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Vasquez JA, Brown M, Woolsey M, Abdul-Ghani M, Katabathina V, Deng S, Blangero J, Clarke GD. Reproducibility and Repeatability of Intravoxel Incoherent Motion MRI Acquisition Methods in Liver. J Magn Reson Imaging 2024; 60:1691-1703. [PMID: 38240167 PMCID: PMC11258206 DOI: 10.1002/jmri.29249] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Intravoxel incoherent motion (IVIM) diffusion weighted MRI (DWI) has potential for evaluating hepatic fibrosis but image acquisition technique influence on diffusion parameter estimation bears investigation. PURPOSE To minimize variability and maximize repeatably in abdominal DWI in terms of IVIM parameter estimates. STUDY TYPE Prospective test-retest and image quality comparison. SUBJECTS Healthy volunteers (3F/7M, 29.9 ± 12.9 years) and Family Study subjects (18F/12M, 51.7 ± 16.7 years), without and with liver steatosis. FIELD STRENGTH/SEQUENCE Abdominal single-shot echo-planar imaging (EPI) and simultaneous multi-slice (SMS) DWI sequences with respiratory triggering (RT), breath-holding (BH), and navigator echo (NE) at 3 Tesla. ASSESSMENT SMS-BH, EPI-NE, and SMS-RT data from twice-scanned healthy volunteers were analyzed using 6 × b-values (0-800 s⋅mm-2) and lower (LO) and higher (HI) b-value ranges. Family Study subjects were scanned using SMS and standard EPI sequences. The biexponential IVIM model was used to estimate fast-diffusion coefficient (Df), fraction of fast diffusion (f), and slow-diffusion coefficient (Ds). Scan time, estimated signal-to-noise ratio (eSNR), eSNR per acquisition, and distortion ratio were compared. STATISTICAL TESTS Coefficients of variation (CoV) and Bland Altman analyses were performed for test-retest repeatability. Interclass correlation coefficient (ICC) assessed interobserver agreement with P < 0.05 deemed significant. RESULTS Within-subject CoVs among volunteers (N = 10) for f and Ds were lowest in EPI-NE-LO (11.6%) and SMS-RT-HI (11.1%). Inter-observer ICCs for f and Ds were highest for EPI-NE-LO (0.63) and SMS-RT-LO (0.76). Df could not be estimated for most subjects. Estimated eSNR (EPI = 21.9, SMS = 4.7) and eSNR time (EPI = 6.7, SMS = 16.6) were greater for SMS, with less distortion in the liver region (DR-PE: EPI = 23.6, SMS = 13.1). DATA CONCLUSION Simultaneous multislice acquisitions had significantly less variability and higher ICCs of Ds, higher eSNR, less distortion, and reduced scan time compared to EPI. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Juan A. Vasquez
- Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Marissa Brown
- Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Mary Woolsey
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Mohammad Abdul-Ghani
- Diabetes Division, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Venkata Katabathina
- Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Shengwen Deng
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - John Blangero
- Department of Human Genetics, School of Medicine, The University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Geoffrey D. Clarke
- Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
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Wang Q, Yu G, Qiu J, Lu W. Application of Intravoxel Incoherent Motion in Clinical Liver Imaging: A Literature Review. J Magn Reson Imaging 2024; 60:417-440. [PMID: 37908165 DOI: 10.1002/jmri.29086] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 10/01/2023] [Accepted: 10/02/2023] [Indexed: 11/02/2023] Open
Abstract
Intravoxel incoherent motion (IVIM) modeling is a widely used double-exponential model for describing diffusion-weighted imaging (DWI) signal, with a slow component related to pure molecular diffusion and a fast component associated with microcirculatory perfusion, which compensates for the limitations of traditional DWI. IVIM is a noninvasive technique for obtaining liver pathological information and characterizing liver lesions, and has potential applications in the initial diagnosis and treatment monitoring of liver diseases. Recent studies have demonstrated that IVIM-derived parameters are useful for evaluating liver lesions, including nonalcoholic fatty liver disease (NAFLD), liver fibrosis and liver tumors. However, the results are not stable. Therefore, it is necessary to summarize the current applications of IVIM in liver disease research, identify existing shortcomings, and point out the future development direction. In this review, we searched for studies related to hepatic IVIM-DWI applications over the past two decades in the PubMed database. We first introduce the fundamental principles and influential factors of IVIM, and then discuss its application in NAFLD, liver fibrosis, and focal hepatic lesions. It has been found that IVIM is still unstable in ensuring the robustness and reproducibility of measurements in the assessment of liver fibrosis grade and liver tumors differentiation, due to inconsistent and substantial overlap in the range of IVIM-derived parameters for different fibrotic stages. In the end, the future direction of IVIM-DWI in the assessment of liver diseases is discussed, emphasizing the need for further research on the stability of IVIM-derived parameters, particularly perfusion-related parameters, in order to promote the clinical practice of IVIM-DWI. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Qi Wang
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Guanghui Yu
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Jianfeng Qiu
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Weizhao Lu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
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3
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Li Q, Zhang T, Che F, Yao S, Gao F, Nie L, Tang H, Wei Y, Song B. Intravoxel incoherent motion diffusion weighted imaging for preoperative evaluation of liver regeneration after hepatectomy in hepatocellular carcinoma. Eur Radiol 2023; 33:5222-5235. [PMID: 36892648 DOI: 10.1007/s00330-023-09496-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 12/07/2022] [Accepted: 01/30/2023] [Indexed: 03/10/2023]
Abstract
OBJECTIVES To explore whether intravoxel incoherent motion (IVIM) parameters could evaluate liver regeneration preoperatively. METHODS A total of 175 HCC patients were initially recruited. The apparent diffusion coefficient, true diffusion coefficient (D), pseudodiffusion coefficient (D*), pseudodiffusion fraction (f), diffusion distribution coefficient, and diffusion heterogeneity index (Alpha) were measured by two independent radiologists. Spearman's correlation test was used to assess correlations between IVIM parameters and the regeneration index (RI), calculated as 100% × (the volume of the postoperative remnant liver - the volume of the preoperative remnant liver) / the volume of the preoperative remnant liver. Multivariate linear regression analyses were used to identify the factors for RI. RESULTS Finally, 54 HCC patients (45 men and 9 women, mean age 51.26 ± 10.41 years) were retrospectively analyzed. The intraclass correlation coefficient ranged from 0.842 to 0.918. In all patients, fibrosis stage was reclassified as F0-1 (n = 10), F2-3 (n = 26), and F4 (n = 18) using the METAVIR system. Spearman correlation test showed D* (r = 0.303, p = 0.026) was associated with RI; however, multivariate analysis showed that only D value was a significant predictor (p < 0.05) of RI. D and D*showed moderate correlations with fibrosis stage (r = -0.361, p = 0.007; r = -0.457, p = 0.001). Fibrosis stage showed a negative correlation with RI (r = -0.263, p = 0.015). In the 29 patients who underwent minor hepatectomy, only the D value showed a positive association (p < 0.05) with RI, and a negative correlation with fibrosis stage (r = -0.360, p = 0.018). However, in the 25 patients who underwent major hepatectomy, no IVIM parameters were associated with RI (p > 0.05). CONCLUSIONS The D and D* values, especially the D value, may be reliable preoperative predictors of liver regeneration. KEY POINTS • The D and D* values, especially the D value, derived from IVIM diffusion-weighted imaging may be useful markers for the preoperative prediction of liver regeneration in patients with HCC. • The D and D* values derived from IVIM diffusion-weighted imaging show significant negative correlations with fibrosis, an important predictor of liver regeneration. • No IVIM parameters were associated with liver regeneration in patients who underwent major hepatectomy, but the D value was a significant predictor of liver regeneration in patients who underwent minor hepatectomy.
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Affiliation(s)
- Qian Li
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China
| | - Tong Zhang
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China
| | - Feng Che
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China
| | - Shan Yao
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China
| | - Feifei Gao
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China
| | - Hehan Tang
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China
| | - Yi Wei
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China.
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China.
- Department of Radiology, Sanya People's Hospital, Sanya, 572000, China.
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4
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Yang C, Wei XQ, Zheng J, Tao YY, Gong XQ, Li L, Li ZM, Yang L, Mao Q, Zhou MT, Zhang XM. A correlative study between IVIM-DWI parameters and VEGF and MMPs expression in hepatocellular carcinoma. Quant Imaging Med Surg 2023; 13:1887-1898. [PMID: 36915336 PMCID: PMC10006110 DOI: 10.21037/qims-22-271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 11/10/2022] [Indexed: 01/05/2023]
Abstract
Background Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related death worldwide. Angiogenic factors may be valuable indices of tumor recurrence and treatment and potentially useful markers for predicting the response to antiangiogenesis therapy. Vascular endothelial growth factor (VEGF) and matrix metalloproteinases (MMPs) are major drivers of tumor angiogenesis. Preoperatively predicting the expression of VEGF and MMPs is crucial for treating HCC. Intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) has been successfully used in the differential diagnosis of HCC, pathological grading, and treatment response evaluation. However, the correlations between IVIM-DWI parameters and VEGF and MMP expression have not been reported. This study provides a preliminary analysis of the correlation between IVIM-DWI parameters and the expression of VEGF, MMP-2, and MMP-9 to investigate the value of IVIM-DWI in the noninvasive evaluation of angiogenesis in HCC. Methods IVIM-DWI was performed in 61 patients with HCC 1 week before they underwent surgical resection. VEGF, MMP-2, and MMP-9 expression was detected using immunohistochemistry staining. Spearman correlation analysis was used to analyze the correlations between the IVIM-DWI parameters and VEGF, MMP-2, and MMP-9 expression in HCC. Results The fast apparent diffusion coefficient fraction (f) value was positively correlated with the expression of VEGF (P<0.001), MMP-2 (P=0.002), and MMP-9 (P<0.001). The fast apparent diffusion coefficient (D*) was positively correlated with VEGF (P<0.001) and MMP-9 (P<0.001) expression but was not correlated with MMP-2 (P=0.659) expression. The apparent diffusion coefficient (ADC) and slow apparent diffusion coefficient (D) values were not significantly correlated with the expression of VEGF (P=0.103 and P=0.543, respectively), MMP-2 (P=0.596 and P=0.338, respectively), or MMP-9 (P=0.102 and P=0.660, respectively). Conclusions IVIM-DWI can be used to noninvasively evaluate angiogenesis in HCC.
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Affiliation(s)
- Cui Yang
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology and Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.,Department of Radiology, Panzhihua Central Hospital, Panzhihua, China
| | - Xiao-Qin Wei
- School of Medical Imaging of North Sichuan Medical College, Nanchong, China
| | - Jing Zheng
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology and Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yun-Yun Tao
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology and Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xue-Qin Gong
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology and Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Li Li
- Department of Pathology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Zu-Mao Li
- Department of Pathology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Lin Yang
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology and Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Qi Mao
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology and Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Mao-Ting Zhou
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology and Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xiao-Ming Zhang
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology and Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
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Zou L, Jiang J, Zhang H, Zhong W, Xiao M, Xin S, Wang Y, Xing W. Comparing and combining MRE, T1ρ, SWI, IVIM, and DCE-MRI for the staging of liver fibrosis in rabbits: Assessment of a predictive model based on multiparametric MRI. Magn Reson Med 2021; 87:2424-2435. [PMID: 34931716 DOI: 10.1002/mrm.29126] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 11/27/2021] [Accepted: 11/29/2021] [Indexed: 12/19/2022]
Abstract
PURPOSE To establish and validate an optimal predictive model based on multiparametric MRI for staging liver fibrosis (LF) in rabbits with magnetic resonance elastography (MRE), spin-lattice relaxation time in the rotating frame (T1ρ imaging), SWI, intravoxel incoherent motion (IVIM), and DCE-MRI. METHODS The LF group included 120 rabbits induced by subcutaneous injections of carbon tetrachloride (CCl4 ); 30 normal rabbits served as the control group. Multiparametric MRI was performed, including MRE, T1ρ, SWI, IVIM, and DCE-MRI. The quantitative parameters were analyzed in two groups, with histopathological results serving as the reference standard. The diagnostic performance of multiparametric MRI and the predictive model established by multivariable logistic regression analysis were evaluated by receiver operating characteristic (ROC) curve analysis. RESULTS In total, 32, 67, and 51 rabbits were histologically diagnosed as no fibrosis (stage F0), early-stage LF (F1-F2), and advanced-stage LF (F3-F4), respectively. The LF stages presented a strong correlation with liver stiffness (LS) on MRE (r = 0.90), signal-intensity ratio (SIR) on SWI (r = -0.84), and Ktrans on DCE-MRI (r = 0.71; p < 0.05 for all). The LS and SIR parameters had higher AUC values for distinguishing early-stage LF from both no fibrosis (0.94 and 0.93, respectively) and advanced-stage LF (0.95 and 0.87, respectively). The predictive model showed a slightly higher AUC value of 0.97 (0.90-0.99) than LS and SIR in distinguishing early-stage LF from no fibrosis (p > 0.05), a significantly higher AUC value of 0.98 (0.93-0.99) than the SIR in distinguishing early-stage from advanced-stage LF (p < 0.05). CONCLUSION SWI, DCE-MRI, and MRE in particular showed improved performance for LF diagnosis and stage. The predictive model based on multiparametric MRI was found to further enhance diagnostic accuracy and could serve as an excellent imaging tool for staging LF.
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Affiliation(s)
- Liqiu Zou
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Jinzhao Jiang
- Department of Radiology, The University of Hong Kong Shenzhen Hospital, Shenzhen, China
| | - Hao Zhang
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Wenxin Zhong
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Min Xiao
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Shunbao Xin
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Yang Wang
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Wei Xing
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, China
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Merisaari H, Laakso H, Liljenbäck H, Virtanen H, Aronen HJ, Minn H, Poutanen M, Roivainen A, Liimatainen T, Jambor I. Statistical Evaluation of Different Mathematical Models for Diffusion Weighted Imaging of Prostate Cancer Xenografts in Mice. Front Oncol 2021; 11:583921. [PMID: 34123770 PMCID: PMC8188898 DOI: 10.3389/fonc.2021.583921] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 03/23/2021] [Indexed: 01/28/2023] Open
Abstract
Purpose To evaluate fitting quality and repeatability of four mathematical models for diffusion weighted imaging (DWI) during tumor progression in mouse xenograft model of prostate cancer. Methods Human prostate cancer cells (PC-3) were implanted subcutaneously in right hind limbs of 11 immunodeficient mice. Tumor growth was followed by weekly DWI examinations using a 7T MR scanner. Additional DWI examination was performed after repositioning following the fourth DWI examination to evaluate short term repeatability. DWI was performed using 15 and 12 b-values in the ranges of 0-500 and 0-2000 s/mm2, respectively. Corrected Akaike information criteria and F-ratio were used to evaluate fitting quality of each model (mono-exponential, stretched exponential, kurtosis, and bi-exponential). Results Significant changes were observed in DWI data during the tumor growth, indicated by ADCm, ADCs, and ADCk. Similar results were obtained using low as well as high b-values. No marked changes in model preference were present between the weeks 1−4. The parameters of the mono-exponential, stretched exponential, and kurtosis models had smaller confidence interval and coefficient of repeatability values than the parameters of the bi-exponential model. Conclusion Stretched exponential and kurtosis models showed better fit to DWI data than the mono-exponential model and presented with good repeatability.
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Affiliation(s)
- Harri Merisaari
- Department of Radiology, University of Turku, Turku, Finland.,Turku Brain and Mind Center, University of Turku, Turku, Finland
| | - Hanne Laakso
- Department of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Heidi Liljenbäck
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Helena Virtanen
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.,Turku Center for Disease Modeling, University of Turku, Turku, Finland
| | - Hannu J Aronen
- Department of Radiology, University of Turku, Turku, Finland.,Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland
| | - Heikki Minn
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.,Department of Oncology and Radiotherapy, Turku University Hospital, Turku, Finland
| | - Matti Poutanen
- Turku Center for Disease Modeling, University of Turku, Turku, Finland
| | - Anne Roivainen
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.,Turku Center for Disease Modeling, University of Turku, Turku, Finland
| | - Timo Liimatainen
- Department of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland.,Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.,Department of Clinical Radiology, Oulu University Hospital, Oulu, Finland.,Department of Radiology, University of Oulu, Oulu, Finland
| | - Ivan Jambor
- Department of Radiology, University of Turku, Turku, Finland.,Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland
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Abstract
Perfusion imaging allows for the quantitative extraction of physiological perfusion parameters of the liver microcirculation at levels far below the spatial the resolution of CT and MR imaging. Because of its peculiar structure and architecture, perfusion imaging is more challenging in the liver than in other organs. Indeed, the liver is a mobile organ and significantly deforms with respiratory motion. Moreover, it has a dual vascular supply and the sinusoidal capillaries are fenestrated in the normal liver. Using extracellular contrast agents, perfusion imaging has shown its ability to discriminate patients with various stages of liver fibrosis. The recent introduction of hepatobiliary contrast agents enables quantification of both the liver perfusion and the hepatocyte transport function using advanced perfusion models. The purpose of this review article is to describe the characteristics of liver perfusion imaging to assess chronic liver disease, with a special focus on CT and MR imaging.
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8
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Jiang J, Li J, Chu Z, Tao Z, Cai W, Zhu J, Grimm R, Ji Q. In vivo multiparametric magnetic resonance imaging study for differentiating the severity of hepatic warm ischemia-reperfusion injury in a rabbit model. Magn Reson Imaging 2020; 74:105-112. [PMID: 32931888 DOI: 10.1016/j.mri.2020.09.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 08/07/2020] [Accepted: 09/08/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To assess the value of multiparametric magnetic resonance imaging including intravoxel incoherent motion (IVIM), diffusion tensor imaging (DTI) and blood oxygen level dependent (BOLD) MRI in differentiating the severity of hepatic warm ischemia-reperfusion injury (WIRI) in a rabbit model. METHODS Fifty rabbits were randomly divided into a sham-operation group and four test groups (n = 10 for each group) according to different hepatic warm ischemia times. IVIM, DTI and BOLD MRI were performed on a 3 T MR scanner with 11 b values (0 to 800 s/mm2), 2 b values (0 and 500 s/mm2) on 12 diffusion directions, multiple-echo gradient echo (GRE) sequences (TR/TE, 75/2.57-24.25 ms), respectively. IVIM, DTI and BOLD MRI parameters, hepatic biochemical and histopathological parameters were compared. Pearson and Spearman correlation methods were performed to assess the correlation between these MRI parameters and laboratory parameters. Furthermore, receiver operating characteristic (ROC) curves were compiled to determine diagnostic efficacies. RESULTS True diffusion (Dslow), pseudodiffusion (Dfast), perfusion fraction (PF), mean diffusivity (MD) significantly decreased, while R2* significantly increased with prolonged warm ischemia times, and significant differences were found in all of biochemical and histopathological parameters (all P < 0.05). Dslow, PF, and R2* correlated significantly with all of biochemical and histopathological parameters (all |r| = 0.381-0.746, all P < 0.05). ROC analysis showed that the area under the ROC curve (AUC) of IVIM across hepatic WIRI groups was the largest among IVIM, DTI and BOLD. CONCLUSIONS Multiparametric MRI may be helpful with characterization of early changes and determination of severity of hepatic WIRI in a rabbit model.
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Affiliation(s)
- Jiabing Jiang
- First Central Clinical College of Tianjin Medical University, 24 Fukang Road, Nankai District, Tianjin, China; Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, China
| | - Jingyao Li
- First Central Clinical College of Tianjin Medical University, 24 Fukang Road, Nankai District, Tianjin, China; Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, China
| | - Zhiqiang Chu
- Department of Transplantation, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, China
| | - Zhengzheng Tao
- First Central Clinical College of Tianjin Medical University, 24 Fukang Road, Nankai District, Tianjin, China; Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, China
| | - Wenjuan Cai
- Department of Pathology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, China
| | - Jinxia Zhu
- Siemens Healthcare, MR Collaborations PA, Beijing, China
| | | | - Qian Ji
- Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, China.
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Tao YY, Zhou Y, Wang R, Gong XQ, Zheng J, Yang C, Yang L, Zhang XM. Progress of intravoxel incoherent motion diffusion-weighted imaging in liver diseases. World J Clin Cases 2020; 8:3164-3176. [PMID: 32874971 PMCID: PMC7441263 DOI: 10.12998/wjcc.v8.i15.3164] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 06/11/2020] [Accepted: 07/14/2020] [Indexed: 02/05/2023] Open
Abstract
Traditional magnetic resonance (MR) diffusion-weighted imaging (DWI) uses a single exponential model to obtain the apparent diffusion coefficient to quantitatively reflect the diffusion motion of water molecules in living tissues, but it is affected by blood perfusion. Intravoxel incoherent motion (IVIM)-DWI utilizes a double-exponential model to obtain information on pure water molecule diffusion and microcirculatory perfusion-related diffusion, which compensates for the insufficiency of traditional DWI. In recent years, research on the application of IVIM-DWI in the diagnosis and treatment of hepatic diseases has gradually increased and has achieved considerable progress. This study mainly reviews the basic principles of IVIM-DWI and related research progress in the diagnosis and treatment of hepatic diseases.
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Affiliation(s)
- Yun-Yun Tao
- Sichuan Key Laboratory of Medical Imaging, Department of Radiology and Medical Research Center of Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Yi Zhou
- Sichuan Key Laboratory of Medical Imaging, Department of Radiology and Medical Research Center of Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Ran Wang
- Sichuan Key Laboratory of Medical Imaging, Department of Radiology and Medical Research Center of Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Xue-Qin Gong
- Sichuan Key Laboratory of Medical Imaging, Department of Radiology and Medical Research Center of Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Jing Zheng
- Sichuan Key Laboratory of Medical Imaging, Department of Radiology and Medical Research Center of Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Cui Yang
- Sichuan Key Laboratory of Medical Imaging, Department of Radiology and Medical Research Center of Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Lin Yang
- Sichuan Key Laboratory of Medical Imaging, Department of Radiology and Medical Research Center of Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
| | - Xiao-Ming Zhang
- Sichuan Key Laboratory of Medical Imaging, Department of Radiology and Medical Research Center of Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
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Chen F, Chen YL, Chen TW, Li R, Pu Y, Zhang XM, Li HJ, Tang S, Cao JM, Yang JQ. Liver lobe based intravoxel incoherent motion diffusion weighted imaging in hepatitis B related cirrhosis: Association with child-pugh class and esophageal and gastric fundic varices. Medicine (Baltimore) 2020; 99:e18671. [PMID: 31914057 PMCID: PMC6959964 DOI: 10.1097/md.0000000000018671] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Liver cirrhosis is a common chronic progressive liver disease in clinical practice, and intravoxel incoherent motion (IVIM) is a promising magnetic resonance method to assess liver cirrhosis, so our purpose was to investigate association of liver-lobe-based IVIM-derived parameters with hepatitis-B-related cirrhosis and its severity, and esophageal and gastric fundic varices. Seventy-four patients with hepatitis-B-related cirrhotic and 25 healthy volunteers were enrolled and underwent upper abdominal IVIM diffusion-weighted imaging with b-values of 0, 20, 50, 80, 100, 200, 400, 600, and 800 s/mm. IVIM-derived parameters (D, pure molecular diffusion; D, pseudo diffusion; and f, perfusion fraction) of left lateral lobe (LLL), left medial lobe (LML), right lobe (RL), and caudate lobe (CL) were assessed statistically to show their associations with cirrhosis and its severity, and esophageal and gastric fundic varices. In this research, we found that D, D, and f values of LLL, LML, RL, and CL were lower in cirrhotic liver than in normal liver (all P-values <.05). D, D, and f values of LLL, LML, RL, and CL were inversely correlated with Child-Pugh class of cirrhosis (r = -0.236 to -0.606, all P-values <.05). D of each liver lobe, D of LLL and CL, and f of LLL, LML, and CL in patients with esophageal and gastric fundic varices were lower than without the varices (all P-values <.05). D values of RL and CL could best identify cirrhosis, and identify esophageal and gastric fundic varices with areas under receiver-operating characteristic curve of 0.857 and 0.746, respectively. We concluded that liver-lobe-based IVIM-derived parameters can be associated with cirrhosis, and esophageal and gastric fundic varices.
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Affiliation(s)
- Fan Chen
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing
| | - Yan-li Chen
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing
| | - Tian-wu Chen
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan
| | - Rui Li
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan
| | - Yu Pu
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan
| | - Xiao-ming Zhang
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan
| | - Hong-jun Li
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Sun Tang
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan
| | - Jin-ming Cao
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan
| | - Jian-qiong Yang
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan
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11
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Tosun M, Onal T, Uslu H, Alparslan B, Çetin Akhan S. Intravoxel incoherent motion imaging for diagnosing and staging the liver fibrosis and inflammation. Abdom Radiol (NY) 2020; 45:15-23. [PMID: 31705248 DOI: 10.1007/s00261-019-02300-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE To evaluate the diagnostic accuracy of intravoxel incoherent motion (IVIM) model parameters for the diagnosis and staging of liver fibrosis and inflammation in patients with chronic hepatitis B. METHODS Fifty-four patients with chronic hepatitis B and 42 healthy volunteers were included in the study. All subjects were examined by 3 T magnetic resonance imaging. Diffusion-weighted imaging was undertaken with sixteen b values. IVIM parameters [D (true diffusion coefficient), D* (pseudo-diffusion coefficient), f (perfusion fraction)] were calculated. Histological evaluation of biopsy samples was considered the reference standard for the staging of liver fibrosis and inflammation. Differences in IVIM parameters between patient and control groups were analyzed. In the patient group, fibrosis stage and inflammation grade groups were analyzed with respect to IVIM parameters. The correlation was assessed between IVIM parameters and Ishak-modified scale of fibrosis stages and inflammation grades. RESULTS The D was significantly lower in the patient group than the control group, p = 0.038 with Cohen's d effect size of 0.452. D was significantly different between fibrosis stage levels. D values decreased in fibrosis stages from the minimal to moderate to marked fibrosis. Fibrosis grades significantly negatively correlated with D and D* values, p = 0.001, and 0.021, respectively. In addition, inflammation grades negatively correlated with f values, p = 0.047. CONCLUSION D values measured with IVIM imaging may help to diagnose liver fibrosis. IVIM imaging could be an alternative to liver biopsy for the staging of liver fibrosis.
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Affiliation(s)
- Mesude Tosun
- Department of Radiology, Kocaeli University School of Medicine, Kocaeli, Turkey.
| | | | - Hande Uslu
- Department of Radiology, Kocaeli University School of Medicine, Kocaeli, Turkey
| | - Burcu Alparslan
- Department of Radiology, Kocaeli University School of Medicine, Kocaeli, Turkey
| | - Sıla Çetin Akhan
- Department of Infectious Diseases and Clinical Microbiology, Kocaeli University School of Medicine, Kocaeli, Turkey
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12
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Wáng YXJ, Wang X, Wu P, Wang Y, Chen W, Chen H, Li J. Topics on quantitative liver magnetic resonance imaging. Quant Imaging Med Surg 2019; 9:1840-1890. [PMID: 31867237 DOI: 10.21037/qims.2019.09.18] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Liver magnetic resonance imaging (MRI) is subject to continuous technical innovations through advances in hardware, sequence and novel contrast agent development. In order to utilize the abilities of liver MR to its full extent and perform high-quality efficient exams, it is mandatory to use the best imaging protocol, to minimize artifacts and to select the most adequate type of contrast agent. In this article, we review the routine clinical MR techniques applied currently and some latest developments of liver imaging techniques to help radiologists and technologists to better understand how to choose and optimize liver MRI protocols that can be used in clinical practice. This article covers topics on (I) fat signal suppression; (II) diffusion weighted imaging (DWI) and intravoxel incoherent motion (IVIM) analysis; (III) dynamic contrast-enhanced (DCE) MR imaging; (IV) liver fat quantification; (V) liver iron quantification; and (VI) scan speed acceleration.
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Affiliation(s)
- Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong SAR, China
| | | | - Peng Wu
- Philips Healthcare (Suzhou) Co., Ltd., Suzhou 215024, China
| | - Yajie Wang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Weibo Chen
- Philips Healthcare, Shanghai 200072, China.,Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Jianqi Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China
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13
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Montelius M, Jalnefjord O, Spetz J, Nilsson O, Forssell‐Aronsson E, Ljungberg M. Multiparametric MR for non-invasive evaluation of tumour tissue histological characteristics after radionuclide therapy. NMR IN BIOMEDICINE 2019; 32:e4060. [PMID: 30693592 PMCID: PMC6590232 DOI: 10.1002/nbm.4060] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 11/26/2018] [Accepted: 11/26/2018] [Indexed: 05/05/2023]
Abstract
Early non-invasive tumour therapy response assessment requires methods sensitive to biological and physiological tumour characteristics. The aim of this study was to find and evaluate magnetic resonance imaging (MRI) derived tumour tissue parameters that correlate with histological parameters and that reflect effects of radionuclide therapy. Mice bearing a subcutaneous human small-intestine neuroendocrine tumour were i.v. injected with 177 Lu-octreotate. MRI was performed (7 T Bruker Biospec) on different post-therapy intervals (1 and 13 days) using T2-weighted imaging, mapping of T2* and T1 relaxation time constants, as well as diffusion and dynamic contrast enhancement (DCE-MRI) techniques. After MRI, animals were killed and tumours excised. Four differently stained histological sections of the most central imaged tumour plane were digitized, and segmentation techniques were used to produce maps reflecting fibrotic and vascular density, apoptosis, and proliferation. Histological maps were aligned with MRI-derived parametric maps using landmark-based registration. Correlations and predictive power were evaluated using linear mixed-effects models and cross-validation, respectively. Several MR parameters showed statistically significant correlations with histological parameters. In particular, three DCE-MRI-derived parameters reflecting capillary function additionally showed high predictive power regarding apoptosis (2/3) and proliferation (1/3). T1 could be used to predict vascular density, and perfusion fraction derived from diffusion MRI could predict fibrotic density, although with lower predictive power. This work demonstrates the potential to use multiparametric MRI to retrieve important information on the tumour microenvironment after radiotherapy. The non-invasiveness of the method also allows longitudinal tumour tissue characterization. Further investigation is warranted to evaluate the parameters highlighted in this study longitudinally, in larger studies, and with additional histological methods.
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Affiliation(s)
- Mikael Montelius
- Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, Department of Radiation PhysicsUniversity of GothenburgGothenburgSweden
| | - Oscar Jalnefjord
- Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, Department of Radiation PhysicsUniversity of GothenburgGothenburgSweden
- Department of Medical Physics and Biomedical EngineeringSahlgrenska University HospitalGothenburgSweden
| | - Johan Spetz
- Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, Department of Radiation PhysicsUniversity of GothenburgGothenburgSweden
| | - Ola Nilsson
- Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy, Department of PathologyUniversity of GothenburgGothenburgSweden
| | - Eva Forssell‐Aronsson
- Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, Department of Radiation PhysicsUniversity of GothenburgGothenburgSweden
| | - Maria Ljungberg
- Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, Department of Radiation PhysicsUniversity of GothenburgGothenburgSweden
- Department of Medical Physics and Biomedical EngineeringSahlgrenska University HospitalGothenburgSweden
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Monoexponential and Biexponential Fitting of Diffusional Magnetic Resonance Imaging Signal Analysis for Prediction of Liver Fibrosis Severity. J Comput Assist Tomogr 2019; 43:857-862. [DOI: 10.1097/rct.0000000000000937] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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15
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Wáng YXJ, Li YT, Chevallier O, Huang H, Leung JCS, Chen W, Lu PX. Dependence of intravoxel incoherent motion diffusion MR threshold b-value selection for separating perfusion and diffusion compartments and liver fibrosis diagnostic performance. Acta Radiol 2019; 60:3-12. [PMID: 29742916 DOI: 10.1177/0284185118774913] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Intravoxel incoherent motion (IVIM) tissue parameters depend on the threshold b-value. PURPOSE To explore how threshold b-value impacts PF ( f), Dslow ( D), and Dfast ( D*) values and their performance for liver fibrosis detection. MATERIAL AND METHODS Fifteen healthy volunteers and 33 hepatitis B patients were included. With a 1.5-T magnetic resonance (MR) scanner and respiration gating, IVIM data were acquired with ten b-values of 10, 20, 40, 60, 80, 100, 150, 200, 400, and 800 s/mm2. Signal measurement was performed on the right liver. Segmented-unconstrained analysis was used to compute IVIM parameters and six threshold b-values in the range of 40-200 s/mm2 were compared. PF, Dslow, and Dfast values were placed along the x-axis, y-axis, and z-axis, and a plane was defined to separate volunteers from patients. RESULTS Higher threshold b-values were associated with higher PF measurement; while lower threshold b-values led to higher Dslow and Dfast measurements. The dependence of PF, Dslow, and Dfast on threshold b-value differed between healthy livers and fibrotic livers; with the healthy livers showing a higher dependence. Threshold b-value = 60 s/mm2 showed the largest mean distance between healthy liver datapoints vs. fibrotic liver datapoints, and a classification and regression tree showed that a combination of PF (PF < 9.5%), Dslow (Dslow < 1.239 × 10-3 mm2/s), and Dfast (Dfast < 20.85 × 10-3 mm2/s) differentiated healthy individuals and all individual fibrotic livers with an area under the curve of logistic regression (AUC) of 1. CONCLUSION For segmented-unconstrained analysis, the selection of threshold b-value = 60 s/mm2 improves IVIM differentiation between healthy livers and fibrotic livers.
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Affiliation(s)
- Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong SAR
| | - Yáo T Li
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong SAR
| | - Olivier Chevallier
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong SAR
- Department of Vascular and Interventional Radiology, University of Bourgogne/Franche-Comté, François-Mitterrand Teaching Hospital, Dijon Cedex, France
| | - Hua Huang
- Department of Radiology, The Third People's Hospital of Shenzhen, Shenzhen, Guangdong Province, PR China
| | - Jason Chi Shun Leung
- JC Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, New Territories, Hong Kong SAR
| | - Weitian Chen
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong SAR
| | - Pu-Xuan Lu
- Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong Province, PR China
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16
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Hu G, Yang Z, Liang W, Lai C, Mei Y, Li Y, Xu J, Luo L, Quan X. Intravoxel Incoherent Motion and Arterial Spin Labeling MRI Analysis of Reversible Unilateral Ureteral Obstruction in Rats. J Magn Reson Imaging 2018; 50:288-296. [PMID: 30328247 DOI: 10.1002/jmri.26536] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 09/20/2018] [Accepted: 09/20/2018] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Renal fibrosis is a common consequence of chronic kidney disease (CKD) and is the mechanism by which various forms of CKD progress to endstage renal failure. Accurate assessment of renal fibrosis is important for treatment. PURPOSE To measure longitudinal changes of intravoxel incoherent motion (IVIM) and arterial spin labeling (ASL) before and after reversible unilateral ureteral obstruction in an animal model. STUDY TYPE Self-controlled animal study. ANIMAL MODEL Surgical obstruction of the ureters was performed and then removed after 5 days. Rats were scanned on Days 0, 1, 3, and 5 after creating the obstruction and on Days 4, 7, and 12 after releasing the obstruction. FIELD STRENGTH/SEQUENCE 3.0T/IVIM/ASL. ASSESSMENT The apparent diffusion coefficient (ADC), pure molecular diffusion (D), perfusion fraction (f), pseudodiffusion (D*), and renal blood flow (RBF) obtained from the ASL were measured. STATISTICAL TESTS Using SPSS v. 20.0 software, P < 0.05 were considered statistically significant. The data from each timepoint were compared using one-way analysis of variance and correlation analysis was applied to various parameters. RESULTS The postobstruction kidneys showed renal tubule swelling and increased collagen fiber content. Renal tubule swelling was relieved after reversing the obstruction, but Masson staining and cell density analysis revealed progressive changes that were primarily localized to the medulla. In general, ADC, D, f, D*, and RBF decreased with time during the 5 days of obstruction, and increased after release of the obstruction. ADC positively correlated with D, f, D*, and RBF (r = 0.415, r = 0.634, r = 0.465 r = 0.586, P < 0.001, respectively) in the cortex in this study. Also, ADC showed a positive correlation with D, f, and D* (r = 0.724, r = 0.749, r = 0.151, P < 0.001, respectively) in the medulla. DATA CONCLUSION Kidney perfusion was the major factor affecting ADC. Functional imaging may be useful for following progression of CKD. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:288-296.
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Affiliation(s)
- Genwen Hu
- Department of Radiology, Shenzhen People's Hospital (Second Clinical Medical College of Jinan University), Shenzhen, P.R. China
| | - Zhong Yang
- Department of Radiology, Shenzhen People's Hospital (Second Clinical Medical College of Jinan University), Shenzhen, P.R. China
| | - Wen Liang
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Caiyong Lai
- Department of Urology, First Affiliated Hospital of Jinan University, Guangzhou, P.R. China
| | - Yingjie Mei
- MR Clinical Science, Philips Healthcare, GuangZhou, P.R. China
| | - Yufa Li
- Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China
| | - Jianmin Xu
- Department of Radiology, Shenzhen People's Hospital (Second Clinical Medical College of Jinan University), Shenzhen, P.R. China
| | - Liangping Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, P.R. China
| | - Xianyue Quan
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, P.R. China
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17
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Jerome NP, Boult JKR, Orton MR, d'Arcy JA, Nerurkar A, Leach MO, Koh DM, Collins DJ, Robinson SP. Characterisation of fibrosis in chemically-induced rat mammary carcinomas using multi-modal endogenous contrast MRI on a 1.5T clinical platform. Eur Radiol 2018; 28:1642-1653. [PMID: 29038934 PMCID: PMC5834566 DOI: 10.1007/s00330-017-5083-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 08/25/2017] [Accepted: 09/14/2017] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To determine the ability of multi-parametric, endogenous contrast MRI to detect and quantify fibrosis in a chemically-induced rat model of mammary carcinoma. METHODS Female Sprague-Dawley rats (n=18) were administered with N-methyl-N-nitrosourea; resulting mammary carcinomas underwent nine-b-value diffusion-weighted (DWI), ultrashort-echo (UTE) and magnetisation transfer (MT) magnetic resonance imaging (MRI) on a clinical 1.5T platform, and associated quantitative MR parameters were calculated. Excised tumours were histologically assessed for degree of necrosis, collagen, hypoxia and microvessel density. Significance level adjusted for multiple comparisons was p=0.0125. RESULTS Significant correlations were found between MT parameters and degree of picrosirius red staining (r > 0.85, p < 0.0002 for ka and δ, r < -0.75, p < 0.001 for T1 and T1s, Pearson), indicating that MT is sensitive to collagen content in mammary carcinoma. Picrosirius red also correlated with the DWI parameter fD* (r=0.801, p=0.0004) and conventional gradient-echo T2* (r=-0.660, p=0.0055). Percentage necrosis correlated moderately with ultrashort/conventional-echo signal ratio (r=0.620, p=0.0105). Pimonidazole adduct (hypoxia) and CD31 (microvessel density) staining did not correlate with any MR parameter assessed. CONCLUSIONS Magnetisation transfer MRI successfully detects collagen content in mammary carcinoma, supporting inclusion of MT imaging to identify fibrosis, a prognostic marker, in clinical breast MRI examinations. KEY POINTS • Magnetisation transfer imaging is sensitive to collagen content in mammary carcinoma. • Magnetisation transfer imaging to detect fibrosis in mammary carcinoma fibrosis is feasible. • IVIM diffusion does not correlate with microvessel density in preclinical mammary carcinoma.
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Affiliation(s)
- Neil P Jerome
- CR-UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Jessica K R Boult
- CR-UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Matthew R Orton
- CR-UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SM2 5NG, UK
| | - James A d'Arcy
- CR-UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Ashutosh Nerurkar
- Department of Histopathology, Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK
| | - Martin O Leach
- CR-UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Dow-Mu Koh
- CR-UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SM2 5NG, UK
- Department of Radiology, Royal Marsden NHS Foundation Trust, London, SM2 5PT, UK
| | - David J Collins
- CR-UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SM2 5NG, UK
| | - Simon P Robinson
- CR-UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SM2 5NG, UK.
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Abstract
Liver fibrosis is an important pathological precondition for hepatocellular carcinoma. The degree of hepatic fibrosis is positively correlated with liver cancer. Liver fibrosis is a series of pathological and physiological process related to liver cell necrosis and degeneration after chronic liver injury, which finally leads to extracellular matrix and collagen deposition. The early detection and precise staging of fibrosis and cirrhosis are very important for early diagnosis and timely initiation of appropriate therapeutic regimens. The risk of severe liver fibrosis finally progressing to liver carcinoma is >50%. It is known that biopsy is the gold standard for the diagnosis and staging of liver fibrosis. However, this method has some limitations, such as the potential for pain, sampling variability, and low patient acceptance. Furthermore, the necessity of obtaining a tissue diagnosis of liver fibrosis still remains controversial. An increasing number of reliable non-invasive approaches are now available that are widely applied in clinical practice, mostly in cases of viral hepatitis, resulting in a significantly decreased need for liver biopsy. In fact, the non-invasive detection and evaluation of liver cirrhosis now has good accuracy due to current serum markers, ultrasound imaging, and magnetic resonance imaging quantification techniques. A prominent advantage of the non-invasive detection and assessment of liver fibrosis is that liver fibrosis can be monitored repeatedly and easily in the same patient. Serum biomarkers have the advantages of high applicability (>95%) and good reproducibility. However, their results can be influenced by different patient conditions because none of these markers are liver-specific. The most promising techniques appear to be transient elastography and magnetic resonance elastography because they provide reliable results for the detection of fibrosis in the advanced stages, and future developments promise to increase the reliability and accuracy of the staging of hepatic fibrosis. This article aims to describe the recent progress in the development of non-invasive assessment methods for the staging of liver fibrosis, with a special emphasize on computer-aided quantitative and deep learning methods.
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Affiliation(s)
- Chengxi Li
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Rentao Li
- Department of Hepatobiliary Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Wei Zhang
- Department of Hepatobiliary Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
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19
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Li YT, Cercueil JP, Yuan J, Chen W, Loffroy R, Wáng YXJ. Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation. Quant Imaging Med Surg 2017; 7:59-78. [PMID: 28275560 DOI: 10.21037/qims.2017.02.03] [Citation(s) in RCA: 98] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
A comprehensive literature review was performed on liver intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) technique and its applications. Heterogeneous data have been reported. IVIM parameters are magnetic field strength dependent to a mild extent. A lower Dslow (D) value at 3 T than at 1.5 T and higher perfusion fraction (PF) value at 3 T than at 1.5 T were noted. An increased number of b values are associated with increased IVIM parameter measurement accuracy. With the current status of art, IVIM technique is not yet capable of detecting early stage liver fibrosis and diagnosing liver fibrosis grades, nor can it differentiate liver tumors. Though IVIM parameters show promise for tumor treatment monitoring, till now how PF and Dfast (D*) add diagnostic value to Dslow or apparent diffusion coefficient (ADC) remains unclear. This paper shows the state-of-art IVIM MR technique is still not able to offer reliable measurement for liver. More works on the measurement robustness are warranted as they are essential to justify follow-up clinical studies on patients.
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Affiliation(s)
- Yáo T Li
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, New Territories, Hong Kong SAR, China
| | - Jean-Pierre Cercueil
- Department of Vascular and Interventional Radiology, François-Mitterrand Teaching Hospital, University of Burgundy, Dijon, France
| | - Jing Yuan
- Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong SAR, China
| | - Weitian Chen
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, New Territories, Hong Kong SAR, China
| | - Romaric Loffroy
- Department of Vascular and Interventional Radiology, François-Mitterrand Teaching Hospital, University of Burgundy, Dijon, France
| | - Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, New Territories, Hong Kong SAR, China
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França M, Martí-Bonmatí L, Alberich-Bayarri Á, Oliveira P, Guimaraes S, Oliveira J, Amorim J, Gonzalez JS, Vizcaíno JR, Miranda HP. Evaluation of fibrosis and inflammation in diffuse liver diseases using intravoxel incoherent motion diffusion-weighted MR imaging. Abdom Radiol (NY) 2017; 42:468-477. [PMID: 27638516 DOI: 10.1007/s00261-016-0899-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE The purpose of the study was to evaluate the role of intravoxel incoherent motion (IVIM) diffusion model for the assessment of liver fibrosis and inflammation in diffuse liver disorders, also considering the presence of liver steatosis and iron deposits. METHODS Seventy-four patients were included, with liver biopsy and a 3 Tesla abdominal magnetic resonance imaging examination, with an IVIM diffusion-weighted sequence (single-shot spin-echo echo-planar sequence, with gradient reversal fat suppression; 6 b-values: 0, 50, 200, 400, 600, and 800 s/mm2). Histological evaluation comprised the Ishak modified scale, for grading inflammation and fibrosis, plus steatosis and iron loading classification. The liver apparent diffusion coefficient (ADC) and IVIM parameters (D, D*, f) were calculated from the IVIM images. The relationship between IVIM parameters and histopathological scores were evaluated by ANOVA and Spearman correlation tests. A test-retest experiment assessed reproducibility and repeatability in 10 healthy volunteers and 10 randomly selected patient studies. RESULTS ADC and f values were lower with higher fibrosis stages (p = 0.009, p = 0.006, respectively) and also with higher necro-inflammatory activity grades (p = 0.02, p = 0.017, respectively). Considered together, only fibrosis presented a significant effect on ADC and f measurements (p < 0.05), whereas inflammation had no significant effect (p > 0.05). A mild correlation was found between ADC and f with fibrosis (R S = -0.32 and R S = -0.38; p < 0.05) and inflammation (R S = -0.31 and R S = -0.32, p < 0.05; respectively). The AUROC for ADC and f measurements with the different dichotomizations between fibrosis or inflammation grades were only fair (0.670 to 0.749, p < 0.05). Neither D nor D* values were significantly different between liver fibrosis or inflammation grades. D measurements were significantly different across histologic grades of steatosis (p < 0.001) and iron overload (p < 0.001), whereas f measurements showed significant differences across histologic steatosis grades (p = 0.005). There was an excellent agreement between the different readers for ADC, f, and D. CONCLUSIONS Although fibrosis presented a significant effect on ADC and f, IVIM measurements are not accurate enough to stage liver fibrosis or necro-inflammatory activity in diffuse liver diseases. D values were influenced by steatosis and iron overload.
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Affiliation(s)
- Manuela França
- Imaging Department, Centro Hospitalar do Porto, Largo Prof Abel Salazar, 4099-001, Porto, Portugal.
| | - Luis Martí-Bonmatí
- Radiology Department, Hospital Universitario y Politécnico La Fe and Biomedical Imaging Research Group (GIBI230), Valencia, Spain
| | - Ángel Alberich-Bayarri
- Radiology Department, Hospital Universitario y Politécnico La Fe and Biomedical Imaging Research Group (GIBI230), Valencia, Spain
| | - Pedro Oliveira
- Population Studies Department, Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal
- Epidemiology Research Unit (EPI Unit), Institute of Public Health of the University of Porto, Porto, Portugal
| | - Susana Guimaraes
- Pathology Department, Centro Hospitalar de S. João, Porto, Portugal
| | - João Oliveira
- Radiology Department, Centro Hospitalar do Porto, Porto, Portugal
| | - João Amorim
- Radiology Department, Centro Hospitalar do Porto, Porto, Portugal
| | | | | | - Helena Pessegueiro Miranda
- Epidemiology Research Unit (EPI Unit), Institute of Public Health of the University of Porto, Porto, Portugal
- Liver and Pancreas Transplantation Unit and Medicine Department, Centro Hospitalar do Porto, Porto, Portugal
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Zhang B, Liang L, Dong Y, Lian Z, Chen W, Liang C, Zhang S. Intravoxel Incoherent Motion MR Imaging for Staging of Hepatic Fibrosis. PLoS One 2016; 11:e0147789. [PMID: 26820668 PMCID: PMC4731200 DOI: 10.1371/journal.pone.0147789] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 01/09/2016] [Indexed: 12/14/2022] Open
Abstract
Objectives To determine the potential of intravoxel incoherent motion (IVIM) MR imaging for staging of hepatic fibrosis (HF). Methods We searched PubMed and EMBASE from their inception to 31 July 2015 to select studies reporting IVIM MR imaging and HF staging. We defined F1-2 as non-advanced HF, F3-4 as advanced HF, F0 as normal liver, F1 as very early HF, and F2-4 as significant HF. Then we compared stage F0 with F1, F0-1 with F2-3, and F1-2 with F3-4 using IVIM-derived parameters (pseudo-diffusion coefficient D*, perfusion fraction f, and pure molecular diffusion parameter D). The effect estimate was expressed as a pooled weighted mean difference (WMD) with 95% confidence interval (CI), using the fixed-effects model. Results Overall, we included six papers (406 patients) in this study. Significant differences in D* were observed between F0 and F1, F0-1 and F2-3, and F1-2 and F3-4 (WMD 2.46, 95% CI 0.83–4.09, P = 0.006; WMD 13.10, 95% CI 9.53–16.67, P < 0.001; WMD 14.34, 95% CI 10.26–18.42, P < 0.001, respectively). Significant differences in f were also found between F0 and F1, F0-1 and F2-3, and F1-2 and F3-4 (WMD 1.62, 95% CI 0.06–3.18, P = 0.027; WMD 5.63, 95% CI 2.74–8.52, P < 0.001; WMD 3.30, 95% CI 2.10–4.50, P < 0.001, respectively). However, D showed no differences between F0 and F1, F0-1 and F2-3, and F1-2 and F3-4 (WMD 0.05, 95% CI -0.01─0.11, P = 0.105; WMD 0.04, 95% CI -0.01─0.10, P = 0.230; WMD 0.02, 95% CI -0.02─0.06, P = 0.378, respectively). Conclusions IVIM MR imaging provides an effective method of staging HF and can distinguish early HF from normal liver, significant HF from normal liver or very early HF, and advanced HF from non-advanced HF.
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Affiliation(s)
- Bin Zhang
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
- Graduate College, Southern Medical University, Guangzhou, China
| | - Long Liang
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
- Graduate College, Southern Medical University, Guangzhou, China
| | - Yuhao Dong
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
| | - Zhouyang Lian
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
- Graduate College, Southern Medical University, Guangzhou, China
| | - Wenbo Chen
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
| | - Changhong Liang
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
| | - Shuixing Zhang
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
- * E-mail:
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Parente DB, Paiva FF, Oliveira Neto JA, Machado-Silva L, Figueiredo FAF, Lanzoni V, Campos CFF, do Brasil PEAA, Gomes MDB, Perez RDM, Rodrigues RS. Intravoxel Incoherent Motion Diffusion Weighted MR Imaging at 3.0 T: Assessment of Steatohepatitis and Fibrosis Compared with Liver Biopsy in Type 2 Diabetic Patients. PLoS One 2015; 10:e0125653. [PMID: 25961735 PMCID: PMC4427182 DOI: 10.1371/journal.pone.0125653] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 03/17/2015] [Indexed: 12/23/2022] Open
Abstract
Objective To evaluate the capability of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) to assess steatohepatitis and fibrosis determined by histopathology in type 2 diabetic patients. Methods Fifty-nine type 2 diabetic patients (49 women, 10 men; mean age, 54 ± 9 years) were submitted to liver biopsy for the evaluation of non-alcoholic fatty liver disease (NAFLD) and underwent DWI on a 3.0T MR system using 10 b values. Institutional approval and patient consent were obtained. Pure molecular-based (D), perfusion-related (D*), and vascular fraction (f) were calculated using a double exponential model and least squares curve fitting. D, D*, and f were compared between patients with and without steatohepatitis and between patients with and without fibrosis. The variables were compared by using the Ranksum test and Student t-test. Results Steatohepatitis was observed in 22 patients and fibrosis in 16 patients. A lower D median (0.70 s/mm2 vs. 0.83 s/mm2, p<0.05) and a lower D* median (34.39 s/mm2 vs. 45.23 s/mm2, p<0.05) were observed among those with steatohepatitis. A lower D median (0.70 s/mm2 vs. 0.82 s/mm2, p<0.05) and a lower D* median (35.01 s/mm2 vs. 44.76 s/mm2, p=0.05) were also observed among those with fibrosis. Conclusion IVIM-DWI has the potential to aid in the characterization of steatohepatitis and fibrosis.
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Affiliation(s)
- Daniella Braz Parente
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- * E-mail:
| | - Fernando Fernandes Paiva
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- Institute of Physics of São Carlos, University of São Paulo, São Carlos, Brazil
| | | | | | | | | | | | | | | | - Renata de Mello Perez
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- University of the State of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rosana Souza Rodrigues
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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Lu PX, Huang H, Yuan J, Zhao F, Chen ZY, Zhang Q, Ahuja AT, Zhou BP, Wáng YXJ. Decreases in molecular diffusion, perfusion fraction and perfusion-related diffusion in fibrotic livers: a prospective clinical intravoxel incoherent motion MR imaging study. PLoS One 2014; 9:e113846. [PMID: 25436458 PMCID: PMC4250077 DOI: 10.1371/journal.pone.0113846] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2014] [Accepted: 11/02/2014] [Indexed: 12/21/2022] Open
Abstract
Purpose This study was aimed to determine whether pure molecular-based diffusion coefficient (D) and perfusion-related diffusion parameters (perfusion fraction f, perfusion-related diffusion coefficient D*) differ in healthy livers and fibrotic livers through intra-voxel incoherent motion (IVIM) MR imaging. Material and Methods 17 healthy volunteers and 34 patients with histopathologically confirmed liver fibrosis patients (stage 1 = 14, stage 2 = 8, stage 3& 4 = 12, METAVIR grading) were included. Liver MR imaging was performed at 1.5-T. IVIM diffusion weighted imaging sequence was based on standard single-shot DW spin echo-planar imaging, with ten b values of 10, 20, 40, 60, 80, 100, 150, 200, 400, 800 sec/mm2 respectively. Pixel-wise realization and regions-of-interest based quantification of IVIM parameters were performed. Results D, f, and D* in healthy volunteer livers and patient livers were 1.096±0.155 vs 0.917±0.152 (10−3 mm2/s, p = 0.0015), 0.164±0.021 vs 0.123±0.029 (p<0.0001), and 13.085±2.943 vs 9.423±1.737 (10−3 mm2/s, p<0.0001) respectively, all significantly lower in fibrotic livers. As the fibrosis severity progressed, D, f, and D* values decreased, with a trend significant for f and D*. Conclusion Fibrotic liver is associated with lower pure molecular diffusion, lower perfusion volume fraction, and lower perfusion-related diffusion. The decrease of f and D* in the liver is significantly associated liver fibrosis severity.
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Affiliation(s)
- Pu-Xuan Lu
- Department of Radiology, The Shenzhen No. 3 People's Hospital, Guangdong Medical College, Shenzhen, China
| | - Hua Huang
- Department of Radiology, The Shenzhen No. 3 People's Hospital, Guangdong Medical College, Shenzhen, China
| | - Jing Yuan
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
| | - Feng Zhao
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
| | - Zhi-Yi Chen
- Laboratory of Ultrasound Molecular Imaging, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qinwei Zhang
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
| | - Anil T. Ahuja
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
| | - Bo-Ping Zhou
- Department of Hepatology, The Shenzhen No. 3 People's Hospital, Guangdong Medical College, Shenzhen, China
| | - Yì-Xiáng J. Wáng
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
- * E-mail:
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Hu G, Chan Q, Quan X, Zhang X, Li Y, Zhong X, Lin X. Intravoxel incoherent motion MRI evaluation for the staging of liver fibrosis in a rat model. J Magn Reson Imaging 2014; 42:331-9. [PMID: 25384923 DOI: 10.1002/jmri.24796] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Accepted: 10/23/2014] [Indexed: 01/12/2023] Open
Abstract
PURPOSE To explore the characteristics of intravoxel incoherent motion (IVIM) in various stages of liver fibrosis, and their relationships with fibrotic stages in rats. MATERIALS AND METHODS Fifty rats were given various doses of carbon tetrachloride (CCl4 ) to induce various fibrotic stages in rats; 15 untreated rats served as controls. Diffusion-weighted magnetic resonance imaging (MRI) was performed and eight b-values (0-800 s/mm(2) ) were applied to obtain IVIM parameters (D, pure molecular diffusion; f, perfusion fraction; D*, pseudodiffusion). The stages of liver fibrosis (stages F0-F4) were evaluated histologically using METAVIR scores. Fifty-seven rats (15 controls and 42 with fibrosis) were analyzed by nonparametric methods and receiver operating characteristic curves to determine diagnostic accuracy. RESULTS Significant differences (P < 0.001) were found between stages (stages F0-F4) by D, f, D*, and apparent diffusion coefficient (ADC). There were inverse correlations between fibrosis stages and D, f, D*, ADC (r = -0.657, r = -0.631, r = -0.711 r = -0.719, respectively). Multivariate analysis showed that the combination models (D, f, D*) were better than the individual parameter (ADC) for the evaluation fibrosis stages (area under the curve [AUC]: 0.821-1.000 vs. AUC: 0.753-0.918) CONCLUSION: IVIM-derived parameters showed significant correlations with stages of liver fibrosis in a rat model.
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Affiliation(s)
- Genwen Hu
- Department of Medical Image Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, P.R. China.,Department of Medical Image Center, Shenzhen Bao'an Maternal and Child Health Hospital, Shenzhen, Guangdong Province, P.R. China
| | | | - Xianyue Quan
- Department of Medical Image Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, P.R. China
| | - Xuhui Zhang
- Department of Medical Image Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, P.R. China
| | - Yufa Li
- Department of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, P.R. China
| | - Xing Zhong
- Department of Medical Image Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, P.R. China
| | - Xiaoying Lin
- Department of Medical Image Center, Shenzhen Bao'an Maternal and Child Health Hospital, Shenzhen, Guangdong Province, P.R. China
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Ichikawa S, Motosugi U, Morisaka H, Sano K, Ichikawa T, Enomoto N, Matsuda M, Fujii H, Onishi H. MRI-based staging of hepatic fibrosis: Comparison of intravoxel incoherent motion diffusion-weighted imaging with magnetic resonance elastography. J Magn Reson Imaging 2014; 42:204-10. [DOI: 10.1002/jmri.24760] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Accepted: 08/29/2014] [Indexed: 12/21/2022] Open
Affiliation(s)
| | - Utaroh Motosugi
- Department of Radiology; University of Yamanashi; Yamanashi Japan
| | | | - Katsuhiro Sano
- Department of Radiology; University of Yamanashi; Yamanashi Japan
| | - Tomoaki Ichikawa
- Department of Radiology; University of Yamanashi; Yamanashi Japan
| | - Nobuyuki Enomoto
- First Department of Internal Medicine; University of Yamanashi; Yamanashi Japan
| | - Masanori Matsuda
- First Department of Surgery; University of Yamanashi; Yamanashi Japan
| | - Hideki Fujii
- First Department of Surgery; University of Yamanashi; Yamanashi Japan
| | - Hiroshi Onishi
- Department of Radiology; University of Yamanashi; Yamanashi Japan
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Man S, Fan W, Gao W, Li Y, Wang Y, Liu Z, Li H. Anti-fibrosis and anti-cirrhosis effects of Rhizoma paridis saponins on diethylnitrosamine induced rats. JOURNAL OF ETHNOPHARMACOLOGY 2013; 151:407-412. [PMID: 24212073 DOI: 10.1016/j.jep.2013.10.051] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2013] [Revised: 10/21/2013] [Accepted: 10/24/2013] [Indexed: 06/02/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Paris polyphylla var. yunnanensis as a traditional Chinese medicine has been used in the treatment of liver disease for thousands of years. Rhizoma paridis saponins (RPS), as the main active components of Paris polyphylla, have been used to treat liver injury. Anti-cirrhosis effect of Rhizoma paridis saponins (RPS) has not been known. MATERIALS AND METHODS We analyzed diethylnitrosamine (DEN)-induced metabonomic changes in multiple biological matrices (plasma and urine) of rats by using (1)H-NMR spectroscopy together with clinical biochemistry assessments, oxidative stress test and DNA fragmentation assay. RESULTS Mechanisms of RPS that participated in the inhibition of the fibrotic process included anti-oxidant, anti-apoptosis, and metabolic disturbance such as decreasing lipid oxidation, regulation of TCA cycle, carbohydrate, and amino acid metabolisms in DEN-induced liver tissues. CONCLUSIONS Integrated NMR analysis of serum and urine samples, together with traditional clinical biochemical assays provided a holistic method for elucidating mechanisms of potential anti-fibrotic agent, RPS.
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Affiliation(s)
- Shuli Man
- Key Laboratory of Industrial Microbiology, Ministry of Education, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China; Tianjin Key Laboratory of Industry Microbiology, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Wei Fan
- Key Laboratory of Industrial Microbiology, Ministry of Education, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China; Tianjin Key Laboratory of Industry Microbiology, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Wenyuan Gao
- Key Laboratory of Industrial Microbiology, Ministry of Education, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China; Tianjin Key Laboratory for Modern Drug Delivery and High Efficiency, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China; Tianjin Key Laboratory of Industry Microbiology, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China.
| | - Yuanyuan Li
- Key Laboratory of Industrial Microbiology, Ministry of Education, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China; Tianjin Key Laboratory of Industry Microbiology, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Yan Wang
- Key Laboratory of Industrial Microbiology, Ministry of Education, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China; Tianjin Key Laboratory of Industry Microbiology, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Zhen Liu
- Tianjin Key Laboratory for Modern Drug Delivery and High Efficiency, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
| | - Hongfa Li
- Tianjin Key Laboratory for Modern Drug Delivery and High Efficiency, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
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