Literature DB >> 21960495

Using quantitative CT perfusion for evaluation of delayed cerebral ischemia following aneurysmal subarachnoid hemorrhage.

P C Sanelli1, I Ugorec, C E Johnson, J Tan, A Z Segal, M Fink, L A Heier, A J Tsiouris, J P Comunale, M John, P E Stieg, R D Zimmerman, A I Mushlin.   

Abstract

BACKGROUND AND
PURPOSE: DCI is a serious complication following aneurysmal SAH leading to permanent neurologic deficits, infarction, and death. Our aim was to prospectively evaluate the diagnostic accuracy of CTP and to determine a quantitative threshold for DCI in aneurysmal SAH.
MATERIALS AND METHODS: Patients with SAH were prospectively enrolled in a protocol approved by the institutional review board. CTP was performed during the typical time period for DCI, between days 6 and 8 following SAH. Quantitative CBF, CBV, and MTT values were obtained by using standard region-of-interest placement sampling of gray matter. The reference standard for DCI is controversial and consisted of clinical and imaging criteria in this study. In a subanalysis of vasospasm, DSA was used as the reference standard. ROC curves determined the diagnostic accuracy by using AUC. Optimal threshold values were calculated by using the patient population utility method.
RESULTS: Ninety-seven patients were included; 41% (40/97) had DCI. Overall diagnostic accuracy was 93% for CBF, 88% for MTT, and 72% for CBV. Optimal threshold values were 35 mL/100 g/min (90% sensitivity, 68% specificity) for CBF and 5.5 seconds (73% sensitivity, 79% specificity) for MTT. In the subanalysis (n = 57), 63% (36/57) had vasospasm. Overall diagnostic accuracy was 94% for CBF, 85% for MTT, and 72% for CBV. Optimal threshold values were 36.5 mL/100 g/min (95% sensitivity, 70% specificity) for CBF and 5.4 seconds (78% sensitivity, 70% specificity) for MTT.
CONCLUSIONS: CBF and MTT have the highest overall diagnostic accuracy. Threshold values of 35 mL/100 g/min for CBF and 5.5-second MTT are suggested for DCI on the basis of the patient population utility method. Absolute threshold values may not be generalizable due to differences in scanner equipment and postprocessing methods.

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Year:  2011        PMID: 21960495      PMCID: PMC3237788          DOI: 10.3174/ajnr.A2693

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  34 in total

1.  User-defined vascular input function curves: influence on mean perfusion parameter values and signal-to-noise ratio.

Authors:  Susan M Kealey; Vilert A Loving; David M Delong; James D Eastwood
Journal:  Radiology       Date:  2004-04-02       Impact factor: 11.105

2.  Global and domain-specific cognitive impairment and outcome after subarachnoid hemorrhage.

Authors:  S A Mayer; K T Kreiter; D Copeland; G L Bernardini; J E Bates; S Peery; J Claassen; Y E Du; E S Connolly
Journal:  Neurology       Date:  2002-12-10       Impact factor: 9.910

3.  MR imaging after aneurysmal subarachnoid hemorrhage and surgery: a long-term follow-up study.

Authors:  R P Kivisaari; O Salonen; A Servo; T Autti; J Hernesniemi; J Ohman
Journal:  AJNR Am J Neuroradiol       Date:  2001 Jun-Jul       Impact factor: 3.825

Review 4.  Quantitative assessment of regional cerebral blood flows by perfusion CT studies at low injection rates: a critical review of the underlying theoretical models.

Authors:  M Wintermark; P Maeder; J P Thiran; P Schnyder; R Meuli
Journal:  Eur Radiol       Date:  2001       Impact factor: 5.315

5.  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

6.  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

7.  Impact of cerebral microcirculatory changes on cerebral blood flow during cerebral vasospasm after aneurysmal subarachnoid hemorrhage.

Authors:  H Ohkuma; H Manabe; M Tanaka; S Suzuki
Journal:  Stroke       Date:  2000-07       Impact factor: 7.914

8.  Haemodynamic and metabolic disturbances in the acute stage of subarachnoid haemorrhage demonstrated by PET.

Authors:  P Frykholm; J L R Andersson; B Långström; L Persson; P Enblad
Journal:  Acta Neurol Scand       Date:  2004-01       Impact factor: 3.209

9.  Early cerebral blood flow and computerized tomography in predicting ischemia after cerebral aneurysm rupture.

Authors:  N W Knuckey; R A Fox; I Surveyor; B A Stokes
Journal:  J Neurosurg       Date:  1985-06       Impact factor: 5.115

10.  Relationship between vasospasm, cerebral perfusion, and delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage.

Authors:  Jan W Dankbaar; Mienke Rijsdijk; Irene C van der Schaaf; Birgitta K Velthuis; Marieke J H Wermer; Gabriel J E Rinkel
Journal:  Neuroradiology       Date:  2009-07-22       Impact factor: 2.804

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  28 in total

1.  Long-term impact of perfusion CT data after subarachnoid hemorrhage.

Authors:  Christian Mathys; Daniel Martens; Dorothea C Reichelt; Julian Caspers; Joel Aissa; Rebecca May; Daniel Hänggi; Gerald Antoch; Bernd Turowski
Journal:  Neuroradiology       Date:  2013-09-13       Impact factor: 2.804

2.  Cerebral vasospasm after aneurysmal subarachnoid hemorrhage and traumatic brain injury.

Authors:  Saef Izzy; Susanne Muehlschlegel
Journal:  Curr Treat Options Neurol       Date:  2014-01       Impact factor: 3.598

3.  Appropriate use of CT perfusion following aneurysmal subarachnoid hemorrhage: a Bayesian analysis approach.

Authors:  R P Killeen; A Gupta; H Delaney; C E Johnson; A J Tsiouris; J Comunale; M E Fink; H S Mangat; A Z Segal; A I Mushlin; P C Sanelli
Journal:  AJNR Am J Neuroradiol       Date:  2013-11-07       Impact factor: 3.825

4.  Dynamic Contrast-Enhanced MRI Reveals Unique Blood-Brain Barrier Permeability Characteristics in the Hippocampus in the Normal Brain.

Authors:  J Ivanidze; M Mackay; A Hoang; J M Chi; K Cheng; C Aranow; B Volpe; B Diamond; P C Sanelli
Journal:  AJNR Am J Neuroradiol       Date:  2019-02-07       Impact factor: 3.825

Review 5.  Blood-brain barrier permeability imaging as a predictor for delayed cerebral ischaemia following subarachnoid haemorrhage. A narrative review.

Authors:  Michael Amoo; Jack Henry; Niall Pender; Paul Brennan; Matthew Campbell; Mohsen Javadpour
Journal:  Acta Neurochir (Wien)       Date:  2021-01-06       Impact factor: 2.216

6.  Statistical properties of cerebral CT perfusion imaging systems. Part I. Cerebral blood volume maps generated from nondeconvolution-based systems.

Authors:  Ke Li; Charles M Strother; Guang-Hong Chen
Journal:  Med Phys       Date:  2019-09-20       Impact factor: 4.071

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

Authors:  Isabel Fragata; Marta Alves; Ana Luísa Papoila; Ana Paiva Nunes; Patrícia Ferreira; Mariana Diogo; Nuno Canto-Moreira; Patrícia Canhão
Journal:  Neuroradiol J       Date:  2019-02-19

8.  Ultra-early Detection of Microcirculatory Injury as Predictor of Developing Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage.

Authors:  Philipp Gölitz; Philip Hoelter; Julie Rösch; Karl Roessler; Frauke Knossalla; Arnd Doerfler
Journal:  Clin Neuroradiol       Date:  2017-08-15       Impact factor: 3.649

9.  Cost-effectiveness of CT angiography and perfusion imaging for delayed cerebral ischemia and vasospasm in aneurysmal subarachnoid hemorrhage.

Authors:  P C Sanelli; A Pandya; A Z Segal; A Gupta; S Hurtado-Rua; J Ivanidze; K Kesavabhotla; D Mir; A I Mushlin; M G M Hunink
Journal:  AJNR Am J Neuroradiol       Date:  2014-05-08       Impact factor: 3.825

10.  Application of Blood-Brain Barrier Permeability Imaging in Global Cerebral Edema.

Authors:  J Ivanidze; O N Kallas; A Gupta; E Weidman; H Baradaran; D Mir; A Giambrone; A Z Segal; J Claassen; P C Sanelli
Journal:  AJNR Am J Neuroradiol       Date:  2016-04-28       Impact factor: 3.825

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