Literature DB >> 31072174

Ischemic lesion growth in acute stroke: Water uptake quantification distinguishes between edema and tissue infarct.

Gabriel Broocks1, Uta Hanning1, Tobias D Faizy1, Alexandra Scheibel1, Jawed Nawabi1, Gerhard Schön2, Nils D Forkert3, Soenke Langner4, Jens Fiehler1, Susanne Gellißen1, Andre Kemmling5,6.   

Abstract

Infarct growth from the early ischemic core to the total infarct lesion volume (LV) is often used as an outcome variable of treatment effects, but can be overestimated due to vasogenic edema. The purpose of this study was (1) to assess two components of early lesion growth by distinguishing between water uptake and true net infarct growth and (2) to investigate potential treatment effects on edema-corrected net lesion growth. Sixty-two M1-MCA-stroke patients with acute multimodal and follow-up CT (FCT) were included. Ischemic lesion growth was calculated by subtracting the initial CTP-derived ischemic core volume from the LV in the FCT. To determine edema-corrected net lesion growth, net water uptake of the ischemic lesion on FCT was quantified and subtracted from the volume of uncorrected lesion growth. The mean lesion growth without edema correction was 20.4 mL (95% CI: 8.2-32.5 mL). The mean net lesion growth after edema correction was 7.3 mL (95% CI: -2.1-16.7 mL; p < 0.0001). Lesion growth was significantly overestimated due to ischemic edema when determined in early-FCT imaging. In 18 patients, LV was lower than the initial ischemic core volume by CTP. These apparently "reversible" core lesions were more likely in patients with shorter times from symptom onset to imaging and higher recanalization rates.

Entities:  

Keywords:  Ischemia; biomarkers; computerized tomography; ischemic stroke

Mesh:

Substances:

Year:  2019        PMID: 31072174      PMCID: PMC7168794          DOI: 10.1177/0271678X19848505

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  35 in total

1.  Defining the extent of irreversible brain ischemia using perfusion computed tomography.

Authors:  Andrew Bivard; Patrick McElduff; Neil Spratt; Christopher Levi; Mark Parsons
Journal:  Cerebrovasc Dis       Date:  2010-12-21       Impact factor: 2.762

2.  Prediction of final infarct volume on subacute MRI by quantifying cerebral edema in ischemic stroke.

Authors:  Aaryani Tipirneni-Sajja; Soren Christensen; Matus Straka; Manabu Inoue; Maarten G Lansberg; Michael Mlynash; Roland Bammer; Mark W Parsons; Geoffrey A Donnan; Stephen M Davis; Gregory W Albers
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

3.  CT cerebral blood flow maps optimally correlate with admission diffusion-weighted imaging in acute stroke but thresholds vary by postprocessing platform.

Authors:  Shahmir Kamalian; Shervin Kamalian; Matthew B Maas; Greg V Goldmacher; Seyedmehdi Payabvash; Adnan Akbar; Pamela W Schaefer; Karen L Furie; R Gilberto Gonzalez; Michael H Lev
Journal:  Stroke       Date:  2011-05-05       Impact factor: 7.914

4.  Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging.

Authors:  Gregory W Albers; Michael P Marks; Stephanie Kemp; Soren Christensen; Jenny P Tsai; Santiago Ortega-Gutierrez; Ryan A McTaggart; Michel T Torbey; May Kim-Tenser; Thabele Leslie-Mazwi; Amrou Sarraj; Scott E Kasner; Sameer A Ansari; Sharon D Yeatts; Scott Hamilton; Michael Mlynash; Jeremy J Heit; Greg Zaharchuk; Sun Kim; Janice Carrozzella; Yuko Y Palesch; Andrew M Demchuk; Roland Bammer; Philip W Lavori; Joseph P Broderick; Maarten G Lansberg
Journal:  N Engl J Med       Date:  2018-01-24       Impact factor: 91.245

5.  Computed tomography-based quantification of lesion water uptake identifies patients within 4.5 hours of stroke onset: A multicenter observational study.

Authors:  Jens Minnerup; Gabriel Broocks; Judith Kalkoffen; Soenke Langner; Michael Knauth; Marios Nikos Psychogios; Heike Wersching; Anja Teuber; Walter Heindel; Bernd Eckert; Heinz Wiendl; Peter Schramm; Jens Fiehler; André Kemmling
Journal:  Ann Neurol       Date:  2016-12       Impact factor: 10.422

6.  Predictive Value of RAPID Assessed Perfusion Thresholds on Final Infarct Volume in SWIFT PRIME (Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment).

Authors:  Maxim Mokin; Elad I Levy; Jeffrey L Saver; Adnan H Siddiqui; Mayank Goyal; Alain Bonafé; Christophe Cognard; Reza Jahan; Gregory W Albers
Journal:  Stroke       Date:  2017-03-10       Impact factor: 7.914

7.  Predictive Value of Pooled Cerebral Blood Volume Mapping for Final Infarct Volume in Patients with Major Artery Occlusions. A Retrospective Analysis.

Authors:  Lauma Ava; Joachim Berkefeld; Arne Lauer; Alexander Seiler; Waltraud Pfeilschifter; Monika Müller-Eschner; Se-Jong You; Stefan Weidauer; Ulrich Pilatus; Marlies Wagner
Journal:  Clin Neuroradiol       Date:  2017-03-13       Impact factor: 3.649

8.  Subacute Infarct Volume With Edema Correction in Computed Tomography Is Equivalent to Final Infarct Volume After Ischemic Stroke: Improving the Comparability of Infarct Imaging Endpoints in Clinical Trials.

Authors:  Gabriel Broocks; Tobias Djamsched Faizy; Fabian Flottmann; Gerhard Schön; Sönke Langner; Jens Fiehler; Andre Kemmling; Susanne Gellissen
Journal:  Invest Radiol       Date:  2018-08       Impact factor: 6.016

9.  Quantitative Lesion Water Uptake in Acute Stroke Computed Tomography Is a Predictor of Malignant Infarction.

Authors:  Gabriel Broocks; Fabian Flottmann; Alexandra Scheibel; Annette Aigner; Tobias D Faizy; Uta Hanning; Hannes Leischner; Sabine I Broocks; Jens Fiehler; Susanne Gellissen; Andre Kemmling
Journal:  Stroke       Date:  2018-08       Impact factor: 7.914

10.  Early Change in Stroke Size Performs Best in Predicting Response to Therapy.

Authors:  Alexis Nétis Simpkins; Christian Dias; Gina Norato; Eunhee Kim; Richard Leigh
Journal:  Cerebrovasc Dis       Date:  2017-07-07       Impact factor: 2.762

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  6 in total

1.  Automated Measurement of Net Water Uptake From Baseline and Follow-Up CTs in Patients With Large Vessel Occlusion Stroke.

Authors:  Atul Kumar; Yasheng Chen; Aaron Corbin; Ali Hamzehloo; Amin Abedini; Zeynep Vardar; Grace Carey; Kunal Bhatia; Laura Heitsch; Jamal J Derakhshan; Jin-Moo Lee; Rajat Dhar
Journal:  Front Neurol       Date:  2022-06-27       Impact factor: 4.086

2.  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

3.  Infarct Growth despite Successful Endovascular Reperfusion in Acute Ischemic Stroke: A Meta-analysis.

Authors:  F Bala; J Ospel; B Mulpur; B J Kim; J Yoo; B K Menon; M Goyal; C Federau; S-I Sohn; M S Hussain; M A Almekhlafi
Journal:  AJNR Am J Neuroradiol       Date:  2021-06-03       Impact factor: 4.966

Review 4.  Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging.

Authors:  Xiaocheng Zhang; Peiyu Huang; Ruiting Zhang
Journal:  Front Neurol       Date:  2022-01-11       Impact factor: 4.003

5.  Early Edema Within the Ischemic Core Is Time-Dependent and Associated With Functional Outcomes of Acute Ischemic Stroke Patients.

Authors:  Qing Han; Jianhong Yang; Xiang Gao; Jichuan Li; Yuefei Wu; Yao Xu; Qing Shang; Mark W Parsons; Longting Lin
Journal:  Front Neurol       Date:  2022-04-07       Impact factor: 4.003

Review 6.  Cerebral edema after ischemic stroke: Pathophysiology and underlying mechanisms.

Authors:  Yuhang Gu; Chen Zhou; Zhe Piao; Honghua Yuan; Huimin Jiang; Huimin Wei; Yifan Zhou; Guangxian Nan; Xunming Ji
Journal:  Front Neurosci       Date:  2022-08-18       Impact factor: 5.152

  6 in total

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