Literature DB >> 35377027

The value of early CT perfusion parameters for predicting delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.

Heze Han1,2, Yu Chen1,2, Runting Li1,2, Fa Lin1,2, Junlin Lu1,2, Xiaolin Chen3,4, Shuo Wang5,6.   

Abstract

Delayed cerebral ischemia (DCI) is a devastating complication of aneurysmal subarachnoid hemorrhage (aSAH). We aim to investigate the efficacy of early CT perfusion (CTP) parameters for predicting DCI in patients with aSAH. The search was conducted in five databases (PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, and China Biology Medicine database). Studies were reviewed by two independent authors, and the included studies were assessed for methodological quality. Fifteen studies with 882 participants were included for the final analysis. The meta-analysis of quantitative parameters showed that mean transit time represented the most valuable predictor when the calculation of the mean value was uniformed (MD 0.30 s, 95% CI: 0.10 to 0.49 s, P = 0.003). Semi-quantitative parameters using relative values or index scores were also widely used to minimize undue variations derived from patients, operators, machines, and software. Studies also demonstrated that these relative parameters had better predictive accuracy than corresponding absolute parameters. Perfusion thresholds in each study were incomparable, and the results warranted further validation. The best threshold for the prediction was 0.9 using the relative cerebral blood flow parameter (sensitivity 97% and specificity 89%). We conclude that CTP in the early phase is a promising tool for predicting DCI in aSAH patients. However, the parameters require standardization. Future studies with prospective, multi-centered design and large sample size are needed to validate the thresholds and optimize the parameters.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Aneurysmal subarachnoid hemorrhage; CT perfusion; Delayed cerebral ischemia; Meta-analysis; Systematic review

Mesh:

Substances:

Year:  2022        PMID: 35377027     DOI: 10.1007/s10143-022-01779-3

Source DB:  PubMed          Journal:  Neurosurg Rev        ISSN: 0344-5607            Impact factor:   2.800


  44 in total

1.  Whole-brain CT perfusion on admission predicts delayed cerebral ischemia following aneurysmal subarachnoid hemorrhage.

Authors:  Lijun Dong; Yunfeng Zhou; Minhong Wang; Chen Yang; Quan Yuan; Xinggen Fang
Journal:  Eur J Radiol       Date:  2019-05-08       Impact factor: 3.528

2.  Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging.

Authors:  Gregory W Albers; Michael P Marks; Stephanie Kemp; Soren Christensen; Jenny P Tsai; Santiago Ortega-Gutierrez; Ryan A McTaggart; Michel T Torbey; May Kim-Tenser; Thabele Leslie-Mazwi; Amrou Sarraj; Scott E Kasner; Sameer A Ansari; Sharon D Yeatts; Scott Hamilton; Michael Mlynash; Jeremy J Heit; Greg Zaharchuk; Sun Kim; Janice Carrozzella; Yuko Y Palesch; Andrew M Demchuk; Roland Bammer; Philip W Lavori; Joseph P Broderick; Maarten G Lansberg
Journal:  N Engl J Med       Date:  2018-01-24       Impact factor: 91.245

3.  Diagnostic threshold values of cerebral perfusion measured with computed tomography for delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage.

Authors:  Jan Willem Dankbaar; Nicolien Karen de Rooij; Mienke Rijsdijk; Birgitta K Velthuis; Catharine J M Frijns; Gabriel J E Rinkel; Irene C van der Schaaf
Journal:  Stroke       Date:  2010-08-05       Impact factor: 7.914

4.  Angiographic vasospasm is strongly correlated with cerebral infarction after subarachnoid hemorrhage.

Authors:  R Webster Crowley; R Medel; Aaron S Dumont; Don Ilodigwe; Neal F Kassell; Stephan A Mayer; Daniel Ruefenacht; Peter Schmiedek; Stephan Weidauer; Alberto Pasqualin; R Loch Macdonald
Journal:  Stroke       Date:  2011-02-24       Impact factor: 7.914

5.  Computed Tomography Perfusion Deficits during the Baseline Period in Aneurysmal Subarachnoid Hemorrhage Are Predictive of Delayed Cerebral Ischemia.

Authors:  Yuxia Duan; Haoli Xu; Rui Li; Kuikui Zheng; Zilong Hu; Nan Wu; Yunjun Yang; Qichuan Zhuge; Weijian Chen
Journal:  J Stroke Cerebrovasc Dis       Date:  2016-10-21       Impact factor: 2.136

6.  Worldwide Incidence of Aneurysmal Subarachnoid Hemorrhage According to Region, Time Period, Blood Pressure, and Smoking Prevalence in the Population: A Systematic Review and Meta-analysis.

Authors:  Nima Etminan; Han-Sol Chang; Katharina Hackenberg; Nicolien K de Rooij; Mervyn D I Vergouwen; Gabriel J E Rinkel; Ale Algra
Journal:  JAMA Neurol       Date:  2019-05-01       Impact factor: 18.302

Review 7.  CT perfusion and delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.

Authors:  Charlotte H P Cremers; Irene C van der Schaaf; Emerens Wensink; Jacoba P Greving; Gabriel J E Rinkel; Birgitta K Velthuis; Mervyn D I Vergouwen
Journal:  J Cereb Blood Flow Metab       Date:  2013-11-27       Impact factor: 6.200

8.  Early perfusion computerized tomography imaging as a radiographic surrogate for delayed cerebral ischemia and functional outcome after subarachnoid hemorrhage.

Authors:  Nima Etminan; Kerim Beseoglu; Hi-Jae Heiroth; Bernd Turowski; Hans Jakob Steiger; Daniel Hänggi
Journal:  Stroke       Date:  2013-03-28       Impact factor: 7.914

9.  Relationship Between Cardiac Dysfunction and Cerebral Perfusion in Patients with Aneurysmal Subarachnoid Hemorrhage.

Authors:  Charlotte H P Cremers; Ivo A C van der Bilt; Irene C van der Schaaf; Mervyn D I Vergouwen; Jan Willem Dankbaar; Maarten J Cramer; Arthur A M Wilde; Gabriel J E Rinkel; Birgitta K Velthuis
Journal:  Neurocrit Care       Date:  2016-04       Impact factor: 3.210

Review 10.  Endovascular options in the treatment of delayed ischemic neurological deficits due to cerebral vasospasm.

Authors:  Christopher S Eddleman; Michael C Hurley; Andrew M Naidech; H Hunt Batjer; Bernard R Bendok
Journal:  Neurosurg Focus       Date:  2009       Impact factor: 4.047

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