TY - JOUR
T1 - Automated CT perfusion imaging for acute ischemic stroke
T2 - Pearls and pitfalls for real-world use
AU - Vagal, Achala
AU - Wintermark, Max
AU - Nael, Kambiz
AU - Bivard, Andrew
AU - Parsons, Mark
AU - Grossman, Aaron W.
AU - Khatri, Pooja
N1 - Funding Information:
A. Vagal: NIH/NINDS R01 NS30678; NIH/NINDS R01 NINDS NS100417; NIH/NINDS 1U01NS100699; Received funds for efforts to her department from Cerenovus, Inc (ENDOLOW TRIAL Imaging Core) and GE Healthcare (Research grant PI). M. Wintermark reports no disclosures relevant to the manuscript. K. Nael: Olea Medical (medical advisory board) and Siemens. A. Bivard: research collaborations with Apollo, Siemens, and Toshiba/Canon, but receives
Funding Information:
A. Vagal: NIH/NINDS R01 NS30678; NIH/NINDS R01 NINDS NS100417; NIH/NINDS 1U01NS100699; Received funds for efforts to her department from Cerenovus, Inc (ENDOLOW TRIAL Imaging Core) and GE Healthcare (Research grant PI). M. Wintermark reports no disclosures relevant to the manuscript. K. Nael: Olea Medical (medical advisory board) and Siemens. A. Bivard: research collaborations with Apollo, Siemens, and Toshiba/Canon, but receives no financial support. M. Parsons: research collaborations with Apollo, Siemens, and Toshiba/Canon, but receives no financial support, and National Health and Medical Research Council of Australia Program Grant ?Saving brain and changing practice? (APP1113352). Grossman: speakers' bureau for Genentech. P. Khatri: received funds for her efforts to her department from Genentech (PRISMS Lead PI), Cerenovus (ENDOLOW TRIAL IIS PI), and Lumosa (DSMB, consultant). Go to Neurology.org/N for full disclosures.
Funding Information:
no financial support. M. Parsons: research collaborations with Apollo, Siemens, and Toshiba/Canon, but receives no financial support, and National Health and Medical Research Council of Australia Program Grant “Saving brain and changing practice” (APP1113352). Grossman: speakers’ bureau for Genentech. P. Khatri: received funds for her efforts to her department from Genentech (PRISMS Lead PI), Cerenovus (ENDOLOW TRIAL IIS PI), and Lumosa (DSMB, consultant). Go to Neurology.org/N for full disclosures.
Publisher Copyright:
Copyright © 2019 American Academy of Neurology.
PY - 2019/11/12
Y1 - 2019/11/12
N2 - Recent positive trials have thrust acute cerebral perfusion imaging into the routine evaluation of acute ischemic stroke. Updated guidelines state that in patients with anterior circulation large vessel occlusions presenting beyond 6 hours from time last known well, advanced imaging selection including perfusion-based selection is necessary. Centers that receive patients with acute stroke must now have the capability to perform and interpret CT or magnetic resonance perfusion imaging or provide rapid transfer to centers with the capability of selecting patients for a highly impactful endovascular therapy, particularly in delayed time windows. Many stroke centers are quickly incorporating the use of automated perfusion processing software to interpret perfusion raw data. As CT perfusion (CTP) is being assimilated in real-world clinical practice, it is essential to understand the basics of perfusion acquisition, quantification, and interpretation. It is equally important to recognize the common technical and clinical diagnostic challenges of automated CTP including ischemic core and penumbral misclassifications that could result in underestimation or overestimation of the core and penumbra volumes. This review highlights the pitfalls of automated CTP along with practical pearls to address the common challenges. This is particularly tailored to aid the acute stroke clinician who must interpret automated perfusion studies in an emergency setting to make time-dependent treatment decisions for patients with acute ischemic stroke.
AB - Recent positive trials have thrust acute cerebral perfusion imaging into the routine evaluation of acute ischemic stroke. Updated guidelines state that in patients with anterior circulation large vessel occlusions presenting beyond 6 hours from time last known well, advanced imaging selection including perfusion-based selection is necessary. Centers that receive patients with acute stroke must now have the capability to perform and interpret CT or magnetic resonance perfusion imaging or provide rapid transfer to centers with the capability of selecting patients for a highly impactful endovascular therapy, particularly in delayed time windows. Many stroke centers are quickly incorporating the use of automated perfusion processing software to interpret perfusion raw data. As CT perfusion (CTP) is being assimilated in real-world clinical practice, it is essential to understand the basics of perfusion acquisition, quantification, and interpretation. It is equally important to recognize the common technical and clinical diagnostic challenges of automated CTP including ischemic core and penumbral misclassifications that could result in underestimation or overestimation of the core and penumbra volumes. This review highlights the pitfalls of automated CTP along with practical pearls to address the common challenges. This is particularly tailored to aid the acute stroke clinician who must interpret automated perfusion studies in an emergency setting to make time-dependent treatment decisions for patients with acute ischemic stroke.
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UR - http://www.scopus.com/inward/citedby.url?scp=85074872120&partnerID=8YFLogxK
U2 - 10.1212/WNL.0000000000008481
DO - 10.1212/WNL.0000000000008481
M3 - Review article
C2 - 31636160
AN - SCOPUS:85074872120
SN - 0028-3878
VL - 93
SP - 888
EP - 898
JO - Neurology
JF - Neurology
IS - 20
ER -