Literature DB >> 31636160

Automated CT perfusion imaging for acute ischemic stroke: Pearls and pitfalls for real-world use.

Achala Vagal1, Max Wintermark2, Kambiz Nael2, Andrew Bivard2, Mark Parsons2, Aaron W Grossman2, Pooja Khatri2.   

Abstract

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.
© 2019 American Academy of Neurology.

Entities:  

Year:  2019        PMID: 31636160     DOI: 10.1212/WNL.0000000000008481

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  32 in total

Review 1.  Preserving Access: A Review of Stroke Thrombectomy during the COVID-19 Pandemic.

Authors:  T M Leslie-Mazwi; K M Fargen; M Levitt; C P Derdeyn; S K Feske; A B Patel; J A Hirsch
Journal:  AJNR Am J Neuroradiol       Date:  2020-05-21       Impact factor: 3.825

2.  A Deep Learning-Based Automatic Collateral Assessment in Patients with Acute Ischemic Stroke.

Authors:  Yoon-Chul Kim; Jong-Won Chung; Oh Young Bang; Mihee Hong; Woo-Keun Seo; Gyeong-Moon Kim; Eung Yeop Kim; Jin Soo Lee; Ji Man Hong; David S Liebeskind; Jeffrey L Saver
Journal:  Transl Stroke Res       Date:  2022-05-21       Impact factor: 6.829

3.  Interobserver Reliability on Intravoxel Incoherent Motion Imaging in Patients with Acute Ischemic Stroke.

Authors:  K Yamashita; R Kamei; H Sugimori; T Kuwashiro; S Tokunaga; K Kawamata; K Furuya; S Harada; J Maehara; Y Okada; T Noguchi
Journal:  AJNR Am J Neuroradiol       Date:  2022-04-21       Impact factor: 3.825

4.  Use of CTA Test Dose to Trigger a Low Cardiac Output Protocol Improves Acute Stroke CTP Data Analyzed with RAPID Software.

Authors:  J B Hartman; S Moran; C Zhu; J Sharp; D S Hippe; D A Zamora; M Mossa-Basha
Journal:  AJNR Am J Neuroradiol       Date:  2022-02-17       Impact factor: 3.825

5.  CTP: Time for Patient-Tailored Acquisition Protocols.

Authors:  J Molad
Journal:  AJNR Am J Neuroradiol       Date:  2022-02-24       Impact factor: 3.825

6.  Artificial Intelligence in "Code Stroke"-A Paradigm Shift: Do Radiologists Need to Change Their Practice?

Authors:  Achala Vagal; Luca Saba
Journal:  Radiol Artif Intell       Date:  2022-01-19

7.  Comparison of multimodal CT scan protocols used for decision-making on mechanical thrombectomy in acute ischemic stroke.

Authors:  Rujimas Khumtong; Timo Krings; Vitor M Pereira; Aleksandra Pikula; Joanna D Schaafsma
Journal:  Neuroradiology       Date:  2020-01-04       Impact factor: 2.804

8.  CTA Protocols in a Telestroke Network Improve Efficiency for Both Spoke and Hub Hospitals.

Authors:  A T Yu; R W Regenhardt; C Whitney; L H Schwamm; A B Patel; C J Stapleton; A Viswanathan; J A Hirsch; M Lev; T M Leslie-Mazwi
Journal:  AJNR Am J Neuroradiol       Date:  2021-02-04       Impact factor: 3.825

9.  Correlation of Alberta Stroke Program Early Computed Tomography Score With Computed Tomography Perfusion Core in Large Vessel Occlusion in Delayed Time Windows.

Authors:  Sriharsha Voleti; Johnathan Vidovich; Brendan Corcoran; Bin Zhang; Vivek Khandwala; Eva A Mistry; Pooja Khatri; Thomas Tomsick; Achala Vagal
Journal:  Stroke       Date:  2021-01-07       Impact factor: 7.914

10.  CT Perfusion: More Than What You Thought.

Authors:  J Molad
Journal:  AJNR Am J Neuroradiol       Date:  2021-01       Impact factor: 3.825

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