Literature DB >> 18583410

Systematic review of CT and MR perfusion imaging for assessment of acute cerebrovascular disease.

J M Provenzale1, K Shah, U Patel, D C McCrory.   

Abstract

BACKGROUND AND
PURPOSE: Perfusion imaging sequences are an important part of imaging studies designed to provide information to guide therapy for treatment of cerebrovascular disease. The purpose of this study was to perform a meta-analysis of the medical literature on perfusion imaging to determine its role in clinical decision making for patients with acute cerebral ischemia.
MATERIALS AND METHODS: We searched MEDLINE by using a strategy that combined terms related to perfusion imaging with terms related to acute cerebral ischemia and brain tumors. We identified 658 perfusion imaging articles and classified them according to the clinical usefulness criteria of Thornbury and Fryback. We found 59 articles with promise of indicating usefulness in clinical decision making. We devised and implemented a clinical decision making scoring scale more appropriate to the topic of acute cerebral ischemia.
RESULTS: Several articles provided important insights into the physiologic processes underlying acute cerebral ischemia by correlation of initial perfusion imaging deficits with clinical outcome or ultimate size of the infarct. However, most articles showed relatively low relevance to influencing decisions in implementing treatment.
CONCLUSION: Most perfusion imaging articles are oriented toward important topics such as optimization of imaging parameters, determination of ischemia penumbra, and prediction of outcome. However, information as to the role of perfusion imaging in clinical decision making is lacking. Studies are needed to demonstrate that use of perfusion imaging changes outcome of patients with acute cerebral ischemia.

Entities:  

Mesh:

Year:  2008        PMID: 18583410      PMCID: PMC8119039          DOI: 10.3174/ajnr.A1161

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


  60 in total

1.  The efficacy of diagnostic imaging.

Authors:  D G Fryback; J R Thornbury
Journal:  Med Decis Making       Date:  1991 Apr-Jun       Impact factor: 2.583

2.  Prognostic value of perfusion- and diffusion-weighted MR imaging in first 3 days of stroke.

Authors:  M Kluytmans; K J van Everdingen; L J Kappelle; L M Ramos; M A Viergever; J van der Grond
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

3.  Hyperacute stroke: ultrafast MR imaging to triage patients prior to therapy.

Authors:  J L Sunshine; R W Tarr; C F Lanzieri; D M Landis; W R Selman; J S Lewin
Journal:  Radiology       Date:  1999-08       Impact factor: 11.105

4.  Identification of penumbra and infarct in acute ischemic stroke using computed tomography perfusion-derived blood flow and blood volume measurements.

Authors:  B D Murphy; A J Fox; D H Lee; D J Sahlas; S E Black; M J Hogan; S B Coutts; A M Demchuk; M Goyal; R I Aviv; S Symons; I B Gulka; V Beletsky; D Pelz; V Hachinski; R Chan; T-Y Lee
Journal:  Stroke       Date:  2006-06-08       Impact factor: 7.914

5.  Systematic comparison of perfusion-CT and CT-angiography in acute stroke patients.

Authors:  Jessica C Tan; William P Dillon; Songling Liu; Felix Adler; Wade S Smith; Max Wintermark
Journal:  Ann Neurol       Date:  2007-06       Impact factor: 10.422

6.  Perfusion-weighted magnetic resonance imaging thresholds identifying core, irreversibly infarcted tissue.

Authors:  Ludy C Shih; Jeffrey L Saver; Jeffry R Alger; Sidney Starkman; Megan C Leary; Fernando Vinuela; Gary Duckwiler; Y Pierre Gobin; Reza Jahan; J Pablo Villablanca; Paul M Vespa; Chelsea S Kidwell
Journal:  Stroke       Date:  2003-05-08       Impact factor: 7.914

7.  Perfusion thresholds in acute stroke thrombolysis.

Authors:  K Butcher; M Parsons; T Baird; A Barber; G Donnan; P Desmond; B Tress; S Davis
Journal:  Stroke       Date:  2003-07-31       Impact factor: 7.914

8.  Detecting the subregion proceeding to infarction in hypoperfused cerebral tissue: a study with diffusion and perfusion weighted MRI.

Authors:  Y Liu; J O Karonen; R L Vanninen; J Nuutinen; J Perkiö; P A Vainio; S Soimakallio; H J Aronen
Journal:  Neuroradiology       Date:  2003-05-16       Impact factor: 2.804

9.  Differences in the diagnostic accuracy of acute stroke clinical subtypes defined by multimodal magnetic resonance imaging.

Authors:  S J Allder; A R Moody; A L Martel; P S Morgan; G S Delay; J R Gladman; G G Lennox
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-07       Impact factor: 10.154

10.  Prediction of early neurological deterioration using diffusion- and perfusion-weighted imaging in hyperacute middle cerebral artery ischemic stroke.

Authors:  Juan F Arenillas; Alex Rovira; Carlos A Molina; Elisenda Grivé; Joan Montaner; José Alvarez-Sabín
Journal:  Stroke       Date:  2002-09       Impact factor: 7.914

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  13 in total

1.  VOXEL-LEVEL MAPPING OF TRACER KINETICS IN PET STUDIES: A STATISTICAL APPROACH EMPHASIZING TISSUE LIFE TABLES.

Authors:  Finbarr O'Sullivan; Mark Muzi; David A Mankoff; Janet F Eary; Alexander M Spence; Kenneth A Krohn
Journal:  Ann Appl Stat       Date:  2014-06-01       Impact factor: 2.083

2.  Standardization of Stroke Perfusion CT for Reperfusion Therapy.

Authors:  Guangming Zhu; Patrik Michel; Weiwei Zhang; Max Wintermark
Journal:  Transl Stroke Res       Date:  2012-03-28       Impact factor: 6.829

Review 3.  Imaging-based treatment selection for intravenous and intra-arterial stroke therapies: a comprehensive review.

Authors:  Albert J Yoo; Benjamin Pulli; R Gilberto Gonzalez
Journal:  Expert Rev Cardiovasc Ther       Date:  2011-07

4.  Acute damage to the posterior limb of the internal capsule on diffusion tensor tractography as an early imaging predictor of motor outcome after stroke.

Authors:  J Puig; S Pedraza; G Blasco; J Daunis-I-Estadella; F Prados; S Remollo; A Prats-Galino; G Soria; I Boada; M Castellanos; J Serena
Journal:  AJNR Am J Neuroradiol       Date:  2011-04-07       Impact factor: 3.825

5.  Can CT angiography reconstructed from CT perfusion source data on a 320-section volume CT scanner replace conventional CT angiography for the evaluation of intracranial arteries?

Authors:  Masafumi Kidoh; Toshinori Hirai; Seitaro Oda; Daisuke Utsunomiya; Takayuki Kawano; Shigetoshi Yano; Hideo Nakamura; Keishi Makino; Yasuhiko Iryo; Minako Azuma; Eri Hayashida; Takeshi Nakaura; Yasuyuki Yamashita
Journal:  Jpn J Radiol       Date:  2015-05-08       Impact factor: 2.374

6.  Comparison of 4 cm Z-axis and 16 cm Z-axis multidetector CT perfusion.

Authors:  Mark Page; Dee Nandurkar; Marcus Peter Crossett; Stephen L Stuckey; Kenneth P Lau; Nicholas Kenning; John M Troupis
Journal:  Eur Radiol       Date:  2009-12-16       Impact factor: 5.315

7.  Effects of increased image noise on image quality and quantitative interpretation in brain CT perfusion.

Authors:  K Juluru; J C Shih; A Raj; J P Comunale; H Delaney; E D Greenberg; C Hermann; Y B Liu; A Hoelscher; N Al-Khori; P C Sanelli
Journal:  AJNR Am J Neuroradiol       Date:  2013-04-04       Impact factor: 3.825

Review 8.  Utility of perfusion imaging in acute stroke treatment: a systematic review and meta-analysis.

Authors:  Won Hyung A Ryu; Michael B Avery; Navjit Dharampal; Isabel E Allen; Steven W Hetts
Journal:  J Neurointerv Surg       Date:  2016-11-09       Impact factor: 5.836

Review 9.  Experimental models of brain ischemia: a review of techniques, magnetic resonance imaging, and investigational cell-based therapies.

Authors:  Alessandra Canazza; Ludovico Minati; Carlo Boffano; Eugenio Parati; Sophie Binks
Journal:  Front Neurol       Date:  2014-02-19       Impact factor: 4.003

10.  Is quality and completeness of reporting of systematic reviews and meta-analyses published in high impact radiology journals associated with citation rates?

Authors:  Christian B van der Pol; Matthew D F McInnes; William Petrcich; Adam S Tunis; Ramez Hanna
Journal:  PLoS One       Date:  2015-03-16       Impact factor: 3.240

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