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Elkrief L, Hernandez-Gea V, Senzolo M, Albillos A, Baiges A, Berzigotti A, Bureau C, Murad SD, De Gottardi A, Durand F, Garcia-Pagan JC, Lisman T, Mandorfer M, McLin V, Moga L, Nery F, Northup P, Nuzzo A, Paradis V, Patch D, Payancé A, Plaforet V, Plessier A, Poisson J, Roberts L, Salem R, Sarin S, Shukla A, Toso C, Tripathi D, Valla D, Ronot M, Rautou PE. Portal vein thrombosis: diagnosis, management, and endpoints for future clinical studies. Lancet Gastroenterol Hepatol 2024:S2468-1253(24)00155-9. [PMID: 38996577 DOI: 10.1016/s2468-1253(24)00155-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/27/2024] [Accepted: 05/08/2024] [Indexed: 07/14/2024]
Abstract
Portal vein thrombosis (PVT) refers to the development of a non-malignant obstruction of the portal vein, its branches, its radicles, or a combination. This Review first provides a comprehensive overview of all aspects of PVT, namely the specifics of the portal venous system, the risk factors for PVT, the pathophysiology of portal hypertension in PVT, the interest in non-invasive tests, as well as therapeutic approaches including the effect of treating risk factors for PVT or cause of cirrhosis, anticoagulation, portal vein recanalisation by interventional radiology, and prevention and management of variceal bleeding in patients with PVT. Specific issues are also addressed including portal cholangiopathy, mesenteric ischaemia and intestinal necrosis, quality of life, fertility, contraception and pregnancy, and PVT in children. This Review will then present endpoints for future clinical studies in PVT, both in patients with and without cirrhosis, agreed by a large panel of experts through a Delphi consensus process. These endpoints include classification of portal vein thrombus extension, classification of PVT evolution, timing of assessment of PVT, and global endpoints for studies on PVT including clinical outcomes. These endpoints will help homogenise studies on PVT and thus facilitate reporting, comparison between studies, and validation of future studies and trials on PVT.
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Affiliation(s)
- Laure Elkrief
- Faculté de médecine de Tours, et service d'hépato-gastroentérologie, Le Centre Hospitalier Régional Universitaire de Tours, Tours, France; Centre de recherche sur l'inflammation, Université Paris-Cité, Paris, France
| | - Virginia Hernandez-Gea
- Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic de Barcelona, Institut de Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas, Madrid, Spain; Departament de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Marco Senzolo
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Agustin Albillos
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas, Madrid, Spain; Departamento de Gastroenterología y Hepatología, Instituto Ramón y Cajal de Investigación Sanitaria, Hospital Universitario Ramon y Cajal, Madrid, Spain
| | - Anna Baiges
- Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic de Barcelona, Institut de Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas, Madrid, Spain; Departament de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Annalisa Berzigotti
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Christophe Bureau
- Service d'Hépatologie Hôpital Rangueil, Université Paul Sabatier, Toulouse, France
| | - Sarwa Darwish Murad
- Department of Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Andrea De Gottardi
- Gastroenterology and Hepatology Department, Ente Ospedaliero Cantonale Faculty of Biomedical Sciences of Università della Svizzera Italiana, Lugano, Switzerland
| | - François Durand
- Centre de recherche sur l'inflammation, Université Paris-Cité, Paris, France; Service d'Hépatologie, AP-HP Hôpital Beaujon, Clichy, France
| | - Juan-Carlos Garcia-Pagan
- Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic de Barcelona, Institut de Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas, Madrid, Spain; Departament de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Ton Lisman
- Department of Surgery, University Medical Center Groningen, Groningen, Netherlands
| | - Mattias Mandorfer
- Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Valérie McLin
- Swiss Pediatric Liver Center, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Geneva, Switzerland
| | - Lucile Moga
- Centre de recherche sur l'inflammation, Université Paris-Cité, Paris, France; Service d'Hépatologie, AP-HP Hôpital Beaujon, Clichy, France
| | - Filipe Nery
- Immuno-Physiology and Pharmacology Department, School of Medicine and Biomedical Sciences, University of Porto, Portugal
| | - Patrick Northup
- Transplant Institute and Division of Gastroenterology, NYU Langone, New York, NY, USA
| | - Alexandre Nuzzo
- Intestinal Stroke Center, Department of Gastroenterology, IBD and Intestinal Failure, AP-HP Hôpital Beaujon, Clichy, France; Laboratory for Vascular and Translational Science, INSERM UMR 1148, Paris, France
| | - Valérie Paradis
- Department of Pathology, AP-HP Hôpital Beaujon, Clichy, France
| | - David Patch
- Department of Hepatology and Liver Transplantation, Royal Free Hospital, London, UK
| | - Audrey Payancé
- Centre de recherche sur l'inflammation, Université Paris-Cité, Paris, France; Service d'Hépatologie, AP-HP Hôpital Beaujon, Clichy, France
| | | | - Aurélie Plessier
- Centre de recherche sur l'inflammation, Université Paris-Cité, Paris, France; Service d'Hépatologie, AP-HP Hôpital Beaujon, Clichy, France
| | - Johanne Poisson
- Centre de recherche sur l'inflammation, Université Paris-Cité, Paris, France; Service de Gériatrie, Hôpital Corentin Celton (AP-HP), Paris, France
| | - Lara Roberts
- Department of Haematological Medicine, King's College Hospital NHS Foundation Trust, London, UK
| | - Riad Salem
- Northwestern Memorial Hospital, Northwestern University, Chicago, IL, USA
| | - Shiv Sarin
- Institute of Liver and Biliary Sciences, New Delhi, India
| | - Akash Shukla
- Department of Gastroenterology, Seth GS Medical College and KEM Hospital, Mumbai, India
| | - Christian Toso
- Service de Chirurgie Viscérale, Hôpitaux Universitaires de Genève, Geneva, Switzerland
| | - Dhiraj Tripathi
- Department of Liver and Hepato-Pancreato-Biliary Unit, Queen Elizabeth Hospital, University Hospitals Birmingham, Birmingham, UK; Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Dominique Valla
- Centre de recherche sur l'inflammation, Université Paris-Cité, Paris, France; Service d'Hépatologie, AP-HP Hôpital Beaujon, Clichy, France
| | - Maxime Ronot
- Centre de recherche sur l'inflammation, Université Paris-Cité, Paris, France; Service de Radiologie, AP-HP Hôpital Beaujon, Clichy, France
| | - Pierre-Emmanuel Rautou
- Centre de recherche sur l'inflammation, Université Paris-Cité, Paris, France; Service d'Hépatologie, AP-HP Hôpital Beaujon, Clichy, France.
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Sambhav K, Krishna H, Dixit SG, Ghatak S. Morphological Study of Variations of the Human Cadaveric Liver and Its Clinical Implications. Cureus 2023; 15:e35507. [PMID: 37007425 PMCID: PMC10050914 DOI: 10.7759/cureus.35507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2023] [Indexed: 03/03/2023] Open
Abstract
Introduction With increasing dependence on laparoscopic procedures, precise knowledge of external variations of the liver is essential for good surgical and interventional outcomes, preventing imaging misdiagnosis, and curtailing complications. The present study aims to evaluate the gross anatomical variations of the liver. Materials and Methods The 40 adult cadaveric livers of age 60-80 years were removed during the routine dissection for undergraduate medical students and examined for morphological variations in the form of size, shape, and fissures. Results Accessory fissures were observed on the caudate lobe (CL) in 23 (57.5%), on the quadrate lobe (QL) in seven (17.5%), on the right lobe (RL) in 29 (72.5%), and on the left lobe (LL) in 12 (30%) specimens. Netter's Type 2, Type 4, Type 5, Type 6, and Type 7 liver were observed in four (10%), seven (17.5%), one (2.5%), three (7.5%), and three (7.5%) specimens respectively. The most common shapes of the CL and QL were rectangular in 16 (40%) and quadrangular in 10 (25%) specimens respectively. Pons hepatis were seen in three (7.5%) specimens. The mean length (cm) of RL and LL were 17.75 ±3.09 and 16.9±3.69 respectively, whereas the mean transverse diameter (TD) (cm) of RL and LL were 7.98±1.20 and 7.85±1.58 respectively. The mean length and TD (cm) of CL were 5.62±1.67 and 2.48±1.00 respectively. The mean length and TD (cm) of the QL were 6.00±1.51 and 2.81±0.83 respectively. Conclusion Precise knowledge of these variations would be helpful for surgeons in planning and performing surgical procedures and for anatomists.
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Bae DJ, Yang ES, Park WS, Lee HK, Song JS, Kim TH, Yoon KH. Reproducibility of MRI-derived liver surface nodularity score: analysis of patients with repeated MRI in various scanners. Abdom Radiol (NY) 2023; 48:590-600. [PMID: 36416904 DOI: 10.1007/s00261-022-03744-6] [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: 08/16/2022] [Revised: 11/06/2022] [Accepted: 11/08/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE To assess trans-regional differences, reproducibility across different MRI scanners, and interobserver agreement of liver surface nodularity (LSN) score from routine liver MRI and to evaluate the correlation between LSN score and liver stiffness (LS) value on MR elastography. MATERIALS AND METHODS Ninety patients who underwent gadoxetic acid-enhanced liver MRI twice using different MRI scanners within a year were evaluated. On axial hepatobiliary phase images, right anterior (LSNRT_ANT), right posterior (LSNRT_POST), and left anterior hepatic surface (LSNLT) were chosen for the quantification of LSN score. Repeated-measures ANOVA, paired t test, Pearson's correlation coefficient analysis, and intraclass correlation coefficient (ICC) were used for statistical analysis. RESULTS LSN scores from high to low were LSNRT_POST, LSNRT_ANT, and LSNLT, representing trans-regional differences (p < 0.001). Reproducibility of LSN measurement across different MRI scanners was high to excellent (ICC = 0.838-0.921). The mean difference between first and second examinations in LSNRT_ANT, LSNRT_POST, and LSNLT were 0.032 (p = 0.013), 0.002 (p = 0.910), and 0.010 (p = 0.285) for reader 1 and 0.051 (p = 0.004), 0.061 (p = 0.002), and 0.023 (p = 0.005) for reader 2. The first and second examinations were highly correlated in all hepatic regions (r = 0.712-0.839, p < 0.001). There was a low to moderate correlation between LSN score and LS value (r = 0.364-0.592, p ≤ 0.001), which was higher in the chronic hepatitis B (CHB) group than in the non-CHB group in all hepatic regions. CONCLUSIONS In our study, LSN measurement on liver MRI showed trans-regional differences and excellent reproducibility across different MRI scanners. To use LSN score more widely, standardization of quantification software and selected hepatic regions is needed.
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Affiliation(s)
- Deok Jin Bae
- Jeonbuk National University Medical School, Jeonju, South Korea
| | - Eun Sung Yang
- Jeonbuk National University Medical School, Jeonju, South Korea
| | - Woo Sung Park
- Jeonbuk National University Medical School, Jeonju, South Korea
| | - Hyun Kyung Lee
- Department of Radiology, Jeonbuk National University Medical School and Hospital, 20 Geonji-Ro, Deokjin-Gu, Jeonju, 54907, Jeonbuk, Korea.,Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, South Korea.,Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
| | - Ji Soo Song
- Department of Radiology, Jeonbuk National University Medical School and Hospital, 20 Geonji-Ro, Deokjin-Gu, Jeonju, 54907, Jeonbuk, Korea. .,Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, South Korea. .,Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea.
| | - Tae-Hoon Kim
- Medical Convergence Research Center, Wonkwang University, Iksan, South Korea
| | - Kwon-Ha Yoon
- Medical Convergence Research Center, Wonkwang University, Iksan, South Korea.,Department of Radiology, Wonkwang University School of Medicine, Iksan, South Korea
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Liver cirrhosis: relationship between fibrosis-associated hepatic morphological changes and portal hemodynamics using four-dimensional flow magnetic resonance imaging. Jpn J Radiol 2023; 41:625-636. [PMID: 36656540 DOI: 10.1007/s11604-023-01388-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 01/04/2023] [Indexed: 01/20/2023]
Abstract
PURPOSE The mechanisms underlying the morphological changes in liver cirrhosis remain unknown. This study aimed to clarify the relationship between fibrotic hepatic morphology and portal hemodynamic changes using four-dimensional flow magnetic resonance imaging (MRI). MATERIALS AND METHODS Overall, 100 patients with suspected liver disease who underwent 3-T MRI were evaluated in this retrospective study. Liver fibrosis was assessed using a combination of visual assessment of the hepatic morphology and quantitative measures, including the fibrosis-4 index and aspartate transaminase-to-platelet ratio. It was classified into three groups according to the severity of fibrosis as follows: A (normal), B (mild-to-moderate), and C (severe). Quantitative indices, including area (mm2), net flow (mL/s), and average velocity (cm/s), were measured in the right portal vein (RPV) and left portal vein (LPV), and were compared across the groups using the Kruskal-Wallis and Mann-Whitney U tests. RESULTS Among the 100 patients (69.1 ± 12.1 years; 59 men), 45, 35, and 20 were categorized into groups A, B, and C, respectively. The RPV area significantly differed among the groups (from p < 0.001 to p = 0.001), showing a gradual decrease with fibrosis progression. Moreover, the net flow significantly differed between groups A and B and between groups A and C (p < 0.001 and p < 0.001, respectively), showing a decrease during the early stage of fibrosis. In the LPV, the net flow significantly differed among the groups (from p = 0.001 to p = 0.030), revealing a gradual increase with fibrosis progression. CONCLUSION The atrophy-hypertrophy complex, which is a characteristic imaging finding in advanced cirrhosis, was closely associated with decreased RPV flow in the early stage of fibrosis and a gradual increase in LPV flow across all stages of fibrosis progression.
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Jang W, Song JS, Kim TH, Yoon KH. Intraindividual comparison of MRI-derived liver surface nodularity score at 1.5 T and 3 T. Abdom Radiol (NY) 2022; 47:1053-1060. [PMID: 35064351 DOI: 10.1007/s00261-022-03415-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 01/07/2022] [Accepted: 01/07/2022] [Indexed: 12/17/2022]
Abstract
PURPOSE To compare the MRI-derived liver surface nodularity (LSN) scores acquired on both 1.5 T and 3 T. MATERIALS AND METHODS Forty chronic liver disease patients who underwent gadoxetic acid-enhanced MRI at both 1.5 and 3 T were included. Axial hepatobiliary phase images with the same voxel size were used to calculate the LSN score in both liver lobes with a quantitative software. Rank correlation, Wilcoxon test, and Bland-Altman limits of agreement were used for statistical analysis. RESULTS There was a weak correlation between the right and left liver lobe on 1.5 T (rs = 0.331, p = 0.037) and 3 T (rs = 0.381, p = 0.015). The correlation between 1.5 T and 3 T on both liver lobes showed a very strong correlation (right, rs = 0.927, p < 0.001; left, rs = 0.845, p < 0.001). LSN scores differed significantly between both lobes on 1.5 T (median, 1.201 vs. 0.674, right vs. left) and 3 T (1.076 vs. 0.592) (all p < 0.001). LSN scores differed significantly between 1.5 T and 3 T on both lobes (all p < 0.001). The Bland-Altman plot comparing 1.5 T and 3 T on right and left liver lobes showed a systemic bias of 0.08 and 0.07, respectively. CONCLUSIONS LSN scores differed significantly on 1.5 T vs. 3 T and right vs. left liver lobe. Caution should be made when comparing LSN scores derived from different field strengths or the hepatic lobe. Interplatform, interlobar reproducibility should be resolved to use LSN scores, which is relatively easy to perform without additional hardware or images.
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Affiliation(s)
- Weon Jang
- Department of Radiology, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
- Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, Korea
- Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju, 54907, Jeonbuk, Korea
| | - Ji Soo Song
- Department of Radiology, Jeonbuk National University Medical School and Hospital, Jeonju, Korea.
- Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, Korea.
- Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju, 54907, Jeonbuk, Korea.
| | - Tae-Hoon Kim
- Medical Convergence Research Center, Wonkwang University, Iksan, South Korea
| | - Kwon-Ha Yoon
- Medical Convergence Research Center, Wonkwang University, Iksan, South Korea
- Department of Radiology, Wonkwang University School of Medicine, Iksan, South Korea
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Catania R, Furlan A, Smith AD, Behari J, Tublin ME, Borhani AA. Diagnostic value of MRI-derived liver surface nodularity score for the non-invasive quantification of hepatic fibrosis in non-alcoholic fatty liver disease. Eur Radiol 2020; 31:256-263. [PMID: 32757050 DOI: 10.1007/s00330-020-07114-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/05/2020] [Accepted: 07/24/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To assess the accuracy of MRI-derived liver surface nodularity (LSN) score for staging of hepatic fibrosis in patients with non-alcoholic fatty liver disease (NAFLD). METHODS Forty-seven patients with clinicopathological diagnosis of NAFLD who underwent 1.5-T liver MRI within 12 months of liver biopsy were included. Axial non-contrast T1-weighted 3D GRE was used for image analysis. LSN of the left lobe was measured using a custom semiautomated software. Histopathologic analysis (F0-F4) served as the reference standard for staging of fibrosis. Mann-Whitney test and Spearman's correlation coefficient were used to compare LSN scores between different stages of fibrosis and to assess the correlation. Diagnostic performance of LSN score for detection of significant (F2-F4) and advanced (F3-F4) fibrosis was assessed by receiver operating characteristics (ROC) curve. p value of less than 0.05 was considered statistically significant different. RESULTS Twenty-one subjects had advanced fibrosis. The LSN scores among different stages of fibrosis were significantly different (p < 0.001). The correlation between LSN score and stage of fibrosis was also strong (ρ = 0.71; p < 0.001). The areas under ROC curves for detection of significant and advanced fibrosis were 0.80 (95% CI 0.66-0.95) and 0.86 (95% CI 0.75-0.97), using a threshold of 2.23 and 2.44, respectively. This method showed 81% sensitivity and 88% specificity for detection of advanced fibrosis. CONCLUSION MR-based LSN score is a promising non-invasive objective tool for detection of advanced fibrosis in patients with NAFLD. KEY POINTS • Liver surface nodularity (LSN) score is a fast retrospective method for precise quantification of nodularity of liver surface. • MR-based LSN score is a promising non-invasive objective tool to accurately detect different stages of fibrosis in patients with non-alcoholic fatty liver disease (NAFLD).
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Affiliation(s)
- Roberta Catania
- Department of Radiology, Division of Abdominal Imaging, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alessandro Furlan
- Division of Abdominal Imaging, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Andrew D Smith
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jaideep Behari
- Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mitchell E Tublin
- Department of Radiology, Division of Abdominal Imaging, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amir A Borhani
- Department of Radiology, Division of Abdominal Imaging, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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Shin N, Choi JA, Choi JM, Cho ES, Kim JH, Chung JJ, Yu JS. Sclerotic changes of cavernous hemangioma in the cirrhotic liver: long-term follow-up using dynamic contrast-enhanced computed tomography. Radiol Med 2020; 125:1225-1232. [PMID: 32415477 DOI: 10.1007/s11547-020-01221-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 04/27/2020] [Indexed: 01/02/2023]
Abstract
PURPOSE To determine the intra- and extralesional factors that predict sclerotic degeneration of hepatic hemangiomas in the cirrhotic liver on long-term follow-up computed tomography (CT) examinations. MATERIALS AND METHODS Fifty-seven hepatic hemangiomas (> 5 mm in diameter) in 41 cirrhotic patients, recruited over a 5-year period (January 2005-December 2009), were subjected to CT to determine which factors predict sclerotic contraction or degeneration in hemangiomas. Prior and follow-up CT examinations (from 2000 to 2018) were included to observe time-related changes. The patients' gender, age, cause of cirrhosis, progression of background liver cirrhosis, lesion size/location/contrast enhancement pattern, and serum aspartate transaminase to platelet ratio index were correlated with sclerotic changes of each lesion. RESULTS According to the dynamic CT features, 36 of 57 (63%) hemangiomas were determined to have sclerotic changes during the follow-up period (1.1-14.4 years, median: 7.8 years), including 28 lesions (49%) reduced by ≥ 20% in diameter. In univariate analysis, age (p = 0.047) and morphological progression of background cirrhosis (p = 0.013) were significantly related to sclerotic change of hemangiomas. In the logistic regression analysis, only morphological progression of background liver cirrhosis independently predicted sclerotic change (odds ratio: 4.88, p = 0.007). With the exception of exophytic location free from size reduction (p = 0.023 in multivariate analysis), no other analyzed factors were significantly correlated with sclerotic changes. CONCLUSION Overall, sclerotic changes of hepatic cavernous hemangioma followed the morphological progression of background liver cirrhosis, while exophytic lesions tended to be free of size reduction.
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Affiliation(s)
- Nari Shin
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea
| | - Ji Ae Choi
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea
| | - Jeong Min Choi
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea
| | - Eun-Suk Cho
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea
| | - Joo Hee Kim
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea
| | - Jae-Joon Chung
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea
| | - Jeong-Sik Yu
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea.
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Ozaki K, Kozaka K, Kosaka Y, Kimura H, Gabata T. Morphometric changes and imaging findings of diffuse liver disease in relation to intrahepatic hemodynamics. Jpn J Radiol 2020; 38:833-852. [PMID: 32347423 DOI: 10.1007/s11604-020-00978-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 04/13/2020] [Indexed: 01/20/2023]
Abstract
Diffuse hepatic diseases have a variety of etiologies, with each showing characteristic morphometric changes. These changes are closely related to micro- and macro-level intrahepatic hemodynamics, in addition to the specific underlying pathophysiology. Short-term disorders in intrahepatic hemodynamics caused by each pathophysiological condition are compensated for by the balance of blood perfusion systems using potential trans-sinusoidal, transversal, and transplexal routes of communication (micro-hemodynamics), while long-term alterations to the intrahepatic hemodynamics result in an increase in total hepatic vascular resistance. Blood flow disorders induced by this increased vascular resistance elicit hepatic cellular necrosis and fibrosis. These changes should be uniformly widespread throughout the whole liver. However, morphometric changes do not occur uniformly, with shrinkage or enlargement not occurring homogeneously. Against this background, several macro-intrahepatic hemodynamic effects arise, such as asymmetrical and complicating morphometric structures of the liver, intricate anatomy of portal venous flow and hepatic venous drainage, and zonal differentiation between central and peripheral zones. These hemodynamic factors and pathophysiological changes are related to characteristic morphometric changes in a complicated manner, based on the combination of selective atrophy and compensatory hypertrophy (atrophy-hypertrophy complex). These changes can be clearly depicted on CT and MR imaging.
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Affiliation(s)
- Kumi Ozaki
- Department of Radiology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui, 910-1193, Japan.
| | - Kazuto Kozaka
- Department of Radiology, Kanazawa University Graduate School of Medicine, Kanazawa, Japan
| | - Yasuo Kosaka
- Department of Radiology, Kanazawa University Graduate School of Medicine, Kanazawa, Japan
| | - Hirohiko Kimura
- Department of Radiology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Toshifumi Gabata
- Department of Radiology, Kanazawa University Graduate School of Medicine, Kanazawa, Japan
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Tang A, Bashir MR, Corwin MT, Cruite I, Dietrich CF, Do RKG, Ehman EC, Fowler KJ, Hussain HK, Jha RC, Karam AR, Mamidipalli A, Marks RM, Mitchell DG, Morgan TA, Ohliger MA, Shah A, Vu KN, Sirlin CB. Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. Radiology 2018; 286:29-48. [PMID: 29166245 PMCID: PMC6677284 DOI: 10.1148/radiol.2017170554] [Citation(s) in RCA: 209] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). It assigns category codes reflecting relative probability of HCC to imaging-detected liver observations based on major and ancillary imaging features. LI-RADS also includes imaging features suggesting malignancy other than HCC. Supported and endorsed by the American College of Radiology (ACR), the system has been developed by a committee of radiologists, hepatologists, pathologists, surgeons, lexicon experts, and ACR staff, with input from the American Association for the Study of Liver Diseases and the Organ Procurement Transplantation Network/United Network for Organ Sharing. Development of LI-RADS has been based on literature review, expert opinion, rounds of testing and iteration, and feedback from users. This article summarizes and assesses the quality of evidence supporting each LI-RADS major feature for diagnosis of HCC, as well as of the LI-RADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- An Tang
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Mustafa R. Bashir
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Michael T. Corwin
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Irene Cruite
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Christoph F. Dietrich
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Richard K. G. Do
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Eric C. Ehman
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Kathryn J. Fowler
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Hero K. Hussain
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Reena C. Jha
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | | | - Adrija Mamidipalli
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Robert M. Marks
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Donald G. Mitchell
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Tara A. Morgan
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Michael A. Ohliger
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Amol Shah
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Kim-Nhien Vu
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Claude B. Sirlin
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - For the LI-RADS Evidence Working Group
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
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10
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Rapp JB, Bellah RD, Maya C, Pawel BR, Anupindi SA. Giant hepatic regenerative nodules in Alagille syndrome. Pediatr Radiol 2017; 47:197-204. [PMID: 27796468 DOI: 10.1007/s00247-016-3728-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2016] [Revised: 09/10/2016] [Accepted: 10/07/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND Children with Alagille syndrome undergo surveillance radiologic examinations as they are at risk for developing cirrhosis and hepatocellular carcinoma. There is limited literature on the imaging of liver masses in Alagille syndrome. We report the ultrasound (US) and magnetic resonance imaging (MRI) appearances of incidental benign giant hepatic regenerative nodules in this population. OBJECTIVE To describe the imaging findings of giant regenerative nodules in patients with Alagille syndrome. MATERIALS AND METHODS A retrospective search of the hospital database was performed to find all cases of hepatic masses in patients with Alagille syndrome during a 10-year period. Imaging, clinical charts, laboratory data and available pathology were reviewed and analyzed and summarized for each patient. RESULTS Twenty of 45 patients with confirmed Alagille syndrome had imaging studies. Of those, we identified six with giant focal liver masses. All six patients had large central hepatic masses that were remarkably similar on US and MRI, in addition to having features of cirrhosis. In each case, the mass was located in hepatic segment VIII and imaging showed the mass splaying the main portal venous branches at the hepatic hilum, as well as smaller portal and hepatic venous branches coursing through them. On MRI, signal intensity of the mass was isointense to liver on T1-weighted sequences in four of six patients, but hyperintense on T1 in two of six patients. In all six cases, the mass was hypointense on T2- weighted sequences. The mass post-contrast was isointense to adjacent liver in all phases in five the cases. Five out of six patients had pathological correlation demonstrating preserved ductal architecture confirming the final diagnosis of a regenerative nodule. CONCLUSION Giant hepatic regenerative nodules with characteristic US and MR features can occur in patients with Alagille syndrome with underlying cirrhosis. Recognizing these lesions as benign giant hepatic regenerative nodules should, thereby, mitigate any need for intervention.
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Affiliation(s)
- Jordan B Rapp
- Department of Radiology, Temple University Hospital, Lewis Katz School of Medicine at Temple University, 3401 N. Broad St., Philadelphia, PA, 19140, USA.
| | - Richard D Bellah
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Carolina Maya
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Bruce R Pawel
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sudha A Anupindi
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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11
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Zhou L, Wang LY, Zhang XM, Zeng NL, Chen TW, Li R, Huang YC, Tang YL. Semi-quantitative assessment of the presence and Child-Pugh class of hepatitis B related cirrhosis by using liver lobe-based dynamic contrast-enhanced MRI. Clin Radiol 2016; 71:1289-1295. [PMID: 27633724 DOI: 10.1016/j.crad.2016.07.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Revised: 07/21/2016] [Accepted: 07/26/2016] [Indexed: 12/31/2022]
Abstract
AIM To determine whether liver lobe-based DCE-MRI can be used to detect the presence and Child-Pugh class of hepatitis B-related cirrhosis. MATERIALS AND METHODS Fifty-six cirrhotic patients with hepatitis B and 20 healthy participants underwent liver DCE-MRI, and the positive enhancement integral (PEI), time to peak (TTP), maximum slope of increase (MSI) and maximum slope of decrease (MSD) of the left lateral liver lobe (LLL), left medial liver lobe (LML), right liver lobe (RL), and caudate lobe (CL) were measured and analysed statistically to evaluate cirrhosis. RESULTS TTP values of the LLL, LML, RL and CL were positively correlated with the Child-Pugh class of cirrhosis (r=0.452 to 0.55, all p<0.05). PEI values of the LLL, LML, RL and CL, as well as the MSI of the CL and the MSD of the RL, were inversely correlated with the Child-Pugh class (r=-0.349 to -0.72, all p<0.05). PEI values of the LLL and CL, or TTP values of the RL had the most area under receiver operating characteristic curve (AUC) of 0.99 for identifying the presence of liver cirrhosis. The PEI of the RL had the largest AUC of 0.975 and 0.78 for distinguishing the Child-Pugh class A of cirrhosis from class B-C and class A-B of cirrhosis from class C, respectively. CONCLUSION Liver lobe-based DCE-MRI parameters are associated with the presence and Child-Pugh class of hepatitis B-related cirrhosis.
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Affiliation(s)
- L Zhou
- Sichuan Key Laboratory of Medical Imaging and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63(#) Wenhua Road, Shunqing District, Nanchong 637000, Sichuan Province, China; Department of Radiology, Affiliated Xi'an Gaoxin Hospital of Xi'an Jiaotong University, Xi'an 710075, Shanxi Province, China
| | - L-Y Wang
- Department of Imaging Centre, Central Hospital of Changsha, Changsha 430100, Hunan Province, China
| | - X-M Zhang
- Sichuan Key Laboratory of Medical Imaging and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63(#) Wenhua Road, Shunqing District, Nanchong 637000, Sichuan Province, China
| | - N-L Zeng
- Sichuan Key Laboratory of Medical Imaging and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63(#) Wenhua Road, Shunqing District, Nanchong 637000, Sichuan Province, China
| | - T-W Chen
- Sichuan Key Laboratory of Medical Imaging and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63(#) Wenhua Road, Shunqing District, Nanchong 637000, Sichuan Province, China.
| | - R Li
- Sichuan Key Laboratory of Medical Imaging and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63(#) Wenhua Road, Shunqing District, Nanchong 637000, Sichuan Province, China
| | - Y-C Huang
- Sichuan Key Laboratory of Medical Imaging and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63(#) Wenhua Road, Shunqing District, Nanchong 637000, Sichuan Province, China
| | - Y-L Tang
- Sichuan Key Laboratory of Medical Imaging and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63(#) Wenhua Road, Shunqing District, Nanchong 637000, Sichuan Province, China
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12
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Non-focal liver signal abnormalities on hepatobiliary phase of gadoxetate disodium-enhanced MR imaging: a review and differential diagnosis. Abdom Radiol (NY) 2016; 41:1399-410. [PMID: 26907715 DOI: 10.1007/s00261-016-0685-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Gadoxetate disodium (Gd-EOB-DTPA) is a linear, non-ionic paramagnetic MR contrast agent with combined extracellular and hepatobiliary properties commonly used for several liver indications. Although gadoxetate disodium is commonly used for detection and characterization of focal lesions, a spectrum of diffuse disease processes can affect the hepatobiliary phase of imaging (i.e., when contrast accumulates within the hepatocytes). Non-focal signal abnormalities during the hepatobiliary phase can be seen with multiple disease processes such as deposition disorders, infiltrating tumors, vascular diseases, and post-treatment changes. The purpose of this paper is to review the different processes which result in non-focal signal alteration during the hepatobiliary phase and to describe imaging patterns that may order a differential diagnosis and facilitate patient management.
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14
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Kang HJ, Kim YI, Kim HC, Jae HJ, Hur S, Chung JW. Does Establishing a Safety Margin Reduce Local Recurrence in Subsegmental Transarterial Chemoembolization for Small Nodular Hepatocellular Carcinomas? Korean J Radiol 2015; 16:1068-78. [PMID: 26357501 PMCID: PMC4559778 DOI: 10.3348/kjr.2015.16.5.1068] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 05/21/2015] [Indexed: 12/12/2022] Open
Abstract
Objective To test the hypothesis that a safety margin may affect local tumor recurrence (LTR) in subsegmental chemoembolization. Materials and Methods In 101 patients with 128 hepatocellular carcinoma (HCC) nodules (1-3 cm in size and ≤ 3 in number), cone-beam CT-assisted subsegmental lipiodol chemoembolization was performed. Immediately thereafter, a non-contrast thin-section CT image was obtained to evaluate the presence or absence of intra-tumoral lipiodol uptake defect and safety margin. The effect of lipiodol uptake defect and safety margin on LTR was evaluated. Univariate and multivariate analyses were performed to indentify determinant factors of LTR. Results Of the 128 HCC nodules in 101 patients, 49 (38.3%) nodules in 40 patients showed LTR during follow-up period (median, 34.1 months). Cumulative 1- and 2-year LTR rates of nodules with lipiodol uptake defect (n = 27) and those without defect (n = 101) were 58.1% vs. 10.1% and 72.1% vs. 19.5%, respectively (p < 0.001). Among the 101 nodules without a defect, the 1- and 2-year cumulative LTR rates for nodules with complete safety margin (n = 52) and those with incomplete safety margin (n = 49) were 9.8% vs. 12.8% and 18.9% vs. 19.0% (p = 0.912). In multivariate analyses, ascites (p = 0.035), indistinct tumor margin on cone-beam CT (p = 0.039), heterogeneous lipiodol uptake (p = 0.023), and intra-tumoral lipiodol uptake defect (p < 0.001) were determinant factors of higher LTR. Conclusion In lipiodol chemoembolization, the safety margin in completely lipiodolized nodule without defect will not affect LTR in small nodular HCCs.
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Affiliation(s)
- Hyo-Jin Kang
- Department of Radiology, Seoul National University Hospital, Seoul 03080, Korea. ; Department of Radiology, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Young Il Kim
- Department of Radiology, Seoul National University Hospital, Seoul 03080, Korea. ; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 03080, Korea. ; Biomedical Research Institute, Seoul National University Hospital, Seoul 03080, Korea. ; Department of Radiology, Sheikh Khalifa Specialty Hospital, Ras Al Khaimah, United Arab Emirates
| | - Hyo-Cheol Kim
- Department of Radiology, Seoul National University Hospital, Seoul 03080, Korea. ; Department of Radiology, Seoul National University College of Medicine, Seoul 03080, Korea. ; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 03080, Korea
| | - Hwan Jun Jae
- Department of Radiology, Seoul National University Hospital, Seoul 03080, Korea. ; Department of Radiology, Seoul National University College of Medicine, Seoul 03080, Korea. ; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 03080, Korea
| | - Saebeom Hur
- Department of Radiology, Seoul National University Hospital, Seoul 03080, Korea. ; Department of Radiology, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Jin Wook Chung
- Department of Radiology, Seoul National University Hospital, Seoul 03080, Korea. ; Department of Radiology, Seoul National University College of Medicine, Seoul 03080, Korea. ; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 03080, Korea
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15
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Jacob R, Turley F, Redden DT, Saddekni S, Aal AKA, Keene K, Yang E, Zarzour J, Bolus D, Smith JK, Gray S, White J, Eckhoff DE, DuBay DA. Adjuvant stereotactic body radiotherapy following transarterial chemoembolization in patients with non-resectable hepatocellular carcinoma tumours of ≥ 3 cm. HPB (Oxford) 2015; 17:140-9. [PMID: 25186290 PMCID: PMC4299388 DOI: 10.1111/hpb.12331] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Accepted: 07/23/2014] [Indexed: 12/12/2022]
Abstract
OBJECTIVES The optimal locoregional treatment for non-resectable hepatocellular carcinoma (HCC) of ≥ 3 cm in diameter is unclear. Transarterial chemoembolization (TACE) is the initial intervention most commonly performed, but it rarely eradicates HCC. The purpose of this study was to measure survival in HCC patients treated with adjuvant stereotactic body radiotherapy (SBRT) following TACE. METHODS A retrospective study of patients with HCC of ≥ 3 cm was conducted. Outcomes in patients treated with TACE alone (n = 124) were compared with outcomes in those treated with TACE + SBRT (n = 37). RESULTS There were no significant baseline differences between the two groups. The pre-TACE mean number of tumours (P = 0.57), largest tumour size (P = 0.09) and total tumour diameter (P = 0.21) did not differ significantly between the groups. Necrosis of the HCC tumour, measured after the first TACE, did not differ between the groups (P = 0.69). Local recurrence was significantly decreased in the TACE + SBRT group (10.8%) in comparison with the TACE-only group (25.8%) (P = 0.04). After censoring for liver transplantation, overall survival was found to be significantly increased in the TACE + SBRT group compared with the TACE-only group (33 months and 20 months, respectively; P = 0.02). CONCLUSIONS This retrospective study suggests that in patients with HCC tumours of ≥ 3 cm, treatment with TACE + SBRT provides a survival advantage over treatment with only TACE. Confirmation of this observation requires that the concept be tested in a prospective, randomized clinical trial.
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Affiliation(s)
- Rojymon Jacob
- Department of Radiation Oncology, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Falynn Turley
- Biostatistics Division, School of Public Health, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - David T Redden
- Biostatistics Division, School of Public Health, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Souheil Saddekni
- Interventional Oncology, Department of Radiology, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Ahmed K A Aal
- Interventional Oncology, Department of Radiology, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Kimberly Keene
- Department of Radiation Oncology, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Eddy Yang
- Department of Radiation Oncology, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Jessica Zarzour
- Diagnostic Body Radiology, Department of Radiology, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - David Bolus
- Diagnostic Body Radiology, Department of Radiology, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - J Kevin Smith
- Diagnostic Body Radiology, Department of Radiology, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Stephen Gray
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Jared White
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Devin E Eckhoff
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, Alabama, USA
| | - Derek A DuBay
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, Alabama, USA,Correspondence, Derek A. DuBay, MD, Liver Transplant and Hepatobiliary Surgery, University of Alabama at Birmingham, 701 ZRB, 1530 3rd Avenue South, Birmingham, AL 35294-0007, USA. Tel: + 1 205 996 5970. Fax: + 1 205 996 9037. E-mail:
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16
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White JA, Redden DT, Bryant MK, Dorn D, Saddekni S, Aal AKA, Zarzour J, Bolus D, Smith JK, Gray S, Eckhoff DE, DuBay DA. Predictors of repeat transarterial chemoembolization in the treatment of hepatocellular carcinoma. HPB (Oxford) 2014; 16:1095-101. [PMID: 25158123 PMCID: PMC4253333 DOI: 10.1111/hpb.12313] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Accepted: 06/05/2014] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Repeat transarterial chemoembolization (TACE) is a common intervention performed for hepatocellular carcinoma (HCC). The aim of this study was to identify predictors of the need for repeat TACE. METHODS Between 2008 and 2012, data on patient and tumour variables were collected for 262 patients treated with a first TACE procedure for HCC. The decision to perform repeat TACE procedures was made at the completion of the first TACE or after follow-up imaging demonstrated the subtotal treatment of HCC tumours. RESULTS Repeat TACE was performed in 67 of 262 (25.6%) patients. Necrosis of HCC, measured after the first TACE, was lower in patients who subsequently received repeat TACE (P = 0.042). On multivariable analysis, total tumour diameter of >5 cm [odds ratio (OR) 2.76, 95% confidence interval (CI) 1.45-5.25; P = 0.002] and increasing age (OR 1.04/year, 95% CI 1.00-1.07; P = 0.030) were predictive of the need for repeat TACE. Measures of liver function and TACE approach (selective versus non-selective) were not predictive of repeat TACE. Median survival did not differ significantly between patients who did (median survival: 21.1 months) and did not (median survival: 26.1 months) receive a repeat TACE procedure (P = 0.574). CONCLUSIONS The requirement for repeat TACE is associated with older age, increased HCC tumour burden and subtotal TACE-induced HCC necrosis. Importantly, repeat TACE was not associated with reduced survival.
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Affiliation(s)
- Jared A White
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA
| | - David T Redden
- Biostatistics Department, School of Public Health, University of Alabama at BirminghamBirmingham, AL, USA
| | - Mary Kate Bryant
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA
| | - David Dorn
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA
| | - Souheil Saddekni
- Interventional Oncology, Department of Radiology, University of Alabama at BirminghamBirmingham, AL, USA
| | - Ahmed Kamel Abdel Aal
- Interventional Oncology, Department of Radiology, University of Alabama at BirminghamBirmingham, AL, USA
| | - Jessica Zarzour
- Diagnostic Body Radiology, Department of Radiology, University of Alabama at BirminghamBirmingham, AL, USA
| | - David Bolus
- Diagnostic Body Radiology, Department of Radiology, University of Alabama at BirminghamBirmingham, AL, USA
| | - J Kevin Smith
- Diagnostic Body Radiology, Department of Radiology, University of Alabama at BirminghamBirmingham, AL, USA
| | - Stephen Gray
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA
| | - Devin E Eckhoff
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA
| | - Derek A DuBay
- Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA,Correspondence Derek A. DuBay, Department of Liver Transplant and Hepatobiliary Surgery, University of Alabama at Birmingham, 701 ZRB, 1530 Third Avenue South, Birmingham, AL 35294-0007, USA. Tel: + 1 205 996 5970. Fax: + 1 205 996 9037. E-mail:
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17
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Choi JY, Kim H, Sun M, Sirlin CB. Histogram analysis of hepatobiliary phase MR imaging as a quantitative value for liver cirrhosis: preliminary observations. Yonsei Med J 2014; 55:651-9. [PMID: 24719131 PMCID: PMC3990078 DOI: 10.3349/ymj.2014.55.3.651] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2013] [Revised: 08/21/2013] [Accepted: 09/01/2013] [Indexed: 12/14/2022] Open
Abstract
PURPOSE To investigate whether histogram analysis of the hepatobiliary phase on gadoxetate enhanced-MRI could be used as a quantitative index for determination of liver cirrhosis. MATERIALS AND METHODS A total of 63 patients [26 in a normal liver function (NLF) group and 37 in a cirrhotic group] underwent gadoxetate-enhanced MRI, and hepatobiliary phase images were obtained at 20 minutes after contrast injection. The signal intensity of the hepatic parenchyma was measured at four different regions of interest (ROI) of the liver, avoiding vessels and bile ducts. Standard deviation (SD), coefficient of variation (CV), and corrected CV were calculated on the histograms at the ROIs. The distributions of CVs calculated from the ROI histogram were examined and statistical analysis was carried out. RESULTS The CV value was 0.041±0.009 (mean CV±SD) in the NLF group, while that of cirrhotic group was 0.071±0.020. There were statistically significant differences in the CVs and corrected CV values between the NLF and cirrhotic groups (p<0.001). The most accurate cut-off value among CVs for distinguishing normal from cirrhotic group was 0.052 (sensitivity 83.8% and specificity 88.5%). There was no statistically significant differences in SD between NLF and cirrhotic groups (p=0.307). CONCLUSION The CV of histograms of the hepatobiliary phase on gadoxetate-enhanced MRI may be useful as a quantitative value for determining the presence of liver cirrhosis.
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Affiliation(s)
- Jin-Young Choi
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Honsoul Kim
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Mark Sun
- Department of Radiology, University of California, San Diego Medical Center, San Diego, CA, USA
| | - Claude B. Sirlin
- Department of Radiology, University of California, San Diego Medical Center, San Diego, CA, USA
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Abstract
OBJECTIVE Noninvasive imaging plays critical roles in the treatment of patients with cirrhosis or other risk factors for the development of hepatocellular carcinoma. In recognition of the critical roles played by imaging, numerous international scientific organizations and societies have, in the past 12 years, proposed diagnostic systems for the interpretation of liver imaging examinations performed of at-risk patients. CONCLUSION Although these imaging-based diagnostic systems represent important advances, they have limitations and they are not perfectly consistent with each other. The limitations and inconsistencies potentially cause confusion and may impair the integration of the systems into clinical practice as well as their utilization in research studies. The purpose of this article is to synthesize and critically appraise the current published imaging-based diagnostic systems endorsed by major societies for the noninvasive diagnosis and staging of hepatocellular carcinoma and to propose future directions that we hope may be helpful in further advancing the field.
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The thalamus in cirrhotic patients with and without hepatic encephalopathy: a volumetric MRI study. Eur J Radiol 2013; 82:e715-20. [PMID: 23981388 DOI: 10.1016/j.ejrad.2013.07.029] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Revised: 07/19/2013] [Accepted: 07/30/2013] [Indexed: 12/16/2022]
Abstract
BACKGROUND & AIMS The thalamus is a major relay and filter station in the central neural system. Some previous studies have suggested that the thalamus maybe implicated in the pathogenesis of hepatic encephalopathy. The aim of our study was to investigate changing thalamic volumes in cirrhotic patients with and without hepatic encephalopathy. METHODS Neuropsychological tests and structural MR scanning were performed on 24 cirrhotic patients, 23 cirrhotic patients with minimal hepatic encephalopathy, 24 cirrhotic patients during their first episode of overt hepatic encephalopathy, and 33 healthy controls. Voxel-based morphometry analysis was performed to detect gray matter morphological changes. The thalamus and whole brain volume were extrapolated. A receiver operating characteristic curve analysis of thalamic volumes was used to discriminate patients with minimal hepatic encephalopathy from those with hepatic cirrhosis. RESULTS Thalamic volume increased in a stepwise manner in patients with progressively worse stages of hepatic encephalopathy compared to healthy subjects. Additionally, a comparison of gray matter morphometry between patients with Child-Pugh grades A, B, or C and controls revealed a progression in thalamic volumes in parallel with the degree of liver failure. Moreover, thalamic volume was significantly correlated with the number connection test A time and digit-symbol test score in cirrhotic patients with minimal hepatic encephalopathy (r=0.659, P=0.001; r=-0.577, P=0.004; respectively). The area under the receiver operating characteristic curve was 0.827 (P=0.001). CONCLUSIONS A significantly increased thalamic volume may be provide an objective imaging measure for predicting seizures due to minimal hepatic encephalopathy in cirrhotic patients.
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Tang A, Cruite I, Sirlin CB. Toward a standardized system for hepatocellular carcinoma diagnosis using computed tomography and MRI. Expert Rev Gastroenterol Hepatol 2013; 7:269-79. [PMID: 23445236 DOI: 10.1586/egh.13.3] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Contrast-enhanced computed tomography and MRI are frequently used for the noninvasive diagnosis of hepatocellular carcinoma (HCC). Despite their important role in diagnosis and management of HCC, until recently, there has been no standardized system for their interpretation, reporting and data collection. In 2008, the American College of Radiology convened a committee to develop such a standardized system. This article reviews the role of computed tomography and MRI in the diagnosis and management of HCC; the need for a standardized imaging interpretation system; current HCC imaging criteria included in management guidelines endorsed by the European Association for the Study of Liver, American Association for Study of Liver Diseases, United Network for Organ Sharing and Asian Pacific Association for the Study of the Liver; and the limitations of these criteria. The article then provides an overview of the Liver Imaging Reporting and Data System and discusses future directions.
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Affiliation(s)
- An Tang
- Liver Imaging Group, Department of Radiology, University of California San Diego, 408 Dickinson Street, San Diego, CA 92103-8226, USA
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An in vitro and in vivo analysis of the correlation between susceptibility-weighted imaging phase values and R2* in cirrhotic livers. PLoS One 2012; 7:e45477. [PMID: 23029037 PMCID: PMC3445544 DOI: 10.1371/journal.pone.0045477] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2012] [Accepted: 08/21/2012] [Indexed: 01/28/2023] Open
Abstract
Objective To establish a baseline of susceptibility-weighted imaging (SWI) phase value as a means of detecting iron abnormalities in cirrhotic liver and to analyze its relationship with R2*. Materials and Methods Sixteen MnCl2 phantoms, thirty-seven healthy individuals and 87 cirrhotic patients were performed SWI and multi-echo T2*-weighted imaging, and the signal processing in NMR (SPIN) software was used to measure the radian on SWI phase images and the R2* on T2* maps. The mean minus two times standard deviation (SD) of Siemens Phase Unit (SPU) in healthy individuals was designated as a threshold to separate the regions of interest (ROIs) into high- and low-iron areas in healthy participants and cirrhotic patients. The SWI phase values of high-iron areas were calculated. The R2* values was measured in the same ROI in both healthy participants and patients. Results SWI phase values correlated linearly with R2* values in cases of MnCl2 concentrations lower than 2.3 mM in vitro (r = −0.996, P<0.001). The mean value and SD of 37 healthy participants were 2003 and 15 (SPU), respectively. A threshold of 1973 SPU (−0.115 radians) was determined. The SWI phase value and R2* values had a negative correlation in the cirrhotic patients (r = −0.742, P<0.001). However, no similar relationship was found in the healthy individuals (r = 0.096, P = 0.576). Both SWI phase values and R2* values were found to have significant correlations with serum ferritin concentrations in 42 patients with blood samples (r = −0.512, P = 0.001 and r = 0.641, P<0.001, respectively). Conclusion SWI phase values had significant correlations with R2* after the establishment of a baseline on the phase image. SWI phase images may be used for non-invasive quantitative measurement of mild and moderate iron deposition in hepatic cirrhosis in vivo.
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Affiliation(s)
- Luigi Grazioli
- 1^ Radiologia, Dipartimento di Diagnostica per immagini, Spedali Civili Brescia, Piazzale Spedali Civili 1, 25100 Brescia, Italy.
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Kovač JD, Daković M, Stanisavljević D, Alempijević T, Ješić R, Seferović P, Maksimović R. Diffusion-weighted MRI versus transient elastography in quantification of liver fibrosis in patients with chronic cholestatic liver diseases. Eur J Radiol 2011; 81:2500-6. [PMID: 22100369 DOI: 10.1016/j.ejrad.2011.10.024] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2011] [Accepted: 10/28/2011] [Indexed: 02/09/2023]
Abstract
PURPOSE To evaluate the diagnostic value of diffusion-weighted magnetic resonance imaging (DWMRI) and transient elastography (TE) in quantification of liver fibrosis in patients with chronic cholestatic liver diseases. MATERIALS AND METHODS Forty-five patients underwent DWMRI, TE, and liver biopsy for staging of liver fibrosis. Apparent diffusion coefficient (ADC) was calculated for six locations in the liver for combination of five diffusion sensitivity values b=0, 50, 200, 400 and 800 s/mm(2). A receiver operating characteristic (ROC) analysis was performed to determine the diagnostic performance of DWMRI and TE. Segmental ADC variations were evaluated by means of coefficient of variation. RESULTS The mean ADCs (× 10(-3)mm(2)/s; b=0-800 s/mm(2)) were significantly different at stage F1 versus F ≥ 2 (p<0.05) and F2 versus F4. However, no significant difference was found between F2 and F3. For prediction of F ≥ 2 and F ≥ 3 areas under the ROC curves were 0.868 and 0.906 for DWMRI, and 0.966 and 0.960 for TE, respectively. The sensitivity and specificity were 90.9% and 89.3% for F ≥ 2 (ADC ≤ 1.65), and 92.3% and 92.1% for F ≥ 3 (ADC ≤ 1.63). Segmental ADC variation was lowest for F4 (CV=9.54 ± 6.3%). CONCLUSION DWMRI and TE could be used for assessment of liver fibrosis with TE having higher diagnostic accuracy and DWMRI providing insight into liver fibrosis distribution.
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Affiliation(s)
- Jelena Djokić Kovač
- Center for Radiology and Magnetic Resonance Imaging, Clinical Center of Serbia, Pasterova 2, 11000 Belgrade, Serbia.
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Kovač JD, Ješić R, Stanisavljević D, Kovač B, Banko B, Seferović P, Maksimović R. Integrative role of MRI in the evaluation of primary biliary cirrhosis. Eur Radiol 2011; 22:688-94. [DOI: 10.1007/s00330-011-2296-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2011] [Revised: 08/16/2011] [Accepted: 09/10/2011] [Indexed: 10/17/2022]
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Tonan T, Fujimoto K, Qayyum A. Chronic hepatitis and cirrhosis on MR imaging. Magn Reson Imaging Clin N Am 2011; 18:383-402, ix. [PMID: 21094446 DOI: 10.1016/j.mric.2010.08.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This article focuses on the current role of magnetic resonance imaging in the detection and characterization of chronic hepatitis and cirrhosis. In particular, the characteristic MR imaging features of morphologic changes and focal manifestations of chronic liver disease are highlighted.
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Affiliation(s)
- Tatsuyuki Tonan
- Department of Radiology, Kurume University School of Medicine, 67 Asahi-machi, Kurume 830-0011, Japan
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Evaluation of liver fibrosis with T2 relaxation time in infants with cholestasis: comparison with normal controls. Pediatr Radiol 2011; 41:350-4. [PMID: 20959973 DOI: 10.1007/s00247-010-1874-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2010] [Revised: 09/03/2010] [Accepted: 09/13/2010] [Indexed: 01/03/2023]
Abstract
BACKGROUND The degree of hepatic fibrosis in biliary atresia (BA) correlates with the prognosis of the disease and thus, early diagnosis of liver fibrosis is clinically important. Liver biopsy is the gold standard for the evaluation of liver fibrosis, but it is an invasive procedure requiring sedation in children. Therefore, it is desirable to identify a noninvasive method for diagnosis and follow-up of hepatic fibrosis. OBJECTIVE The purpose of this study is to evaluate the possibility of quantifying liver fibrosis in infants by T2 relaxation time measurements. MATERIALS AND METHODS The institutional review board approved this prospective study and parental informed consent was obtained. During MR cholangiopancreatography using a 1.5-T MR scanner in infants with neonatal cholestasis, T2 relaxation time of the liver was calculated with the mean signal intensities measured on images obtained using spin-echo sequences (TR/TE, 2,000/20, 40, 60, 80, 100, 120, 140, 160 ms). A normal control study was performed during spinal MRI in infants with anorectal malformation and normal liver enzyme profiles. A liver biopsy was obtained in the children with cholestasis. The correlation between histopathological fibrosis stage and T2 relaxation time was evaluated by Kendall's Tau-b test. RESULTS Twenty-five infants (male: female, 12:13; age range 0-11 months, mean 3.2 months), 14 with neonatal cholestasis (9 BA and 5 non-BA) and 11 normal controls were included in this study. Relaxation times (mean ± standard deviation [SD]) for the liver were 57.8 ms ± 8.8 in the normal control group (n=11) and 56.8 ms ± 9.6 in the BA group (n=9) without statistically significant differences (P=0.811). T2 relaxation times were not significantly different between the low stage (≤ F1) and high stage (≥ F2) fibrosis (mean 57.8 vs 56.8; P=0.934). CONCLUSION T2 relaxation of a normal infant liver at 1.5-T had a mean value of 57.8 ms, which is comparable with adult data (46-57 ms). However, T2 relaxation time was not different in patients with BA and did not correlate with stage of fibrosis.
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Maniam S, Szklaruk J. Magnetic resonance imaging: Review of imaging techniques and overview of liver imaging. World J Radiol 2010; 2:309-22. [PMID: 21160685 PMCID: PMC2999331 DOI: 10.4329/wjr.v2.i8.309] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2010] [Revised: 06/24/2010] [Accepted: 07/15/2010] [Indexed: 02/06/2023] Open
Abstract
Magnetic resonance imaging (MRI) of the liver is slowly transitioning from a problem solving imaging modality to a first line imaging modality for many diseases of the liver. The well established advantages of MRI over other cross sectional imaging modalities may be the basis for this transition. Technological advancements in MRI that focus on producing high quality images and fast imaging, increasing diagnostic accuracy and developing newer function-specific contrast agents are essential in ensuring that MRI succeeds as a first line imaging modality. Newer imaging techniques, such as parallel imaging, are widely utilized to shorten scanning time. Diffusion weighted echo planar imaging, an adaptation from neuroimaging, is fast becoming a routine part of the MRI liver protocol to improve lesion detection and characterization of focal liver lesions. Contrast enhanced dynamic T1 weighted imaging is crucial in complete evaluation of diseases and the merit of this dynamic imaging relies heavily on the appropriate timing of the contrast injection. Newer techniques that include fluoro-triggered contrast enhanced MRI, an adaptation from 3D MRA imaging, are utilized to achieve good bolus timing that will allow for optimum scanning. For accurate interpretation of liver diseases, good understanding of the newer imaging techniques and familiarity with typical imaging features of liver diseases are essential. In this review, MR sequences for a time efficient liver MRI protocol utilizing newer imaging techniques are discussed and an overview of imaging features of selected common focal and diffuse liver diseases are presented.
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Faria SC, Ganesan K, Mwangi I, Shiehmorteza M, Viamonte B, Mazhar S, Peterson M, Kono Y, Santillan C, Casola G, Sirlin CB. MR imaging of liver fibrosis: current state of the art. Radiographics 2010. [PMID: 19959511 DOI: 10.1148/rg.296095512.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Chronic liver disease is a major public health problem worldwide. Liver fibrosis, a common feature of almost all causes of chronic liver disease, involves the accumulation of collagen, proteoglycans, and other macromolecules within the extracellular matrix. Fibrosis tends to progress, leading to hepatic dysfunction, portal hypertension, and ultimately cirrhosis. Liver biopsy, the standard of reference for diagnosing liver fibrosis, is invasive, costly, and subject to complications and sampling variability. These limitations make it unsuitable for diagnosis and longitudinal monitoring in the general population. Thus, development of a noninvasive, accurate, and reproducible test for diagnosis and monitoring of liver fibrosis would be of great value. Conventional cross-sectional imaging techniques have limited capability to demonstrate liver fibrosis. In clinical practice, imaging studies are usually reserved for evaluation of the presence of portal hypertension or hepatocellular carcinoma in cases that have progressed to cirrhosis. In response to the rising prevalence of chronic liver diseases in Western nations, a number of imaging-based methods including ultrasonography-based transient elastography, computed tomography-based texture analysis, and diverse magnetic resonance (MR) imaging-based techniques have been proposed for noninvasive diagnosis and grading of hepatic fibrosis across its entire spectrum of severity. State-of-the-art MR imaging-based techniques in current practice and in development for noninvasive assessment of liver fibrosis include conventional contrast material-enhanced MR imaging, double contrast-enhanced MR imaging, MR elastography, diffusion-weighted imaging, and MR perfusion imaging.
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Affiliation(s)
- Silvana C Faria
- Department of Radiology, University of California, San Diego Medical Center, University of California at San Diego, MR 3.0T Laboratory, 408 Dickinson St, San Diego, CA 92103, USA
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29
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Faria SC, Ganesan K, Mwangi I, Shiehmorteza M, Viamonte B, Mazhar S, Peterson M, Kono Y, Santillan C, Casola G, Sirlin CB. MR imaging of liver fibrosis: current state of the art. Radiographics 2010; 29:1615-35. [PMID: 19959511 DOI: 10.1148/rg.296095512] [Citation(s) in RCA: 181] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Chronic liver disease is a major public health problem worldwide. Liver fibrosis, a common feature of almost all causes of chronic liver disease, involves the accumulation of collagen, proteoglycans, and other macromolecules within the extracellular matrix. Fibrosis tends to progress, leading to hepatic dysfunction, portal hypertension, and ultimately cirrhosis. Liver biopsy, the standard of reference for diagnosing liver fibrosis, is invasive, costly, and subject to complications and sampling variability. These limitations make it unsuitable for diagnosis and longitudinal monitoring in the general population. Thus, development of a noninvasive, accurate, and reproducible test for diagnosis and monitoring of liver fibrosis would be of great value. Conventional cross-sectional imaging techniques have limited capability to demonstrate liver fibrosis. In clinical practice, imaging studies are usually reserved for evaluation of the presence of portal hypertension or hepatocellular carcinoma in cases that have progressed to cirrhosis. In response to the rising prevalence of chronic liver diseases in Western nations, a number of imaging-based methods including ultrasonography-based transient elastography, computed tomography-based texture analysis, and diverse magnetic resonance (MR) imaging-based techniques have been proposed for noninvasive diagnosis and grading of hepatic fibrosis across its entire spectrum of severity. State-of-the-art MR imaging-based techniques in current practice and in development for noninvasive assessment of liver fibrosis include conventional contrast material-enhanced MR imaging, double contrast-enhanced MR imaging, MR elastography, diffusion-weighted imaging, and MR perfusion imaging.
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Affiliation(s)
- Silvana C Faria
- Department of Radiology, University of California, San Diego Medical Center, University of California at San Diego, MR 3.0T Laboratory, 408 Dickinson St, San Diego, CA 92103, USA
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Lindbäck SM, Gabbert C, Johnson BL, Smorodinsky E, Sirlin CB, Garcia N, Pardee PE, Kistler KD, Schwimmer JB. Pediatric nonalcoholic fatty liver disease: a comprehensive review. Adv Pediatr 2010; 57:85-140. [PMID: 21056736 DOI: 10.1016/j.yapd.2010.08.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Sarah M Lindbäck
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, 200 West Arbor Drive, San Diego, CA 92103-8450, USA
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Toiviainen-Salo S, Durie PR, Numminen K, Heikkilä P, Marttinen E, Savilahti E, Mäkitie O. The natural history of Shwachman-Diamond syndrome-associated liver disease from childhood to adulthood. J Pediatr 2009; 155:807-811.e2. [PMID: 19683257 DOI: 10.1016/j.jpeds.2009.06.047] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2009] [Revised: 05/19/2009] [Accepted: 06/22/2009] [Indexed: 12/12/2022]
Abstract
OBJECTIVES In order to characterize the natural course of Shwachman-Diamond syndrome (SDS)-associated hepatopathy we evaluated liver biochemistry and imaging findings, and their evolution with age, in patients with SDS and verified SBDS mutations. STUDY DESIGN Retrospective and cross-sectional liver imaging, biochemical and histologic data of 12 patients (age range 2.1 to 37 years) with SBDS mutations were analyzed. Hepatic volume and parenchymal structure were determined from magnetic resonance imaging data. RESULTS Hepatomegaly and aminotransaminase elevation was observed in most of the patients with SDS at an early age; values normalized by age 5 years and remained normal over extended follow-up. Mild to moderate serum bile acid elevation was noted in 7 patients (58%). On magnetic resonance imaging, no patients (n = 11) had evidence of hepatic steatosis, cirrhosis, or fibrosis. Three middle-aged patients had hepatic microcysts. CONCLUSIONS SDS-associated hepatopathy has overall good prognosis. No major hepatic abnormalities developed during extended follow-up to adulthood. Mild cholestasis in follow-up even after normalization of transaminase levels may reflect primary alterations in liver metabolism in SDS.
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Affiliation(s)
- Sanna Toiviainen-Salo
- Helsinki Medical Imaging Center, Helsinki University Central Hospital, Helsinki, Finland.
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Baxter S, Wang ZJ, Joe BN, Qayyum A, Taouli B, Yeh BM. Timing bolus dynamic contrast-enhanced (DCE) MRI assessment of hepatic perfusion: Initial experience. J Magn Reson Imaging 2009; 29:1317-22. [PMID: 19472388 DOI: 10.1002/jmri.21795] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
PURPOSE To assess whether dynamic contrast-enhanced (DCE) MRI timing bolus data from routine clinical examinations can be postprocessed to obtain hepatic perfusion parameters for diagnosing cirrhosis. MATERIALS AND METHODS We retrospectively identified 57 patients (22 with cirrhosis and 35 without cirrhosis) who underwent abdominal MRI, which included a low-dose (2 mL gadodiamide) timing bolus using a volumetric spoiled gradient echo T1-weighted sequence through the abdomen. Using a dual-input single-compartment model, the following perfusion parameters were measured: arterial, portal, and total blood flow; arterial fraction; mean transit time; and distribution volume. Those parameters were compared between patients with and without cirrhosis using t-tests. Receiver operating characteristic (ROC) curve analysis was used to identify the perfusion parameters that can best predict the presence of cirrhosis. RESULTS The hepatic arterial fraction, arterial flow, and distribution volume in patients with cirrhosis (27.7 +/- 8.3%, 44.8 +/- 14.1 mL/minute/100 g, and 16.3 +/- 4.5%, respectively) were significantly higher than those without cirrhosis (18.7 +/- 4.4%, 28.5 +/- 11.7 mL/minute/100 g, and 14.0 +/- 4.2%, respectively; P < 0.05 for all). ROC analysis showed arterial fraction as the best predictor of cirrhosis, with sensitivity of 73% and specificity of 86%. CONCLUSION Timing bolus DCE MR images from routine examinations can be postprocessed to yield potentially useful hepatic perfusion parameters.
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Affiliation(s)
- Simon Baxter
- Department of Radiology, University of California, San Francisco, San Francisco, California, USA
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Taouli B, Chouli M, Martin AJ, Qayyum A, Coakley FV, Vilgrain V. Chronic hepatitis: role of diffusion-weighted imaging and diffusion tensor imaging for the diagnosis of liver fibrosis and inflammation. J Magn Reson Imaging 2008; 28:89-95. [PMID: 18581382 DOI: 10.1002/jmri.21227] [Citation(s) in RCA: 166] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To determine the diagnostic performance of liver apparent diffusion coefficient (ADC) measured with conventional diffusion-weighted imaging (CDI) and diffusion tensor imaging (DTI) for the diagnosis of liver fibrosis and inflammation. MATERIALS AND METHODS Breathhold single-shot echo-planar imaging CDI and DTI with b-values of 0 and 500 second/mm(2) was performed in 31 patients with chronic liver disease and 13 normal volunteers. Liver biopsy was performed in all patients with liver disease with a median delay of two days from MRI. Fibrosis and inflammation were scored on a 5-point scale (0-4). Liver ADCs obtained with CDI and DTI were compared between patients stratified by fibrosis stage and inflammation grade. Receiver operating characteristic (ROC) curve analyses were conducted to evaluate the utility of the ADC measures for prediction of fibrosis and inflammation. RESULTS Patients with liver fibrosis and inflammation had significantly lower liver ADC than subjects without fibrosis or inflammation with CDI and DTI. For prediction of fibrosis stage > or = 1 and stage > or = 2, area under the ROC curve (AUC) of 0.848 and 0.783, sensitivity of 88.5% to 73.7%, and specificity of 73.3% to 72.7% were obtained, for ADC < or =1.40 x 10(-3) mm(2)/second and < or =1.30 x 10(-3) mm(2)/second (using CDI), respectively. For prediction of inflammation grade > or = 1, AUC of 0.825, sensitivity of 75.0%, and specificity of 78.6% were obtained using ADC < or = 1.30 x 10(-3) mm(2)/second (using CDI). CDI performed better than DTI for diagnosis of fibrosis and inflammation. CONCLUSION Liver ADC can be used to predict liver fibrosis and inflammation with acceptable sensitivity and specificity.
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Affiliation(s)
- Bachir Taouli
- Department of Radiology, MRI, New York University Medical Center, 530 First Avenue, New York, NY 10016, USA.
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Zapparoli M, Semelka RC, Altun E, Tsurusaki M, Pamuklar E, Dale BM, Gasparetto EL, Elias J. 3.0-T MRI evaluation of patients with chronic liver diseases: initial observations. Magn Reson Imaging 2008; 26:650-60. [PMID: 18440749 DOI: 10.1016/j.mri.2008.01.037] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2007] [Revised: 01/11/2008] [Accepted: 01/28/2008] [Indexed: 12/28/2022]
Abstract
PURPOSE To describe the use of 3.0-T magnetic resonance imaging (MRI) for the evaluation of chronic liver diseases. MATERIALS AND METHODS Two groups of patients who had chronic liver diseases and underwent 3.0-T MRI for evaluation of the liver were included in the study. The first group of patients included 66 consecutive patients (33 male, 33 female; mean age+/-standard deviation, 56+/-11). The second group of patients included 30 consecutive patients (18 males, 12 females; mean age+/-standard deviation, 53+/-10) in whom Variable-Rate Selective Excitation (VERSE) pulses and improved adjustments procedure were used during the acquisitions. Imaging findings of chronic liver diseases, predetermined artifacts and image quality of all individual sequences in the first group and predetermined artifacts and image quality of T2-weighted sequences in the second group were reviewed retrospectively and independently by two reviewers. chi-Square tests were used to compare the findings between two groups of patients and individual sequences. Kappa statistics were used to determine the extent of agreement between the reviewers. RESULTS Fifteen dysplastic nodules in 6 of 66 (9%) patients and 12 hepatocellular carcinomas in 11 of 66 (17%) patients were detected. Excluding motion artifacts, three-dimensional (3D) T1-weighted gradient-echo (GE) sequence was the least affected sequence by the artifacts. Image quality of T1-weighted 3D-GE sequences was excellent in 43 of 66 (65%) patients. In-phase and out-of-phase T1-weighted spoiled GE (SGE) images were fair in 62 of 66 (94%) and 61 of 66 (92%) patients, respectively. The image quality of short tau inversion recovery (STIR) and half-Fourier rapid acquisition with relaxation enhancement (RARE) sequences were fair in 31 of 66 (47%) and 53 of 66 (80%) patients. STIR and half-Fourier RARE sequences in the second group demonstrated significantly better image quality (P=.03 and P<.0001). CONCLUSION 3.0-T MRI allows the acquisition of very high quality postgadolinium 3D-GE sequence, which permitted the detection and characterization of lesions in the setting of chronic liver diseases. The use of VERSE pulses and improved adjustments procedure improved the image quality of T2-weighted sequences. In-phase/out-of-phase SGE sequences are at present of fair quality.
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Affiliation(s)
- Mauricio Zapparoli
- Department of Radiology, University of North Carolina at Chapel Hill, Campus Box 7510, Chapel Hill, NC 27599-7510, USA
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Hagiwara M, Rusinek H, Lee VS, Losada M, Bannan MA, Krinsky GA, Taouli B. Advanced liver fibrosis: diagnosis with 3D whole-liver perfusion MR imaging--initial experience. Radiology 2008; 246:926-34. [PMID: 18195377 DOI: 10.1148/radiol.2463070077] [Citation(s) in RCA: 182] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Institutional review board approval and informed consent were obtained for this HIPAA-compliant study. The purpose of this study was to prospectively evaluate sensitivity and specificity of various estimated perfusion parameters at three-dimensional (3D) perfusion magnetic resonance (MR) imaging of the liver in the diagnosis of advanced liver fibrosis (stage >or= 3), with histologic analysis, liver function tests, or MR imaging as the reference standard. Whole-liver 3D perfusion MR imaging was performed in 27 patients (17 men, 10 women; mean age, 55 years) after dynamic injection of 8-10 mL of gadopentetate dimeglumine. The following estimated perfusion parameters were measured with a dual-input single-compartment model: absolute arterial blood flow (F(a)), absolute portal venous blood flow (F(p)), absolute total liver blood flow (F(t)) (F(t) = F(a) + F(p)), arterial fraction (ART), portal venous fraction (PV), distribution volume (DV), and mean transit time (MTT) of gadopentetate dimeglumine. Patients were assigned to two groups (those with fibrosis stage <or= 2 and those with fibrosis stage >or= 3), and the nonparametric Mann-Whitney test was used to compare F(a), F(p), F(t), ART, PV, DV, and MTT between groups. Receiver operating characteristic curve analysis was used to assess the utility of perfusion estimates as predictors of advanced liver fibrosis. There were significant differences for all perfusion MR imaging-estimated parameters except F(p) and F(t). There was an increase in F(a), ART, DV, and MTT and a decrease in PV in patients with advanced fibrosis compared with those without advanced fibrosis. DV had the best performance, with an area under the receiver operating characteristic curve of 0.824, a sensitivity of 76.9% (95% confidence interval: 46.2%, 94.7%), and a specificity of 78.5% (95% confidence interval: 49.2%, 95.1%) in the prediction of advanced fibrosis.
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Affiliation(s)
- Mari Hagiwara
- Department of Radiology, New York University Medical Center, 560 First Ave, New York, NY 10016, USA
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Taouli B, Tolia AJ, Losada M, Babb JS, Chan ES, Bannan MA, Tobias H. Diffusion-weighted MRI for quantification of liver fibrosis: preliminary experience. AJR Am J Roentgenol 2007; 189:799-806. [PMID: 17885048 DOI: 10.2214/ajr.07.2086] [Citation(s) in RCA: 275] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate our preliminary experience using diffusion-weighted MRI for quantification of liver fibrosis. SUBJECTS AND METHODS Diffusion-weighted MRI with single-shot echo-planar technique at b values of 50, 300, 500, 700, and 1,000 s/mm2 was prospectively performed on 23 patients with chronic hepatitis and on seven healthy volunteers. The apparent diffusion coefficient (ADC) was measured in four locations in the liver. Liver biopsy results (n = 19) were retrospectively reviewed by two hepatopathologists in consensus to determine stage of fibrosis and grade of inflammation. A Mann-Whitney test was used to compare the ADCs between patients classified with respect to having stage 2 or greater versus stage 1 or less fibrosis and stage 3 or greater versus stage or less 2 fibrosis. Receiver operating characteristics analysis was used to assess the performance of ADC in prediction of the presence of stage 2 or greater and stage 3 or greater fibrosis. RESULTS Using a b value of 500 s/mm2 and all combined b values, we found significantly lower hepatic ADCs in stage 2 or greater versus stage 1 or less fibrosis and stage 3 or greater versus stage 2 or less fibrosis. The mean ADCs (x 10(-3) mm2/s) with all b values were 1.47 +/- 0.11 (SD) versus 1.65 +/- 0.10 for stage 2 or greater versus stage 1 or less fibrosis (p < 0.001) and 1.44 +/- 0.07 versus 1.66 +/- 0.10 for stage 3 or greater versus stage 2 or less fibrosis (p <0.001). Hepatic ADC was a significant predictor of stage 2 or greater and stage 3 or greater fibrosis, with areas under the curve of 0.896 and 0.896, sensitivity of 83.3% and 88.9%, and specificity of 83.3% and 80.0% (ADC with all b values, 1.54-1.53 x 10(-3) mm2/s or less). CONCLUSION Diffusion-weighted MRI can be used for prediction of the presence of moderate and advanced liver fibrosis.
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Affiliation(s)
- Bachir Taouli
- New York University Medical Center, MRI, 530 First Ave., New York, NY 10016, USA.
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Herédia V, Altun E, Ramalho M, Semelka RC. Magnetic resonance imaging of the liver: a review. EXPERT OPINION ON MEDICAL DIAGNOSTICS 2007; 1:213-223. [PMID: 23489308 DOI: 10.1517/17530059.1.2.213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
In this review article, the authors discuss the essential aspects of liver magnetic resonance imaging (MRI), including protocol, intravenous contrast use and disease entities. At present, liver MRI uses fast scanning techniques, allowing the maximization of the principles of image quality, reproducibility of image quality and good conspicuity of disease. MRI is the most accurate imaging modality for the detection and characterization of diffuse and focal liver disease. In the expert opinion section, the authors refer to the advantages and challenges of 3.0T liver imaging.
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Affiliation(s)
- Vasco Herédia
- University of North Carolina at Chapel Hill, Department of Radiology, CB# 7510, 101 Manning Drive, Chapel Hill, NC 27599-7510, USA +1 919 966 4400 ; +1 919 966 9143 ;
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Weickert U, Buttmann A, Jakobs R, Schilling D, Eickhoff A, Riemann JF. Diagnosis of liver cirrhosis: a comparison of modified ultrasound and laparoscopy in 100 consecutive patients. J Clin Gastroenterol 2005; 39:529-32. [PMID: 15942441 DOI: 10.1097/01.mcg.0000165669.17649.20] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND/GOALS Liver cirrhosis, the final stage of chronic liver disease, is characterized by an unfavorable prognosis and an increased risk of hepatocellular carcinoma and also requires an appropriate management. Laparoscopy, the gold standard in the diagnosis of cirrhosis, is hampered by its invasiveness. Therefore, a noninvasive method for diagnosing liver cirrhosis would be of great benefit. STUDY A consecutive series of 100 patients, sent to our gastroenterological unit for diagnostic laparoscopy, underwent a standardized ultrasonographic examination prior to laparoscopy. RESULTS Conventional ultrasonographic examination revealed a sensitivity of 55% and a specificity of 86% in the diagnosis of cirrhosis. Considering the assessment of the transmission of heart pulsation on the liver surface, the corresponding values improved by increasing to 85% and 93%. CONCLUSION Evaluating the transmission of heart pulsation on the liver surface improves the ability of ultrasound to diagnose liver cirrhosis; therefore, it should be an integral part of routine sonographic examination of the liver.
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Affiliation(s)
- Uwe Weickert
- Department of Internal Medicine C, Klinikum Ludwigshafen, Academic Medical Hospital of the University of Mainz, Ludwigshafen am Rhein, Germany.
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Martin DR, Seibert D, Yang M, Salman K, Frick MP. Reversible heterogeneous arterial phase liver perfusion associated with transient acute hepatitis: findings on gadolinium-enhanced MRI. J Magn Reson Imaging 2005; 20:838-42. [PMID: 15503331 DOI: 10.1002/jmri.20192] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
PURPOSE To assess a possible correlation between active acute hepatitis and the development of abnormal liver perfusion demonstrated as heterogeneous enhancement on arterial phase gadolinium-enhanced MRI. Dynamically-enhanced MRI of the liver can detect reversible perfusion abnormalities that correlate with acute hepatitis. MATERIALS AND METHODS Six patients presenting with symptoms and clinical findings in keeping with transient acute hepatitis underwent serial MRI of the liver throughout the course of the disease. Serial liver enzyme analysis was performed for all six patients, and histopathology was assessed for three patients. Imaging included gadolinium-enhanced arterial and venous-phase gradient-echo sequences. RESULTS Arterial phase gadolinium-enhanced MRI showed abnormal irregular liver perfusion in the setting of acute hepatitis, and the degree of irregularity, as well as the persistence of irregular enhancement into the venous phase, correlated with the clinical severity of the disease. CONCLUSION Acute hepatitis can cause irregular enhancement of the liver on arterial-phase, gadolinium-enhanced, gradient-echo MRI, a reversible finding that improves with clinical improvement of the disease.
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Affiliation(s)
- Diego R Martin
- Department of Radiology, Emory University, 1364 Clifton Road NE, Room AT620, Atlanta, GA 30322, USA.
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Affiliation(s)
- Ankur A Gupta
- Department of Radiology, New York University Medical Center, 530 First Ave., New York, NY 10016, USA
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Abstract
This pictorial review concentrates on the imaging features of hepatocellular carcinoma as revealed by ultrasonography, computed tomography, magnetic resonance imaging and angiography. Understanding of the pathomorphological characteristics of the disease is important to precise image interpretation.
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Affiliation(s)
- S C H Yu
- Department of Diagnostic Radiology and Organ Imaging, Prince of Wales Hospital, Shatin, Hong Kong, People's Republic of China.
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