Literature DB >> 32232165

Diagnostic accuracy of computed tomography perfusion in the prediction of haemorrhagic transformation and patient outcome in acute ischaemic stroke: A systematic review and meta-analysis.

Olushola D Adebayo1,2, Gary Culpan2.   

Abstract

PURPOSE: The aim of this systematic review and meta-analysis is to determine the diagnostic accuracy of computed tomography brain perfusion in the prediction of haemorrhagic transformation and patient outcome in acute ischaemic stroke.
METHOD: Electronic databases and grey literature published over the last 10 years related to healthcare and radiology were searched using the key terms: 'computed tomography perfusion', 'haemorrhagic transformation', 'acute ischaemic stroke', 'functional outcome' and their synonyms using both UK and American spellings. Inclusion criteria were: sample size at least 30 patients, original research, evaluate ability of computed tomography perfusion to predict haemorrhagic transformation, reports diagnostic accuracy or provide relevant data for a 2 × 2 contingency table, use follow-up non-contrast computed tomography (NCCT) or magnetic resonance imaging as reference standard.
FINDINGS: Twelve studies were included in the review; studies cover a total of 808 patients. Haemorrhagic transformation occurred in 30.2% of patients. Pooled sensitivity and specificity were 85.9% (95% CI; 65-97%), 73.9% (95% CI; 45-92%) and accuracy of 79.1% (95% CI; 57-98%). Pooled NPV was 92.9% with a high false positive rate (19.8%), which could be explained in terms of outcome classification, acquisition artefact and computed tomography perfusion processing algorithms. DISCUSSION: This review evaluated the importance of using pre-defined threshold measurement for optimal prediction of HT, the relevance of patient pre-treatment clinical parameters to HT occurrence, the CTP parameters and the measurements that are independent predictors of HT, the significance of rtPA rather as an exacerbator of HT and the impact of both minor and major HT/PH on patient 20 functional outcome.
CONCLUSION: Computed tomography perfusion has a high sensitivity and moderately high specificity for prediction of haemorrhagic transformation in acute ischaemic stroke. Pre-treatment clinical decision making requires consideration of clinical factors in addition to imaging findings. This systematic review and meta-analysis highlights that pre-treatment computed tomography perfusion adds to clinical confidence by predicting potential for haemorrhage, both in thrombolysed and un-thrombolysed patients, and also influences decisions about alternative treatments for acute ischaemic stroke patients. © European Stroke Organisation 2019.

Entities:  

Keywords:  Haemorrhagic transformation; acute ischaemic stroke; computed tomography perfusion; functional outcome; sensitivity; specificity

Year:  2019        PMID: 32232165      PMCID: PMC7092740          DOI: 10.1177/2396987319883461

Source DB:  PubMed          Journal:  Eur Stroke J        ISSN: 2396-9873


  38 in total

1.  Relationship between apparent diffusion coefficient and subsequent hemorrhagic transformation following acute ischemic stroke.

Authors:  D C Tong; A Adami; M E Moseley; M P Marks
Journal:  Stroke       Date:  2000-10       Impact factor: 7.914

2.  Optimal duration of acquisition for dynamic perfusion CT assessment of blood-brain barrier permeability using the Patlak model.

Authors:  J Hom; J W Dankbaar; T Schneider; S-C Cheng; J Bredno; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2009-04-15       Impact factor: 3.825

Review 3.  Theoretic basis and technical implementations of CT perfusion in acute ischemic stroke, part 2: technical implementations.

Authors:  A A Konstas; G V Goldmakher; T-Y Lee; M H Lev
Journal:  AJNR Am J Neuroradiol       Date:  2009-03-19       Impact factor: 3.825

4.  Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features.

Authors:  Fabien Scalzo; Jeffry R Alger; Xiao Hu; Jeffrey L Saver; Krishna A Dani; Keith W Muir; Andrew M Demchuk; Shelagh B Coutts; Marie Luby; Steven Warach; David S Liebeskind
Journal:  Magn Reson Imaging       Date:  2013-04-13       Impact factor: 2.546

5.  Association of CT perfusion parameters with hemorrhagic transformation in acute ischemic stroke.

Authors:  A R Jain; M Jain; A R Kanthala; D Damania; L G Stead; H Z Wang; B S Jahromi
Journal:  AJNR Am J Neuroradiol       Date:  2013-04-18       Impact factor: 3.825

6.  Computed tomography workup of patients suspected of acute ischemic stroke: perfusion computed tomography adds value compared with clinical evaluation, noncontrast computed tomography, and computed tomography angiogram in terms of predicting outcome.

Authors:  Guangming Zhu; Patrik Michel; Amin Aghaebrahim; James T Patrie; Wenjun Xin; Ashraf Eskandari; Weiwei Zhang; Max Wintermark
Journal:  Stroke       Date:  2013-02-12       Impact factor: 7.914

7.  Optimal sequence timing of CT angiography and perfusion CT in patients with stroke.

Authors:  D Morhard; C D Wirth; M F Reiser; G Schulte-Altedorneburg; B Ertl-Wagner
Journal:  Eur J Radiol       Date:  2013-02-08       Impact factor: 3.528

8.  Prediction of outcome in patients with suspected acute ischaemic stroke with CT perfusion and CT angiography: the Dutch acute stroke trial (DUST) study protocol.

Authors:  Tom van Seeters; Geert Jan Biessels; Irene C van der Schaaf; Jan Willem Dankbaar; Alexander D Horsch; Merel J A Luitse; Joris M Niesten; Willem P T M Mali; L Jaap Kappelle; Yolanda van der Graaf; Birgitta K Velthuis
Journal:  BMC Neurol       Date:  2014-02-25       Impact factor: 2.474

9.  Initial 'TTP Map-Defect' of Computed Tomography Perfusion as a Predictor of Hemorrhagic Transformation of Acute Ischemic Stroke.

Authors:  Mizuya Shinoyama; Jyoji Nakagawara; Hiroshi Yoneda; Michiyasu Suzuki; Hidetoshi Ono; Ichiro Kunitsugu; Kenji Kamiyama; Toshiaki Osato; Hirohiko Nakamura
Journal:  Cerebrovasc Dis Extra       Date:  2013-02-13

10.  Automated versus manual post-processing of perfusion-CT data in patients with acute cerebral ischemia: influence on interobserver variability.

Authors:  Bruno P Soares; Jan Willem Dankbaar; Joerg Bredno; SuChun Cheng; Sumail Bhogal; William P Dillon; Max Wintermark
Journal:  Neuroradiology       Date:  2009-03-10       Impact factor: 2.804

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  7 in total

Review 1.  Neuroinflammation, Stroke, Blood-Brain Barrier Dysfunction, and Imaging Modalities.

Authors:  Eduardo Candelario-Jalil; Rick M Dijkhuizen; Tim Magnus
Journal:  Stroke       Date:  2022-04-07       Impact factor: 10.170

2.  Radiological predictors of hemorrhagic transformation after acute ischemic stroke: An evidence-based analysis.

Authors:  Nada Elsaid; Wessam Mustafa; Ahmed Saied
Journal:  Neuroradiol J       Date:  2020-01-23

Review 3.  Intracranial Bleeding After Reperfusion Therapy in Acute Ischemic Stroke.

Authors:  Guillaume Charbonnier; Louise Bonnet; Alessandra Biondi; Thierry Moulin
Journal:  Front Neurol       Date:  2021-02-09       Impact factor: 4.003

4.  Blood-Brain Barrier Disruption and Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis.

Authors:  Francesco Arba; Chiara Rinaldi; Danilo Caimano; Federica Vit; Giorgio Busto; Enrico Fainardi
Journal:  Front Neurol       Date:  2021-01-21       Impact factor: 4.003

Review 5.  Pathophysiology of Blood-Brain Barrier Permeability Throughout the Different Stages of Ischemic Stroke and Its Implication on Hemorrhagic Transformation and Recovery.

Authors:  Sara Bernardo-Castro; João André Sousa; Ana Brás; Carla Cecília; Bruno Rodrigues; Luciano Almendra; Cristina Machado; Gustavo Santo; Fernando Silva; Lino Ferreira; Isabel Santana; João Sargento-Freitas
Journal:  Front Neurol       Date:  2020-12-09       Impact factor: 4.003

Review 6.  Devil or angel: two roles of carbon monoxide in stroke.

Authors:  Bing Li; Jian Xiong; Hui-Xiang Liu; Di Li; Gang Chen
Journal:  Med Gas Res       Date:  2022 Oct-Dec

7.  Predictive accuracy of an ADC map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy.

Authors:  Huan Liu; Tianxiao Li; Yonghong Ding; Liangfu Zhu; Ferdinand K Hui; Tengfei Zhou; Juha Antero Hernesniemi; Yanyan He; Yingkun He
Journal:  Ann Transl Med       Date:  2022-05
  7 in total

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