How liver pathologies contribute to T1rho contrast require more careful studies

Wáng, Yì Xiáng J.; Chen, Weitian; Deng, Min

doi:10.21037/qims.2017.10.02

Cited by 16 publications

(24 citation statements)

References 21 publications

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“…For cases with ambiguous DDVD results, additional IVIM scans can be included. It is also likely that a multiparametric approach will have even better accuracy for evaluating the spectrum of chronic liver disease, [21][22][23][24][25] such as a combination of IVIM, 9,10,13,14,22,25 liver T1/T1rho/T2 relaxivity, [26][27][28][29][30][31] and elastography, 32,33 which may offer full analysis of liver parenchyma characteristics.…”

Section: Discussionmentioning

confidence: 99%

Diffusion MRI Derived per Area Vessel Density as a Surrogate Biomarker for Detecting Viral Hepatitis B-Induced Liver Fibrosis: A Proof-of-Concept Study

et al. 2020

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Section: Discussionmentioning

confidence: 99%

Diffusion MRI Derived per Area Vessel Density as a Surrogate Biomarker for Detecting Viral Hepatitis B-Induced Liver Fibrosis: A Proof-of-Concept Study

et al. 2020

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“…Another prospective study using a validation group of NAFLD patients is needed to validate the results of this study. Third, it is well known that hepatic iron deposition can be increased associated with liver disease 36 , and age, gender, and menopause for female may affect hepatic iron deposition 37,38 , which in turn may affect MRI measurements. However, it was not possible to perform subgroup analyses according to age, gender, and menopause due to small number of patients.…”

Section: Discussionmentioning

confidence: 99%

Multiparametric MR Index for the Diagnosis of Non-Alcoholic Steatohepatitis in Patients with Non-Alcoholic Fatty Liver Disease

Kim

Park

Kim

et al. 2020

Sci Rep

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Non-alcoholic steatohepatitis (NASH) is a complex disease consisting of various components including steatosis, lobular inflammation, and ballooning degeneration, with or without fibrosis. Therefore, it is difficult to diagnose NASH with only one imaging modality. This study was aimed to evaluate the feasibility of magnetic resonance imaging (MRI) for predicting NASH and to develop a non-invasive multiparametric MR index for the detection of NASH in non-alcoholic fatty liver disease (NAFLD) patients. This prospective study included 47 NAFLD patients who were scheduled to undergo or underwent ultrasound-guided liver biopsy within 2 months. Biopsy specimens were graded as NASH or non-NASH. All patients underwent non-enhanced MRI including MR spectroscopy (MRS), MR elastography (MRE), and T1 mapping. Diagnostic performances of MRS, MRE, and T1 mapping for grading steatosis, activity, and fibrosis were evaluated. A multiparametric MR index combining fat fraction (FF), liver stiffness (LS) value, and T1 relaxation time was developed using linear regression analysis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of the newly devised MR index. Twenty NASH patients and 27 non-NASH patients were included. Using MRS, MRE, and T1 mapping, the mean areas under the curve (AUCs) for grading steatosis, fibrosis, and activity were 0.870, 0.951, and 0.664, respectively. The multiparametric MR index was determined as 0.037 × FF (%) + 1.4 × LS value (kPa) + 0.004 × T1 relaxation time (msec) −3.819. ROC curve analysis of the MR index revealed an AUC of 0.883. The cutoff value of 6 had a sensitivity of 80.0% and specificity of 85.2%. The multiparametric MR index combining FF, LS value, and T1 relaxation time showed high diagnostic performance for detecting NASH in NAFLD patients.

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“…The use of Bayesian prediction, incorporating relevant findings from the available methods, is also a promising approach (40). The Bayesian prediction provides probabilities and allow weighting of the different methods, such as IVIM (14,15), liver T1/T2 relaxivity (38,41,42), T1rho (43)(44)(45)(46)(47) and elastography (28)(29)(30) readouts, therefore realizing multi-parameter diagnosis.…”

Section: Discussionmentioning

confidence: 99%

“…MR imaging was performed with a 1.5-T magnet (Achieva, Philips Healthcare, Best, Netherlands). The IVIM diffusion imaging was based on a single-shot spinecho type echo-planar sequence, with 15 b-values of 2, 0, 1,15,20,30,45,50,60,80,100,200, 300, 600, 800 s/mm 2 . This b-values series was designed aiming to overcome the perceived shortcoming of our initial report where b =0 s/ mm 2 was not acquired (15), and the first b=2 s/mm 2 was used as a pre-scan to stabilize magnetization.…”

Section: Methodsmentioning

confidence: 99%

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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How liver pathologies contribute to T1rho contrast require more careful studies

Cited by 16 publications

References 21 publications

Diffusion MRI Derived per Area Vessel Density as a Surrogate Biomarker for Detecting Viral Hepatitis B-Induced Liver Fibrosis: A Proof-of-Concept Study

Diffusion MRI Derived per Area Vessel Density as a Surrogate Biomarker for Detecting Viral Hepatitis B-Induced Liver Fibrosis: A Proof-of-Concept Study

Multiparametric MR Index for the Diagnosis of Non-Alcoholic Steatohepatitis in Patients with Non-Alcoholic Fatty Liver Disease

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

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