Literature DB >> 32457224

Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and RAPID.

Ryan A Rava1,2, Kenneth V Snyder2,3, Maxim Mokin4, Muhammad Waqas2,3, Xiaoliang Zhang1, Alexander R Podgorsak1,2,5, Ariana B Allman1,2, Jillian Senko1,2, Mohammad Mahdi Shiraz Bhurwani1,2, Yiemeng Hoi6, Jason M Davies2,3,7, Elad I Levy2,3, Adnan H Siddiqui2,3, Ciprian N Ionita8,2,3,5.   

Abstract

BACKGROUND: CT perfusion (CTP) infarct and penumbra estimations determine the eligibility of patients with acute ischemic stroke (AIS) for endovascular intervention. This study aimed to determine volumetric and spatial agreement of predicted RAPID, Vitrea, and Sphere CTP infarct with follow-up fluid attenuation inversion recovery (FLAIR) MRI infarct.
METHODS: 108 consecutive patients with AIS and large vessel occlusion were included in the study between April 2019 and January 2020 . Patients were divided into two groups: endovascular intervention (n=58) and conservative treatment (n=50). Intervention patients were treated with mechanical thrombectomy and achieved successful reperfusion (Thrombolysis in Cerebral Infarction 2b/2 c/3) while patients in the conservative treatment group did not receive mechanical thrombectomy or intravenous thrombolysis. Intervention and conservative treatment patients were included to assess infarct and penumbra estimations, respectively. It was assumed that in all patients treated conservatively, penumbra converted to infarct. CTP infarct and penumbra volumes were segmented from RAPID, Vitrea, and Sphere to assess volumetric and spatial agreement with follow-up FLAIR MRI.
RESULTS: Mean infarct differences (95% CIs) between each CTP software and FLAIR MRI for each cohort were: intervention cohort: RAPID=9.0±7.7 mL, Sphere=-0.2±8.7 mL, Vitrea=-7.9±8.9 mL; conservative treatment cohort: RAPID=-31.9±21.6 mL, Sphere=-26.8±17.4 mL, Vitrea=-15.3±13.7 mL. Overlap and Dice coefficients for predicted infarct were (overlap, Dice): intervention cohort: RAPID=(0.57, 0.44), Sphere=(0.68, 0.60), Vitrea=(0.70, 0.60); conservative treatment cohort: RAPID=(0.71, 0.56), Sphere=(0.73, 0.60), Vitrea=(0.72, 0.64).
CONCLUSIONS: Sphere proved the most accurate in patients who had intervention infarct assessment as Vitrea and RAPID overestimated and underestimated infarct, respectively. Vitrea proved the most accurate in penumbra assessment for patients treated conservatively although all software overestimated penumbra. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  CT perfusion; MRI; brain; stroke

Mesh:

Year:  2020        PMID: 32457224     DOI: 10.1136/neurintsurg-2020-015966

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  14 in total

1.  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

2.  Comparison of a Bayesian estimation algorithm and singular value decomposition algorithms for 80-detector row CT perfusion in patients with acute ischemic stroke.

Authors:  Shota Ichikawa; Hiroyuki Yamamoto; Takumi Morita
Journal:  Radiol Med       Date:  2021-01-19       Impact factor: 3.469

Review 3.  Clinical Imaging of the Penumbra in Ischemic Stroke: From the Concept to the Era of Mechanical Thrombectomy.

Authors:  Lucie Chalet; Timothé Boutelier; Thomas Christen; Dorian Raguenes; Justine Debatisse; Omer Faruk Eker; Guillaume Becker; Norbert Nighoghossian; Tae-Hee Cho; Emmanuelle Canet-Soulas; Laura Mechtouff
Journal:  Front Cardiovasc Med       Date:  2022-03-09

4.  Initial investigation of predicting hematoma expansion for intracerebral hemorrhage using imaging biomarkers and machine learning.

Authors:  Dennis Swetz; Samantha E Seymour; Ryan A Rava; Mohammad Mahdi Shiraz Bhurwani; Andre Monteiro; Ammad A Baig; Muhammad Waqas; Kenneth V Snyder; Elad I Levy; Jason M Davies; Adnan H Siddiqui; Ciprian N Ionita
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

5.  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

6.  Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters.

Authors:  Ryan A Rava; Alexander R Podgorsak; Muhammad Waqas; Kenneth V Snyder; Elad I Levy; Jason M Davies; Adnan H Siddiqui; Ciprian N Ionita
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15

7.  Enhancing performance of a computed tomography perfusion software for improved prediction of final infarct volume in acute ischemic stroke patients.

Authors:  Ryan A Rava; Kenneth V Snyder; Maxim Mokin; Muhammad Waqas; Alexander R Podgorsak; Ariana B Allman; Jillian Senko; Mohammad Mahdi Shiraz Bhurwani; Yiemeng Hoi; Jason M Davies; Elad I Levy; Adnan H Siddiqui; Ciprian N Ionita
Journal:  Neuroradiol J       Date:  2021-01-21

8.  Use of quantitative angiographic methods with a data-driven model to evaluate reperfusion status (mTICI) during thrombectomy.

Authors:  Mohammad Mahdi Shiraz Bhurwani; Kenneth V Snyder; Muhammad Waqas; Maxim Mokin; Ryan A Rava; Alexander R Podgorsak; Felix Chin; Jason M Davies; Elad I Levy; Adnan H Siddiqui; Ciprian N Ionita
Journal:  Neuroradiology       Date:  2021-01-07       Impact factor: 2.995

9.  Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA.

Authors:  Chengyan Wang; Zhang Shi; Ming Yang; Lixiang Huang; Wenxing Fang; Li Jiang; Jing Ding; He Wang
Journal:  J Cereb Blood Flow Metab       Date:  2021-06-08       Impact factor: 6.960

10.  The Application of Computed Tomography Perfusion in the Alberta Stroke Program Early Computed Tomography Score for Endovascular Treatment of Acute Ischemic Stroke in the Anterior Circulation.

Authors:  Wei-Yong Zhang; Shi-Feng Xiang; Su-Jun Yang; Yi-Ping Wu; Jun-Tao Li; Guo-Kun Liu; Jian-Fei Li; Wei-Wei Wang
Journal:  Int J Gen Med       Date:  2021-05-17
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