Dependence of intravoxel incoherent motion diffusion MR threshold <i>b</i>-value selection for separating perfusion and diffusion compartments and liver fibrosis diagnostic performance

Wáng, Yì Xiáng J.; Lǐ, Yáo T.; Chevallier, Olivier; Hua, Huang; Leung, Jason; Chen, Weitian; Lu, Pu-Xuan

doi:10.1177/0284185118774913

Cited by 20 publications

(40 citation statements)

References 30 publications

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“…Thus, our results further support the adoption of threshold b of 60 s/mm 2 [17][18][19]. Segmented fitting with threshold b of 60 s/mm 2 are further presented in Fig-3; and used as primary results for this study.…”

Section: Methodssupporting

confidence: 76%

“…For part-2, starting from non-zero very low b-value, the relationship between DWI signal and b-value follows a biexponential decay [5,10,[15][16][17][18]. It has also been empirically showed that, as compared with the commonly used threshold b-value of 200 s/mm 2 for segmented fitting, the threshold b-value of 60 s/mm 2 to separate slow and fast components performed better in separating normal livers and fibrotic livers [17,18,19]. Liver physiological MRI measures may differ in males and females and may differ in young adults and older adults [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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Age and gender dependence of liver diffusion parameters and the evidence of intravoxel incoherent motion modelling of perfusion component is constrained by diffusion component

Hua

Zheng

Wang

et al. 2020

Preprint

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ObjectivesTo establish reference values for middle aged subjects and investigate age and gender dependence of liver diffusion MRI parameters.MethodsThe IVIM type of liver diffusion scan was based on a single-shot spin-echo type echo-planar sequence using a 1.5-T magnet with 16 b-values. DDVD (diffusion-derived vessel density) was the signal difference between b=0 and b=2 s/mm2 images after removing visible vessels. IVIM analysis was performed with full-fitting and segmented-fitting, and with threshold b-value of 60 or 200 s/mm2, and fitting started from b=2 s/mm2. 32 men (age range: 25-71 years) and 26 men (age: 22-69 years) had DDVD and IVIM analysis respectively, while 36 women (age: 20-71 years) had DDVD and IVIM analysis.ResultsDDVD had an age-related reduction noted for women. IVIM results of full fitting had good agreement with segmented fitting with threshold b of 60 s/mm2 results, but less so with results of threshold b of 200 s/mm2. As age increases, female subjects’ Dslow measure had significant reduction, and PF and Dfast measure had significant increase. For the age group of 40-55 years, DDVD, Dslow, PF, and Dfast were 12.27±3.90, 1.072±0.067 (10−3mm2/s), 0.141±0.025, 61.0±14.0 (10−3mm2/s), and 13.4±3.6, 1.069±0.074 mm2/s, 0.119±0.014, 57.1±13.2 mm2/s, for men and women, respectively.ConclusionDDVD measure suggest that aging may be associated with reduction in liver perfusion. Lower Dslow measurement can lead to artificial higher PF and Dfast measurement, providing the evidence of IVIM modeling of perfusion component is constrained by diffusion component.

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Section: Methodssupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Age and gender dependence of liver diffusion parameters and the evidence of intravoxel incoherent motion modelling of perfusion component is constrained by diffusion component

Hua

Zheng

Wang

et al. 2020

Preprint

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“…The optimal threshold b-value for liver IVIM analysis remain undecided. In our recent report it was empirically demonstrated that compared with the commonly increases the mean distance between healthy liver datapoints cluster and fibrotic liver datapoints cluster (23). This study, using a new set of healthy volunteers and patients' data, confirmed the superiority of using threshold b-value =60 s/mm 2 instead of threshold b-value =200 s/mm 2 for detecting liver fibrosis.…”

Section: Discussionsupporting

confidence: 63%

“…The same as our last study (15), among the three IVIM parameters, PF also showed best diagnostic performance in this study. According to previous estimation, Dfast should be the most sensitive parameter for liver fibrosis evaluation (14,15,23); however, precise measurement of Dfast is difficult and this current study did not include sufficient very low b-values for precise Dfast quantification (33,34). More b-values and applying an optimized b-value distribution shall be able to reduce errors in IVIM parameter estimation.…”

Section: Discussionmentioning

confidence: 89%

High performance of intravoxel incoherent motion diffusion MRI in detecting viral hepatitis-b induced liver fibrosis

et al. 2019

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Background: Recently a small cohort study demonstrated that intravoxel incoherent motion (IVIM) diffusion MRI can detect early stage liver fibrosis. Using modified IVIM data acquisition parameters, the current study aims to confirm this finding. Methods: Twenty-six healthy volunteers, three patients of chronic viral hepatitis-b but without fibrosis and one mild liver steatosis subject, and 12 viral hepatitis-b patients with fibrosis (stage 1-2=7, stage 3-4=5) were included in this study. With a 1.5-T MR scanner and respiration-gating, IVIM diffusion imaging was acquired using a single-shot echo-planar sequence with a b-value series of 2, 0

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“…On the other hand, with empirical data analysis Wang et al reported that a threshold b-value of 60 s/mm 2 improves differentiation between healthy livers and fibrotic livers. 28,29 In the current study, for comparison purposes the most commonly used 200 s/mm 2 was adopted. Different numbers of slices were included for each scan's analysis, and this could have slightly influenced the IVIM parameter values ( Supplementary Document 4).…”

Section: Discussionmentioning

confidence: 99%

Comparison of tri‐exponential decay versus bi‐exponential decay and full fitting versus segmented fitting for modeling liver intravoxel incoherent motion diffusion MRI

et al. 2019

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Objectives To determine whether bi‐ or tri‐exponential models, and full or segmented fittings, better fit the intravoxel incoherent motion (IVIM) imaging signal of healthy livers. Methods Diffusion‐weighted images were acquired with a 3 T scanner using a respiratory‐triggered echo‐planar sequence and 16 b‐values (0–800 s/mm2). Eighteen healthy volunteers had their livers scanned twice in the same session, and then once in another session. Liver parenchyma region‐of‐interest‐based measurements were processed with bi‐exponential and tri‐exponential models, with both full fitting and segmented fitting (threshold b‐value = 200 s/mm2). Results With the signal of all scans averaged, bi‐exponential model full fitting showed Dslow = 1.14 × 10−3 mm2/s, Dfast = 193.6 × 10−3 mm2/s, and perfusion fraction (PF) = 16.9%, and segmented fitting showed Dslow = 0.98 × 10−3 mm2/s, Dfast = 42.2 × 10−3 mm2/s, and PF = 23.3%. IVIM parameters derived from the tri‐exponential model were similar for full fitting and segmented fitting, with slow (D'slow = 0.98 × 10−3 mm2/s; F'slow = 76.4 or 76.6%), fast (D'fast = 15.1 or 15.4 × 10−3 mm2/s; F'fast = 11.8 or 11.7%) and very fast (D'Vfast = 445.0 or 448.8 × 10−3 mm2/s; F'Vfast = 11.8 or 11.7%) diffusion compartments. The tri‐exponential model provided an overall better fit than the bi‐exponential model. For the bi‐exponential model, full fitting provided a better fit at very low and low b‐values compared with segmented fitting, with the latter tending to underestimate Dfast; however, the segmented method demonstrated lower error in signal prediction for high b‐values. Compared with full fitting, tri‐exponential segmented fitting offered better scan‐rescan reproducibility. Conclusion For healthy liver, tri‐exponential modeling is preferred to bi‐exponential modeling. For the bi‐exponential model, segmented fitting underestimates Dfast, but offers a more accurate estimation of Dslow.

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Dependence of intravoxel incoherent motion diffusion MR threshold b-value selection for separating perfusion and diffusion compartments and liver fibrosis diagnostic performance

Abstract: For segmented-unconstrained analysis, the selection of threshold b-value = 60 s/mm improves IVIM differentiation between healthy livers and fibrotic livers.

Cited by 20 publications

References 30 publications

Age and gender dependence of liver diffusion parameters and the evidence of intravoxel incoherent motion modelling of perfusion component is constrained by diffusion component

Age and gender dependence of liver diffusion parameters and the evidence of intravoxel incoherent motion modelling of perfusion component is constrained by diffusion component

High performance of intravoxel incoherent motion diffusion MRI in detecting viral hepatitis-b induced liver fibrosis

Comparison of tri‐exponential decay versus bi‐exponential decay and full fitting versus segmented fitting for modeling liver intravoxel incoherent motion diffusion MRI

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