Intravoxel incoherent motion MRI for the differentiation of benign, intermediate, and malignant solid soft‐tissue tumors

Wu, Haibing; Zhang, Shuixing; Liang, Changhong; Liu, Hui; Liu, Yan‐Hui; Mei, Yingjie; Liu, Hongjun; Liu, Zaiyi; Xu, Fangping

doi:10.1002/jmri.25733

Cited by 20 publications

(44 citation statements)

References 31 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is limited information on the usefulness of IVIM for the characterization of soft tissue masses . As expected, the true diffusion, similar to ADC values, tends to be lower for malignant soft tissue masses, compared with benign soft tissue masses, while the perfusion fraction is higher for malignant soft tissue masses, compared with benign soft tissue masses .…”

Section: Quantitative Mri Biomarkersmentioning

confidence: 74%

“…IVIM MRI is based on a biexponential model of DWI using several low b‐values (<200 s/mm 2 ) that are sensitive to capillary perfusion and high b‐values (>200 s/mm 2 ) that are sensitive to true water diffusion . The DWI acquisition of IVIM data can use up to 11 b‐values with scan times of 5 minutes.…”

Section: Quantitative Mri Biomarkersmentioning

confidence: 99%

“…IVIM MRI is based on a biexponential model of DWI using several low b-values (<200 s/mm 2 ) that are sensitive to capillary perfusion and high b-values (>200 s/mm 2 ) that are sensitive to true water diffusion. [44][45][46][47] The DWI acquisition of IVIM data can use up to 11 b-values with scan times of 5 minutes. An ADC value obtained from a monoexponential DWI paradigm reflects molecule diffusion related to Brownian motion, but does not account for additional factors such as incoherent motion from perfusion.…”

Section: Intravoxel Incoherent Motion (Ivim)mentioning

confidence: 99%

See 2 more Smart Citations

Magnetic resonance imaging biomarkers in musculoskeletal soft tissue tumors: Review of conventional features and focus on nonmorphologic imaging

Ahlawat

Fritz

Morris

et al. 2019

Magnetic Resonance Imaging

View full text Add to dashboard Cite

The majority of peripheral musculoskeletal soft tissue masses encountered in routine clinical practice are benign and associated with an excellent prognosis, whereas a small proportion of soft tissue masses are malignant and are associated with higher morbidity and mortality. Owing to the excellent tissue contrast resolution provided, magnetic resonance imaging (MRI) is a primary modality for the diagnostic evaluation of soft tissue masses, particularly for defining the anatomic extent. MRI is also useful for the characterization of soft tissue masses; however, after the exclusion of cysts and lipomas, it is challenging to accurately categorize neoplastic lesions as benign or malignant with conventional anatomic MRI. Quantitative MRI biomarkers obtained with nonconventional pulse sequences are becoming increasingly available, and can improve the accuracy of determining the character of soft tissue masses. In this article we discuss established qualitative and emerging quantitative MRI‐based biomarkers available with dynamic contrast‐enhanced MRI, diffusion‐weighted imaging, and MR spectroscopy and their utility for the characterization of untreated soft tissue masses. Level of Evidence: 5 Technical Efficacy Stage: 5 J. Magn. Reson. Imaging 2019;50:11–27.

show abstract

Section: Quantitative Mri Biomarkersmentioning

confidence: 74%

Section: Quantitative Mri Biomarkersmentioning

confidence: 99%

Section: Intravoxel Incoherent Motion (Ivim)mentioning

confidence: 99%

See 1 more Smart Citation

Magnetic resonance imaging biomarkers in musculoskeletal soft tissue tumors: Review of conventional features and focus on nonmorphologic imaging

Ahlawat

Fritz

Morris

et al. 2019

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

“…Besides the echo time, also the applied field strength in IVIM studies varies widely in published reports. In most of the published studies, field strengths of 1.5T or 3T were used.…”

mentioning

confidence: 99%

On the Field Strength Dependence of Bi‐ and Triexponential Intravoxel Incoherent Motion (IVIM) Parameters in the Liver

Riexinger

Martin

Rauh

et al. 2019

Magnetic Resonance Imaging

View full text Add to dashboard Cite

Background Studies on intravoxel incoherent motion (IVIM) imaging are carried out with different acquisition protocols. Purpose To investigate the dependence of IVIM parameters on the B0 field strength when using a bi‐ or triexponential model. Study Type Prospective. Study Population 20 healthy volunteers (age: 19–28 years). Field Strength/Sequence Volunteers were examined at two field strengths (1.5 and 3T). Diffusion‐weighted images of the abdomen were acquired at 24 b‐values ranging from 0.2 to 500 s/mm2. Assessment ROIs were manually drawn in the liver. Data were fitted with a bi‐ and a triexponential IVIM model. The resulting parameters were compared between both field strengths. Statistical Tests One‐way analysis of variance (ANOVA) and Kruskal–Wallis test were used to test the obtained IVIM parameters for a significant field strength dependency. Results At b‐values below 6 s/mm2, the triexponential model provided better agreement with the data than the biexponential model. The average tissue diffusivity was D = 1.22/1.00 μm2/msec at 1.5/3T. The average pseudodiffusion coefficients for the biexponential model were D* = 308/260 μm2/msec at 1.5/3T; and for the triexponential model D1* = 81.3/65.9 μm2/msec, D2* = 2453/2333 μm2/msec at 1.5/3T. The average perfusion fractions for the biexponential model were f = 0.286/0.303 at 1.5/3T; and for the triexponential model f1 = 0.161/0.174 and f2 = 0.152/0.159 at 1.5/3T. A significant B0 dependence was only found for the biexponential pseudodiffusion coefficient (ANOVA/KW P = 0.037/0.0453) and tissue diffusivity (ANOVA/KW: P < 0.001). Data Conclusion Our experimental results suggest that triexponential pseudodiffusion coefficients and perfusion fractions obtained at different field strengths could be compared across different studies using different B0. However, it is recommended to take the field strength into account when comparing tissue diffusivities or using the biexponential IVIM model. Considering published values for oxygenation‐dependent transversal relaxation times of blood, it is unlikely that the two blood compartments of the triexponential model represent venous and arterial blood. Level of Evidence: 1 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2019;50:1883–1892.

show abstract

“…On the other hand, dynamic contrast-enhanced (DCE) MRI, used in most studies on tumor microvasculature, also provides information on the permeability and surface area of microvessels [7]. Still, promising results on tumor tissue characterization based on IVIM have been shown that warrant further studies [8][9][10].…”

mentioning

confidence: 99%

Comparison of methods for estimation of the intravoxel incoherent motion (IVIM) diffusion coefficient (D) and perfusion fraction (f)

Jalnefjord

Andersson

Montelius

et al. 2018

Magn Reson Mater Phy

View full text Add to dashboard Cite

Objective Intravoxel incoherent motion (IVIM) shows great potential in many applications, e.g., tumor tissue characterization. To reduce image-quality demands, various IVIM analysis approaches restricted to the diffusion coefficient (D) and the perfusion fraction (f) are increasingly being employed. In this work, the impact of estimation approach for D and f is studied. Materials and methods Four approaches for estimating D and f were studied: segmented IVIM fitting, least-squares fitting of a simplified IVIM model (sIVIM), and Bayesian fitting of the sIVIM model using marginal posterior modes or posterior means. The estimation approaches were evaluated in terms of bias and variability as well as ability for differentiation between tumor and healthy liver tissue using simulated and in vivo data. Results All estimation approaches had similar variability and ability for differentiation and negligible bias, except for the Bayesian posterior mean of f, which was substantially biased. Combined use of D and f improved tumor-to-liver tissue differentiation compared with using D or f separately. Discussion The similar performance between estimation approaches renders the segmented one preferable due to lower numerical complexity and shorter computational time. Superior tissue differentiation when combining D and f suggests complementary biologically relevant information.

show abstract

Intravoxel incoherent motion MRI for the differentiation of benign, intermediate, and malignant solid soft‐tissue tumors

Abstract: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1611-1618.

Cited by 20 publications

References 31 publications

Magnetic resonance imaging biomarkers in musculoskeletal soft tissue tumors: Review of conventional features and focus on nonmorphologic imaging

Magnetic resonance imaging biomarkers in musculoskeletal soft tissue tumors: Review of conventional features and focus on nonmorphologic imaging

On the Field Strength Dependence of Bi‐ and Triexponential Intravoxel Incoherent Motion (IVIM) Parameters in the Liver

Comparison of methods for estimation of the intravoxel incoherent motion (IVIM) diffusion coefficient (D) and perfusion fraction (f)

Contact Info

Product

Resources

About