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Ma L, Li J, Azamuddin M, Zheng S, Wang W, Wang P. Detection of tumour boundary in metastatic liver disease with 2D multibreath-hold susceptibility-weighted imaging. Magn Reson Imaging 2022; 92:26-32. [PMID: 35623417 DOI: 10.1016/j.mri.2022.05.011] [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: 12/02/2021] [Revised: 05/05/2022] [Accepted: 05/19/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE To investigate the feasibility of susceptibility weighted imaging (SWI) in detecting tumour boundaries in metastatic liver disease (MLD) without contrast agent, and whether SWI can provide pathophysiologic information for preoperative evaluation. METHODS Thirty patients with MLD underwent tumour resection. All patients underwent conventional MRI (T1-weighted and T2-weighted imaging), contrast-enhanced (CE) MRI and multibreath-hold 2D SWI. The conspicuity of the tumour boundary was assessed using a 4-grade scale. The detection rate of tumour boundaries and areas were reviewed and measured. The longest dimension was used to estimate the tumour size from the MR image. The conspicuity of the tumour boundary and area were compared using a nonparametric multi-group comparison (Friedman M). The McNemar test was applied to examine differences in the detection rate of tumour boundaries. RESULTS Among four different MRI sequences, SWI exhibited increased conspicuity of the tumour boundary than the conventional MRI (P < 0.001). SWI (91.8%) and CE-MRI (64.4%) exhibited higher detection rates of the tumour boundary than T1WI and T2WI (6.8% and 12.3% respectively). Longer tumour maximum diameters were measured with SWI (29.1 ± 17.2 mm) and CE-MRI (28.2 ± 16.8) compared to conventional MRI (P < 0.05). CONCLUSION 2D multibreath-hold SWI enables enhanced noninvasive detection of tumour boundaries in patients with MLD compared with conventional MRI and CE-MRI without using an exogenous contrast agent. SWI has the potential to become a preoperative assessment standard that complements conventional MRI.
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Affiliation(s)
- Liang Ma
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China; Department of Radiology, Children's Hospital of Fudan University, National Children's Medical Center, No. 399, Wanyuan Road, Minhang District, Shanghai 201102, China
| | - Jinglu Li
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China
| | - Mohammed Azamuddin
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China
| | - Shaoqiang Zheng
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China
| | - Wei Wang
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China.
| | - Peijun Wang
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China.
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Renzulli M, Brandi N, Argalia G, Brocchi S, Farolfi A, Fanti S, Golfieri R. Morphological, dynamic and functional characteristics of liver pseudolesions and benign lesions. Radiol Med 2022; 127:129-144. [PMID: 35028886 DOI: 10.1007/s11547-022-01449-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/30/2021] [Indexed: 12/21/2022]
Abstract
Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide and one of the most common causes of death among patients with cirrhosis, developing in 1-8% of them every year, regardless of their cirrhotic stage. The radiological features of HCC are almost always sufficient for reaching the diagnosis; thus, histological confirmation is rarely needed. However, the study of cirrhotic livers remains a challenge for radiologists due to the developing of fibrous and regenerative tissue that cause the distortion of normal liver parenchyma, changing the typical appearances of benign lesions and pseudolesions, which therefore may be misinterpreted as malignancies. In addition, a correct distinction between pseudolesions and malignancy is crucial to allow appropriate targeted therapy and avoid treatment delays.The present review encompasses technical pitfalls and describes focal benign lesions and pseudolesions that may be misinterpreted as HCC in cirrhotic livers, providing the imaging features of regenerative nodules, large regenerative nodules, siderotic nodules, hepatic hemangiomas (including rapidly filling and sclerosed hemangiomas), segmental hyperplasia, arterioportal shunts, focal confluent fibrosis and focal fatty changes. Lastly, the present review explores the most promising new imaging techniques that are emerging and that could help radiologists differentiate benign lesions and pseudolesions from overt HCC.
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Affiliation(s)
- Matteo Renzulli
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Via Albertoni 15, Bologna, Italia.
| | - Nicolò Brandi
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Via Albertoni 15, Bologna, Italia
| | - Giulia Argalia
- Division of Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Stefano Brocchi
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Via Albertoni 15, Bologna, Italia
| | - Andrea Farolfi
- Division of Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Stefano Fanti
- Division of Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Rita Golfieri
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Via Albertoni 15, Bologna, Italia
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Sun J, Sha Y, Geng W, Chen J, Xing W. Susceptibility-weighted Imaging for Renal Iron Overload Assessment: A Pilot Study. Magn Reson Med Sci 2021; 21:415-424. [PMID: 33642470 PMCID: PMC9316138 DOI: 10.2463/mrms.mp.2020-0154] [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] [Indexed: 11/29/2022] Open
Abstract
Purpose: To explore the feasibility of susceptibility-weighted imaging (SWI) for evaluating renal iron overload. Methods: Twenty-eight rabbits were randomly assigned into control (n = 14) and iron (n = 14) group. In the 0th week, the study group was injected with iron dextran. Both groups underwent SWI examination at the 0th, 8th, and 12th week. The signal intensity (SI) of cortex and medulla was assessed. Angle radian value (ARV) calculated with phase image was taken as the quantitative value for cortical and medullary iron deposition. After the 12th week, the left kidneys of rabbits were removed for pathology. The difference in the ARV among three groups was analyzed using Kruskal–Wallis test. The difference of the iron content between two groups was analyzed through independent sample t-test. Results: In the iron group: at the 12th week, eight rabbits were found to have decreased SI of only cortex, and the other six rabbits had decreased SI of cortex and medulla by the same degree; the ARV of cortex at the 8th and 12th week was significantly higher than that of the 0th week (P < 0.05); the ARV of the six rabbits’ medulla at the 12th week was significantly higher than that of the 0th week, 8th week, and the other eight rabbits at the 12th week (P < 0.05); at the 12th week, eight rabbits (iron group) were found to have many irons only deposit in the cortex, and the others were found to have many irons deposit in both cortex and medulla; the iron content of cortex and six rabbits’ medulla in the iron group was significantly higher than that of the control (P < 0.05). Conclusion: The ARV of SWI can be used to quantitatively assess the excess iron deposition in the kidneys. Excessive iron deposition mainly occurs in the cortex or medulla and causes their SWI SI to decrease.
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Affiliation(s)
- Jun Sun
- Department of Radiology, The Third Affiliated Hospital of Soochow University
| | - Yuanyuan Sha
- Department of Radiology, The Third Affiliated Hospital of Soochow University
| | - Weiwei Geng
- Department of Radiology, The Third Affiliated Hospital of Soochow University
| | - Jie Chen
- Department of Radiology, The Third Affiliated Hospital of Soochow University
| | - Wei Xing
- Department of Radiology, The Third Affiliated Hospital of Soochow University
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Zou LQ, Zhao F, Zhang H, Zhang K, Xing W. Staging liver fibrosis on multiparametric MRI in a rabbit model with elastography, susceptibility-weighted imaging and T1ρ imaging: a preliminary study. Acta Radiol 2021; 62:155-163. [PMID: 32326722 DOI: 10.1177/0284185120917117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Magnetic resonance elastography (MRE), susceptibility-weighted imaging (SWI), and T1ρ are three techniques for staging of liver fibrosis (LF). PURPOSE To assess the value of MRE, SWI, and T1ρ imaging in staging LF. MATERIAL AND METHODS Sixty rabbits were injected with 50% CCl4oil solution, whereas 20 rabbits were given normal saline. All rabbits underwent pathological examination to determine LF stages. The liver stiffness (LS), liver-to-muscle signal intensity ratio (SIR), and T1ρ values were measured from MRE, SWI, and T1ρ imaging, respectively. RESULTS The number of rabbits was 14, 11, 10, 9, and 11 for F0, F1, F2, F3, and F4, respectively. LS (r = 0.91) and T1ρ (r = 0.51) positively correlated with LF stages, while negative correlation was present for SIR (r = -0.81). Among the three parameters, the LS values revealed the best diagnostic efficacy in staging LF, with an AUC value of 0.95 for ≥F1, 0.95 for ≥F2, 0.99 for ≥F3, and 0.98 for ≥F4. The combination of LS and SIR could best predict LF stages ≥F1, ≥F2, ≥F3 and ≥F4, with AUC values of 0.97, 0.98, 0.99, and 0.99, respectively, which were greater than those of the other two-paired parameters. A multiparametric analysis showed that the combination of all three parameters had AUC values of 0.97, 0.98, 1.00, and 1.00 for staging ≥F1, ≥F2, ≥F3, and ≥F4, respectively. CONCLUSION Multiparametric MR imaging was superior to individual imaging for LF staging.
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Affiliation(s)
- Li-Qiu Zou
- Department of Radiology, The Sixth Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, PR China
| | - Feng Zhao
- Department of Radiation Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, PR China
| | - Hao Zhang
- Department of Radiology, Affiliated Shenzhen Sixth Hospital of Guangdong Medical University, Shenzhen, PR China
| | - Kai Zhang
- Department of Radiology, Affiliated Shenzhen Sixth Hospital of Guangdong Medical University, Shenzhen, PR China
| | - Wei Xing
- Department of Radiology, Third Affiliated Hospital of Soochow University & Changzhou First People’s Hospital, Changzhou, Jiangsu, PR China
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Thomaides-Brears HB, Lepe R, Banerjee R, Duncker C. Multiparametric MR mapping in clinical decision-making for diffuse liver disease. Abdom Radiol (NY) 2020; 45:3507-3522. [PMID: 32761254 PMCID: PMC7593302 DOI: 10.1007/s00261-020-02684-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 06/12/2020] [Accepted: 07/22/2020] [Indexed: 02/07/2023]
Abstract
Accurate diagnosis, monitoring and treatment decisions in patients with chronic liver disease currently rely on biopsy as the diagnostic gold standard, and this has constrained early detection and management of diseases that are both varied and can be concurrent. Recent developments in multiparametric magnetic resonance imaging (mpMRI) suggest real potential to bridge the diagnostic gap between non-specific blood-based biomarkers and invasive and variable histological diagnosis. This has implications for the clinical care and treatment pathway in a number of chronic liver diseases, such as haemochromatosis, steatohepatitis and autoimmune or viral hepatitis. Here we review the relevant MRI techniques in clinical use and their limitations and describe recent potential applications in various liver diseases. We exemplify case studies that highlight how these techniques can improve clinical practice. These techniques could allow clinicians to increase their arsenals available to utilise on patients and direct appropriate treatments.
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Affiliation(s)
| | - Rita Lepe
- Texas Liver Institute, 607 Camden St, Suite 101, San Antonio, TX, 78215, USA
| | | | - Carlos Duncker
- Perspectum, 600 N. Pearl St. Suite 1960, Plaza of The Americas, Dallas, TX, 75201, USA
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Yang Y, Liu C, Qi L, Zhao T, Feng Y, Ai X, Zhao X, Li J, Zhu Q. Diagnosis of Pre-HCC Disease by Hepatobiliary-Specific Contrast-Enhanced Magnetic Resonance Imaging: A Review. Dig Dis Sci 2020; 65:2492-2502. [PMID: 31808004 DOI: 10.1007/s10620-019-05981-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 11/27/2019] [Indexed: 12/14/2022]
Abstract
We first proposed a new concept, pre-hepatocellular carcinoma (HCC) disease, to describe the precancerous condition of HCC, which has received scant attention from clinicians. Pre-HCC disease is defined as chronic liver injury concurrent with hepatic low- or high-grade dysplastic nodular lesions. Precise diagnosis of pre-HCC disease may prevent or arrest HCC and contribute to relieving the HCC burden worldwide, although noninvasive diagnosis is difficult and biopsy is generally required. Fortunately, recent advances and extensive applications of hepatobiliary-specific contrast-enhanced magnetic resonance imaging will facilitate the noninvasive identification and characterization of pre-HCC disease. This review briefly discusses the new concept of pre-HCC disease and offers an overview of the role of hepatobiliary-specific contrast-enhanced magnetic resonance imaging for the diagnosis of pre-HCC disease.
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Affiliation(s)
- Yao Yang
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Chenxi Liu
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Linyu Qi
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Tong Zhao
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Yuemin Feng
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Xin Ai
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Xinya Zhao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
| | - Jie Li
- Department of Infectious Disease, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
| | - Qiang Zhu
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China.
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China.
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Chen X, Niu J, Peng R, Song Y, Xu N, Zhang Y. The early diagnosis of Parkinson's disease through combined biomarkers. Acta Neurol Scand 2019; 140:268-273. [PMID: 31190374 DOI: 10.1111/ane.13140] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 06/04/2019] [Accepted: 06/07/2019] [Indexed: 01/11/2023]
Abstract
OBJECTIVE This study primarily aims to explore the value of combining the measurement of plasma α-synuclein oligomer levels with enhanced T2 star-weighted angiography (ESWAN) in the early diagnosis of Parkinson's disease. METHODS Sixty patients with early Parkinson's disease and 30 normal adults, with similar ages and genders, were enrolled in the study. Their levels of plasma α-synuclein oligomers were measured, and ESWAN was performed. The amplitudes, phases and R2* values of the head, body and tail of the ipsilateral and contralateral substantia nigra pars compacta (SNc) were measured, at the side of the limb with severe symptoms or early symptoms. The receiver operating characteristic (ROC) curve was used to explore the value of these indexes in the early diagnosis of Parkinson's disease. RESULTS The plasma level of α-synuclein oligomer was significantly higher in the experimental group than in the control group (P < 0.05). The amplitude values of the head and tail of contralateral SNcs were significantly lower in the experimental group than in the control group (P < 0.05). In the single-index assessment, the serum α-synuclein oligomer had the highest specificity (70%), while the sensitivity of the amplitude of the head and tail of the contralateral SNc was 75% and 80%, respectively. The area under the curve, for the combination of these three indicators, was 0.827, diagnostic efficiency was particularly high, and sensitivity and specificity both reached 80%. CONCLUSION The combined detection of plasma α-synuclein oligomer and amplitude of the head and tail of the SNc has high diagnostic specificity and sensitivity.
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Affiliation(s)
- Xin‐Qiao Chen
- Department of Neurology The Second Affiliated Hospital of Xiamen Medical College Xiamen China
| | - Jian‐Ping Niu
- Department of Neurology The Second Affiliated Hospital of Xiamen Medical College Xiamen China
| | - Rui‐Qiang Peng
- Department of Neurology The Second Affiliated Hospital of Xiamen Medical College Xiamen China
| | - Ye‐Hua Song
- Department of Neurology The Second Affiliated Hospital of Xiamen Medical College Xiamen China
| | - Na Xu
- Department of Neurology The Second Affiliated Hospital of Xiamen Medical College Xiamen China
| | - Yi‐Wen Zhang
- Department of Neurology The Second Affiliated Hospital of Xiamen Medical College Xiamen China
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Liver MRI susceptibility-weighted imaging (SWI) compared to T2* mapping in the presence of steatosis and fibrosis. Eur J Radiol 2019; 118:66-74. [PMID: 31439261 DOI: 10.1016/j.ejrad.2019.07.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 06/22/2019] [Accepted: 07/01/2019] [Indexed: 12/20/2022]
Abstract
PURPOSE To show that both susceptibility-weighted imaging (SWI) and T2*-mapping are dependent on liver steatosis, which should be taken into account when using these parameters to grade liver fibrosis and cirrhosis. METHODS In this prospective study, a total of 174 patients without focal liver disease underwent multiparametric MRI at 3 T including SWI, T1- and T2* mapping, proton density fat fraction (PDFF) quantification and MR elastography. SWI, T2* and T1 were measured in the liver (4 locations), as well as in paraspinal muscles, to calculate the liver-to-muscle ratio (LMR). Liver and LMR values were compared among patients with different steatosis grades (PDFF < 5%, 5-10%, 10-20% and >20%), patients with normal, slightly increased and increased liver stiffness (<2.8 kPa, 2.8-3.5 kPa and >3.5 kPa, respectively). ANOVA with Bonferroni-corrected post hoc tests as well as a multivariate analysis were used to compare values among groups and parameters. RESULTS SWI and T2* both differed significantly among groups with different steatosis grades (p < 0.001). However, SWI allowed a better differentiation among liver fibrosis grades (p < 0.001) than did T2* (p = 0.05). SWI LMR (p < 0.001) and T2* LMR (p = 0.036) showed a similar performance in differentiating among liver fibrosis grades. CONCLUSION SWI and T2*-mapping are strongly dependent on the liver steatosis grades. Nevertheless, both parameters are useful predictors for liver fibrosis when using a multiparametric approach.
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Shetty AS, Sipe AL, Zulfiqar M, Tsai R, Raptis DA, Raptis CA, Bhalla S. In-Phase and Opposed-Phase Imaging: Applications of Chemical Shift and Magnetic Susceptibility in the Chest and Abdomen. Radiographics 2019; 39:115-135. [DOI: 10.1148/rg.2019180043] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Anup S. Shetty
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Adam L. Sipe
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Maria Zulfiqar
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Richard Tsai
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Demetrios A. Raptis
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Constantine A. Raptis
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Sanjeev Bhalla
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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Cai Y, Huang MP, Wang XF, Lu X, Luo L, Shu J. Quantitative analysis of susceptibility-weighted magnetic resonance imaging in chronic hepatitis in rats. Magn Reson Imaging 2018; 54:71-76. [DOI: 10.1016/j.mri.2018.08.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Revised: 08/01/2018] [Accepted: 08/17/2018] [Indexed: 02/07/2023]
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Yan F, He N, Lin H, Li R. Iron deposition quantification: Applications in the brain and liver. J Magn Reson Imaging 2018; 48:301-317. [PMID: 29897645 DOI: 10.1002/jmri.26161] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 04/02/2018] [Indexed: 01/01/2023] Open
Abstract
Iron has long been implicated in many neurological and other organ diseases. It is known that over and above the normal increases in iron with age, in certain diseases there is an excessive iron accumulation in the brain and liver. MRI is a noninvasive means by which to image the various structures in the brain in three dimensions and quantify iron over the volume of the object of interest. The quantification of iron can provide information about the severity of iron-related diseases as well as quantify changes in iron for patient follow-up and treatment monitoring. This article provides an overview of current MRI-based methods for iron quantification, specifically for the brain and liver, including: signal intensity ratio, R2 , R2*, R2', phase, susceptibility weighted imaging and quantitative susceptibility mapping (QSM). Although there are numerous approaches to measuring iron, R2 and R2* are currently preferred methods in imaging the liver and QSM has become the preferred approach for imaging iron in the brain. LEVEL OF EVIDENCE 5 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2018. J. MAGN. RESON. IMAGING 2018;48:301-317.
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Affiliation(s)
- Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huimin Lin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruokun Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhang JG, Xing ZY, Zha TT, Tian XJ, Du YN, Chen J, Xing W. Longitudinal assessment of rabbit renal fibrosis induced by unilateral ureteral obstruction using two-dimensional susceptibility weighted imaging. J Magn Reson Imaging 2017; 47:1572-1577. [PMID: 29236342 DOI: 10.1002/jmri.25915] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 11/14/2017] [Accepted: 11/16/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Previous studies indicated that two-dimensional-susceptibility weighted imaging (2D-SWI) could serve as a useful biomarker for differentiating the grade of liver fibrosis. PURPOSE To evaluate the feasibility of 2D-SWI in the dynamic quantification of renal fibrosis in a rabbit model. STUDY TYPE Longitudinal study. ANIMAL MODEL Twenty-Four New Zealand White Rabbits including control group (n = 4); and renal fibrosis group (n = 20), by means of a unilateral ureteral obstruction (UUO) model. FIELD STRENGTH/SEQUENCE The 3.0 T SWI using a 2D gradient-echo sequence. ASSESSMENT The relative SWI signal ratio(r) of cortical and medulla (r = SIrenal /SImuscle ) was longitudinally assessed before ligation and on weeks 2, 4, 6, and 8 following ligation. Sirius Red staining was used to assess the degree of fibrosis in five high-power fields. STATISTICAL TESTS The repeated measures of analysis of variance and linear regression analysis. RESULTS Both the cortical and medullary r values were significantly higher in the UUO kidneys at week 2 compared with the kidneys before ligation. Over the course of UUO progression, significant changes occurred in the cortical and medullary r values in vivo and fibrosis scores in vitro (all P values < 0.05). The r values gradually decreased, while the fibrosis scores gradually increased over 8 weeks following ligation. The linear regression analysis showed a strong and significant correlation between cortical and medullary r values and the pathologic fibrosis scores (R2 = 0.91, 0.81, respectively). DATA CONCLUSION The SWI sequence could provide a quantitative evaluation of renal fibrosis during UUO progression. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:1572-1577.
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Affiliation(s)
- Jing-Gang Zhang
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Zhao-Yu Xing
- Department of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Ting-Ting Zha
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Xiao-Juan Tian
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Ya-Nan Du
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Jie Chen
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Wei Xing
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China
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