scholarly journals Systematic Review of Perfusion Imaging With Computed Tomography and Magnetic Resonance in Acute Ischemic Stroke: Heterogeneity of Acquisition and Postprocessing Parameters

Stroke ◽  
2012 ◽  
Vol 43 (2) ◽  
pp. 563-566 ◽  
Author(s):  
Krishna A. Dani ◽  
Ralph G.R. Thomas ◽  
Francesca M. Chappell ◽  
Kirsten Shuler ◽  
Keith W. Muir ◽  
...  
2021 ◽  
pp. 028418512110358
Author(s):  
Anubhav Katyal ◽  
Sonu Menachem Maimonides Bhaskar

Background Computed tomography perfusion (CTP) imaging has emerged as an important adjunct to the current armamentarium of acute ischemic stroke (AIS) workflow. However, its adoption in routine clinical practice is far from optimal. Purpose To investigate the putative association of CTP imaging biomarkers in the assessment of prognosis in acute ischemic stroke. Material and Methods We performed a systematic review of the literature using MEDLINE, EMBASE, and Cochrane Central Register of Clinical Trials focusing on CTP biomarkers, tissue-based and clinical-based patient outcomes. We included randomized controlled trials, prospective cohort studies, and case-controlled studies published from January 2005 to 28 August 2020. Two independent reviewers conducted the study appraisal, data extraction, and quality assessment of the studies. Results A total of 60 full-text studies were included in the final systematic review analysis. Increasing infarct core volume is associated with reduced odds of achieving functional independence (modified Rankin score 0–2) at 90 days and is correlated with the final infarct volume when reperfusion is achieved. Conclusion CTP has value in assessing tissue perfusion status in the hyperacute stroke setting and the long-term clinical prognosis of patients with AIS receiving reperfusion therapy. However, the prognostic use of CTP requires optimization and further validation.


2019 ◽  
Vol 61 (12) ◽  
pp. 1457-1468 ◽  
Author(s):  
Ernst L. Stille ◽  
Ilaria Viozzi ◽  
Mark ter Laan ◽  
Frederick J.A. Meijer ◽  
Jurgen J. Futterer ◽  
...  

Abstract Purpose Flat-panel computed tomography (FP-CT) is increasingly available in angiographic rooms and hybrid OR’s. Considering its easy access, cerebral imaging using FP-CT is an appealing modality for intra-procedural applications. The purpose of this systematic review is to assess the diagnostic accuracy of FP-CT compared with perfusion computed tomography (CTP) and perfusion magnetic resonance (MRP) in cerebral perfusion imaging. Methods We performed a systematic literature search in the Cochrane Library, MEDLINE, Embase, and Web of Science up to June 2019 for studies directly comparing FP-CT with either CTP or MRP in vivo. Methodological quality was assessed using the QUADAS-2 tool. Data on diagnostic accuracy was extracted and pooled if possible. Results We found 11 studies comparing FP-CT with CTP and 5 studies comparing FP-CT with MRP. Most articles were pilot or feasibility studies, focusing on scanning and contrast protocols. All patients studied showed signs of cerebrovascular disease. Half of the studies were animal trials. Quality assessment showed unclear to high risks of bias and low concerns regarding applicability. Five studies reported on diagnostic accuracy; FP-CT shows good sensitivity (range 0.84–1.00) and moderate specificity (range 0.63–0.88) in detecting cerebral blood volume (CBV) lesions. Conclusions Even though FP-CT provides similar CBV values and reconstructed blood volume maps as CTP in cerebrovascular disease, additional studies are required in order to reliably compare its diagnostic accuracy with cerebral perfusion imaging.


Stroke ◽  
2000 ◽  
Vol 31 (3) ◽  
pp. 680-687 ◽  
Author(s):  
Julio A. Chalela ◽  
David C. Alsop ◽  
Julio B. Gonzalez-Atavales ◽  
Joseph A. Maldjian ◽  
Scott E. Kasner ◽  
...  

2011 ◽  
Vol 70 (3) ◽  
pp. 384-401 ◽  
Author(s):  
Krishna A. Dani ◽  
Ralph G.R. Thomas ◽  
Francesca M. Chappell ◽  
Kirsten Shuler ◽  
Mary J. MacLeod ◽  
...  

Stroke ◽  
2019 ◽  
Vol 50 (3) ◽  
pp. 659-664 ◽  
Author(s):  
Corentin Provost ◽  
Marc Soudant ◽  
Laurence Legrand ◽  
Wagih Ben Hassen ◽  
Yu Xie ◽  
...  

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