Literature DB >> 30777482

Computed tomography perfusion as a predictor of delayed cerebral ischemia and functional outcome in spontaneous subarachnoid hemorrhage: A single center experience.

Isabel Fragata1, Marta Alves2, Ana Luísa Papoila3, Ana Paiva Nunes4, Patrícia Ferreira4, Mariana Diogo1, Nuno Canto-Moreira5, Patrícia Canhão1,6.   

Abstract

BACKGROUND: Computed tomography (CT) perfusion has been studied as a tool to predict delayed cerebral ischemia (DCI) and clinical outcome in spontaneous subarachnoid hemorrhage (SAH). The purpose of the study was to determine whether quantitative CT perfusion performed within 72 hours after admission can predict the occurrence of DCI and clinical outcome as measured with a modified Rankin scale (mRS) at 3 months after ictus.
METHODS: Cerebral perfusion was assessed in a prospective cohort of patients with acute SAH. CT perfusion parameters at <72 h post SAH were quantitatively measured in the main vascular territories and represented as whole-brain means. Spearman rank correlation coefficient and generalized additive regression models for binary outcome were used.
RESULTS: A total of 66 patients underwent CT perfusion at <72 h. Poor clinical grade on admission was correlated with worse cerebral perfusion in all parameters. Multivariable analysis yielded an association of time to peak (TTP; odds ratio (OR) = 0.89; 95% confidence interval (CI): 0.77, 1.02; p = 0.083) with the occurrence of DCI. We also found an association of TTP values with poor outcome, with an 8% increase in the odds of mRS > 3 for each one second increase in TTP at admission (OR = 1.08; 95% CI: 1.00, 1.17; p = 0.061).
CONCLUSIONS: We identified an association of early TTP changes with DCI and poor clinical outcome. However, there were no associations with cerebral blood flow or mean transit time and DCI/clinical outcome. CT perfusion still remains to be validated as a tool in predicting outcome in SAH.

Entities:  

Keywords:  CT perfusion; Spontaneous SAH; prognosis

Mesh:

Substances:

Year:  2019        PMID: 30777482      PMCID: PMC6512206          DOI: 10.1177/1971400919829048

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  47 in total

1.  Prediction of symptomatic vasospasm after subarachnoid hemorrhage: the modified fisher scale.

Authors:  Jennifer A Frontera; Jan Claassen; J Michael Schmidt; Katja E Wartenberg; Richard Temes; E Sander Connolly; R Loch MacDonald; Stephan A Mayer
Journal:  Neurosurgery       Date:  2006-07       Impact factor: 4.654

Review 2.  Prediction of cerebral vasospasm in patients presenting with aneurysmal subarachnoid hemorrhage: a review.

Authors:  Christopher G Harrod; Bernard R Bendok; H Hunt Batjer
Journal:  Neurosurgery       Date:  2005-04       Impact factor: 4.654

3.  A standardized method of generating time-to-peak perfusion maps in dynamic-susceptibility contrast-enhanced MR imaging.

Authors:  C Nasel; A Azizi; A Veintimilla; R Mallek; E Schindler
Journal:  AJNR Am J Neuroradiol       Date:  2000-08       Impact factor: 3.825

4.  Health outcomes 1 year after subarachnoid hemorrhage: An international population-based study. The Australian Cooperative Research on Subarachnoid Hemorrhage Study Group.

Authors:  M L Hackett; C S Anderson
Journal:  Neurology       Date:  2000-09-12       Impact factor: 9.910

5.  Monitoring cerebral perfusion after subarachnoid hemorrhage using CT.

Authors:  D G Nabavi; L M LeBlanc; B Baxter; D H Lee; A J Fox; S P Lownie; G G Ferguson; R A Craen; A W Gelb; T Y Lee
Journal:  Neuroradiology       Date:  2001-01       Impact factor: 2.804

6.  CT after subarachnoid hemorrhage: relation of cerebral perfusion to delayed cerebral ischemia.

Authors:  I van der Schaaf; M J Wermer; Y van der Graaf; R G Hoff; G J E Rinkel; B K Velthuis
Journal:  Neurology       Date:  2006-05-23       Impact factor: 9.910

7.  Early vasospasm on admission angiography in patients with aneurysmal subarachnoid hemorrhage is a predictor for in-hospital complications and poor outcome.

Authors:  Maria E Baldwin; R Loch Macdonald; Dezheng Huo; Roberta L Novakovic; Roberta L Novakovia; Fernando D Goldenberg; Jeffrey I Frank; Axel J Rosengart
Journal:  Stroke       Date:  2004-10-07       Impact factor: 7.914

8.  Prognostic factors for outcome in patients with aneurysmal subarachnoid hemorrhage.

Authors:  Axel J Rosengart; Kim E Schultheiss; Jocelyn Tolentino; R Loch Macdonald
Journal:  Stroke       Date:  2007-06-14       Impact factor: 7.914

9.  CT perfusion predicts secondary cerebral infarction after aneurysmal subarachnoid hemorrhage.

Authors:  M Pham; A Johnson; A J Bartsch; C Lindner; W Müllges; K Roosen; L Solymosi; M Bendszus
Journal:  Neurology       Date:  2007-08-21       Impact factor: 9.910

10.  Difference in tracer delay-induced effect among deconvolution algorithms in CT perfusion analysis: quantitative evaluation with digital phantoms.

Authors:  Kohsuke Kudo; Makoto Sasaki; Kuniaki Ogasawara; Satoshi Terae; Shigeru Ehara; Hiroki Shirato
Journal:  Radiology       Date:  2009-02-03       Impact factor: 11.105

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  3 in total

1.  Small vessel disease in patients with subarachnoid hemorrhage: Prevalence and associations with vasospasm occurrence, severity and clinical outcomes.

Authors:  Adrien Villain; Grégoire Boulouis; Wagih Ben Hassen; Christine Rodriguez-Regent; Denis Trystram; Myriam Edjlali; François Nataf; Xavier Sauvageon; Tarek Sharshar; Jean F Meder; Catherine Oppenheim; Olivier Naggara
Journal:  Neuroradiol J       Date:  2019-09-30

Review 2.  The value of early CT perfusion parameters for predicting delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.

Authors:  Heze Han; Yu Chen; Runting Li; Fa Lin; Junlin Lu; Xiaolin Chen; Shuo Wang
Journal:  Neurosurg Rev       Date:  2022-04-04       Impact factor: 2.800

Review 3.  An international bibliometric study of scientific articles on intracranial aneurysms.

Authors:  Murat Kiraz; Emre Demir; Ömer Özdemir
Journal:  Neuroradiol J       Date:  2021-04-29
  3 in total

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