Literature DB >> 26748572

Stroke assessment with intravoxel incoherent motion diffusion-weighted MRI.

Shiteng Suo1, Mengqiu Cao1, Wanqiu Zhu1, Lei Li1, Jun Li1, Fei Shen2, Jinyan Zu1, Zien Zhou1, Zhiguo Zhuang1, Jianxun Qu3, Zengai Chen1, Jianrong Xu1.   

Abstract

Intravoxel incoherent motion (IVIM) diffusion-weighted MRI can simultaneously measure diffusion and perfusion characteristics in a non-invasive way. This study aimed to determine the potential utility of IVIM in characterizing brain diffusion and perfusion properties for clinical stroke. The multi-b-value diffusion-weighted images of 101 patients diagnosed with acute/subacute ischemic stroke were retrospectively evaluated. The diffusion coefficient D, representing the water apparent diffusivity, was obtained by fitting the diffusion data with increasing high b-values to a simple mono-exponential model. The IVIM-derived perfusion parameters, pseudodiffusion coefficient D*, vascular volume fraction f and blood flow-related parameter fD*, were calculated with the bi-exponential model. Additionally, the apparent diffusion coefficient (ADC) was fitted according to the mono-exponential model using all b-values. The diffusion parameters for the ischemic lesion and normal contralateral region were measured in each patient. Statistical analysis was performed using the paired Student t-test and Pearson correlation test. Diffusion data in both the ischemic lesion and normal contralateral region followed the IVIM bi-exponential behavior, and the IVIM model showed better goodness of fit than the mono-exponential model with lower Akaike information criterion values. The paired Student t-test revealed significant differences for all diffusion parameters (all P < 0.001) except D* (P = 0.218) between ischemic and normal areas. For all patients in both ischemic and normal regions, ADC was significantly positively correlated with D (both r = 1, both P < 0.001) and f (r = 0.541, P < 0.001; r = 0.262, P = 0.008); significant correlation was also found between ADC and fD* in the ischemic region (r = 0.254, P = 0.010). For all pixels within the region of interest from a representative subject in both ischemic and normal regions, ADC was significantly positively correlated with D (both r = 1, both P < 0.001), f (r = 0.823, P < 0.001; r = 0.652, P < 0.001) and fD* (r = 0.294, P < 0.001; r = 0.340, P < 0.001). These findings may have clinical implications for the use of IVIM imaging in the assessment and management of acute/subacute stroke patients.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  bi-exponential; diffusion-weighted imaging; human brain; intravoxel incoherent motion; perfusion; stroke

Mesh:

Year:  2016        PMID: 26748572     DOI: 10.1002/nbm.3467

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


  19 in total

1.  Diffusional kurtosis imaging (DKI) incorporation into an intravoxel incoherent motion (IVIM) MR model to measure cerebral hypoperfusion induced by hyperventilation challenge in healthy subjects.

Authors:  Aude Pavilla; Giulio Gambarota; Alessandro Arrigo; Mehdi Mejdoubi; Régis Duvauferrier; Hervé Saint-Jalmes
Journal:  MAGMA       Date:  2017-06-12       Impact factor: 2.310

2.  Evidence of the diffusion time dependence of intravoxel incoherent motion in the brain.

Authors:  Dan Wu; Jiangyang Zhang
Journal:  Magn Reson Med       Date:  2019-07-02       Impact factor: 4.668

3.  Effect of intravoxel incoherent motion on diffusion parameters in normal brain.

Authors:  Casey Vieni; Benjamin Ades-Aron; Bettina Conti; Eric E Sigmund; Peter Riviello; Timothy M Shepherd; Yvonne W Lui; Dmitry S Novikov; Els Fieremans
Journal:  Neuroimage       Date:  2019-09-30       Impact factor: 6.556

4.  Early evaluation of irradiated parotid glands with intravoxel incoherent motion MR imaging: correlation with dynamic contrast-enhanced MR imaging.

Authors:  Nan Zhou; Chen Chu; Xin Dou; Ming Li; Song Liu; Lijing Zhu; Baorui Liu; Tingting Guo; Weibo Chen; Jian He; Jing Yan; Zhengyang Zhou; Xiaofeng Yang; Tian Liu
Journal:  BMC Cancer       Date:  2016-11-08       Impact factor: 4.430

5.  Application of a Simplified Method for Estimating Perfusion Derived from Diffusion-Weighted MR Imaging in Glioma Grading.

Authors:  Mengqiu Cao; Shiteng Suo; Xu Han; Ke Jin; Yawen Sun; Yao Wang; Weina Ding; Jianxun Qu; Xiaohua Zhang; Yan Zhou
Journal:  Front Aging Neurosci       Date:  2018-01-08       Impact factor: 5.750

6.  Monitoring Leiomyoma Response to Uterine Artery Embolization Using Diffusion and Perfusion Indices from Diffusion-Weighted Imaging.

Authors:  Mengqiu Cao; Lijun Qian; Xuebin Zhang; Xinjun Suo; Qing Lu; Huilin Zhao; Jialin Liu; Jianxun Qu; Yan Zhou; Jianrong Xu; Shiteng Suo
Journal:  Biomed Res Int       Date:  2017-08-27       Impact factor: 3.411

7.  Crossed cerebellar diaschisis after acute ischemic stroke detected by intravoxel incoherent motion magnetic resonance imaging.

Authors:  Jianhong Ma; Lei Zhao; Kemei Yuan; Jingrui Yan; Yanbo Zhang; Jianzhong Zhu; Chengxin Yan
Journal:  Neurol Sci       Date:  2021-07-02       Impact factor: 3.307

8.  Diffusion-weighted MRI for predicting pathologic response to neoadjuvant chemotherapy in breast cancer: evaluation with mono-, bi-, and stretched-exponential models.

Authors:  Shiteng Suo; Yan Yin; Xiaochuan Geng; Dandan Zhang; Jia Hua; Fang Cheng; Jie Chen; Zhiguo Zhuang; Mengqiu Cao; Jianrong Xu
Journal:  J Transl Med       Date:  2021-06-02       Impact factor: 5.531

9.  Correlation between Intravoxel Incoherent Motion Magnetic Resonance Imaging Derived Metrics and Serum Soluble CD40 Ligand Level in an Embolic Canine Stroke Model.

Authors:  Xiao-Quan Xu; Chen-Jiang Wu; Shan-Shan Lu; Qian-Qian Gao; Qing-Quan Zu; Xing-Long Liu; Hai-Bin Shi; Sheng Liu
Journal:  Korean J Radiol       Date:  2017-07-17       Impact factor: 3.500

10.  Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging.

Authors:  Emma M Meeus; Jan Novak; Hamid Dehghani; Andrew C Peet
Journal:  MAGMA       Date:  2017-10-26       Impact factor: 2.310

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