Literature DB >> 18470956

Quantitative prediction of ischemic stroke tissue fate.

Qiang Shen1, Timothy Q Duong.   

Abstract

Accurate prediction of ischemic tissue fate could aid clinical decision-making in the treatment of acute stroke. We investigated predictions of tissue fate for three (30-min, 60-min and permanent) stroke models in rats. Quantitative cerebral blood flow (CBF), apparent diffusion coefficient (ADC) and spin-spin relaxation time constant (T(2)) were acquired during the acute phase and at the end point followed by histological examination. Probability-of-infarct profiles based on ADC and CBF data were constructed using a training dataset. Probability-of-infarct maps were predicted using only acute stroke data from a separate experimental dataset, revealing the likelihood of future infarction. Performance measures of sensitivity and specificity showed accurate predictions. Sensitivities (mean +/- SD) for the 30-min, 60-min and permanent stroke were, respectively, 82 +/- 6%, 82 +/- 7%, and 86 +/- 4%, specificities were 83 +/- 5%, 86 +/- 5%, and 89 +/- 6%, and the areas under the receiver operating curve were 87 +/- 3%, 90 +/- 4%, and 93 +/- 3%. Importantly, to improve prediction accuracy, we took into account regional susceptibility to infarction. Spatial frequency-of-infarct maps were constructed and predictions were made by taking the weighted average of the probability-of-infarct map and spatial frequency-of-infarct map. The optimal weighting coefficient of spatial frequency-of-infarct was small (10%) for the permanent occlusion group but surprisingly large (40%) for the reperfusion groups, indicating that regional susceptibility of infarction was important for accurate prediction in reperfusion stroke. We concluded that the likelihood of cerebral infarction in rats can be accurately predicted and that accounting for regional susceptibility of infarct further improves prediction accuracy. Predictive models have the potential to provide a valuable quantitative framework for clinicians to consider different stroke treatment options. Copyright (c) 2008 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2008        PMID: 18470956      PMCID: PMC2901887          DOI: 10.1002/nbm.1264

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  38 in total

1.  Quantitative measurements of cerebral blood oxygen saturation using magnetic resonance imaging.

Authors:  H An; W Lin
Journal:  J Cereb Blood Flow Metab       Date:  2000-08       Impact factor: 6.200

2.  Magnetic resonance imaging of perfusion using spin inversion of arterial water.

Authors:  D S Williams; J A Detre; J S Leigh; A P Koretsky
Journal:  Proc Natl Acad Sci U S A       Date:  1992-01-01       Impact factor: 11.205

3.  Infarct prediction and treatment assessment with MRI-based algorithms in experimental stroke models.

Authors:  Ona Wu; Toshihisa Sumii; Minoru Asahi; Masao Sasamata; Leif Ostergaard; Bruce R Rosen; Eng H Lo; Rick M Dijkhuizen
Journal:  J Cereb Blood Flow Metab       Date:  2006-05-10       Impact factor: 6.200

4.  Interrelations of T(1) and diffusion of water in acute cerebral ischemia of the rat.

Authors:  M I Kettunen; O H Gröhn; J A Lukkarinen; P Vainio; M J Silvennoinen; R A Kauppinen
Journal:  Magn Reson Med       Date:  2000-12       Impact factor: 4.668

5.  What is the correct value for the brain--blood partition coefficient for water?

Authors:  P Herscovitch; M E Raichle
Journal:  J Cereb Blood Flow Metab       Date:  1985-03       Impact factor: 6.200

6.  Functional MRI of calcium-dependent synaptic activity: cross correlation with CBF and BOLD measurements.

Authors:  T Q Duong; A C Silva; S P Lee; S G Kim
Journal:  Magn Reson Med       Date:  2000-03       Impact factor: 4.668

7.  Acute changes in MRI diffusion, perfusion, T(1), and T(2) in a rat model of oligemia produced by partial occlusion of the middle cerebral artery.

Authors:  M F Lythgoe; D L Thomas; F Calamante; G S Pell; M D King; A L Busza; C H Sotak; S R Williams; R J Ordidge; D G Gadian
Journal:  Magn Reson Med       Date:  2000-11       Impact factor: 4.668

8.  Predicting tissue outcome in acute human cerebral ischemia using combined diffusion- and perfusion-weighted MR imaging.

Authors:  O Wu; W J Koroshetz; L Ostergaard; F S Buonanno; W A Copen; R G Gonzalez; G Rordorf; B R Rosen; L H Schwamm; R M Weisskoff; A G Sorensen
Journal:  Stroke       Date:  2001-04       Impact factor: 7.914

9.  Tissue plasminogen activator for acute ischemic stroke.

Authors: 
Journal:  N Engl J Med       Date:  1995-12-14       Impact factor: 91.245

Review 10.  Viability thresholds and the penumbra of focal ischemia.

Authors:  K A Hossmann
Journal:  Ann Neurol       Date:  1994-10       Impact factor: 10.422

View more
  19 in total

1.  T2*-weighted fMRI time-to-peak of oxygen challenge in ischemic stroke.

Authors:  Qiang Shen; Shiliang Huang; Timothy Q Duong
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-06       Impact factor: 6.200

2.  Regional prediction of tissue fate in acute ischemic stroke.

Authors:  Fabien Scalzo; Qing Hao; Jeffry R Alger; Xiao Hu; David S Liebeskind
Journal:  Ann Biomed Eng       Date:  2012-05-17       Impact factor: 3.934

3.  Effects of cerebral ischemic and reperfusion on T2*-weighted MRI responses to brief oxygen challenge.

Authors:  Qiang Shen; Fang Du; Shiliang Huang; Timothy Q Duong
Journal:  J Cereb Blood Flow Metab       Date:  2013-10-16       Impact factor: 6.200

4.  Deep Learning of Tissue Fate Features in Acute Ischemic Stroke.

Authors:  Noah Stier; Nicholas Vincent; David Liebeskind; Fabien Scalzo
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2015-12-17

5.  Probing ischemic tissue fate with BOLD fMRI of brief oxygen challenge.

Authors:  Qiang Shen; Shiliang Huang; Fang Du; Timothy Q Duong
Journal:  Brain Res       Date:  2011-10-01       Impact factor: 3.252

6.  Quantitative prediction of acute ischemic tissue fate using support vector machine.

Authors:  Shiliang Huang; Qiang Shen; Timothy Q Duong
Journal:  Brain Res       Date:  2011-06-12       Impact factor: 3.252

7.  Artificial neural network prediction of ischemic tissue fate in acute stroke imaging.

Authors:  Shiliang Huang; Qiang Shen; Timothy Q Duong
Journal:  J Cereb Blood Flow Metab       Date:  2010-04-28       Impact factor: 6.200

8.  Multimodal MRI of experimental stroke.

Authors:  Timothy Q Duong
Journal:  Transl Stroke Res       Date:  2011-12-14       Impact factor: 6.829

9.  Longitudinal MRI Evaluation of Ischemic Stroke in the Basal Ganglia of a Rhesus Macaque (Macaca mulatta) with Seizures.

Authors:  Chun-Xia Li; Doty J Kempf; Frank C Tong; Yumei Yan; Zhengfeng Xu; Fawn R Connor-Stroud; Byron D Ford; Leonard L Howell; Xiaodong Zhang
Journal:  Comp Med       Date:  2018-11-28       Impact factor: 0.982

Review 10.  Magnetic resonance imaging of perfusion-diffusion mismatch in rodent and non-human primate stroke models.

Authors:  Timothy Q Duong
Journal:  Neurol Res       Date:  2013-04-16       Impact factor: 2.448

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.