Literature DB >> 22441110

Multiphasic perfusion computed tomography as a predictor of collateral flow in acute ischemic stroke: comparison with digital subtraction angiography.

Suk Jae Kim1, Hyun Jin Noh, Cindy W Yoon, Keon Ha Kim, Pyoung Jeon, Oh Young Bang, Gyeong-Moon Kim, Chin-Sang Chung, Kwang Ho Lee.   

Abstract

BACKGROUND: Assessing collateral status is important in acute ischemic stroke. The purpose of this study was to compare multiphasic perfusion computed tomography (MPCT) with digital subtraction angiography (DSA) in predicting leptomeningeal collateral flow in acute middle cerebral artery (MCA) infarction.
METHODS: Consecutive patients underwent MPCT and DSA for acute MCA infarction that presented within 6 h of symptom onset. We included patients who showed MCA occlusion in the same location on both modalities and assessed the agreement rate and correlation between the MPCT and DSA collateral grades.
RESULTS: Of 54 patients, 44 (81.5%) had proximal MCA (M1) occlusions and 10 (18.5%) had distal MCA (M2) occlusions based on MPCT and DSA. The κ-coefficients were 0.87 and 0.81 in the MPCT and DSA collateral grade systems, respectively. Forty-four patients (81.5%) belonged to the same category in both collateral-grading systems. MPCT collateral grades correlated positively with those of DSA (Spearman's correlation coefficient 0.827, p < 0.001).
CONCLUSION: Our data show that MPCT can predict leptomeningeal collateral flow in acute ischemic stroke. Based on collateral status assessed by MPCT, different therapeutic approaches might be warranted.
Copyright © 2012 S. Karger AG, Basel.

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Year:  2012        PMID: 22441110     DOI: 10.1159/000334867

Source DB:  PubMed          Journal:  Eur Neurol        ISSN: 0014-3022            Impact factor:   1.710


  8 in total

1.  CTA-enhanced perfusion CT: an original method to perform ultra-low-dose CTA-enhanced perfusion CT.

Authors:  Elizabeth Tong; Max Wintermark
Journal:  Neuroradiology       Date:  2014-08-02       Impact factor: 2.804

2.  Comparison of CTA- and DSA-Based Collateral Flow Assessment in Patients with Anterior Circulation Stroke.

Authors:  I G H Jansen; O A Berkhemer; A J Yoo; J A Vos; G J Lycklama À Nijeholt; M E S Sprengers; W H van Zwam; W J Schonewille; J Boiten; M A A van Walderveen; R J van Oostenbrugge; A van der Lugt; H A Marquering; C B L M Majoie
Journal:  AJNR Am J Neuroradiol       Date:  2016-07-14       Impact factor: 3.825

3.  Thrombus length discrepancy on dual-phase CT can predict clinical outcome in acute ischemic stroke.

Authors:  Mina Park; Kyung-Eun Kim; Na-Young Shin; Seung-Koo Lee; Soo Mee Lim; Dongbeom Song; Ji Hoe Heo; Jin Woo Kim; Se Won Oh
Journal:  Eur Radiol       Date:  2015-09-22       Impact factor: 5.315

4.  Time-resolved assessment of collateral flow using 4D CT angiography in large-vessel occlusion stroke.

Authors:  Andreas M J Frölich; Sarah Lena Wolff; Marios N Psychogios; Ernst Klotz; Ramona Schramm; Katrin Wasser; Michael Knauth; Peter Schramm
Journal:  Eur Radiol       Date:  2014-02       Impact factor: 5.315

Review 5.  Collateral Circulation in Ischemic Stroke: Assessment Tools and Therapeutic Strategies.

Authors:  Oh Young Bang; Mayank Goyal; David S Liebeskind
Journal:  Stroke       Date:  2015-10-08       Impact factor: 7.914

6.  NIHSS sub-item scores predict collateral flow in acute middle cerebral artery infarction.

Authors:  Jaechun Hwang; Mi Ji Lee; Jong-Won Chung; Oh Young Bang; Gyeong-Moon Kim; Chin-Sang Chung; Kwang Ho Lee
Journal:  Interv Neuroradiol       Date:  2018-07-10       Impact factor: 1.610

7.  The diagnostic reliability and validity of noninvasive imaging modalities to assess leptomeningeal collateral flow for ischemic stroke patients: A systematic review and meta-analysis.

Authors:  Chaohua Cui; Ye Hong; Jiajia Bao; Li He
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

8.  Dual-phase CT collateral score: a predictor of clinical outcome in patients with acute ischemic stroke.

Authors:  Na-Young Shin; Kyung-eun Kim; Mina Park; Young Dae Kim; Dong Joon Kim; Sung Jun Ahn; Ji Hoe Heo; Seung-Koo Lee
Journal:  PLoS One       Date:  2014-09-11       Impact factor: 3.240

  8 in total

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