Literature DB >> 30168180

Hypoperfusion ratio predicts infarct growth during transfer for thrombectomy.

Adrien Guenego1, Michael Mlynash1, Soren Christensen1, Stephanie Kemp1, Jeremy J Heit2, Maarten G Lansberg1, Gregory W Albers1.   

Abstract

We hypothesized that automated assessment of collaterals on computed tomography perfusion can predict the rate of infarct growth during transfer from a primary to a comprehensive stroke center for endovascular stroke treatment. We identified consecutive patients (N = 28) and assessed their collaterals based on the hypoperfusion intensity ratio (HIR) prior to transfer. Infarct growth rate was strongly correlated with HIR (r = 0.78, p < 0.001). Receiver operating characteristic analysis identified HIR ≥ 0.5 as optimal for predicting infarct growth. Patients with HIR ≥ 0.5 had a median infarct growth rate of 10.1ml/h (interquartile range [IQR] = 6.4-18.4) compared with 0.9ml/h (IQR = 0-2.8; p < 0.001) in patients with HIR < 0.5. Patients with HIR ≥ 0.5 had an 83% probability of significant core growth, whereas patients with HIR < 0.5 had an 88% probability of core stability. These preliminary data have the potential to guide decision making regarding whether repeat brain imaging should be performed after transfer to a comprehensive stroke center. Ann Neurol 2018;84:616-620.
© 2018 American Neurological Association.

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Year:  2018        PMID: 30168180     DOI: 10.1002/ana.25320

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  30 in total

1.  Relationships between brain perfusion and early recanalization after intravenous thrombolysis for acute stroke with large vessel occlusion.

Authors:  Pierre Seners; Guillaume Turc; Stéphanie Lion; Jean-Philippe Cottier; Tae-Hee Cho; Caroline Arquizan; Serge Bracard; Canan Ozsancak; Laurence Legrand; Olivier Naggara; Séverine Debiais; Yves Berthezene; Vincent Costalat; Sébastien Richard; Christophe Magni; Norbert Nighoghossian; Ana-Paula Narata; Cyril Dargazanli; Benjamin Gory; Jean-Louis Mas; Catherine Oppenheim; Jean-Claude Baron
Journal:  J Cereb Blood Flow Metab       Date:  2019-03-19       Impact factor: 6.200

2.  One-Stop Management with Perfusion for Transfer Patients with Stroke due to a Large-Vessel Occlusion: Feasibility and Effects on In-Hospital Times.

Authors:  A Brehm; I Tsogkas; I L Maier; H J Eisenberger; P Yang; J-M Liu; J Liman; M-N Psychogios
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-11       Impact factor: 3.825

3.  Outcomes of Thrombectomy in Transferred Patients With Ischemic Stroke in the Late Window: A Subanalysis From the DEFUSE 3 Trial.

Authors:  Amrou Sarraj; Michael Mlynash; Sean I Savitz; Jeremy J Heit; Maarten G Lansberg; Michael P Marks; Gregory W Albers
Journal:  JAMA Neurol       Date:  2019-06-01       Impact factor: 18.302

4.  Effect of computed tomography perfusion post-processing algorithms on optimal threshold selection for final infarct volume prediction.

Authors:  Ryan A Rava; Kenneth V Snyder; Maxim Mokin; Muhammad Waqas; Ariana B Allman; Jillian L Senko; Alexander R Podgorsak; Mohammad Mahdi Shiraz Bhurwani; Jason M Davies; Elad I Levy; Adnan H Siddiqui; Ciprian N Ionita
Journal:  Neuroradiol J       Date:  2020-06-23

5.  Proposed achievable levels of dose and impact of dose-reduction systems for thrombectomy in acute ischemic stroke: an international, multicentric, retrospective study in 1096 patients.

Authors:  Adrien Guenego; Pascal J Mosimann; Vitor Mendes Pereira; Patrick Nicholson; Kevin Zuber; Jean Albert Lotterie; Tomas Dobrocky; David G Marcellus; Jean Marc Olivot; Michel Piotin; Jan Gralla; Robert Fahed; Max Wintermark; Jeremy J Heit; Christophe Cognard
Journal:  Eur Radiol       Date:  2019-03-22       Impact factor: 5.315

Review 6.  Collateral Status and Outcomes after Thrombectomy.

Authors:  Jin Soo Lee; Oh Young Bang
Journal:  Transl Stroke Res       Date:  2022-06-10       Impact factor: 6.829

7.  Performance of angiographic parametric imaging in locating infarct core in large vessel occlusion acute ischemic stroke patients.

Authors:  Ryan A Rava; Maxim Mokin; Kenneth V Snyder; Muhammad Waqas; Adnan H Siddiqui; Jason M Davies; Elad I Levy; Ciprian N Ionita
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-11

8.  Assessment of a Bayesian Vitrea CT Perfusion Analysis to Predict Final Infarct and Penumbra Volumes in Patients with Acute Ischemic Stroke: A Comparison with RAPID.

Authors:  R A Rava; K V Snyder; M Mokin; M Waqas; A B Allman; J L Senko; A R Podgorsak; M M Shiraz Bhurwani; Y Hoi; A H Siddiqui; J M Davies; E I Levy; C N Ionita
Journal:  AJNR Am J Neuroradiol       Date:  2020-01-16       Impact factor: 3.825

9.  Perfusion imaging-based tissue-level collaterals predict ischemic lesion net water uptake in patients with acute ischemic stroke and large vessel occlusion.

Authors:  Tobias D Faizy; Reza Kabiri; Soren Christensen; Michael Mlynash; Gabriella Kuraitis; Gabriel Broocks; Uta Hanning; Jawed Nawabi; Maarten G Lansberg; Michael P Marks; Gregory W Albers; Jens Fiehler; Max Wintermark; Jeremy J Heit
Journal:  J Cereb Blood Flow Metab       Date:  2021-02-08       Impact factor: 6.200

10.  Investigation of convolutional neural networks using multiple computed tomography perfusion maps to identify infarct core in acute ischemic stroke patients.

Authors:  Ryan A Rava; Alexander R Podgorsak; Muhammad Waqas; Kenneth V Snyder; Maxim Mokin; Elad I Levy; Jason M Davies; Adnan H Siddiqui; Ciprian N Ionita
Journal:  J Med Imaging (Bellingham)       Date:  2021-02-10
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