Association of CT Perfusion Parameters with Hemorrhagic Transformation in Acute Ischemic Stroke

A.R. Jain; M. Jain; A.R. Kanthala; D. Damania; L.G. Stead; H.Z. Wang; B.S. Jahromi

doi:10.3174/ajnr.A3502

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Association of CT Perfusion Parameters with Hemorrhagic Transformation in Acute Ischemic Stroke

A.R. Jain, M. Jain, A.R. Kanthala, D. Damania, L.G. Stead, H.Z. Wang and B.S. Jahromi

American Journal of Neuroradiology October 2013, 34 (10) 1895-1900; DOI: https://doi.org/10.3174/ajnr.A3502

A.R. Jain

aFrom the Departments of Neurosurgery (A.R.J., M.J., A.R.K., D.D., B.S.J.)

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M. Jain

aFrom the Departments of Neurosurgery (A.R.J., M.J., A.R.K., D.D., B.S.J.)

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A.R. Kanthala

aFrom the Departments of Neurosurgery (A.R.J., M.J., A.R.K., D.D., B.S.J.)

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D. Damania

aFrom the Departments of Neurosurgery (A.R.J., M.J., A.R.K., D.D., B.S.J.)

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L.G. Stead

cDepartments of Emergency Medicine and Neurological Surgery (LG.S.), University of Florida College of Medicine, Gainesville, Florida.

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H.Z. Wang

bImaging Sciences (H.Z.W.), University of Rochester Medical Center, Rochester, New York

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B.S. Jahromi

aFrom the Departments of Neurosurgery (A.R.J., M.J., A.R.K., D.D., B.S.J.)

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Article Information

vol. 34 no. 10 1895-1900

DOI

https://doi.org/10.3174/ajnr.A3502

PubMed

23598828

Published By

American Journal of Neuroradiology

Print ISSN

0195-6108

Online ISSN

1936-959X

History

Received May 18, 2012
Accepted after revision December 16, 2012
Published online October 8, 2013.

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Latest version (April 18, 2013 - 12:29).
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Author Information

A.R. Jaina,
M. Jaina,
A.R. Kanthalaa,
D. Damaniaa,
L.G. Steadc,
H.Z. Wangb and
B.S. Jahromia

^aFrom the Departments of Neurosurgery (A.R.J., M.J., A.R.K., D.D., B.S.J.)
^bImaging Sciences (H.Z.W.), University of Rochester Medical Center, Rochester, New York
^cDepartments of Emergency Medicine and Neurological Surgery (LG.S.), University of Florida College of Medicine, Gainesville, Florida.

Please address correspondence to Minal Jain, MBBS, MPH, Department of Neurosurgery, University of Rochester, 601 Elmwood Ave, Box 670, Rochester NY 14642; e-mail: minal_jain{at}urmc.rochester.edu

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Association of CT Perfusion Parameters with Hemorrhagic Transformation in Acute Ischemic Stroke

A.R. Jain, M. Jain, A.R. Kanthala, D. Damania, L.G. Stead, H.Z. Wang, B.S. Jahromi

American Journal of Neuroradiology Oct 2013, 34 (10) 1895-1900; DOI: 10.3174/ajnr.A3502

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Association of CT Perfusion Parameters with Hemorrhagic Transformation in Acute Ischemic Stroke

A.R. Jain, M. Jain, A.R. Kanthala, D. Damania, L.G. Stead, H.Z. Wang, B.S. Jahromi

American Journal of Neuroradiology Oct 2013, 34 (10) 1895-1900; DOI: 10.3174/ajnr.A3502

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Optimal thresholds for ischemic penumbra predicted by computed tomography perfusion in patients with acute ischemic stroke treated with mechanical thrombectomy
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Permeability Surface of Deep Middle Cerebral Artery Territory on Computed Tomographic Perfusion Predicts Hemorrhagic Transformation After Stroke
Correlation between cerebral blood volume values and outcomes in endovascular therapy for acute ischemic stroke
Contribution and Additional Impact of Imaging to the SPAN-100 Score

Scopus (22)
Crossref (14)
Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Correlation between cerebral blood volume values and outcomes in endovascular therapy for acute ischemic stroke

Maxim Mokin, Simon Morr, Andrew A Fanous, Hussain Shallwani, Sabareesh K Natarajan, Elad I Levy, Kenneth V Snyder, Adnan H Siddiqui

Journal of NeuroInterventional Surgery 2015 7 10
Collateral blood vessels in acute ischemic stroke: a physiological window to predict future outcomes

Heitor Castelo Branco Rodrigues Alves, Felipe Torres Pacheco, Antonio J. Rocha

Arquivos de Neuro-Psiquiatria 2016 74 8
Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment

Marina Padroni, Andrea Bernardoni, Carmine Tamborino, Gloria Roversi, Massimo Borrelli, Andrea Saletti, Alessandro De Vito, Cristiano Azzini, Luca Borgatti, Onofrio Marcello, Christopher d’Esterre, Stefano Ceruti, Ilaria Casetta, Ting-Yim Lee, Enrico Fainardi, Alice Y. W. Chang

PLOS ONE 2016 11 1
Brain hemorrhage after endovascular reperfusion therapy of ischemic stroke: a threshold-finding whole-brain perfusion CT study

Arturo Renú, Carlos Laredo, Raúl Tudela, Xabier Urra, Antonio Lopez-Rueda, Laura Llull, Laura Oleaga, Sergio Amaro, Ángel Chamorro

Journal of Cerebral Blood Flow & Metabolism 2017 37 1
Comparative accuracy of CT perfusion in diagnosing acute ischemic stroke: A systematic review of 27 trials

Jiantong Shen, Xianglian Li, Youping Li, Bing Wu, Jean-Claude Baron

PLOS ONE 2017 12 5
Contribution and Additional Impact of Imaging to the SPAN-100 Score

P. Krishnan, G. Saposnik, B. Ovbiagele, L. Zhang, S. Symons, R. Aviv

American Journal of Neuroradiology 2015 36 4
Higher Left Ventricle Mass Indices Predict Favorable Outcome in Stroke Patients with Thrombolysis

Fei Wu, Wenjie Cao, Yifeng Ling, Lumeng Yang, Xin Cheng, Qiang Dong

Journal of Stroke and Cerebrovascular Diseases 2015 24 7
Computed Tomography Perfusion Alberta Stroke Program Early Computed Tomography Score Is Associated with Hemorrhagic Transformation after Acute Cardioembolic Stroke

Lan Liu, Bo Wu, Jinglong Zhao, Yanyan Cao, Nikita Dedhia, Louis R. Caplan, Qiaoshu Wang

Frontiers in Neurology 2017 8
Computed Tomography Perfusion Derived Blood-Brain Barrier Permeability Does Not Yet Improve Prediction of Hemorrhagic Transformation

Alexander D. Horsch, Edwin Bennink, Tom van Seeters, L. Jaap Kappelle, Yolanda van der Graaf, Willem P.T.M. Mali, Hugo W.A.M. de Jong, Birgitta K. Velthuis, Jan Willem Dankbaar

Cerebrovascular Diseases 2018 45 1-2
Focal Low and Global High Permeability Predict the Possibility, Risk, and Location of Hemorrhagic Transformation following Intra-Arterial Thrombolysis Therapy in Acute Stroke

Y. Li, Y. Xia, H. Chen, N. Liu, A. Jackson, M. Wintermark, Y. Zhang, J. Hu, B. Wu, W. Zhang, J. Tu, Z. Su, G. Zhu

American Journal of Neuroradiology 2017 38 9

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