Stroke assessment with intravoxel incoherent motion diffusion‐weighted MRI. (8th January 2016)
- Record Type:
- Journal Article
- Title:
- Stroke assessment with intravoxel incoherent motion diffusion‐weighted MRI. (8th January 2016)
- Main Title:
- Stroke assessment with intravoxel incoherent motion diffusion‐weighted MRI
- Authors:
- Suo, Shiteng
Cao, Mengqiu
Zhu, Wanqiu
Li, Lei
Li, Jun
Shen, Fei
Zu, Jinyan
Zhou, Zien
Zhuang, Zhiguo
Qu, Jianxun
Chen, Zengai
Xu, Jianrong - Abstract:
- 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)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. Abstract : Intravoxel incoherent motion (IVIM) diffusion‐weighted MRI was applied in patients with acute/subacute ischemic stroke. Our results showed that the IVIM bi‐exponential model fitted the diffusion data better than the conventional mono‐exponential model, and demonstrated that the IVIM imaging was capable to evaluate the diffusion and perfusion effects simultaneously in human stroke, in a quantitative and non‐invasive way. … (more)
- Is Part Of:
- NMR in biomedicine. Volume 29:Number 3(2016:Mar.)
- Journal:
- NMR in biomedicine
- Issue:
- Volume 29:Number 3(2016:Mar.)
- Issue Display:
- Volume 29, Issue 3 (2016)
- Year:
- 2016
- Volume:
- 29
- Issue:
- 3
- Issue Sort Value:
- 2016-0029-0003-0000
- Page Start:
- 320
- Page End:
- 328
- Publication Date:
- 2016-01-08
- Subjects:
- stroke -- human brain -- diffusion‐weighted imaging -- intravoxel incoherent motion -- bi‐exponential -- perfusion
Nuclear magnetic resonance -- Periodicals
Magnetic Resonance Spectroscopy -- Periodicals
574 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/nbm.3467 ↗
- Languages:
- English
- ISSNs:
- 0952-3480
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6113.931000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 2181.xml