Observed paradoxical perfusion fraction elevation in steatotic liver: An example of intravoxel incoherent motion modeling of the perfusion component constrained by the diffusion component

2021 ◽  
Author(s):  
Yì Xiáng J. Wáng
Keyword(s):  
Intravoxel Incoherent Motion ◽  
Motion Modeling ◽  
Steatotic Liver ◽  
Perfusion Fraction ◽  
Diffusion Component

Value of intravoxel incoherent motion for differential diagnosis of renal tumors

2018 ◽  
Vol 60 (3) ◽  
pp. 382-387 ◽  
Author(s):  
Qingqiang Zhu ◽  
Wenrong Zhu ◽  
Jing Ye ◽  
Jingtao Wu ◽  
Wenxin Chen ◽  
...  
Keyword(s):  
Renal Cell ◽  
Clear Cell ◽  
Threshold Value ◽  
Intravoxel Incoherent Motion ◽  
Renal Tumors ◽  
Threshold Values ◽  
Renal Cell Carcinomas ◽  
Perfusion Fraction ◽  
D Values ◽  
Tumor Types

Background Few studies have reported on the use of intravoxel incoherent motion (IVIM) for renal tumors. Purpose To investigate the value of IVIM for distinguishing renal tumors. Material and Methods Thirty-one patients with clear cell renal cell carcinomas (CCRCCs), 13 patients with renal angiomyolipomas with minimal fat (RAMFs), eight patients with chromophobe renal cell carcinomas (ChRCCs), and ten patients with papillary renal cell carcinomas (PRCCs) were examined. The tissue diffusivity (D), pseudodiffusivity (D*), and perfusion fraction (f) were calculated. Results The D and f values were highest for CCRCCs, lowest for PRCCs, and intermediate for ChRCCs and RAMFs ( P < 0.05). The D values of CCRCCs differed significantly from those of ChRCCs and PRCCs ( P < 0.05). The D* values were highest for RAMFs, lowest for ChRCCs, and intermediate for CCRCCs and PRCCs ( P < 0.05). Statistically significant differences were observed between the D* values of CCRCCs and RAMFs ( P < 0.05). The D* values of the CCRCCs differed significantly from the D* values of the ChRCCs ( P < 0.05). Using the D and f values of 1.10 and 0.41, respectively, as the threshold values for differentiating CCRCCs from RAMFs, ChRCCs, and PRCCs, the best results had sensitivities of 81.0% and 66.8% and specificities of 85.7% and 81.0%, respectively. Using the D* value of 0.038 as the threshold value for differentiating RAMFs from CCRCCs, ChRCCs, and PRCCs, the best result obtained had a sensitivity of 90.5% and specificity of 76.2%. Conclusion IVIM may provide information for differentiating renal tumor types.

Intravoxel incoherent motion diffusion-weighted imaging assessment of microvascular characteristics in the murine embryonal rhabdomyosarcoma model

2019 ◽  
Vol 61 (2) ◽  
pp. 260-266
Author(s):  
Yuan Yuan ◽  
Dewei Zeng ◽  
Yu Zhang ◽  
Juan Tao ◽  
Yajie Liu ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Microvessel Density ◽  
Diffusion Weighted Imaging ◽  
Embryonal Rhabdomyosarcoma ◽  
Intravoxel Incoherent Motion ◽  
Microvascular Blood Flow ◽  
Vegf Expression ◽  
Perfusion Fraction ◽  
Diffusion Weighted ◽  
D Value

Background Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) can distinguish the false diffusion generated by microvascular blood flow from the true water molecule diffusion. Purpose To investigate the correlation between IVIM-DWI parameters and angiogenic markers such as the microvessel density and vascular endothelial growth factor (VEGF) expression in the murine embryonal rhabdomyosarcoma model. Material and Methods The murine embryonal rhabdomyosarcoma model was produced by subcutaneously injecting 107 human embryonal rhabdomyosarcoma cells into the right back of nude mice. The apparent diffusion coefficient (ADC), pseudo-diffusion coefficient (D*), true diffusion coefficient (D), and perfusion fraction (f) were obtained from 22 mice models using IVIM-DWI with b-values of 0, 50, 100, 150, 200, 400, 600, 800, 1000, and 1200 s/mm2. The microvessel density and VEGF expression were obtained by histologic examination. We then compared the correlation between IVIM-DWI parameters and microvessel density and VEGF expression. Results The average ADC, D*, D, and f values were 1.05 ± 0.27 × 10−3 mm2/s, 6.19 ± 1.78 × 10−3 mm2/s, 0.69 ± 0.09 ×10−3 mm2/s, and 17.68 ± 8.41 (%), respectively. There was moderate positive correlation between D* value and microvessel density and VEGF expression (r = 0.484, P = 0.023; r = 0.511, P = 0.015). However, there was no significant correlation between ADC, D, and f values and microvessel density and VEGF expression. Conclusion The D* value from IVIM-DWI may be used to evaluate tumor angiogenesis in the murine embryonal rhabdomyosarcoma model.

scholarly journals Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients

2021 ◽  
Author(s):  
Misha P. T. Kaandorp ◽  
Sebastiano Barbieri ◽  
Remy Klaassen ◽  
Hanneke W. M. Laarhoven ◽  
Hans Crezee ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Deep Learning ◽  
Cancer Patients ◽  
Intravoxel Incoherent Motion ◽  
Motion Modeling

scholarly journals Optimal Model Mapping for Intravoxel Incoherent Motion MRI

2021 ◽  
Vol 15 ◽  
Author(s):  
Yen-Peng Liao ◽  
Shin-ichi Urayama ◽  
Tadashi Isa ◽  
Hidenao Fukuyama
Keyword(s):  
Diffusion Model ◽  
Gaussian Model ◽  
Mapping Method ◽  
Intravoxel Incoherent Motion ◽  
Optimal Model ◽  
Gamma Model ◽  
Additional Information ◽  
Perfusion Fraction ◽  
Model Mapping ◽  
The Mean

In general, only one diffusion model would be applied to whole field-of-view voxels in the intravoxel incoherent motion-magnetic resonance imaging (IVIM-MRI) study. However, the choice of the applied diffusion model can significantly influence the estimated diffusion parameters. The quality of the diffusion analysis can influence the reliability of the perfusion analysis. This study proposed an optimal model mapping method to improve the reliability of the perfusion parameter estimation in the IVIM study. Six healthy volunteers (five males and one female; average age of 38.3 ± 7.5 years). Volunteers were examined using a 3.0 Tesla scanner. IVIM-MRI of the brain was applied at 17 b-values ranging from 0 to 2,500 s/mm2. The Gaussian model, the Kurtosis model, and the Gamma model were found to be optimal for the CSF, white matter (WM), and gray matter (GM), respectively. In the mean perfusion fraction (fp) analysis, the GM/WM ratios were 1.16 (Gaussian model), 1.80 (Kurtosis model), 1.94 (Gamma model), and 1.54 (Optimal model mapping); in the mean pseudo diffusion coefficient (D*) analysis, the GM/WM ratios were 1.18 (Gaussian model), 1.19 (Kurtosis model), 1.56 (Gamma model), and 1.24 (Optimal model mapping). With the optimal model mapping method, the estimated fp and D* were reliable compared with the conventional methods. In addition, the optimal model maps, the associated products of this method, may provide additional information for clinical diagnosis.

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