Investigation of prostate cancer using diffusion-weighted intravoxel incoherent motion imaging

Döpfert, Jörg; Lemke, Andreas; Weidner, Anja; Schad, Lothar R.

doi:10.1016/j.mri.2011.06.001

Cited by 102 publications

(98 citation statements)

References 31 publications

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“…ADC P of PC was not significantly different in PC compared to the peripheral or central zone of AC. A recently published study by Döpfert et al comparing the monoexponential model and the IVIM model showed comparable result with high variation in the perfusion fraction of the biexponential model and significant differences in PCa and in healthy tissue applying the monoexponential model [36]. They concluded that the monoexponential model provide a better diagnostic performance.…”

Section: Discussionmentioning

confidence: 89%

Comparison of different mathematical models of diffusion-weighted prostate MR imaging

Quentin

Blondin

Klasen

et al. 2012

Magnetic Resonance Imaging

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Section: Discussionmentioning

confidence: 89%

Comparison of different mathematical models of diffusion-weighted prostate MR imaging

Quentin

Blondin

Klasen

et al. 2012

Magnetic Resonance Imaging

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“…Several investigations of the clinical utility of IVIM in patients with HNSCC were also reported [9,15,23]. However, thorough comparisons of perfusion-related parameters obtained using IVIM with other modalities has not been conducted, although a few relevant studies were described for brain tissue, brain tumor, and prostate cancer; these studies assessed IVIM parameters by comparing a dynamic contrast perfusion technique or histopathological findings [13,14,24]. In particular, there has been no report comparing the perfusion-related parameters of IVIM to other modalities for the confirmation of its correlation in patients with HNSCC.…”

Section: Discussionmentioning

confidence: 99%

“…Several comparative studies were performed to investigate the correlation of perfusion estimation by IVIM in, for example, normal brain tissue, brain tumor, and prostate cancer [12][13][14]. Although a few investigations of the clinical utility of IVIM imaging in patients with HNSCC were performed [9,15], no study has assessed the correlation of IVIM parameters in HNSCC by comparing IVIM imaging results to other modalities, such as MR perfusion (DCE perfusion and dynamic susceptibility contrast perfusion) or CT perfusion.…”

Section: Introductionmentioning

confidence: 99%

Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: Assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI

Fujima

Yoshida

Sakashita

et al. 2014

Magnetic Resonance Imaging

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Purpose: To investigate the correlation between perfusion-related parameters obtained with intravoxel incoherent motion (IVIM) and classical perfusion parameters obtained with dynamic contrast-enhanced (DCE) MRI in patients with head and neck squamous cell carcinoma (HNSCC), and to compare direct and asymptotic fitting, the pixel-by-pixel approach, and a region of interest (ROI)-based approach respectively for IVIM parameter calculation. Materials and Methods:Seventeen patients with HNSCC were included in this retrospective study. All MR scanning was performed using a 3T MR unit. Acquisition of IVIM was performed using single-shot spin-echo echo-planar imaging with three orthogonal gradients with 12 b-values (0, 10, 20, 30, 50, 80, 100, 200, 400, 800, 1000, and 2000). Perfusion-related parameters of perfusion fraction 'f' and the pseudo-diffusion coefficient 'D*' were calculated from IVIM data by using least square fitting with the two fitting methods of direct and asymptotic fitting, respectively. DCE perfusion was performed in a total of 64 dynamic phases with a 3.2-s phase interval.The two-compartment exchange model was used for the quantification of tumor blood volume (TBV) and tumor blood flow (TBF). Each tumor was delineated with a polygonal ROI for the calculation of f, f･D* performed using both the pixel-by-pixel approach and the ROI-based approach. In the pixel-by-pixel approach, after fitting each pixel to obtain f, f･D* maps, the mean value in the delineated ROI on these maps was calculated. In the ROI-based approach, the mean value of signal intensity was calculated within the ROI for each b-value in IVIM images, and then fitting was performed using these values. Correlations between f in a total of four combinations (direct or asymptotic fitting and pixel-by-pixel or ROI-based approach) and TBV were respectively analyzed using Pearson's correlation coefficients. Correlations between f･ D* and TBF were also similarly analyzed. Results:In all combinations of f and TBV, f･D* and TBF, there was a significant correlation. In the comparison of f and TBV, a moderate correlation was observed only between f obtained by direct fitting with the pixel-by-pixel approach, whereas a good correlation was observed in the comparisons using the other three combinations. In the comparison of f･D* and TBF, a good correlation was observed only with f･D* obtained by asymptotic fitting with the ROI-based approach. In contrast, moderate correlations were observed in the comparisons using the other three combinations. Conclusion:IVIM was found to be feasible for the analysis of perfusion-related parameters in patients with HNSCC. Especially, the combination of asymptotic fitting with the ROI-based approach was better correlated with DCE perfusion.

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“…In theory, 4 b-values would be sufficient to fit a biexponential function 7 ; however, including more b-values would make the fit process more robust and enables estimates of parameter uncertainties or quality. This could especially be important for reliable diagnoses and in cases where errors are expected due to, for example, noise, or patient, for example, respiratory and/or cardiac motion.…”

Section: Intravoxel Incoherent Motion Protocol Evaluation and Data Qumentioning

confidence: 99%

Intravoxel Incoherent Motion Protocol Evaluation and Data Quality in Normal and Malignant Liver Tissue and Comparison to the Literature

Voert¹,

Delso²,

Porto

et al. 2016

Investigative Radiology

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OBJECTIVES: Although intravoxel incoherent motion (IVIM) becomes more and more popular, there is currently no clear consensus on the number and distribution of b-values to use. In this work, we (1) tested and evaluated the data quality of a 25-b-value IVIM protocol in patients with malignant liver lesions and normal liver tissue as a standard of reference, (2) calculated an optimal b-value distribution and compared with the standard of reference, and (3) compared the 25-b-value protocol with other proposed protocols in the literature. MATERIALS AND METHODS: Intravoxel incoherent motion imaging with 25 b-values was performed at 3 T in a total of 15 patients with malignant liver lesions. Reference IVIM parameter maps were calculated in tumor and normal liver tissue. With these parameters, optimal IVIM protocols with reduced numbers of b-values were calculated. These optimal IVIM protocols were again applied to calculate new IVIM parameter maps that were compared with the reference parameter maps by calculating mean relative errors. In addition, 35 other IVIM protocols, as found in literature, were compared in a similar way with the 25-b-value protocol serving as a standard of reference. RESULTS: The mean relative error depends on the number of b-values and their distribution. In tumor tissue, the error is higher and more variable than in normal-appearing liver tissue. The largest errors occur in tumor tissue and in the protocols having low numbers of b-values in the IVIM protocols. In the calculated optimal IVIM protocols, the mean relative errors decreased by 40% or more when the number of b-values included increased from 4 to 16. The mean relative errors in the protocols adapted from the literature vary substantially between the various b-value distributions. One optimized 16-b-value protocol, which was found in literature, reduced the average relative error by 80% when compared with 4-and 5-b-value protocols listed in literature. CONCLUSIONS: Including more b-values and applying an optimized b-value distribution significantly reduces errors in the IVIM parameter estimates, thereby increasing its accuracy.This effect is even more pronounced in inhomogeneous tumor compared with that in normal liver tissue. However, when restrictions in acquisition time or patient-related factors apply, a minimum of 16 b-values should be considered for reliable results.

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Investigation of prostate cancer using diffusion-weighted intravoxel incoherent motion imaging

Cited by 102 publications

References 31 publications

Comparison of different mathematical models of diffusion-weighted prostate MR imaging

Comparison of different mathematical models of diffusion-weighted prostate MR imaging

Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: Assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI

Intravoxel Incoherent Motion Protocol Evaluation and Data Quality in Normal and Malignant Liver Tissue and Comparison to the Literature

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