making. If I'm being honest, I often never use it for this purpose. So what other purposes might it serve? And how does it work? This week, we review the fundamental concepts of perfusion CT, its utility in stroke care, and how it might prove useful for other neurologic conditions as well.
Produced by James E Siegler. Music courtesy of Julie Maxwell, John Bartmann, Kai Engel, and Pachyderm. Our theme song was composed by Jimothy Dalton. Sound effects by Mike Koenig and Daniel Simion. Some of the voices you heard throughout the program were those of Dr. Mathias Prokop, Radbound Medical Center, Netherlands; Terri Yeager, Comprehensive Stroke Program Coordinator at Cooper University Hospital; and a recording that was produced by GE Healthcare, which is freely available on YouTube. Unless otherwise mentioned in the podcast, no competing financial interests exist in the content of this episode. BrainWaves' podcasts and online content are intended for medical education only and should not be used for clinical decision-making. Be sure to follow us on Twitter @brainwavesaudio for the latest updates to the podcast.
REFERENCES
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Barber PA, Demchuk AM, Zhang J, Buchan AM. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. ASPECTS Study Group. Alberta Stroke Programme Early CT Score. Lancet 2000;355(9216):1670-4. PMID 10905241
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