Literature DB >> 30355095

Volumetric and Spatial Accuracy of Computed Tomography Perfusion Estimated Ischemic Core Volume in Patients With Acute Ischemic Stroke.

Jan W Hoving1,2, Henk A Marquering2,3, Charles B L M Majoie2, Nawaf Yassi1,4, Gagan Sharma1, David S Liebeskind5, Aad van der Lugt6, Yvo B Roos7, Wim van Zwam8, Robert J van Oostenbrugge9, Mayank Goyal10, Jeffrey L Saver11, Tudor G Jovin12, Gregory W Albers13, Antoni Davalos14, Michael D Hill15, Andrew M Demchuk15, Serge Bracard16, Francis Guillemin17, Keith W Muir18, Philip White19,20, Peter J Mitchell21, Geoffrey A Donnan4, Stephen M Davis1, Bruce C V Campbell1.   

Abstract

Background and Purpose- The volume of estimated ischemic core using computed tomography perfusion (CTP) imaging can identify ischemic stroke patients who are likely to benefit from reperfusion, particularly beyond standard time windows. We assessed the accuracy of pretreatment CTP estimated ischemic core in patients with successful endovascular reperfusion. Methods- Patients from the HERMES (Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials) and EXTEND-IA TNK (Tenecteplase Versus Alteplase Before Endovascular Therapy for Ischemic Stroke) databases who had pretreatment CTP, >50% angiographic reperfusion, and follow-up magnetic resonance imaging at 24 hours were included. Ischemic core volume on baseline CTP data was estimated using relative cerebral blood flow <30% (RAPID, iSchemaView). Follow-up diffusion magnetic resonance imaging was registered to CTP, and the diffusion lesion was outlined using a semiautomated algorithm. Volumetric and spatial agreement (using Dice similarity coefficient, average Hausdorff distance, and precision) was assessed, and expert visual assessment of quality was performed. Results- In 120 patients, median CTP estimated ischemic core volume was 7.8 mL (IQR, 1.8-19.9 mL), and median diffusion lesion volume at 24 hours was 30.8 mL (IQR, 14.9-67.6 mL). Median volumetric difference was 4.4 mL (IQR, 1.2-12.0 mL). Dice similarity coefficient was low (median, 0.24; IQR, 0.15-0.37). The median precision (positive predictive value) of 0.68 (IQR, 0.40-0.88) and average Hausdorff distance (median, 3.1; IQR, 1.8-5.7 mm) indicated reasonable spatial agreement for regions estimated as ischemic core at baseline. Overestimation of total ischemic core volume by CTP was uncommon. Expert visual review revealed overestimation predominantly in white matter regions. Conclusions- CTP estimated ischemic core volumes were substantially smaller than follow-up diffusion-weighted imaging lesions at 24 hours despite endovascular reperfusion within 2 hours of imaging. This may be partly because of infarct growth. Volumetric CTP core overestimation was uncommon and not related to imaging-to-reperfusion time. Core overestimation in white matter should be a focus of future efforts to improve CTP accuracy.

Entities:  

Keywords:  cerebral infarction; magnetic resonance imaging; reperfusion; tenecteplase; thrombectomy; tomography, X-ray computed

Mesh:

Year:  2018        PMID: 30355095     DOI: 10.1161/STROKEAHA.118.020846

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  15 in total

1.  The accuracy of ischemic core perfusion thresholds varies according to time to recanalization in stroke patients treated with mechanical thrombectomy: A comprehensive whole-brain computed tomography perfusion study.

Authors:  Carlos Laredo; Arturo Renú; Raúl Tudela; Antonio Lopez-Rueda; Xabier Urra; Laura Llull; Napoleón G Macías; Salvatore Rudilosso; Víctor Obach; Sergio Amaro; Ángel Chamorro
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-17       Impact factor: 6.200

Review 2.  Automated CT Perfusion Imaging to Aid in the Selection of Patients With Acute Ischemic Stroke for Mechanical Thrombectomy: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-11-02

3.  Optimizing the Definition of Ischemic Core in CT Perfusion: Influence of Infarct Growth and Tissue-Specific Thresholds.

Authors:  A Rodríguez-Vázquez; C Laredo; A Renú; S Rudilosso; L Llull; S Amaro; V Obach; V Vera; A Páez; L Oleaga; X Urra; Á Chamorro
Journal:  AJNR Am J Neuroradiol       Date:  2022-08-18       Impact factor: 4.966

4.  Accuracy of CT Perfusion-Based Core Estimation of Follow-up Infarction: Effects of Time Since Last Known Well.

Authors:  Amrou Sarraj; Bruce C V Campbell; Soren Christensen; Clark W Sitton; Shekhar Khanpara; Roy F Riascos; Deep Pujara; Faris Shaker; Gagan Sharma; Maarten G Lansberg; Gregory W Albers
Journal:  Neurology       Date:  2022-04-21       Impact factor: 11.800

5.  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

6.  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

7.  Utility of CT Perfusion Imaging in Patients With Vertebral Artery Stenosis Treated With Balloon Expandable Stent.

Authors:  Wei Wei; Chong Song; Xuqin Li; Dianshi Jin
Journal:  Front Neurol       Date:  2021-03-17       Impact factor: 4.003

Review 8.  Artificial intelligence for decision support in acute stroke - current roles and potential.

Authors:  Andrew Bivard; Leonid Churilov; Mark Parsons
Journal:  Nat Rev Neurol       Date:  2020-08-24       Impact factor: 42.937

Review 9.  Acute Stroke Imaging Research Roadmap IV: Imaging Selection and Outcomes in Acute Stroke Clinical Trials and Practice.

Authors:  Bruce C V Campbell; Maarten G Lansberg; Gregory W Albers; Joseph P Broderick; Colin P Derdeyn; Pooja Khatri; Amrou Sarraj; Jeffrey L Saver; Achala Vagal
Journal:  Stroke       Date:  2021-07-08       Impact factor: 10.170

10.  Evidence of altered brain network centrality in patients with diabetic nephropathy and retinopathy: an fMRI study using a voxel-wise degree centrality approach.

Authors:  Yu Wang; Lei Jiang; Xiao-Yu Wang; Weizhe Chen; Yi Shao; Qin-Kai Chen; Jin-Lei Lv
Journal:  Ther Adv Endocrinol Metab       Date:  2019-07-27       Impact factor: 3.565

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