Literature DB >> 29172990

Thresholds for infarction vary between gray matter and white matter in acute ischemic stroke: A CT perfusion study.

Chushuang Chen1,2, Andrew Bivard1,2, Longting Lin1,2, Christopher R Levi1,2, Neil J Spratt1,2, Mark W Parsons1,2.   

Abstract

We aimed to investigate optimal perfusion thresholds defining ischemic core and penumbra for hemispheric-cortical gray matter (GM) and subcortical white matter (WM). A total of 65 sub-6 h ischemic stroke patients were assessed, who underwent acute computed tomography perfusion (CTP) and acute magnetic resonance imaging. CTP maps were generated by both standard singular value deconvolution (sSVD) and SVD with delay and dispersion correction (ddSVD). Analyses were undertaken to calculate sensitivity, specificity, and area under the curve (AUC) for each CTP threshold for core and penumbra in GM and WM. With sSVD, the core was best defined in GM by cerebral blood flow (CBF) < 30% (AUC: 0.73) and in WM by CBF < 20% (AUC: 0.67). With ddSVD, GM core was best defined by CBF < 35% (AUC: 0.75) and in WM by CBF < 25% (AUC: 0.68). A combined GM/WM threshold overestimated core compared to diffusion-weighted imaging, CBF < 25% from sSVD (1.88 ml, P = 0.007) and CBF < 30% from ddSVD (1.27 ml, P = 0.011). The perfusion lesion was best defined by Tmax > 5 s (AUC: 0.80) in GM and Tmax > 7 s (AUC: 0.75) in WM. With sSVD, a delay time (DT) > 3 s from ddSVD was the optimal for both GM (AUC: 0.78) and WM (AUC: 0.75). Using tissue-specific thresholds for GM/WM provides more accurate estimation of acute ischemic core.

Entities:  

Keywords:  CT perfusion; infarction; ischemic stroke; threshold; white matter

Year:  2017        PMID: 29172990      PMCID: PMC6421247          DOI: 10.1177/0271678X17744453

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


  18 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

2.  Leukoaraiosis May Confound the Interpretation of CT Perfusion in Patients Treated with Mechanical Thrombectomy for Acute Ischemic Stroke.

Authors:  S Rudilosso; C Laredo; C Vivancos; X Urra; L Llull; A Renú; V Obach; Y Zhao; J L Moreno; A Lopez-Rueda; S Amaro; Á Chamorro
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-25       Impact factor: 3.825

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

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Journal:  Neuroradiol J       Date:  2020-06-23

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

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Journal:  Radiol Med       Date:  2021-01-19       Impact factor: 3.469

5.  Ultra-high b value DWI in distinguishing fresh gray matter ischemic lesions from white matter ones: a comparative study with routine and high b value DWI.

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Journal:  Quant Imaging Med Surg       Date:  2021-11

6.  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

7.  Diagnostic value of whole-brain computed tomographic perfusion imaging for suspected large artery occlusion stroke patients in emergency department.

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8.  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

9.  Quantifying T 2 relaxation time changes within lesions defined by apparent diffusion coefficient in grey and white matter in acute stroke patients.

Authors:  Robin A Damion; Michael J Knight; Bryony L McGarry; Rose Bosnell; Peter Jezzard; George Wj Harston; Davide Carone; James Kennedy; Salwa El-Tawil; Jennifer Elliot; Keith W Muir; Philip Clatworthy; Risto A Kauppinen
Journal:  Phys Med Biol       Date:  2019-04-29       Impact factor: 3.609

10.  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

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