Literature DB >> 22322311

Predicting stroke evolution: comparison of susceptibility-weighted MR imaging with MR perfusion.

Hung-Wen Kao1, Fong Y Tsai, Anton N Hasso.   

Abstract

OBJECTIVES: To investigate the ability of susceptibility-weighted imaging (SWI) to predict stroke evolution in comparison with perfusion-weighted imaging (PWI).
METHODS: In a retrospective analysis of 15 patients with non-lacunar ischaemic stroke studied no later than 24 h after symptom onset, we used the Alberta Stroke Program Early CT Score (ASPECTS) to compare lesions on initial diffusion-weighted images (DWI), SWI, PWI and follow-up studies obtained at least 5 days after symptom onset. The National Institutes of Health Stroke Scale scores at entry and stroke risk factors were documented. The clinical-DWI, SWI-DWI and PWI-DWI mismatches were calculated.
RESULTS: SWI-DWI and mean transit time (MTT)-DWI mismatches were significantly associated with higher incidence of infarct growth (P = 0.007 and 0.028) and had similar ability to predict stroke evolution (P = 1.0). ASPECTS values on initial DWI, SWI and PWI were significantly correlated with those on follow-up studies (P ≤ 0.026) but not associated with infarct growth. The SWI ASPECTS values were best correlated with MTT ones (ρ = 0.8, P < 0.001).
CONCLUSIONS: SWI is an alternative to PWI to assess penumbra and predict stroke evolution. Further prospective studies are needed to evaluate the role of SWI in guiding thrombolytic therapy. Key Points • SWI can provide perfusion information comparable to MTT • SWI-DWI mismatch can indicate ischaemic penumbra • SWI-DWI mismatch can be a predictor for stroke evolution.

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Year:  2012        PMID: 22322311     DOI: 10.1007/s00330-012-2387-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  32 in total

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Review 2.  Clinical applications of neuroimaging with susceptibility-weighted imaging.

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3.  Relationship between cerebral circulatory reserve and oxygen extraction fraction in patients with major cerebral artery occlusive disease: a positron emission tomography study.

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Journal:  Stroke       Date:  2006-01-12       Impact factor: 7.914

Review 4.  Magnetic resonance perfusion diffusion mismatch and thrombolysis in acute ischaemic stroke: a systematic review of the evidence to date.

Authors:  I Kane; P Sandercock; J Wardlaw
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-10-20       Impact factor: 10.154

5.  Thresholds in cerebral ischemia - the ischemic penumbra.

Authors:  J Astrup; B K Siesjö; L Symon
Journal:  Stroke       Date:  1981 Nov-Dec       Impact factor: 7.914

6.  Predicting cerebral ischemic infarct volume with diffusion and perfusion MR imaging.

Authors:  Pamela W Schaefer; George J Hunter; Julian He; Leena M Hamberg; A Gregory Sorensen; Lee H Schwamm; Walter J Koroshetz; R Gilberto Gonzalez
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7.  Combined perfusion- and diffusion-weighted MR imaging in acute ischemic stroke during the 1st week: a longitudinal study.

Authors:  J O Karonen; Y Liu; R L Vanninen; L Ostergaard; P L Kaarina Partanen; P A Vainio; E J Vanninen; J Nuutinen; R Roivainen; S Soimakallio; J T Kuikka; H J Aronen
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8.  Abnormal intravoxel cerebral blood flow heterogeneity in human ischemic stroke determined by dynamic susceptibility contrast magnetic resonance imaging.

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Journal:  Stroke       Date:  2004-12-02       Impact factor: 7.914

Review 9.  Susceptibility-weighted imaging for differential diagnosis of cerebral vascular pathology: a pictorial review.

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10.  Importance of hemodynamic factors in the prognosis of symptomatic carotid occlusion.

Authors:  R L Grubb; C P Derdeyn; S M Fritsch; D A Carpenter; K D Yundt; T O Videen; E L Spitznagel; W J Powers
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  38 in total

1.  MR image features predicting hemorrhagic transformation in acute cerebral infarction: a multimodal study.

Authors:  Chunming Liu; Zhengchao Dong; Liang Xu; Aiman Khursheed; Longchun Dong; Zhenxing Liu; Jun Yang; Jun Liu
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2.  Asymmetrically hypointense veins on T2*w imaging and susceptibility-weighted imaging in ischemic stroke.

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3.  On the search for the perfect mismatch!

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5.  Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions.

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6.  Focal hemodynamic patterns of status epilepticus detected by susceptibility weighted imaging (SWI).

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Journal:  Eur Radiol       Date:  2014-08-06       Impact factor: 5.315

7.  Susceptibility-weighted imaging predicts infarct size and early-stage clinical prognosis in acute ischemic stroke.

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Review 8.  Susceptibility-weighted imaging: current status and future directions.

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9.  Pediatric cerebral stroke: susceptibility-weighted imaging may predict post-ischemic malignant edema.

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10.  Increased susceptibility of asymmetrically prominent cortical veins correlates with misery perfusion in patients with occlusion of the middle cerebral artery.

Authors:  Yu Luo; Zhongying Gong; Yongming Zhou; Binge Chang; Chao Chai; Taiyuan Liu; Yanhong Han; Meiyun Wang; Tianyi Qian; E Mark Haacke; Shuang Xia
Journal:  Eur Radiol       Date:  2016-09-21       Impact factor: 5.315

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