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Li J, Chen M, Wang ZJ, Li SG, Jiang M, Shi L, Cao CL, Sang T, Cui XW, Dietrich CF. Interobserver agreement for contrast-enhanced ultrasound of liver imaging reporting and data system: A systematic review and meta-analysis. World J Clin Cases 2020; 8:5589-5602. [PMID: 33344549 PMCID: PMC7716336 DOI: 10.12998/wjcc.v8.i22.5589] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 08/11/2020] [Accepted: 09/29/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma is the most common primary liver malignancy. From the results of previous studies, Liver Imaging Reporting and Data System (LI-RADS) on contrast-enhanced ultrasound (CEUS) has shown satisfactory diagnostic value. However, a unified conclusion on the interobserver stability of this innovative ultrasound imaging has not been determined. The present meta-analysis examined the interobserver agreement of CEUS LI-RADS to provide some reference for subsequent related research. AIM To evaluate the interobserver agreement of LI-RADS on CEUS and analyze the sources of heterogeneity between studies. METHODS Relevant papers on the subject of interobserver agreement on CEUS LI-RADS published before March 1, 2020 in China and other countries were analyzed. The studies were filtered, and the diagnostic criteria were evaluated. The selected references were analyzed using the "meta" and "metafor" packages of R software version 3.6.2. RESULTS Eight studies were ultimately included in the present analysis. Meta-analysis results revealed that the summary Kappa value of included studies was 0.76 [95% confidence interval, 0.67-0.83], which shows substantial agreement. Higgins I 2 statistics also confirmed the substantial heterogeneity (I 2 = 91.30%, 95% confidence interval, 85.3%-94.9%, P < 0.01). Meta-regression identified the variables, including the method of patient enrollment, method of consistency testing, and patient race, which explained the substantial study heterogeneity. CONCLUSION CEUS LI-RADS demonstrated overall substantial interobserver agreement, but heterogeneous results between studies were also obvious. Further clinical investigations should consider a modified recommendation about the experimental design.
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Affiliation(s)
- Jun Li
- Department of Medical Ultrasound, The First Affiliated Hospital of Medical College, Shihezi University, Shihezi 832008, Xinjiang Uygur Autonomous Region, China
| | - Ming Chen
- Department of Medical Ultrasound, The First Affiliated Hospital of Medical College, Shihezi University, Shihezi 832008, Xinjiang Uygur Autonomous Region, China
| | - Zi-Jing Wang
- Department of Medical Ultrasound, The First Affiliated Hospital of Medical College, Shihezi University, Shihezi 832008, Xinjiang Uygur Autonomous Region, China
| | - Shu-Gang Li
- Department of Child, Adolescent Health and Maternal Health, School of Public Health, Capital Medical University, Beijing 100069, Beijing, China
| | - Meng Jiang
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
| | - Long Shi
- Department of Medical Ultrasound, The Second People's Hospital of Jiangmen, Jingmen 448000, Hubei Province, China
| | - Chun-Li Cao
- Department of Medical Ultrasound, The First Affiliated Hospital of Medical College, Shihezi University, Shihezi 832008, Xinjiang Uygur Autonomous Region, China
| | - Tian Sang
- Department of Medical Ultrasound, The First Affiliated Hospital of Medical College, Shihezi University, Shihezi 832008, Xinjiang Uygur Autonomous Region, China
| | - Xin-Wu Cui
- Department of Medical Ultrasound, Sino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
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102
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Li S, Zhou L, Chen R, Chen Y, Niu Z, Qian L, Fang Y, Xu L, Xu H, Zhang L. Diagnostic efficacy of contrast-enhanced ultrasound versus MRI Liver Imaging Reporting and Data System (LI-RADS) for categorising hepatic observations in patients at risk of hepatocellular carcinoma. Clin Radiol 2020; 76:161.e1-161.e10. [PMID: 33198943 DOI: 10.1016/j.crad.2020.10.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 10/08/2020] [Indexed: 12/12/2022]
Abstract
AIM To investigate the diagnostic efficacy of the contrast-enhanced ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) for categorising hepatic observations in patients at risk of hepatocellular carcinoma (HCC) compared with magnetic resonance imaging (MRI) LI-RADS. MATERIALS AND METHODS CEUS and MRI data were analysed retrospectively according to the LI-RADS scheme. Follow-up results and pathological findings served as the reference standard. Receiver operating characteristic (ROC) curve analysis was used to reveal the area under the curve (AUC). The sensitivity, specificity, accuracy, and positive (PPV) and negative predictive values (NPV) of LR-5 for determining HCC were calculated. The intra-observer agreement of CEUS LI-RADS was also evaluated. RESULTS Eighty-four patients with 86 liver observations were enrolled. Forty-two observations were classified as LR-5 by CEUS and MRI, respectively. Based on the reference standard, 53 nodules were HCC. The AUCs were 0.876 for CEUS and 0.873 for MRI, without a significant difference (Z=0.050, p=0.960). The sensitivity, specificity, PPV, NPV, and accuracy of LR-5 was 75.47%, 93.94%, 95.24%, 70.45%, 82.56% with CEUS and 73.58%, 90.9%, 92.86%, 68.18%, 80.23% with MRI, respectively. There was a significant difference in specificity between CEUS and MRI (p=0.006). There was almost perfect agreement for arterial phase hyperenhancement (k=0.870), substantial agreement for washout (k=0.765) and CEUS LI-RADS category (k=0.787). CONCLUSION The CEUS LI-RADS scheme is an effective diagnostic tool for HCC with substantial intra-observer reliability. The diagnostic performance of CEUS LI-RADS for determining HCC was comparable to MRI LI-RADS, and the specificity of CEUS LR-5 was significantly higher.
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Affiliation(s)
- S Li
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - L Zhou
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - R Chen
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Y Chen
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Z Niu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - L Qian
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Y Fang
- Department of Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - L Xu
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - H Xu
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - L Zhang
- Department of Ultrasound, Affiliated Hangzhou First People's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
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103
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Son JH, Choi SH, Kim SY, Lee SJ, Park SH, Kim KW, Won HJ, Shin YM, Kim PN. Accuracy of contrast-enhanced ultrasound liver imaging reporting and data system: a systematic review and meta-analysis. Hepatol Int 2020; 14:1104-1113. [PMID: 33170416 DOI: 10.1007/s12072-020-10102-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 10/22/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND AIM After the introduction of the contrast-enhanced ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS), several studies have reported on its performance, but the reported data vary considerably. Therefore, we performed a systematic review and meta-analysis to determine the diagnostic performance of CEUS LI-RADS in patients at risk for hepatocellular carcinoma (HCC) and investigate the causes of study heterogeneity. METHODS Original studies published until May 30, 2020, investigating the diagnostic performance of CEUS LI-RADS were identified in the MEDLINE, EMBASE, and Cochrane library databases. Study quality was assessed using the QUADAS-2 tool. Meta-analytic summary sensitivity and specificity for the diagnosis of HCC were calculated using a bivariate random-effects model. Meta-regression analysis was performed to explore the causes of study heterogeneity. RESULTS Of the 105 articles screened, eight studies were finally analyzed (5428 hepatic observations). The summary sensitivity and specificity of CEUS LI-RADS category 5 (LR-5) for diagnosing HCC were 73% [95% confidence interval (CI) 65-79%; I2 = 93%] and 95% (95% CI 91-97%; I2 = 89%), respectively. Substantial study heterogeneity was noted in both sensitivity and specificity. Study heterogeneity was significantly associated with the proportion of cases of HCC and the type of reference standard (p ≤ 0.05). CONCLUSION CEUS LI-RADS had high pooled specificity for diagnosing HCC but suboptimal pooled sensitivity. Substantial study heterogeneity was found, which was significantly associated with the proportion of cases of HCC and the type of reference standard.
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Affiliation(s)
- Jung Hee Son
- Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-ro 875, Haeundae-gu, Busan, 48108, South Korea
| | - Sang Hyun Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea.
| | - So Yeon Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea
| | - So Jung Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea
| | - Seong Ho Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea
| | - Kyung Won Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea
| | - Hyung Jin Won
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea
| | - Yong Moon Shin
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea
| | - Pyo-Nyun Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea
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104
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Cunha GM, Fowler KJ, Abushamat F, Sirlin CB, Kono Y. Imaging Diagnosis of Hepatocellular Carcinoma: The Liver Imaging Reporting and Data System, Why and How? Clin Liver Dis 2020; 24:623-636. [PMID: 33012449 DOI: 10.1016/j.cld.2020.07.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) provides standardized lexicon, technique, interpretation, and reporting of liver imaging in patients at risk for hepatocellular carcinoma (HCC). When applied to at-risk populations, LI-RADS achieves higher than 95% positive predictive value for the noninvasive diagnosis of HCC on computed tomography (CT), MRI and contrast-enhanced ultrasound (CEUS). This article focuses on similarities and differences between the CT/MRI diagnostic algorithm (CT/MRI LI-RADS) and the CEUS diagnostic algorithm (CEUS LI-RADS) to inform health care professionals for efficient and appropriate clinical decisions through the management of patients at risk.
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Affiliation(s)
- Guilherme Moura Cunha
- Liver Imaging Group, Department of Radiology, University of California, 9500 Gilman Drive, San Diego, CA 92093, USA.
| | - Kathryn J Fowler
- Liver Imaging Group, Department of Radiology, University of California, 9500 Gilman Drive, San Diego, CA 92093, USA
| | - Farid Abushamat
- Division of Gastroenterology & Hepatology, University of California, 9500 Gilman Drive, San Diego, CA 92093, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California, 9500 Gilman Drive, San Diego, CA 92093, USA
| | - Yuko Kono
- Division of Gastroenterology & Hepatology, University of California, 9500 Gilman Drive, San Diego, CA 92093, USA.
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105
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Dietrich CF, Nolsøe CP, Barr RG, Berzigotti A, Burns PN, Cantisani V, Chammas MC, Chaubal N, Choi BI, Clevert DA, Cui X, Dong Y, D'Onofrio M, Fowlkes JB, Gilja OH, Huang P, Ignee A, Jenssen C, Kono Y, Kudo M, Lassau N, Lee WJ, Lee JY, Liang P, Lim A, Lyshchik A, Meloni MF, Correas JM, Minami Y, Moriyasu F, Nicolau C, Piscaglia F, Saftoiu A, Sidhu PS, Sporea I, Torzilli G, Xie X, Zheng R. Guidelines and Good Clinical Practice Recommendations for Contrast Enhanced Ultrasound (CEUS) in the Liver - Update 2020 - WFUMB in Cooperation with EFSUMB, AFSUMB, AIUM, and FLAUS. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2020; 41:562-585. [PMID: 32707595 DOI: 10.1055/a-1177-0530] [Citation(s) in RCA: 140] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
The present, updated document describes the fourth iteration of recommendations for the hepatic use of contrast enhanced ultrasound (CEUS), first initiated in 2004 by the European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB). The previous updated editions of the guidelines reflected changes in the available contrast agents and updated the guidelines not only for hepatic but also for non-hepatic applications.The 2012 guideline requires updating as previously the differences of the contrast agents were not precisely described and the differences in contrast phases as well as handling were not clearly indicated. In addition, more evidence has been published for all contrast agents. The update also reflects the most recent developments in contrast agents, including the United States Food and Drug Administration (FDA) approval as well as the extensive Asian experience, to produce a truly international perspective.These guidelines and recommendations provide general advice on the use of ultrasound contrast agents (UCA) and are intended to create standard protocols for the use and administration of UCA in liver applications on an international basis to improve the management of patients.
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Affiliation(s)
- Christoph F Dietrich
- Department Allgemeine Innere Medizin (DAIM), Kliniken Hirslanden Beau Site, Salem und Permanence, Bern, Switzerland
- Johann Wolfgang Goethe Universitätsklinik Frankfurt, Germany
| | - Christian Pállson Nolsøe
- Center for Surgical Ultrasound, Dep of Surgery, Zealand University Hospital, Køge. Copenhagen Academy for Medical Education and Simulation (CAMES). University of Copenhagen, Denmark
| | - Richard G Barr
- Department of Radiology, Northeastern Ohio Medical University, Rootstown, Ohio, USA and Southwoods Imaging, Youngstown, Ohio, USA
| | - Annalisa Berzigotti
- Hepatology, University Clinic for Visceral Surgery and Medicine, DBMR, Inselspital, University of Bern, Switzerland
| | - Peter N Burns
- Dept Medical Biophysics, University of Toronto, Imaging Research, Sunnybrook Research Institute, Toronto
| | - Vito Cantisani
- Uos Ecografia Internistico-chirurgica, Dipartimento di Scienze Radiologiche, Oncologiche, Anatomo-Patologiche, Policlinico Umberto I, Univ. Sapienza, Rome, Italy
| | - Maria Cristina Chammas
- Institute of Radiology, Hospital das Clínicas, School of Medicine, University of São Paulo, Brazil
| | - Nitin Chaubal
- Thane Ultrasound Centre, Jaslok Hospital and Research Centre, Mumbai, India
| | - Byung Ihn Choi
- Department of Radiology, Chung-Ang University Hospital, Seoul, Korea
| | - Dirk-André Clevert
- Interdisciplinary Ultrasound-Center, Department of Radiology, University of Munich-Grosshadern Campus, Munich, Germany
| | - Xinwu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan China
| | - Yi Dong
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mirko D'Onofrio
- Department of Radiology, G.B. Rossi University Hospital, University of Verona, Verona, Italy
| | - J Brian Fowlkes
- Basic Radiological Sciences Division, Department of Radiology, University of Michigan Health System, Ann Arbor, MI, United States
| | - Odd Helge Gilja
- National Centre for Ultrasound in Gastroenterology, Haukeland University Hospital, Bergen, and Department of Clinical Medicine, University of Bergen, Norway
| | - Pintong Huang
- Department of Ultrasound in Medicine, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Andre Ignee
- Department of Internal Medicine 2, Caritas Krankenhaus, Bad Mergentheim, Germany
| | - Christian Jenssen
- Krankenhaus Märkisch Oderland, Department of Internal Medicine, Strausberg/Wriezen, Germany
| | - Yuko Kono
- Departments of Medicine and Radiology, University of California, San Diego, USA
| | - Masatoshi Kudo
- Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Nathalie Lassau
- Imaging Department. Gustave Roussy and BIOMAPS. Université Paris-Saclay, Villejuif, France
| | - Won Jae Lee
- Department of Radiology and Center For Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. Departments of Health and Science and Technology and Medical Device Management and Research, Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Seoul, Korea
| | - Jae Young Lee
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Ping Liang
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| | - Adrian Lim
- Department of Imaging, Imperial College London and Healthcare NHS Trust, Charing Cross Hospital Campus, London United Kingdom
| | - Andrej Lyshchik
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | | | - Jean Michel Correas
- Service de Radiologie Adultes, Hôpital Necker, Université Paris Descartes, Paris, France
| | - Yasunori Minami
- Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Fuminori Moriyasu
- Center for Cancer Ablation Therapy, Sanno Hospital, International University of Health and Welfare, Tokyo, Japan
| | - Carlos Nicolau
- Radiology Department, Hospital Clinic. University of Barcelona, Barcelona, Spain
| | - Fabio Piscaglia
- Unit of Internal Medicine, Dept of Medical and Surgical Sciences, University of Bologna S. Orsola-Malpighi Hospital, Bologna, Italy
| | - Adrian Saftoiu
- Research Center of Gastroenterology and Hepatology Craiova, University of Medicine and Pharmacy Craiova, Romania
| | - Paul S Sidhu
- Department of Radiology, King's College Hospital, King's College London, London
| | - Ioan Sporea
- Department of Gastroenterology and Hepatology, University of Medicine and Pharmacy "Victor Babes", Timisoara, Romania
| | - Guido Torzilli
- Department of Surgery, Division of Hepatobiliary & General Surgery, Humanitas University & Research Hospital, Rozzano, Milano, Italy
| | - Xiaoyan Xie
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Rongqin Zheng
- Department of Ultrasound, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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106
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Shin J, Lee S, Bae H, Chung YE, Choi JY, Huh YM, Park MS. Contrast-enhanced ultrasound liver imaging reporting and data system for diagnosing hepatocellular carcinoma: A meta-analysis. Liver Int 2020; 40:2345-2352. [PMID: 32722894 DOI: 10.1111/liv.14617] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS Contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system for standardizing CEUS at high risk for hepatocellular carcinoma (HCC). We performed a meta-analysis to determine the diagnostic performance of the CEUS LR-5 for HCC and the pooled proportions of HCCs in each CEUS LI-RADS category. METHODS We searched multiple databases for studies reporting the diagnostic accuracy of the CEUS LI-RADS. Random-effects model was used to determine summary estimates of the diagnostic performance of CEUS LR-5 and the pooled proportions of HCCs in each CEUS LI-RADS category. Risk of bias and concerns regarding applicability were evaluated with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. RESULTS Eleven studies were included in the final analysis, which consisted of 5535 observations with 3983 HCCs. The pooled per-observation sensitivity and specificity of the CEUS LR-5 for diagnosing HCC were 69% (95% confidence interval [CI], 64%-73%) and 92% (95% CI, 83%-96%) respectively. The pooled proportions of HCCs were 0% (95% CI, 0-0%) for LR-1, 1% (95% CI, 0%-4%) for CEUS LR-2, 26% (95% CI, 14%-39%) for CEUS LR-3, 77% (95% CI, 68%-86%) for CEUS LR-4, 97% (95% CI, 95%-98%) for CEUS LR-5, 57% (95% CI, 44%-69%) for CEUS LR-M and 100% (95% CI, 93%-100%) for CEUS LR-5V or TIV. CONCLUSIONS The CEUS LR-5 category showed moderate sensitivity and high specificity for diagnosing HCC. The proportion of HCCs was higher in the higher CEUS LI-RADS categories.
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Affiliation(s)
| | - Sunyoung Lee
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Heejin Bae
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yong Eun Chung
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin-Young Choi
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yong-Min Huh
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.,Yonsei Biomedical Research Institute, Yonsei University Health System, Seoul, Korea
| | - Mi-Suk Park
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
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107
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Dietrich CF, Nolsøe CP, Barr RG, Berzigotti A, Burns PN, Cantisani V, Chammas MC, Chaubal N, Choi BI, Clevert DA, Cui X, Dong Y, D'Onofrio M, Fowlkes JB, Gilja OH, Huang P, Ignee A, Jenssen C, Kono Y, Kudo M, Lassau N, Lee WJ, Lee JY, Liang P, Lim A, Lyshchik A, Meloni MF, Correas JM, Minami Y, Moriyasu F, Nicolau C, Piscaglia F, Saftoiu A, Sidhu PS, Sporea I, Torzilli G, Xie X, Zheng R. Guidelines and Good Clinical Practice Recommendations for Contrast-Enhanced Ultrasound (CEUS) in the Liver-Update 2020 WFUMB in Cooperation with EFSUMB, AFSUMB, AIUM, and FLAUS. ULTRASOUND IN MEDICINE & BIOLOGY 2020; 46:2579-2604. [PMID: 32713788 DOI: 10.1016/j.ultrasmedbio.2020.04.030] [Citation(s) in RCA: 268] [Impact Index Per Article: 53.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 04/16/2020] [Accepted: 04/24/2020] [Indexed: 05/14/2023]
Abstract
The present, updated document describes the fourth iteration of recommendations for the hepatic use of contrast-enhanced ultrasound, first initiated in 2004 by the European Federation of Societies for Ultrasound in Medicine and Biology. The previous updated editions of the guidelines reflected changes in the available contrast agents and updated the guidelines not only for hepatic but also for non-hepatic applications. The 2012 guideline requires updating as, previously, the differences in the contrast agents were not precisely described and the differences in contrast phases as well as handling were not clearly indicated. In addition, more evidence has been published for all contrast agents. The update also reflects the most recent developments in contrast agents, including U.S. Food and Drug Administration approval and the extensive Asian experience, to produce a truly international perspective. These guidelines and recommendations provide general advice on the use of ultrasound contrast agents (UCAs) and are intended to create standard protocols for the use and administration of UCAs in liver applications on an international basis to improve the management of patients.
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Affiliation(s)
- Christoph F Dietrich
- Department Allgemeine Innere Medizin (DAIM), Kliniken Hirslanden Beau Site, Salem und Permanence, Bern, Switzerland; Johann Wolfgang Goethe Universitätsklinik, Frankfurt, Germany.
| | - Christian Pállson Nolsøe
- Center for Surgical Ultrasound, Dep of Surgery, Zealand University Hospital, Køge. Copenhagen Academy for Medical Education and Simulation (CAMES). University of Copenhagen, Denmark
| | - Richard G Barr
- Department of Radiology, Northeastern Ohio Medical University, Rootstown, Ohio, USA; Southwoods Imaging, Youngstown, Ohio, USA
| | - Annalisa Berzigotti
- Hepatology, University Clinic for Visceral Surgery and Medicine, DBMR, Inselspital, University of Bern, Switzerland
| | - Peter N Burns
- Department of Medical Biophysics, University of Toronto, Imaging Research, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Vito Cantisani
- Uos Ecografia Internistico-chirurgica, Dipartimento di Scienze Radiologiche, Oncologiche, Anatomo-Patologiche, Policlinico Umberto I, Univ. Sapienza, Rome, Italy
| | - Maria Cristina Chammas
- Institute of Radiology, Hospital das Clínicas, School of Medicine, University of São Paulo, Brazil
| | - Nitin Chaubal
- Thane Ultrasound Centre, Jaslok Hospital and Research Centre, Mumbai, India
| | - Byung Ihn Choi
- Department of Radiology, Chung-Ang University Hospital, Seoul, Korea
| | - Dirk-André Clevert
- Interdisciplinary Ultrasound-Center, Department of Radiology, University of Munich-Grosshadern Campus, Munich, Germany
| | - Xinwu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Dong
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mirko D'Onofrio
- Department of Radiology, G. B. Rossi University Hospital, University of Verona, Verona, Italy
| | - J Brian Fowlkes
- Basic Radiological Sciences Division, Department of Radiology, University of Michigan Health System, Ann Arbor, Michigan, USA
| | - Odd Helge Gilja
- National Centre for Ultrasound in Gastroenterology, Haukeland University Hospital, Bergen, and Department of Clinical Medicine, University of Bergen, Norway
| | - Pintong Huang
- Department of Ultrasound in Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Andre Ignee
- Department of Internal Medicine 2, Caritas Krankenhaus, Bad Mergentheim, Germany
| | - Christian Jenssen
- Krankenhaus Märkisch Oderland, Department of Internal Medicine, Strausberg/Wriezen, Germany
| | - Yuko Kono
- Departments of Medicine and Radiology, University of California, San Diego, California, USA
| | - Masatoshi Kudo
- Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Nathalie Lassau
- Imaging Department, Gustave Roussy and BIOMAPS, Université Paris-Saclay, Villejuif, France
| | - Won Jae Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Departments of Health and Science and Technology and Medical Device Management and Research, Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Seoul, Korea
| | - Jae Young Lee
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Ping Liang
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| | - Adrian Lim
- Department of Imaging, Imperial College London and Healthcare NHS Trust, Charing Cross Hospital Campus, London, United Kingdom
| | - Andrej Lyshchik
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | | | - Jean Michel Correas
- Service de Radiologie Adultes, Hôpital Necker, Université Paris Descartes, Paris, France
| | - Yasunori Minami
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, Osaka, Japan
| | - Fuminori Moriyasu
- Center for Cancer Ablation Therapy, Sanno Hospital, International University of Health and Welfare, Tokyo, Japan
| | - Carlos Nicolau
- Radiology Department, Hospital Clinic. University of Barcelona, Barcelona, Spain
| | - Fabio Piscaglia
- Unit of Internal Medicine, Department of Medical and Surgical Sciences, University of Bologna S. Orsola-Malpighi Hospital, Bologna, Italy
| | - Adrian Saftoiu
- Research Center of Gastroenterology and Hepatology Craiova, University of Medicine and Pharmacy Craiova, Romania
| | - Paul S Sidhu
- Department of Radiology, King's College Hospital, King's College London, London, United Kingdom
| | - Ioan Sporea
- Department of Gastroenterology and Hepatology, University of Medicine and Pharmacy "Victor Babes", Timisoara, Romania
| | - Guido Torzilli
- Department of Surgery, Division of Hepatobiliary & General Surgery, Humanitas University & Research Hospital, Rozzano, Milan, Italy
| | - Xiaoyan Xie
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Rongqin Zheng
- Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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Contrast-Enhanced Ultrasound for Focal Hepatic Lesions: When to Use and How to Differentiate Lesions? Ultrasound Q 2020; 36:224-234. [PMID: 32890325 DOI: 10.1097/ruq.0000000000000475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Contrast-enhanced ultrasound can be used effectively to evaluate focal hepatic lesions and offers unique advantages over computed tomography and magnetic resonance imaging. Serial vascular filling patterns of focal hepatic lesions during arterial, portal, and late phases can provide unique information on lesion characterization and differentiation. Sensitive depiction of arterial hypervascularity and analysis of washout pattern are clues for differentiation of several indeterminate hepatic nodules on conventional ultrasound and computed tomography/magnetic resonance. In this report, we present cases demonstrating clinical applications of contrast-enhanced ultrasound in the diagnosis and management of focal hepatic lesions.
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Yoo J, Lee JM. Diagnostic Value of High Frame Rate Contrast-enhanced Ultrasonography and Post-processing Contrast Vector Imaging for Evaluation of Focal Liver Lesions: A Feasibility Study. ULTRASOUND IN MEDICINE & BIOLOGY 2020; 46:2254-2264. [PMID: 32546409 DOI: 10.1016/j.ultrasmedbio.2020.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 03/25/2020] [Accepted: 05/04/2020] [Indexed: 06/11/2023]
Abstract
This study evaluated the feasibility of contrast vector imaging (CVI) to characterize focal liver lesions. From July to October 2019, we prospectively enrolled 30 patients with focal liver lesions (hepatocellular carcinoma [HCC] [n = 19], metastasis [n = 8], combined HCC-cholangiocarcinoma [CC] [n = 1], intra-hepatic CC [n = 1] and sclerosed hemangioma [n = 1]). Contrast-enhanced ultrasound (CEUS) was performed with high frame rate contrast harmonic imaging technique by one radiologist, and post-processing CVI was obtained and analyzed by two radiologists. On combined CVI with CEUS, the staining pattern was significantly predominant in HCCs (9/11, 81.8%), while peripheral rim was frequent in non-HCCs (5/8, 62.5%) (p = 0.020). HCCs exhibited feeding arteries (8/11, 45.5%) and high velocity variance (10/11, 90.9 %), whereas non-HCCs showed detour pattern (4/8, 50.0%) with either a high or low velocity variance (4/8, 50.0%, both), with no significant inter-group differences (p = 0.052 and 0.080, respectively). In conclusion, CVI was feasible and provided quantitative and multi-parametric information of different types of hepatic tumors.
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Affiliation(s)
- Jeongin Yoo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea; Seoul National University College of Medicine and Institute of Radiation Medicine, Seoul, Korea.
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Wilson SR, Barr RG. Contrast-Enhanced Ultrasonography of the Abdomen. ADVANCES IN CLINICAL RADIOLOGY 2020; 2:213-233. [DOI: 10.1016/j.yacr.2020.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
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Ding J, Long L, Zhang X, Chen C, Zhou H, Zhou Y, Wang Y, Jing X, Ye Z, Wang F. Contrast-enhanced ultrasound LI-RADS 2017: comparison with CT/MRI LI-RADS. Eur Radiol 2020; 31:847-854. [PMID: 32803416 DOI: 10.1007/s00330-020-07159-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 06/14/2020] [Accepted: 08/05/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To compare the classification based on contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) with that of contrast-enhanced CT and MRI (CECT/MRI) LI-RADS for liver nodules in patients at high risk of hepatocellular carcinoma. METHODS Two hundred thirty-nine patients with 273 nodules were enrolled in this retrospective study. Each nodule was categorized according to the CEUS LI-RADS version 2017 and CECT/MRI LI-RADS version 2017. The diagnostic performance of CEUS and CECT/MRI was compared. The reference standard was histopathology diagnosis. Inter-modality agreement was assessed with Cohen's kappa. RESULTS The inter-modality agreement for CEUS LI-RADS and CECT/MRI LI-RADS was fair with a kappa value of 0.319 (p < 0.001). The positive predictive values (PPVs) of hepatocellular carcinoma (HCC) in LR-5, LR-4, and LR-3 were 98.3%, 60.0%, and 25.0% in CEUS, and 95.9%, 65.7%, and 48.1% in CECT/MRI, respectively. The sensitivities and specificities of LR-5 for diagnosing HCC were 75.6% and 93.8% in CEUS, and 83.6% and 83.3% in CECT/MRI, respectively. The positive predictive values of non-HCC malignancy in CEUS LR-M and CECT/MRI LR-M were 33.9% and 93.3%, respectively. The sensitivity, specificity, and accuracy for diagnosing non-HCC malignancy were 90.9%, 84.5%, and 85.0% in CEUS LR-M and 63.6%, 99.6%, and 96.7% in CECT/MRI LR-M, respectively. CONCLUSIONS The inter-modality agreement of the LI-RADS category between CEUS and CECT/MRI is fair. The positive predictive values of HCCs in LR-5 of the CEUS and CECT/MRI LI-RADS are comparable. CECT/MRI LR-M has better diagnostic performance for non-HCC malignancy than CEUS LR-M. KEY POINTS • The inter-modality agreement for the final LI-RADS category between CEUS and CECT/MRI is fair. • The LR-5 of CEUS and CECT/MRI LI-RADS corresponds to comparable positive predictive values (PPVs) of HCC. For LR-3 and LR-4 nodules categorized by CECT/MRI, CEUS examination should be performed, at least if they can be detected on plain ultrasound. • CECT/MRI LR-M has better diagnostic performance for non-HCC malignancy than CEUS LR-M. For LR-M nodules categorized by CEUS, re-evaluation by CECT/MRI is necessary.
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Affiliation(s)
- Jianmin Ding
- Department of Radiology, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Department of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, 300170, China
| | - Lei Long
- Department of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, 300170, China
| | - Xiang Zhang
- Department of Radiology, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, 300170, China
| | - Chen Chen
- Department of Radiology, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, 300170, China
| | - Hongyu Zhou
- Department of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, 300170, China
| | - Yan Zhou
- Department of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, 300170, China
| | - Yandong Wang
- Department of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, 300170, China
| | - Xiang Jing
- Department of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, 300170, China.
| | - Zhaoxiang Ye
- Department of Radiology, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
| | - Fengmei Wang
- Department of Gastroenterology and Hepatology, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, 300170, China
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Huang JY, Li JW, Ling WW, Li T, Luo Y, Liu JB, Lu Q. Can contrast enhanced ultrasound differentiate intrahepatic cholangiocarcinoma from hepatocellular carcinoma? World J Gastroenterol 2020; 26:3938-3951. [PMID: 32774068 PMCID: PMC7385563 DOI: 10.3748/wjg.v26.i27.3938] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/09/2020] [Accepted: 07/04/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) differ in treatment and prognosis, warranting an effective differential diagnosis between them. The LR-M category in the contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) was set up for lesions that are malignant but not specific to HCC. However, a substantial number of HCC cases in this category elevated the diagnostic challenge. AIM To investigate the possibility and efficacy of differentiating ICC from HCC classified in the LR-M category according to the CEUS LI-RADS. METHODS Patients with complete CEUS records together with pathologically confirmed ICC and LR-M HCC (HCC classified in the CEUS LI-RADS LR-M category) between January 2015 and October 2018 were included in this retrospective study. Each ICC was assigned a category as per the CEUS LI-RADS. The enhancement pattern, washout timing, and washout degree between the ICC and LR-M HCC were compared using the χ 2 test. Logistic regression analysis was used for prediction of ICC. Receiver operating characteristic (ROC) curve analysis was used to investigate the possibility of LR-M criteria and serum tumor markers in differentiating ICC from LR-M HCC. RESULTS A total of 228 nodules (99 ICCs and 129 LR-M HCCs) in 228 patients were included. The mean sizes of ICC and LR-M HCC were 6.3 ± 2.8 cm and 5.5 ± 3.5 cm, respectively (P = 0.03). Peripheral rim-like arterial phase hyperenhancement (APHE) was detected in 50.5% (50/99) of ICCs vs 16.3% (21/129) of LR-M HCCs (P < 0.001). Early washout was found in 93.4% (93/99) of ICCs vs 96.1% (124/129) of LR-M HCCs (P > 0.05). Marked washout was observed in 23.2% (23/99) of ICCs and 7.8% (10/129) of LR-M HCCs (P = 0.002), while this feature did not show up alone either in ICC or LR-M HCC. Homogeneous hyperenhancement was detected in 15.2% (15/99) of ICCs and 37.2% (48/129) of LR-M HCCs (P < 0.001). The logistic regression showed that rim APHE, carbohydrate antigen 19-9 (CA 19-9), and alpha fetoprotein (AFP) had significant correlations with ICC (r = 1.251, 3.074, and -2.767, respectively; P < 0.01). Rim APHE presented the best enhancement pattern for diagnosing ICC, with an area under the ROC curve (AUC) of 0.70, sensitivity of 70.4%, and specificity of 68.8%. When rim hyperenhancement was coupled with elevated CA 19-9 and normal AFP, the AUC and sensitivity improved to 0.82 and 100%, respectively, with specificity decreasing to 63.9%. CONCLUSION Rim APHE is a key predictor for differentiating ICC from LR-M HCC. Rim APHE plus elevated CA 19-9 and normal AFP is a strong predictor of ICC rather than LR-M HCC. Early washout and marked washout have limited value for the differentiation between the two entities.
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Affiliation(s)
- Jia-Yan Huang
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Jia-Wu Li
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Wen-Wu Ling
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Tao Li
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Yan Luo
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Ji-Bin Liu
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, United States
| | - Qiang Lu
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
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Dietrich CF, Dong Y, Kono Y, Caraiani C, Sirlin CB, Cui XW, Tang A. LI-RADS ancillary features on contrast-enhanced ultrasonography. Ultrasonography 2020; 39:221-228. [PMID: 32475089 PMCID: PMC7315297 DOI: 10.14366/usg.19052] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 04/02/2020] [Accepted: 05/09/2020] [Indexed: 12/11/2022] Open
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) was created to standardize liver imaging in patients at high risk for hepatocellular carcinoma (HCC), and it uses a diagnostic algorithm to assign categories that reflect the relative probability of HCC, non-HCC malignancies, or benign focal liver lesions. In addition to major imaging features, ancillary features (AFs) are used by radiologists to refine the categorization of liver nodules. In the present document, we discuss and explain the application of AFs currently defined within the LI-RADS guidelines. We also explore possible additional AFs visible on contrast-enhanced ultrasonography (CEUS). Finally, we summarize the management of CEUS LI-RADS features, including the role of current and potential future AFs.
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Affiliation(s)
- Christoph F. Dietrich
- Department Allgemeine Innere Medizin (DAIM), Kliniken Beau Site, Salem und Permanence, Hirslanden, Bern, Switzerland
- Ultrasound Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yi Dong
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuko Kono
- Department of Medicine and Radiology, University of California, San Diego, CA, USA
| | - Cosmin Caraiani
- Department of Medical Imaging, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Claude B. Sirlin
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Xin-Wu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Tang
- Department of Radiology, Université de Montréal, Montreal, Canada
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Chan SS, Colecchia A, Duarte RF, Bonifazi F, Ravaioli F, Bourhis JH. Imaging in Hepatic Veno-Occlusive Disease/Sinusoidal Obstruction Syndrome. Biol Blood Marrow Transplant 2020; 26:1770-1779. [PMID: 32593647 DOI: 10.1016/j.bbmt.2020.06.016] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 06/17/2020] [Indexed: 12/12/2022]
Abstract
Veno-occlusive disease/sinusoidal obstruction syndrome (VOD/SOS) is a potentially life-threatening complication of hematopoietic cell transplantation. Early diagnosis and, subsequently, earlier intervention have been shown to be beneficial to clinical outcomes. Diagnostic criteria from the European Society for Blood and Marrow Transplantation include recommendations on the use of imaging for diagnosis. This review discusses evidence on the use of imaging in the management of VOD/SOS and how imaging biomarkers can contribute to earlier diagnosis/treatment.
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Affiliation(s)
- Sherwin S Chan
- Department of Radiology, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri.
| | - Antonio Colecchia
- Department of General Medicine, University Hospital, Borgo-Trento, Verona, Italy
| | - Rafael F Duarte
- Department of Hematology, Hospital Universitario Puerta de Hierro Majadahonda, Majadahonda, Spain
| | - Francesca Bonifazi
- Department of Hematology, "L and A Seràgnoli", St Orsola-Malpighi University Hospital, Bologna, Italy
| | - Federico Ravaioli
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy
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Dong Y, Teufel A, Wang WP, Dietrich CF. Current Opinion about Hepatocellular Carcinoma <10 mm. Digestion 2020; 102:335-341. [PMID: 32516767 DOI: 10.1159/000507923] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 04/14/2020] [Indexed: 02/04/2023]
Abstract
BACKGROUND Early detection of hepatocellular carcinoma (HCC) is important. Advances in liver imaging techniques have facilitated the detection of HCC at an early stage. However, there is a controversial discussion on how to diagnose very small HCC by imaging. The aim of the current review is to present current published data on HCC ≤10 mm and discuss on how to best diagnose and treat such lesions. SUMMARY It is still challenging, however, to accurately characterize HCC <10 mm. The accuracy of contrast-enhanced ultrasound may be critical for early treatment decisions for cancer patients, particularly when CECT and/or CEMRI are inconclusive. Key Messages: The characterization of focal liver lesions <10 mm is frequently delayed until a follow-up imaging procedure demonstrates growth or stability. A repetition of ultrasound examination after 3 months for new nodules <1 cm should be recommended.
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Affiliation(s)
- Yi Dong
- Ultrasound Department, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Andreas Teufel
- Division of Hepatology, Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Wen-Ping Wang
- Ultrasound Department, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Christoph F Dietrich
- Department Allgemeine Innere Medizin (DAIM), Kliniken Hirslanden Beau Site, Salem und Permanence, Bern, Switzerland,
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Wang DC, Jang HJ, Kim TK. Characterization of Indeterminate Liver Lesions on CT and MRI With Contrast-Enhanced Ultrasound: What Is the Evidence? AJR Am J Roentgenol 2020; 214:1295-1304. [PMID: 32182094 DOI: 10.2214/ajr.19.21498] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
OBJECTIVE. CT or MRI is most commonly used for characterizing focal hepatic lesions. However, findings on CT and MRI are occasionally indeterminate. Contrast-enhanced ultrasound (CEUS), with its unique characteristics as a purely intravascular contrast agent and real-time evaluation of enhancement, is a useful next step. The purpose of this article is to review the evidence for performing CEUS in the assessment of indeterminate hepatic lesions seen on CT and MRI. CONCLUSION. CEUS is a useful problem-solving tool in the evaluation of liver lesions that are indeterminate on CT and MRI. Uses include detection of arterial phase hyperenhancement; differentiation between hepatocellular carcinoma and intrahepatic cholangiocarcinoma; determination of benign versus malignant tumor thrombus, benign versus neoplastic cystic hepatic lesions, and hepatocellular adenoma versus focal nodular hyperplasia; and monitoring for recurrence in postablative therapies. CEUS can help establish a confident diagnosis and determine the need for further invasive diagnosis or treatment.
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Affiliation(s)
- David C Wang
- Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, 585 University Ave, Toronto, ON M5G 2N2, Canada
| | - Hyun-Jung Jang
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, 585 University Ave, Toronto, ON M5G 2N2, Canada
| | - Tae Kyoung Kim
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, 585 University Ave, Toronto, ON M5G 2N2, Canada
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Delli Pizzi A, Mastrodicasa D, Cianci R, Serafini FL, Mincuzzi E, Di Fabio F, Giammarino A, Mannetta G, Basilico R, Caulo M. Multimodality Imaging of Hepatocellular Carcinoma: From Diagnosis to Treatment Response Assessment in Everyday Clinical Practice. Can Assoc Radiol J 2020; 72:714-727. [PMID: 32436394 DOI: 10.1177/0846537120923982] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) is a recently developed classification aiming to improve the standardization of liver imaging assessment in patients at risk of developing hepatocellular carcinoma (HCC). The LI-RADS v2017 implemented new algorithms for ultrasound (US) screening and surveillance, contrast-enhanced US diagnosis and computed tomography/magnetic resonance imaging treatment response assessment. A minor update of LI-RADS was released in 2018 to comply with the American Association for the Study of the Liver Diseases guidance recommendations. The scope of this review is to provide a practical overview of LI-RADS v2018 focused both on the multimodality HCC diagnosis and treatment response assessment.
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Affiliation(s)
- Andrea Delli Pizzi
- ITAB-Institute of Advanced Biomedical Technologies, "G. d'Annunzio" University, Chieti, Italy.,Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | | | - Roberta Cianci
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | | | - Erica Mincuzzi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Francesca Di Fabio
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Alberto Giammarino
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Gianluca Mannetta
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Raffaella Basilico
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Massimo Caulo
- ITAB-Institute of Advanced Biomedical Technologies, "G. d'Annunzio" University, Chieti, Italy.,Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
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Wilson SR, Burns PN, Kono Y. Contrast-Enhanced Ultrasound of Focal Liver Masses: A Success Story. ULTRASOUND IN MEDICINE & BIOLOGY 2020; 46:1059-1070. [PMID: 32059917 DOI: 10.1016/j.ultrasmedbio.2019.12.021] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Revised: 12/17/2019] [Accepted: 12/19/2019] [Indexed: 06/10/2023]
Abstract
The epidemic of increasing fatty liver disease and liver cancer worldwide, and especially in Western society, has given new importance to non-invasive liver imaging. Contrast-enhanced ultrasound (CEUS) using microbubble contrast agents provides unique advantages over computed tomography (CT) and magnetic resonance imaging (MRI), the currently established methods. CEUS provides determination of malignancy and allows excellent differential diagnosis of a focal liver mass, based on arterial phase enhancement patterns and assessment of the timing and intensity of washout. Today, increased use of CEUS has provided safe and rapid diagnosis of incidentally detected liver masses, improved multidisciplinary management of nodules in a cirrhotic liver, facilitated ablative therapy for liver tumors and allowed diagnosis of hepatocellular carcinoma without biopsy. Benefits of CEUS include the dynamic real-time depiction of tumor perfusion and the fact that it is a purely intravascular agent, accurately reflecting tumoral and inflammatory blood flow. CEUS has many similarities to contrast-enhanced CT and MRI but also unique differences, which are described. The integration of CEUS into a multimodality imaging setting optimizes patient care.
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Affiliation(s)
- Stephanie R Wilson
- Department of Radiology, and Division of Gastroenterology, Department of Medicine, University of Calgary, Foothills Medical Centre, Calgary, Alberta, Canada.
| | - Peter N Burns
- Department of Medical Biophysics, University of Toronto, Imaging Research, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Yuko Kono
- Department of Medicine, Division of Gastroenterology and Hepatology, University of California San Diego, San Diego, CA
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Wang JY, Feng SY, Yi AJ, Zhu D, Xu JW, Li J, Cui XW, Dietrich CF. Comparison of Contrast-Enhanced Ultrasound versus Contrast-Enhanced Magnetic Resonance Imaging for the Diagnosis of Focal Liver Lesions Using the Liver Imaging Reporting and Data System. ULTRASOUND IN MEDICINE & BIOLOGY 2020; 46:1216-1223. [PMID: 32115307 DOI: 10.1016/j.ultrasmedbio.2020.01.023] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 01/18/2020] [Accepted: 01/22/2020] [Indexed: 06/10/2023]
Abstract
The aim of this retrospective study was to evaluate the Liver Imaging Reporting and Data System (LI-RADS) categorization of focal liver lesions (FLLs) on contrast-enhanced ultrasound (CEUS) in comparison with contrast-enhanced magnetic resonance imaging (CE-MRI). A total of 63 patients with 84 FLLs were included in the final study population, after review of the electronic medical records and clinical data. Two trained radiologists evaluated all CEUS and CE-MRI images independently. They assigned a LI-RADS category to each FLL and assessed major features based on CEUS LI-RADS Version 2017 and computed tomography/MRI LI-RADS Version 2018. The generalized estimating equation method was used to compare the diagnostic performance of the LI-RADS algorithm between CEUS and CE-MRI. The sensitivity of LR-5/LR-TIV (tumor in vein) categories for diagnosing hepatocellular carcinoma (HCC) differed significantly between CEUS and CE-MRI (88.9% [40/45], 95% confidence interval [CI]: 76.5%-95.2%), versus 64.4% (29/45; 95% CI: 49.8%-76.8%), p = 0.006; 82.2% (37/45; 95% CI: 68.7%-90.7%), versus 62.2% (28/45; 95% CI: 47.6%-74.9%), p = 0.034. Inter-observer agreement was substantial for assigning LR-5 on both CEUS and CE-MRI. For both reviewers, there was a higher frequency of LR-5 (44.0% vs. 25.0%, p = 0.009; 42.9% vs. 26.2%, p = 0.023) in CEUS compared with CE-MRI. Arterial phase hyper-enhancement (APHE) was less frequently observed on CEUS than on CE-MRI (46.4% vs. 61.9%, p = 0.044). However, the washout appearance was observed more frequently on CEUS than on CE-MRI (50.0% vs. 28.6%, p = 0.004). Inter-observer agreement between the two reviewers on APHE and washout appearance was excellent for both CEUS and CE-MRI. These findings suggest that CEUS had a much higher sensitivity than CE-MRI in the diagnosis of HCC using LI-RADS, and although the frequencies of major features differed, inter-observer agreement between the two reviewers on major features of HCC was excellent for both CEUS and CE-MRI.
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Affiliation(s)
- Jia-Yu Wang
- Sino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shao-Yang Feng
- Department of Ultrasound, Sixth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Ai-Jiao Yi
- Department of Ultrasound, First People's Hospital of Yueyang, Yueyang, China
| | - Di Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jian-Wei Xu
- Department of Ultrasound, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jun Li
- Department of Ultrasound, First Affiliated Hospital of Shihezi University, Shihezi, China
| | - Xin-Wu Cui
- Sino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Lee JY, Minami Y, Choi BI, Lee WJ, Chou YH, Jeong WK, Park MS, Kudo N, Lee MW, Kamata K, Iijima H, Kim SY, Numata K, Sugimoto K, Maruyama H, Sumino Y, Ogawa C, Kitano M, Joo I, Arita J, Liang JD, Lin HM, Nolsoe C, Gilja OH, Kudo M. The AFSUMB Consensus Statements and Recommendations for the Clinical Practice of Contrast-Enhanced Ultrasound using Sonazoid. Ultrasonography 2020; 39:191-220. [PMID: 32447876 PMCID: PMC7315291 DOI: 10.14366/usg.20057] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 04/27/2020] [Indexed: 12/11/2022] Open
Abstract
The first edition of the guidelines for the use of ultrasound contrast agents was published in 2004, dealing with liver applications. The second edition of the guidelines in 2008 reflected changes in the available contrast agents and updated the guidelines for the liver, as well as implementing some nonliver applications. The third edition of the contrast-enhanced ultrasound (CEUS) guidelines was the joint World Federation for Ultrasound in Medicine and Biology-European Federation of Societies for Ultrasound in Medicine and Biology (WFUMB-EFSUMB) venture in conjunction with other regional US societies such as Asian Federation of Societies for Ultrasound in Medicine and Biology, resulting in a simultaneous duplicate on liver CEUS in the official journals of both WFUMB and EFSUMB in 2013. However, no guidelines were described mainly for Sonazoid due to limited clinical experience only in Japan and Korea. The new proposed consensus statements and recommendations provide general advice on the use of Sonazoid and are intended to create standard protocols for the use and administration of Sonazoid in hepatic and pancreatobiliary applications in Asian patients and to improve patient management.
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Affiliation(s)
- Jae Young Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Yasunori Minami
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, Higashi-Osaka, Japan
| | - Byung Ihn Choi
- Department of Radiology, Chung Ang University Hospital, Seoul, Korea
| | - Won Jae Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yi-Hong Chou
- Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology, Hsinchu, Taiwan.,Department of Radiology, National Yang Ming University, Taipei, Taiwan
| | - Woo Kyoung Jeong
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mi-Suk Park
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Nobuki Kudo
- Laboratory of Biomedical Engineering, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan
| | - Min Woo Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ken Kamata
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, Higashi-Osaka, Japan
| | - Hiroko Iijima
- Department of Ultrasound, Hepatobiliary and Pancreatic Disease, Hyogo College of Medicine, Nishinomiya, Japan
| | - So Yeon Kim
- Department of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Kazushi Numata
- Gastroenterological Center, Yokohama City University Medical Center, Yokohama, Japan
| | - Katsutoshi Sugimoto
- Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan
| | - Hitoshi Maruyama
- Department of Gastroenterology, Juntendo University, Tokyo, Japan
| | - Yasukiyo Sumino
- Department of Gastroenterology and Hepatology, Toho University Medical Center, Tokyo, Japan
| | - Chikara Ogawa
- Department of Gastroenterology and Hepatology, Takamatsu Red Cross Hospital, Takamatsu, Japan
| | - Masayuki Kitano
- Department of Gastroenterology and Hepatology, Wakayama Medical University Hospital, Wakayama, Japan
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Junichi Arita
- Hepato-Biliary-Pancreatic Surgery Division and Artificial Organ and Transplantation Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ja-Der Liang
- Department of Gastroenterology and Hepatology, National Taiwan University, Taipei, Taiwan
| | - Hsi-Ming Lin
- Department of Gastroenterology and Hepatology, Chang Gung University, Taipei, Taiwan
| | - Christian Nolsoe
- Ultrasound Section, Division of Surgery, Department of Gastroenterology, Herlev Hospital, Copenhagen Academy for Medical Education and Simulation, University of Copenhagen, Copenhagen, Denmark
| | - Odd Helge Gilja
- National Centre for Ultrasound in Gastroenterology, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Masatoshi Kudo
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, Higashi-Osaka, Japan
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Gregory J, Paisant A, Paulatto L, Raynaud L, Bertin C, Kerbaol A, Vullierme MP, Paradis V, Vilgrain V, Ronot M. Limited added value of contrast-enhanced ultrasound over B-mode for the subtyping of hepatocellular adenomas. Eur J Radiol 2020; 128:109027. [PMID: 32361381 DOI: 10.1016/j.ejrad.2020.109027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 03/30/2020] [Accepted: 04/15/2020] [Indexed: 12/21/2022]
Abstract
PURPOSE To compare the features of hepatocellular adenoma subtypes (HCAs) in B-mode and contrast-enhanced ultrasound (CEUS). METHOD Thirty-three patients (31 women [94 %] and two men [6%], median age [Q1-Q3] 43.5 years old [35-51]) with 44 pathologically proven and subtyped HCAs (including 29 inflammatory HCAs [I-HCA] and 15 HNF1-α inactivated HCAs [H-HCA]) who underwent CEUS were included. The features of HCA on B-mode and CEUS were independently reviewed by two radiologists and compared between HCA subtypes. RESULTS I-HCAs were mostly hypoechoic (23/29, 79 %) or isoechoic (4/29, 14 %) with B-mode. Twelve of them (41 %) were heterogeneous. All H-HCAs except one demonstrated homogeneous hyperechogenicity (93 %) (p = 0.001). Moderate or marked liver steatosis was only observed in I-HCAs (12/29, 41 %) (p = 0.001). Arterial hyperenhancement was observed on CEUS in 27/29 (93 %) I-HCAs and in 14/15 (93 %) H-HCAs (p=0.98). Washout was present in 6/29 (21 %) I-HCAs and 1/15 (7%) H-HCAs (p=0.27). A total of 23/29 (79 %) I-HCAs and 15/15 (100 %) HCAs were homogeneous on portal and delayed phase acquisitions (p=0.04). The specificity for identifying an H-HCA was 100 % when the lesion was homogeneous and hyperechoic on B-mode, and the sensibility to rule out an H-HCA was 100 % if neither of these two features was present in a liver with obvious steatosis. CONCLUSIONS Most CEUS features, especially enhancement patterns, do not significantly differ between HCA subtypes. When HCA is suspected on CEUS, B-mode features should be considered, and a combination of lesion hyperechogenicity, homogeneity and the absence of obvious liver steatosis may be useful to distinguish H-HCAs from I-HCAs.
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Affiliation(s)
- Jules Gregory
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France; Université de Paris, Faculté de Médecine, Paris, France
| | - Anita Paisant
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France
| | - Luisa Paulatto
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France
| | - Lucas Raynaud
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France
| | - Caroline Bertin
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France
| | - Anne Kerbaol
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France
| | - Marie-Pierre Vullierme
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France; Université de Paris, Faculté de Médecine, Paris, France
| | - Valérie Paradis
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France; Université de Paris, Faculté de Médecine, Paris, France; INSERM U1149, Centre de Recherche de l'Inflammation (CRI), Paris, France
| | - Valérie Vilgrain
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France; Université de Paris, Faculté de Médecine, Paris, France; INSERM U1149, Centre de Recherche de l'Inflammation (CRI), Paris, France
| | - Maxime Ronot
- Assistance Publique - Hôpitaux de Paris, Hôpitaux Universitaires Paris Nord Val de Seine, Hôpital Beaujon, Clichy, France; Université de Paris, Faculté de Médecine, Paris, France; INSERM U1149, Centre de Recherche de l'Inflammation (CRI), Paris, France.
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Lee JY, Minami Y, Choi BI, Lee WJ, Chou YH, Jeong WK, Park MS, Kudo N, Lee MW, Kamata K, Iijima H, Kim SY, Numata K, Sugimoto K, Maruyama H, Sumino Y, Ogawa C, Kitano M, Joo I, Arita J, Liang JD, Lin HM, Nolsoe C, Gilja OH, Kudo M. The AFSUMB Consensus Statements and Recommendations for the Clinical Practice of Contrast-Enhanced Ultrasound using Sonazoid. J Med Ultrasound 2020; 28:59-82. [PMID: 32874864 PMCID: PMC7446696 DOI: 10.4103/jmu.jmu_124_19] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 02/09/2020] [Accepted: 02/17/2020] [Indexed: 12/13/2022] Open
Abstract
The first edition of the guidelines for the use of ultrasound contrast agents was published in 2004, dealing with liver applications. The second edition of the guidelines in 2008 reflected changes in the available contrast agents and updated the guidelines for the liver, as well as implementing some nonliver applications. The third edition of the contrast-enhanced ultrasound (CEUS) guidelines was the joint World Federation for Ultrasound in Medicine and Biology-European Federation of Societies for Ultrasound in Medicine and Biology (WFUMB-EFSUMB) venture in conjunction with other regional US societies such as Asian Federation of Societies for Ultrasound in Medicine and Biology, resulting in a simultaneous duplicate on liver CEUS in the official journals of both WFUMB and EFSUMB in 2013. However, no guidelines were described mainly for Sonazoid due to limited clinical experience only in Japan and Korea. The new proposed consensus statements and recommendations provide general advice on the use of Sonazoid and are intended to create standard protocols for the use and administration of Sonazoid in hepatic and pancreatobiliary applications in Asian patients and to improve patient management.
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Affiliation(s)
- Jae Young Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Yasunori Minami
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, Higashi-Osaka, Japan
| | - Byung Ihn Choi
- Department of Radiology, Chung Ang University Hospital, Seoul, Korea
| | - Won Jae Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yi-Hong Chou
- Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology, Hsinchu, Taiwan
- Department of Radiology, National Yang Ming University, Taipei, Taiwan
| | - Woo Kyoung Jeong
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mi-Suk Park
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Nobuki Kudo
- Laboratory of Biomedical Engineering, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan
| | - Min Woo Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ken Kamata
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, Higashi-Osaka, Japan
| | - Hiroko Iijima
- Department of Ultrasound, Hepatobiliary and Pancreatic Disease, Hyogo College of Medicine, Nishinomiya, Japan
| | - So Yeon Kim
- Department of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Kazushi Numata
- Gastroenterological Center, Yokohama City University Medical Center, Yokohama, Japan
| | - Katsutoshi Sugimoto
- Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan
| | - Hitoshi Maruyama
- Department of Gastroenterology, Juntendo University, Tokyo, Japan
| | - Yasukiyo Sumino
- Department of Gastroenterology and Hepatology, Toho University Medical Center, Tokyo, Japan
| | - Chikara Ogawa
- Department of Gastroenterology and Hepatology, Takamatsu Red Cross Hospital, Takamatsu, Japan
| | - Masayuki Kitano
- Department of Gastroenterology and Hepatology, Wakayama Medical University Hospital, Wakayama, Japan
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Junichi Arita
- Hepato-Biliary-Pancreatic Surgery Division and Artificial Organ and Transplantation Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ja-Der Liang
- Department of Gastroenterology and Hepatology, National Taiwan University, Taipei, Taiwan
| | - Hsi-Ming Lin
- Department of Gastroenterology and Hepatology, Chang Gung University, Taipei, Taiwan
| | - Christian Nolsoe
- Ultrasound Section, Division of Surgery, Department of Gastroenterology, Herlev Hospital, Copenhagen Academy for Medical Education and Simulation, University of Copenhagen, Copenhagen, Denmark
| | - Odd Helge Gilja
- National Centre for Ultrasound in Gastroenterology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Masatoshi Kudo
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, Higashi-Osaka, Japan
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Bartolotta TV, Terranova MC, Gagliardo C, Taibbi A. CEUS LI-RADS: a pictorial review. Insights Imaging 2020; 11:9. [PMID: 32020352 PMCID: PMC7000618 DOI: 10.1186/s13244-019-0819-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Accepted: 11/21/2019] [Indexed: 12/12/2022] Open
Abstract
Contrast-enhanced ultrasound (CEUS) greatly improved the diagnostic accuracy of US in the detection and characterization of focal liver lesions (FLLs), and it is suggested and often included in many international guidelines as an important diagnostic tool in the imaging work-up of cirrhotic patients at risk for developing hepatocellular carcinoma (HCC). In particular, CEUS Liver Imaging Reporting and Data System (LI-RADS) provides standardized terminology, interpretation, and reporting for the diagnosis of HCC. The aim of this pictorial essay is to illustrate CEUS features of nodules discovered at US in cirrhotic liver according to LI-RADS categorization.
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Affiliation(s)
- Tommaso Vincenzo Bartolotta
- BiND Department: Biomedicine, Neuroscience and Advanced Diagnostic, University of Palermo, Via Del Vespro, 129 90127, Palermo, Italy.
- Department of Radiology, Fondazione Istituto Giuseppe Giglio Ct.da Pietrapollastra, Via Pisciotto, 90015, Cefalù (Palermo), Italy.
| | - Maria Chiara Terranova
- BiND Department: Biomedicine, Neuroscience and Advanced Diagnostic, University of Palermo, Via Del Vespro, 129 90127, Palermo, Italy
| | - Cesare Gagliardo
- BiND Department: Biomedicine, Neuroscience and Advanced Diagnostic, University of Palermo, Via Del Vespro, 129 90127, Palermo, Italy
| | - Adele Taibbi
- BiND Department: Biomedicine, Neuroscience and Advanced Diagnostic, University of Palermo, Via Del Vespro, 129 90127, Palermo, Italy
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Huang JY, Li JW, Lu Q, Luo Y, Lin L, Shi YJ, Li T, Liu JB, Lyshchik A. Diagnostic Accuracy of CEUS LI-RADS for the Characterization of Liver Nodules 20 mm or Smaller in Patients at Risk for Hepatocellular Carcinoma. Radiology 2020; 294:329-339. [PMID: 31793849 DOI: 10.1148/radiol.2019191086] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background American College of Radiology contrast agent-enhanced US Liver Imaging Reporting and Data System (CEUS LI-RADS) was developed to improve the accuracy of hepatocellular carcinoma (HCC) diagnosis at contrast agent-enhanced US. However, to the knowledge of the authors, the diagnostic accuracy of the system in characterization of liver nodules 20 mm or smaller has not been fully evaluated. Purpose To evaluate the diagnostic accuracy of CEUS LI-RADS in diagnosing HCC in liver nodules 20 mm or smaller in patients at risk for HCC. Materials and Methods Between January 2015 and February 2018, consecutive patients at risk for HCC presenting with untreated liver nodules 20 mm or less were enrolled in this retrospective double-reader study. Each nodule was categorized according to the CEUS LI-RADS and World Federation for Ultrasound in Medicine and Biology (WFUMB)-European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB) criteria. Diagnostic performance of CEUS LI-RADS and WFUMB-EFSUMB characterization was evaluated by using tissue histologic analysis, multiphase contrast-enhanced CT and MRI, and imaging follow-up as reference standard and compared by using McNemar test. Results The study included 175 nodules (mean diameter, 16.1 mm ± 3.4) in 172 patients (mean age, 51.8 years ± 10.6; 136 men). The sensitivity of CEUS LR-5 versus WFUMB-EFSUMB criteria in diagnosing HCC was 73.3% (95% confidence interval [CI]: 63.8%, 81.5%) versus 88.6% (95% CI: 80.9%, 94%), respectively (P < .001). The specificity of CEUS LR-5 versus WFUMB-EFSUMB criteria was 97.1% (95% CI: 90.1%, 99.7%) versus 87.1% (95% CI: 77%, 94%), respectively (P = .02). No malignant lesions were found in CEUS LR-1 and LR-2 categories. Only two nodules (of 41; 5%, both HCC) were malignant in CEUS LR-3 category. The incidences of HCC in CEUS LR-4, LR-5, and LR-M were 48% (11 of 23), 98% (77 of 79), and 75% (15 of 20), respectively. Two of 175 (1.1%) histologic analysis-confirmed intrahepatic cholangiocarcinomas were categorized as CEUS LR-M by CEUS LI-RADS and misdiagnosed as HCC by WFUMB-EFSUMB criteria. Conclusion The contrast-enhanced US Liver Imaging Reporting and Data System (CEUS LI-RADS) algorithm was an effective tool for characterization of small (≤20 mm) liver nodules in patients at risk for hepatocellular carcinoma (HCC). Compared with World Federation for Ultrasound in Medicine and Biology-European Federation of Societies for Ultrasound in Medicine and Biology criteria, CEUS LR-5 demonstrated higher specificity for diagnosing small HCCs with lower sensitivity. Published under a CC BY 4.0 license. See also the editorial by Crocetti in this issue.
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Affiliation(s)
- Jia-Yan Huang
- From the Department of Medical Ultrasound (J.Y.H., J.W.L., Q.L., Y.L., L.L.), Laboratory of Pathology (Y.J.S.), and Department of Anesthesiology (T.L.), West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan Province, China; and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (J.B.L., A.L.)
| | - Jia-Wu Li
- From the Department of Medical Ultrasound (J.Y.H., J.W.L., Q.L., Y.L., L.L.), Laboratory of Pathology (Y.J.S.), and Department of Anesthesiology (T.L.), West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan Province, China; and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (J.B.L., A.L.)
| | - Qiang Lu
- From the Department of Medical Ultrasound (J.Y.H., J.W.L., Q.L., Y.L., L.L.), Laboratory of Pathology (Y.J.S.), and Department of Anesthesiology (T.L.), West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan Province, China; and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (J.B.L., A.L.)
| | - Yan Luo
- From the Department of Medical Ultrasound (J.Y.H., J.W.L., Q.L., Y.L., L.L.), Laboratory of Pathology (Y.J.S.), and Department of Anesthesiology (T.L.), West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan Province, China; and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (J.B.L., A.L.)
| | - Ling Lin
- From the Department of Medical Ultrasound (J.Y.H., J.W.L., Q.L., Y.L., L.L.), Laboratory of Pathology (Y.J.S.), and Department of Anesthesiology (T.L.), West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan Province, China; and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (J.B.L., A.L.)
| | - Yu-Jun Shi
- From the Department of Medical Ultrasound (J.Y.H., J.W.L., Q.L., Y.L., L.L.), Laboratory of Pathology (Y.J.S.), and Department of Anesthesiology (T.L.), West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan Province, China; and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (J.B.L., A.L.)
| | - Tao Li
- From the Department of Medical Ultrasound (J.Y.H., J.W.L., Q.L., Y.L., L.L.), Laboratory of Pathology (Y.J.S.), and Department of Anesthesiology (T.L.), West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan Province, China; and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (J.B.L., A.L.)
| | - Ji-Bin Liu
- From the Department of Medical Ultrasound (J.Y.H., J.W.L., Q.L., Y.L., L.L.), Laboratory of Pathology (Y.J.S.), and Department of Anesthesiology (T.L.), West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan Province, China; and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (J.B.L., A.L.)
| | - Andrej Lyshchik
- From the Department of Medical Ultrasound (J.Y.H., J.W.L., Q.L., Y.L., L.L.), Laboratory of Pathology (Y.J.S.), and Department of Anesthesiology (T.L.), West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan Province, China; and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (J.B.L., A.L.)
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Kang HJ, Kim JH, Joo I, Han JK. Additional value of contrast-enhanced ultrasound (CEUS) on arterial phase non-hyperenhancement observations (≥ 2 cm) of CT/MRI for high-risk patients: focusing on the CT/MRI LI-RADS categories LR-3 and LR-4. Abdom Radiol (NY) 2020; 45:55-63. [PMID: 31332503 DOI: 10.1007/s00261-019-02132-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE To determine the added value of CEUS on arterial phase non-hyperenhancement (APNHE) observations (LR-3 and LR-4) of CT/MRI in high-risk patients. METHODS Forty-three patients with APNHE observations (≥ 2 cm) from CT/MRI were prospectively enrolled in this IRB-approved study and underwent CEUS. All observations were assessed by LI-RADS for CT/MRI and CEUS. The hemodynamic findings were compared. The mean follow-up period was 11.8 ± 2.1 months. Reference standard was made on 34-APNHE observations based on biopsy (n = 2), surgery (n = 2), and follow-up image (n = 30). RESULTS The median of observation size was 2.3 cm (IQR 2.0-2.5 cm). Among the 43-APNHE observations, 12-observations (27.9%) were further presented as arterial phase hyperenhancement (APHE) in CEUS with early (n = 1, CEUS LR-M), late (n = 10, CEUS LR-5), or no (n = 1, CEUS LR-4) washout. Compared to CT, CEUS presented concordant enhancement patterns in 16 (44.4%) in AP and 20 (55.6%) in PVP, respectively. Similarly, 13 (59.1%) and 14 (63.6%) observations showed concordant enhancement patterns between CEUS and MRI in AP and PVP, respectively. Of the 34-APNHE observations with final diagnosis (hepatocellular carcinoma [HCC] n = 12; intrahepatic cholangiocarcinoma [IHCC], n = 1; non-malignancy, n = 21), 4 HCCs (33.3%) and 1 IHCC (100%) were additionally diagnosed by CEUS, while 1 non-malignant lesion (4.5%) was misdiagnosed as HCC by CEUS. CONCLUSION Adding CEUS to APNHE observations from CT/MRI would be useful not only for definitely diagnosing HCC (CEUS LR-5) but also for other malignancies (CEUS LR-M). The discordance of dynamic features between the LI-RADS for CEUS and CT/MRI may reflect the different properties of contrast media, although the systems are not interchangeable.
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Affiliation(s)
- Hyo-Jin Kang
- Department of Radiology, Seoul National University Hospital, Seoul, 03080, South Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, 03080, South Korea
| | - Jung Hoon Kim
- Department of Radiology, Seoul National University Hospital, Seoul, 03080, South Korea.
- Department of Radiology, Seoul National University College of Medicine, Seoul, 03080, South Korea.
- Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, 03080, South Korea.
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, 03080, South Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, 03080, South Korea
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, Seoul, 03080, South Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, 03080, South Korea
- Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, 03080, South Korea
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127
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Hu J, Bhayana D, Burak KW, Wilson SR. Resolution of indeterminate MRI with CEUS in patients at high risk for hepatocellular carcinoma. Abdom Radiol (NY) 2020; 45:123-133. [PMID: 31440801 DOI: 10.1007/s00261-019-02181-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE To show the contribution of CEUS to characterization of indeterminate MRI observations in high-risk patients for hepatocellular carcinoma (HCC). METHODS From July to December 2015, 42 consecutive patients referred to CEUS with indeterminate MRI scans comprise our study cohort. There are 50 indeterminate nodule-like observations and 10 arterial phase hyperenhancing foci, suggesting pseudolesions/arterio-portal shunts. MRI and CEUS lesions are classified according to their enhancement features in all phases and Liver Imaging and Reporting Data System (LI-RADS) in a blind read format. Clinical pathologic correlation and 24 months follow-up are performed. RESULTS A majority, 37/50 (74%), of indeterminate nodule-like observations have arterial phase enhancement without washout on MRI. CEUS further characterizes enhancement and shows washout in 14/37 (38%). In total, CEUS diagnoses 16 malignant lesions in 14 patients including 14 HCC and 2 ICC. 12/16 (75%) malignant lesions are confirmed by biopsy or follow-up. Ultrasound identification of a nodule differentiates real nodules from pseudolesions. Of the ten suspected arterial-portal shunts on MRI, two show a real nodule on ultrasound, confirmed as an HCC and a regenerative nodule. 15/42 (36%) patients have LI-RADS escalated from LR-3 or 4 on MRI to LR-4 or 5 on CEUS. Overall, the sensitivity of CEUS is (13/16) 81.3% and specificity is (37/37) 100% for malignant diagnosis. CONCLUSION Grayscale ultrasound detects true nodules. Dynamic CEUS detects and characterizes washout, correctly predicting HCC. CEUS is complimentary to MRI and can serve as a problem-solving tool when MRI is indeterminate.
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128
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Millet JD, Kamaya A, Choi HH, Dahiya N, Murphy PM, Naveed MZ, O’Boyle M, Parra LA, Perez MG, Pirmoazen AM, Rodgers SK, Wasnik AP, Maturen KE. ACR Ultrasound Liver Reporting and Data System: Multicenter Assessment of Clinical Performance at One Year. J Am Coll Radiol 2019; 16:1656-1662. [DOI: 10.1016/j.jacr.2019.05.020] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 05/16/2019] [Accepted: 05/17/2019] [Indexed: 12/19/2022]
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Abstract
Contrast material-enhanced (CE) US is a recognized imaging tool in the characterization of focal liver lesions and uses microbubble contrast agents to increase signal backscattering from the blood. The European Federation of Societies for Ultrasound in Medicine and Biology and the World Federation for Ultrasound in Medicine and Biology strongly recommend the use of CE US in the characterization of hepatocellular nodules in individuals with liver cirrhosis. CE US was recently approved by the Food and Drug Administration for liver indications in adult and pediatric patients. CE US Liver Imaging Reporting and Data System (LI-RADS) criteria were recently proposed by the American College of Radiology and include eight distinct diagnostic categories: LR-1 (definitely benign), LR-2 (probably benign), LR-3 (intermediate malignancy probability), LR-4 (probably hepatocellular carcinoma [HCC]), LR-5 (definitely HCC), LR-NC (cannot be categorized due to image degradation), LR-TIV (tumor in vein), and LR-M (probably or definitely malignant but not HCC specific). CE US LI-RADS criteria can be used to produce a structured report for HCC diagnosis. However, the variability of US equipment in terms of sensitivity to microbubble signal, interreader variability, large number of HCC nodules classified as LR-3, and wide washout temporal range for LR-M observations are limitations.
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Affiliation(s)
- Emilio Quaia
- From the Department of Radiology, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
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130
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Pascual S, Miralles C, Bernabé JM, Irurzun J, Planells M. Surveillance and diagnosis of hepatocellular carcinoma: A systematic review. World J Clin Cases 2019; 7:2269-2286. [PMID: 31531321 PMCID: PMC6718786 DOI: 10.12998/wjcc.v7.i16.2269] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 07/04/2019] [Accepted: 07/27/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) appears in most of cases in patients with advanced liver disease and is currently the primary cause of death in this population. Surveillance of HCC has been proposed and recommended in clinical guidelines to obtain earlier diagnosis, but it is still controversial and is not accepted worldwide.
AIM To review the actual evidence to support the surveillance programs in patients with cirrhosis as well as the diagnosis procedure.
METHODS Systematic review of recent literature of surveillance (tools, interval, cost-benefit, target population) and the role of imaging diagnosis (radiological non-invasive diagnosis, optimal modality and agents) of HCC.
RESULTS The benefits of surveillance of HCC, mainly with ultrasonography, have been assessed in several prospective and retrospective analysis, although the percentage of patients diagnosed in surveillance programs is still low. Surveillance of HCC permits diagnosis in early stages allows better access to curative treatment and increases life expectancy in patients with cirrhosis. HCC is a tumor with special radiological characteristics in computed tomography and magnetic resonance imaging, which allows highly accurate diagnosis without routine biopsy confirmation. The actual recommendation is to perform biopsy only in indeterminate nodules.
CONCLUSION The evidence supports the recommendation of performing surveillance of HCC in patients with cirrhosis susceptible of treatment, using ultrasonography every 6 mo. The diagnosis evaluation of HCC can be established based on noninvasive imaging criteria in patients with cirrhosis.
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Affiliation(s)
- Sonia Pascual
- Liver Unit, Hospital General Universitario de Alicante, Alicante 03010, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, CIBEREHD, Alicante 03010, Spain
| | - Cayetano Miralles
- Liver Unit, Hospital General Universitario de Alicante, Alicante 03010, Spain
| | - Juan M Bernabé
- Radiology Department, Hospital General Universitario de Alicante, Alicante 03010, Spain
| | - Javier Irurzun
- Radiology Department, Hospital General Universitario de Alicante, Alicante 03010, Spain
| | - Mariana Planells
- Radiology Department, Hospital General Universitario de Alicante, Alicante 03010, Spain
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131
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Li J, Needleman L, Liu JB, Lyshchik A, Forsberg F, Stanczak M, McAlister J, Eisenbrey J. Influence of Data Parsing on Contrast Enhanced Ultrasound Exams. Acad Radiol 2019; 26:1030-1039. [PMID: 30316706 DOI: 10.1016/j.acra.2018.09.013] [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: 07/26/2018] [Revised: 09/17/2018] [Accepted: 09/18/2018] [Indexed: 10/28/2022]
Abstract
RATIONALE AND OBJECTIVES To explore the influence of data parsing (either selection of frames at set time intervals or by an experienced sonographer) of contrast-enhanced ultrasound (CEUS) exams on physician diagnoses and confidence levels. MATERIALS AND METHODS Forty consecutive CEUS exams consisting of 10 cases each of indeterminate liver lesions, indeterminate renal lesions, renal cell carcinoma postablation follow-up, and hepatocellular carcinoma postchemoembolization follow-up were selected for analysis. Exams were parsed into sets consisting of five images selected by the performing sonographer and sets containing systematically stored frames every 10, 30, and 60 seconds. Three blinded physicians then reviewed the cine loop and each set of images in randomized order and provided a diagnosis and confidence level. RESULTS For all clinical applications investigated, no statistically significant differences in diagnostic performance measures or reader confidence were observed between review of the entire cine loop and images selected by the performing sonographer (p > 0.42). Diagnostic performance at 10-second intervals did not show statically significant changes compared to the full cine loop review for all applications (p > 0.18), although reader confidence decreased. At 30-60-second intervals, both diagnostic performance and reader confidence showed statistically significant reduction compared to review of the full cine loop (p < 0.045). CONCLUSIONS Transfer and review of large cine loops from CEUS exams represent a potential barrier to adoption within the United States workflows. This study demonstrates that images selected by a performing trained sonographer may provide the same value without the review time and data storage costs needed for full cine loop review. Parsing by time points reduced reader confidence and diagnostic performance.
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Bartolotta TV, Taibbi A, Midiri M, Lagalla R. Contrast-enhanced ultrasound of hepatocellular carcinoma: where do we stand? Ultrasonography 2019; 38:200-214. [PMID: 31006227 PMCID: PMC6595127 DOI: 10.14366/usg.18060] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 02/09/2019] [Accepted: 02/25/2019] [Indexed: 12/12/2022] Open
Abstract
Contrast-enhanced ultrasound (CEUS) represents a significant breakthrough in ultrasonography (US), and it is being increasingly used for the evaluation of focal liver lesions (FLLs). CEUS is unique in that it allows non-invasively assessment of liver perfusion in real time throughout the vascular phase, which has led to dramatic improvements in the diagnostic accuracy of US in the detection and characterization of FLLs, the choice of therapeutic procedures, and the evaluation of response. Currently, CEUS is included as a part of the suggested diagnostic work-up of FLLs, including in cirrhotic patients with hepatocellular carcinoma, resulting in better patient management and cost-effective delivery of therapy.
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Affiliation(s)
| | - Adele Taibbi
- Department of Radiology, University of Palermo, Palermo, Italy
| | - Massimo Midiri
- Department of Radiology, University of Palermo, Palermo, Italy
| | - Roberto Lagalla
- Department of Radiology, University of Palermo, Palermo, Italy
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133
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Bakas S, Doulgerakis-Kontoudis M, Hunter GJA, Sidhu PS, Makris D, Chatzimichail K. Evaluation of Indirect Methods for Motion Compensation in 2-D Focal Liver Lesion Contrast-Enhanced Ultrasound (CEUS) Imaging. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:1380-1396. [PMID: 30952468 DOI: 10.1016/j.ultrasmedbio.2019.01.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Revised: 01/05/2019] [Accepted: 01/27/2019] [Indexed: 05/14/2023]
Abstract
This study investigates the application and evaluation of existing indirect methods, namely point-based registration techniques, for the estimation and compensation of observed motion included in the 2-D image plane of contrast-enhanced ultrasound (CEUS) cine-loops recorded for the characterization and diagnosis of focal liver lesions (FLLs). The value of applying motion compensation in the challenging modality of CEUS is to assist in the quantification of the perfusion dynamics of an FLL in relation to its parenchyma, allowing for a potentially accurate diagnostic suggestion. Towards this end, this study also proposes a novel quantitative multi-level framework for evaluating the quantification of FLLs, which to the best of our knowledge remains undefined, notwithstanding many relevant studies. Following quantitative evaluation of 19 indirect algorithms and configurations, while also considering the requirement for computational efficiency, our results suggest that the "compact and real-time descriptor" (CARD) is the optimal indirect motion compensation method in CEUS.
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Affiliation(s)
- Spyridon Bakas
- Digital Information Research Centre (DIRC), School of Computer Science & Mathematics, Faculty of Science, Engineering and Computing (SEC), Kingston University, London, United Kingdom; Center for Biomedical Image Computing and Analytics (CBICA), Perelman School of Medicine, University of Pennsylvania, Richards Medical Research Laboratories, Hamilton Walk, Philadelphia, Pennsylvania, USA.
| | - Matthaios Doulgerakis-Kontoudis
- Digital Information Research Centre (DIRC), School of Computer Science & Mathematics, Faculty of Science, Engineering and Computing (SEC), Kingston University, London, United Kingdom; Medical Imaging and Image Interpretation Group, School of Computer Science, University of Birmingham, Edgbaston, United Kingdom
| | - Gordon J A Hunter
- Digital Information Research Centre (DIRC), School of Computer Science & Mathematics, Faculty of Science, Engineering and Computing (SEC), Kingston University, London, United Kingdom
| | - Paul S Sidhu
- Department of Radiology, King's College Hospital, London, United Kingdom
| | - Dimitrios Makris
- Digital Information Research Centre (DIRC), School of Computer Science & Mathematics, Faculty of Science, Engineering and Computing (SEC), Kingston University, London, United Kingdom
| | - Katerina Chatzimichail
- Radiology & Imaging Research Centre, Evgenidion Hospital, National and Kapodistrian University, Ilisia, Athens, Greece
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Fu R, Qiu T, Ling W, Lu Q, Luo Y. Nodular focal fat sparing of liver mimicking hepatocellular carcinoma in contrast-enhanced ultrasound: A case report. Medicine (Baltimore) 2019; 98:e15431. [PMID: 31145272 PMCID: PMC6708808 DOI: 10.1097/md.0000000000015431] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 03/21/2019] [Accepted: 04/02/2019] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION Focal fatty sparing is a manifestation of fatty liver. Nodular focal fatty sparing of liver sometimes is a mimicker of malignant lesion, especially metastatic tumor. There are some case reports about this kind of tricks revealed by computed tomography (CT) and magnetic resonance imaging. However, few reports described nodular focal sparing of liver presenting an enhancement mode of hepatocellular carcinoma (HCC) in contrast-enhanced ultrasound (CEUS). PATIENT CONCERNS A 37-year-old male had a long history of alcohol abuse and hepatitis B virus infection. Routine blood examination showed an elevation of triglyceride, and tumor markers were unremarkable. Conventional ultrasound indicated a diffuse fatty liver with a hypoechoic nodular lesion. CEUS revealed hyperenhancement in arterial phase and washout in late phase of this hypoechoic lesion. Contrast-enhanced CT showed a similar enhancement mode of the mass with CEUS. DIAGNOSIS A clinical diagnosis of HCC was made. Then, liver resection was conducted. Postoperative histopathologic and immunohistochemical results of the lesion revealed no presence of tumor cells except for heterogeneous hepatic steatosis. So a final diagnosis of hepatic focal fatty sparing was determined. INTERVENTIONS Liver resection was conducted according to the clinical diagnosis of HCC. OUTCOMES After general postoperative administration, the patient was told to discharge. Then, he had been undergoing regular serological tests and imaging examinations in our hospital for 39 months and found no manifestation of liver tumor. CONCLUSION According to guidelines, it is typical that hepatic focal fatty change (FFC) presents a mode of persistent iso-enhancement in CEUS. However, atypical enhancement presence of FFC in imaging examinations may occur and lead to misdiagnosis, which calls for more attention.
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Necas M, Keating J, Abbott G, Curtis N, de Ryke R, Hill G. How to set-up and perform contrast-enhanced ultrasound. Australas J Ultrasound Med 2019; 22:86-95. [PMID: 34760544 PMCID: PMC8411709 DOI: 10.1002/ajum.12135] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Contrast-enhanced ultrasound (CEUS) is an important part of current ultrasound imaging practice. Sonographers, radiologists and other sonologists should consider CEUS as a standard tool in the diagnostic toolbox of ultrasound and utilise it liberally to solve a wide range of imaging problems whilst reducing the need to resort to CT or MRI. Setting up a CEUS service is within easy reach of all motivated practitioners. The initial process requires assessment of the demand for CEUS, ensuring staff readiness, preparing administrative processes and obtaining CEUS supplies. The CEUS examination includes gaining informed consent, ensuring authorisation to administer contrast agent (preferably by means of a standing order), conventional pre-scan of the area of interest, insertion of a peripheral IV cannula, preparation of the contrast agent, initiation of the contrast imaging mode, administration of the contrast agent, performance of the examination and aftercare. A number of other important considerations are discussed including cannulation and IV certification, scopes of practice for sonographers performing CEUS, contrast dosing, scheduling, training, interpretation, reporting and quality control.
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Affiliation(s)
- Martin Necas
- Department of UltrasoundWaikato HospitalPembroke StreetHamiltonNew Zealand
| | - Jane Keating
- Department of UltrasoundThe Royal Melbourne Hospital300 Grattan StParkvilleVictoriaAustralia
| | - Grant Abbott
- Vascular LabWaikato HospitalPembroke StreetHamiltonNew Zealand
| | - Nicole Curtis
- Vascular LabWaikato HospitalPembroke StreetHamiltonNew Zealand
| | - Rex de Ryke
- Christchurch HospitalRiccarton AvenueChristchurchNew Zealand
| | - Gerry Hill
- Otago Vascular DiagnosticsDepartment of SurgeryDunedin School of MedicineDunedinNew Zealand
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Rodgers SK, Fetzer DT, Gabriel H, Seow JH, Choi HH, Maturen KE, Wasnik AP, Morgan TA, Dahiya N, O’Boyle MK, Kono Y, Sirlin CB, Kamaya A. Role of US LI-RADS in the LI-RADS Algorithm. Radiographics 2019; 39:690-708. [PMID: 31059393 PMCID: PMC6542628 DOI: 10.1148/rg.2019180158] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 06/26/2018] [Accepted: 07/13/2018] [Indexed: 12/25/2022]
Abstract
The US Liver Imaging Reporting and Data System (LI-RADS) was released in 2017 and is the newest of the four American College of Radiology (ACR) LI-RADS algorithms. US LI-RADS provides standardized terminology, technical recommendations, and a reporting framework for US examinations performed for screening or surveillance in patients at risk for developing hepatocellular carcinoma (HCC). The appropriate patient population for screening and surveillance includes individuals who are at risk for developing HCC but do not have known or suspected cancer. This includes patients with cirrhosis from any cause and subsets of patients with chronic hepatitis B virus infection in the absence of cirrhosis. In an HCC screening or surveillance study, US LI-RADS recommends assigning two scores that apply to the entire study: the US category, which determines follow-up, and a visualization score, which communicates the expected level of sensitivity of the examination but does not affect management. Three US categories are possible: US-1 negative, a study with no evidence of HCC; US-2 subthreshold, a study in which an observation less than 10 mm is depicted that is not definitely benign; and US-3 positive, a study in which an observation greater than or equal to 10 mm or a new thrombus in vein is identified, for which diagnostic contrast material-enhanced imaging is recommended. Three visualization scores are possible: A (no or minimal limitations), B (moderate limitations), and C (severe limitations). ©RSNA, 2019.
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Affiliation(s)
- Shuchi K. Rodgers
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - David T. Fetzer
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Helena Gabriel
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - James H. Seow
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Hailey H. Choi
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Katherine E. Maturen
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Ashish P. Wasnik
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Tara A. Morgan
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Nirvikar Dahiya
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Mary K. O’Boyle
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Yuko Kono
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Claude B. Sirlin
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
| | - Aya Kamaya
- From the Department of Radiology, Einstein Medical Center, 5501 Old York Rd, Levy Ground, Philadelphia, PA 19141 (S.K.R.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (H.G.); Department of Radiology, Royal Perth Hospital, Perth, Australia (J.H.S.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (H.H.C.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (K.E.M., A.P.W.); Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (T.A.M.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (N.D.); Department of Radiology (M.K.O., Y.K.) and Liver Imaging Group, Department of Radiology (C.B.S.), University of California–San Diego Medical Center, San Diego, Calif; and Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.)
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137
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Navin PJ, Venkatesh SK. Hepatocellular Carcinoma: State of the Art Imaging and Recent Advances. J Clin Transl Hepatol 2019; 7:72-85. [PMID: 30944823 PMCID: PMC6441649 DOI: 10.14218/jcth.2018.00032] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 12/31/2018] [Accepted: 01/04/2019] [Indexed: 02/07/2023] Open
Abstract
The incidence of hepatocellular carcinoma (HCC) is increasing, with this trend expected to continue to the year 2030. Hepatocarcinogenesis follows a predictable course, which makes adequate identification and surveillance of at-risk individuals central to a successful outcome. Moreover, imaging is central to this surveillance, and ultimately to diagnosis and management. Many liver study groups throughout Asia, North America and Europe advocate a surveillance program for at-risk individuals to allow early identification of HCC. Ultrasound is the most commonly utilized imaging modality. Many societies offer guidelines on how to diagnose HCC. The Liver Image Reporting and Data System (LIRADS) was introduced to standardize the acquisition, interpretation, reporting and data collection of HCC cases. The LIRADS advocates diagnosis using multiphase computed tomography or magnetic resonance imaging (MRI) imaging. The 2017 version also introduces contrast-enhanced ultrasound as a novel approach to diagnosis. Indeed, imaging techniques have evolved to improve diagnostic accuracy and characterization of HCC lesions. Newer techniques, such as T1 mapping, intravoxel incoherent motion analysis and textural analysis, assess specific characteristics that may help grade the tumor and guide management, allowing for a more personalized approach to patient care. This review aims to analyze the utility of imaging in the surveillance and diagnosis of HCC and to assess novel techniques which may increase the accuracy of imaging and determine optimal treatment strategies.
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138
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Fetzer DT, Rodgers SK, Seow JH, Dawkins AA, Joshi G, Gabriel H, Kamaya A. Ultrasound Evaluation in Patients at Risk for Hepatocellular Carcinoma. Radiol Clin North Am 2019; 57:563-583. [PMID: 30928078 DOI: 10.1016/j.rcl.2019.01.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
In the context of chronic liver disease (CLD), sonographic features of hepatic steatosis, cirrhosis, and portal hypertension are discussed and examples are provided. The impact of CLD and hepatocellular carcinoma (HCC) is introduced, providing the rationale for a robust HCC screening and surveillance program for at-risk patients. The American College of Radiology Liver Imaging Reporting and Data System algorithms for screening and surveillance by ultrasound and for the definitive diagnosis of HCC by contrast-enhanced ultrasound are explained, with imaging examples provided. Contrast-enhanced ultrasound technique, limitations, and pitfalls also are introduced.
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Affiliation(s)
- David T Fetzer
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9316, USA.
| | - Shuchi K Rodgers
- Abdominal Radiology, Department of Radiology, Sidney Kimmel Medical College, Thomas Jefferson University, Einstein Medical Center, 5501 Old York Road, Philadelphia, PA 19141, USA
| | - James H Seow
- Department of Radiology, Royal Perth Hospital, Wellington Street, Perth, Western Australia 6000, Australia
| | - Adrian A Dawkins
- Department of Radiology, University of Kentucky, 800 Rose Street, Room HX-318A, Lexington, KY 40536-0293, USA
| | - Gayatri Joshi
- Department of Radiology and Imaging Sciences, Emory University Hospital Midtown, Emory University School of Medicine, 550 Peachtree Street Northeast, Atlanta, GA 30308, USA
| | - Helena Gabriel
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 676 North St. Clair Avenue, Suite 800, Chicago, IL 60611, USA
| | - Aya Kamaya
- Department of Radiology, Stanford University Medical Center, 300 Pasteur Drive H1307, Stanford, CA 94305, USA
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139
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Elsayes KM, Kielar AZ, Chernyak V, Morshid A, Furlan A, Masch WR, Marks RM, Kamaya A, Do RKG, Kono Y, Fowler KJ, Tang A, Bashir MR, Hecht EM, Jambhekar K, Lyshchik A, Rodgers SK, Heiken JP, Kohli M, Fetzer DT, Wilson SR, Kassam Z, Mendiratta-Lala M, Singal AG, Lim CS, Cruite I, Lee J, Ash R, Mitchell DG, McInnes MDF, Sirlin CB. LI-RADS: a conceptual and historical review from its beginning to its recent integration into AASLD clinical practice guidance. J Hepatocell Carcinoma 2019; 6:49-69. [PMID: 30788336 PMCID: PMC6368120 DOI: 10.2147/jhc.s186239] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The Liver Imaging Reporting and Data System (LI-RADS®) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver observations in individuals at high risk for hepatocellular carcinoma (HCC). LI-RADS is supported and endorsed by the American College of Radiology (ACR). Upon its initial release in 2011, LI-RADS applied only to liver observations identified at CT or MRI. It has since been refined and expanded over multiple updates to now also address ultrasound-based surveillance, contrast-enhanced ultrasound for HCC diagnosis, and CT/MRI for assessing treatment response after locoregional therapy. The LI-RADS 2018 version was integrated into the HCC diagnosis, staging, and management practice guidance of the American Association for the Study of Liver Diseases (AASLD). This article reviews the major LI-RADS updates since its 2011 inception and provides an overview of the currently published LI-RADS algorithms.
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Affiliation(s)
- Khaled M Elsayes
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA,
| | - Ania Z Kielar
- Department of Radiology, University of Toronto, ON, Canada
| | | | - Ali Morshid
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA,
| | - Alessandro Furlan
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - William R Masch
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Robert M Marks
- Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Aya Kamaya
- Department of Radiology, Stanford University Medical Center, Stanford, CA, USA
| | - Richard K G Do
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yuko Kono
- Department of Radiology, University of California San Diego, CA, USA
| | - Kathryn J Fowler
- Department of Radiology, University of California San Diego, CA, USA
| | - An Tang
- Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada
| | - Mustafa R Bashir
- Department of Radiology, Center for Advanced Magnetic Resonance Development, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Elizabeth M Hecht
- Department of Radiology, Columbia University Medical Center, New York, NY, USA
| | - Kedar Jambhekar
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Andrej Lyshchik
- Department of Radiology, Einstein Medical Center, Philadelphia, PA, USA
| | - Shuchi K Rodgers
- Department of Radiology, Einstein Medical Center, Philadelphia, PA, USA
| | - Jay P Heiken
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Marc Kohli
- Department of Radiology, University of California San Francisco, CA, USA
| | - David T Fetzer
- Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Zahra Kassam
- Department of Diagnostic Imaging, Schulich School of Medicine, London, ON, Canada
| | | | - Amit G Singal
- Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, TX, USA
| | - Christopher S Lim
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada
| | - Irene Cruite
- Department of Radiology, Inland Imaging, Spokane, WA, USA
| | - James Lee
- Department of Radiology, University of Kentucky, Lexington, KY, USA
| | - Ryan Ash
- Department of Radiology, University of Kansas, Kansas City, KS, USA
| | - Donald G Mitchell
- Department of Radiology, Einstein Medical Center, Philadelphia, PA, USA
| | | | - Claude B Sirlin
- Department of Radiology, University of California San Diego, CA, USA
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140
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Dietrich CF, Tannapfel A, Jang HJ, Kim TK, Burns PN, Dong Y. Ultrasound Imaging of Hepatocellular Adenoma Using the New Histology Classification. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:1-10. [PMID: 30396597 DOI: 10.1016/j.ultrasmedbio.2018.06.015] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 06/20/2018] [Accepted: 06/25/2018] [Indexed: 06/08/2023]
Abstract
Hepatocellular adenoma is a rare benign liver tumor. Predisposing factors include hepatic storage diseases and some genetic conditions. A new histology-based classification has been proposed but to date, the corresponding ultrasound imaging features have not been reported. Here we review the new classification scheme and discuss the corresponding features on contrast-enhanced ultrasound imaging.
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Affiliation(s)
- Christoph F Dietrich
- Medizinische Klinik 2, Caritas-Krankenhaus Bad Mergentheim, Bad Mergentheim, Germany; Ultrasound Department, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | | | - Hyun-Jung Jang
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Tae Kyoung Kim
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Peter N Burns
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Yi Dong
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
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141
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Krishan S, Dhiman RK, Kalra N, Sharma R, Baijal SS, Arora A, Gulati A, Eapan A, Verma A, Keshava S, Mukund A, Deva S, Chaudhary R, Ganesan K, Taneja S, Gorsi U, Gamanagatti S, Madhusudan KS, Puri P, Shalimar, Govil S, Wadhavan M, Saigal S, Kumar A, Thapar S, Duseja A, Saraf N, Khandelwal A, Mukhopadyay S, Gulati A, Shetty N, Verma N. Joint Consensus Statement of the Indian National Association for Study of the Liver and Indian Radiological and Imaging Association for the Diagnosis and Imaging of Hepatocellular Carcinoma Incorporating Liver Imaging Reporting and Data System. J Clin Exp Hepatol 2019; 9:625-651. [PMID: 31695253 PMCID: PMC6823668 DOI: 10.1016/j.jceh.2019.07.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 07/12/2019] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the 6th most common cancer and the second most common cause of cancer-related mortality worldwide. There are currently no universally accepted practice guidelines for the diagnosis of HCC on imaging owing to the regional differences in epidemiology, target population, diagnostic imaging modalities, and staging and transplant eligibility. Currently available regional and national guidelines include those from the American Association for the Study of Liver Disease (AASLD), the European Association for the Study of the Liver (EASL), the Asian Pacific Association for the Study of the Liver, the Japan Society of Hepatology, the Korean Liver Cancer Study Group, Hong Kong, and the National Comprehensive Cancer Network in the United States. India with its large population and a diverse health infrastructure faces challenges unique to its population in diagnosing HCC. Recently, American Association have introduced a Liver Imaging Reporting and Data System (LIRADS, version 2017, 2018) as an attempt to standardize the acquisition, interpretation, and reporting of liver lesions on imaging and hence improve the coherence between radiologists and clinicians and provide guidance for the management of HCC. The aim of the present consensus was to find a common ground in reporting and interpreting liver lesions pertaining to HCC on imaging keeping LIRADSv2018 in mind.
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Affiliation(s)
- Sonal Krishan
- Department of Radiology, Medanta Hospital, Gurgaon, India
| | - Radha K. Dhiman
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India,Address for correspondence: Radha Krishan Dhiman, MD, DM, FACG, FRCP, FAASLD, Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Navin Kalra
- Department of Radiology, Postgraduate Institute Of Medical Education and Research, Chandigarh, India
| | - Raju Sharma
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Sanjay S. Baijal
- Department of Diagnostic and Intervention Radiology, Medanta Hospital, Gurgaon, India
| | - Anil Arora
- Institute Of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Gangaram Hospital, New Delhi, India
| | - Ajay Gulati
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Anu Eapan
- Department of Radiology, Christian Medical College, Vellore, India
| | - Ashish Verma
- Department of Radiology, Banaras Hindu University, Varanasi, India
| | - Shyam Keshava
- Department of Radiology, Christian Medical College, Vellore, India
| | - Amar Mukund
- Department of Intervention Radiology, Institute of liver and biliary Sciences, New Delhi, India
| | - S. Deva
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Ravi Chaudhary
- Department of Radiology, Medanta Hospital, Gurgaon, India
| | | | - Sunil Taneja
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Ujjwal Gorsi
- Department of Radiology, Postgraduate Institute Of Medical Education and Research, Chandigarh, India
| | | | - Kumble S. Madhusudan
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Pankaj Puri
- Institute Of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Gangaram Hospital, New Delhi, India
| | - Shalimar
- Department of GastroEnterology, All India Institute of Medical Sciences, New Delhi, India
| | | | - Manav Wadhavan
- Institute of Digestive and Liver Diseases, BLK Hospital, Delhi, India
| | - Sanjiv Saigal
- Department of Hepatology, Medanta Hospital, Gurgaon, India
| | - Ashish Kumar
- Institute Of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Gangaram Hospital, New Delhi, India
| | - Shallini Thapar
- Department of Radiology, Institute of liver and biliary Sciences, New Delhi, India
| | - Ajay Duseja
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Neeraj Saraf
- Department of Hepatology, Medanta Hospital, Gurgaon, India
| | | | | | - Ajay Gulati
- Department of Radiology, Postgraduate Institute Of Medical Education and Research, Chandigarh, India
| | - Nitin Shetty
- Department of Radiology, Tata Memorial Hospital, Kolkata, India
| | - Nipun Verma
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
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142
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Chen LD, Ruan SM, Lin Y, Liang JY, Shen SL, Hu HT, Huang Y, Li W, Wang Z, Xie XY, Lu MD, Kuang M, Wang W. Comparison between M-score and LR-M in the reporting system of contrast-enhanced ultrasound LI-RADS. Eur Radiol 2018; 29:4249-4257. [PMID: 30569182 DOI: 10.1007/s00330-018-5927-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 10/30/2018] [Accepted: 11/28/2018] [Indexed: 12/15/2022]
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143
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Abstract
Contrast-enhanced ultrasound (CEUS) has evolved from the use of agitated saline to second generation bioengineered microbubbles designed to withstand insonation with limited destruction. While only one of these newer agents is approved by the Food and Drug Administration for use outside echocardiography, interventional radiologists are increasingly finding off-label uses for ultrasound contrast agents. Notably, these agents have an extremely benign safety profile with no hepatic or renal toxicities and no radiation exposure. Alongside diagnostic applications, CEUS has begun to develop its own niche within the realm of interventional oncology. Certainly, the characterization of focal solid organ lesions (such as hepatic and renal lesions) by CEUS has been an important development. However, interventional oncologists are finding that the dynamic and real-time information afforded by CEUS can improve biopsy guidance, ablation therapy, and provide early evidence of tumor viability after locoregional therapy. Even more novel uses of CEUS include lymph node mapping and sentinel lymph node localization. Critical areas of research still exist. The purpose of this article is to provide a narrative review of the emerging roles of CEUS in interventional oncology.
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144
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Chapman WC, Korenblat KM, Fowler KJ, Saad N, Khan AS, Subramanian V, Doyle MBM, Dageforde LA, Tan B, Grierson P, Lin Y, Xu M, Brunt EM. Hepatocellular carcinoma: Where are we in 2018? Curr Probl Surg 2018; 55:450-503. [PMID: 30526875 DOI: 10.1067/j.cpsurg.2018.10.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- William C Chapman
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO.
| | - Kevin M Korenblat
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | | | - Nael Saad
- University of Rochester, Rochester, NY
| | - Adeel S Khan
- Division of Abdominal Transplant Surgery, Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Vijay Subramanian
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Maria B Majella Doyle
- Barnes-Jewish Hospital, St. Louis Children's Hospital, Washington University School of Medicine, St. Louis, MO
| | - Leigh Anne Dageforde
- Harvard Medical School, Division of Transplant Surgery, Massachusetts General Hospital, Boston, MA
| | - Benjamin Tan
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Patrick Grierson
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Yiing Lin
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Min Xu
- Department of Surgery, Washington University School of Medicine, St. Louis, MO
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145
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Chernyak V, Fowler KJ, Kamaya A, Kielar AZ, Elsayes KM, Bashir MR, Kono Y, Do RK, Mitchell DG, Singal AG, Tang A, Sirlin CB. Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients. Radiology 2018; 289:816-830. [PMID: 30251931 DOI: 10.1148/radiol.2018181494] [Citation(s) in RCA: 761] [Impact Index Per Article: 108.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) is composed of four individual algorithms intended to standardize the lexicon, as well as reporting and care, in patients with or at risk for hepatocellular carcinoma in the context of surveillance with US; diagnosis with CT, MRI, or contrast material-enhanced US; and assessment of treatment response with CT or MRI. This report provides a broad overview of LI-RADS, including its historic development, relationship to other imaging guidelines, composition, aims, and future directions. In addition, readers will understand the motivation for and key components of the 2018 update.
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Affiliation(s)
- Victoria Chernyak
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Kathryn J Fowler
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Aya Kamaya
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Ania Z Kielar
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Khaled M Elsayes
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Mustafa R Bashir
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Yuko Kono
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Richard K Do
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Donald G Mitchell
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Amit G Singal
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - An Tang
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
| | - Claude B Sirlin
- From the Department of Radiology, Montefiore Medical Center, 111 E 210th St, Bronx, NY 10467 (V.C.); Mallinckrodt Institute of Radiology, Washington University, School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.); Department of Radiology, Duke University Medical Center, Durham, NC (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Medicine and Radiology (Y.K.), and Liver Imaging Group, Department of Radiology (C.B.S.), University of California-San Diego, San Diego, Calif; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.D.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas Tex (A.G.S.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada (A.T.)
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146
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Gupta M, Gabriel H, Miller FH. Role of Imaging in Surveillance and Diagnosis of Hepatocellular Carcinoma. Gastroenterol Clin North Am 2018; 47:585-602. [PMID: 30115439 DOI: 10.1016/j.gtc.2018.04.013] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
The prognosis for hepatocellular carcinoma (HCC) is dependent on tumor stage at diagnosis, with curative treatment options more available to early-detected HCCs. Professional organizations have produced HCC screening guidelines in at-risk groups, with ultrasound the most commonly used screening tool and increased interest in MRI in specific populations. HCC may be diagnosed by imaging features alone and have been universally incorporated into management guidelines. The radiology community has standardized imaging criteria for HCC with the development of the Liver Imaging Reporting and Data System, which has expanded to incorporate computed tomography, MR, and contrast-enhanced ultrasound for diagnostic purposes.
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Affiliation(s)
- Mohit Gupta
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, 676 North Saint Clair Street, Suite 800, Chicago, IL 60611, USA
| | - Helena Gabriel
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, 676 North Saint Clair Street, Suite 800, Chicago, IL 60611, USA
| | - Frank H Miller
- Body Imaging Section and Fellowship Program, MRI, Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, 676 North Saint Clair Street, Suite 800, Chicago, IL 60611, USA.
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147
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Dietrich CF, Tana C, Caraiani C, Dong Y. Contrast enhanced ultrasound (CEUS) imaging of solid benign focal liver lesions. Expert Rev Gastroenterol Hepatol 2018; 12:479-489. [PMID: 29658347 DOI: 10.1080/17474124.2018.1464389] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 04/10/2018] [Indexed: 02/06/2023]
Abstract
Ultrasound is well accepted worldwide for imaging of the liver. Absences of radiation exposure, low cost and large diffusion are some of the advantages that make this technique the first to be used in the assessment of focal liver lesions (FLL). Areas covered: Contrast enhanced ultrasound (CEUS) has been introduced more than twenty years ago, and its detection rate is comparable to that of contrast enhanced magnetic resonance imaging (CEMRI) and contrast enhanced computed tomography (CECT). In this narrative review, we discuss the main CEUS features of benign liver lesions and controversies in published results including the gold standard chosen and the quality and knowledge of the preferred techniques. Expert commentary: CEUS is safe and allows an immediate evaluation of the nature of FLL. CEUS permits differentiation between malignant and benign FLL in healthy liver parenchyma by analysing the arterial, portal venous and late phases. CEMRI and CECT are reliable to characterize FLL but higher costs, radiation exposure, nephrotoxicity (in particular for CECT) and absence of real time imaging limit the appropriate evaluation of FLL. Therefore CEUS can be preferred in most clinical situations, and when results are unclear or suggestive for malignant FLL, biopsy and histological examination can be directly initiated avoiding unnecessary additional imaging.
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Affiliation(s)
- Christoph F Dietrich
- a Department of Internal Medicine 2 , Caritas Krankenhaus , Bad Mergentheim , Germany
- b Ultrasound Department , The First Affiliated Hospital of Zhengzhou University , Zhengzhou , China
| | - Claudio Tana
- c Internal Medicine and Critical Subacute Care Unit, Medicine Geriatric-Rehabilitation Department , University-Hospital of Parma , Parma , Italy
| | - Cosmin Caraiani
- d Department of Radiology , University of Medicine and Pharmacy "Iuliu Hatieganu" , Cluj-Napoca , Romania
| | - Yi Dong
- e Department of Ultrasound , Zhongshan Hospital, Fudan University , Shanghai , China
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148
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Dietrich CF, Potthoff A, Helmberger T, Ignee A, Willmann JK. [Contrast-enhanced ultrasound: Liver Imaging Reporting and Data System (CEUS LI-RADS)]. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2018; 56:499-506. [PMID: 29734449 DOI: 10.1055/s-0043-124874] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The American College of Radiology (ACR) endorsed the Liver Imaging Reporting and Data System (LI-RADS) for standardized reporting and data collection of computed tomography (CT) and magnetic resonance (MR) imaging for hepatocellular carcinoma (HCC) in high-risk patients (liver cirrhosis). The LI-RADS imaging criteria are used to classify 'observations' from 'definitely benign' (LR-1) to 'definitely HCC' (LR-5) based on imaging criteria.Coincidently, the recent approval in the United States of a microbubble contrast agent for liver imaging (Lumason®, known as SonoVue® in Europe and elsewhere), LI-RADS. is being expanded to include contrast-enhanced ultrasound (CEUS). An international working group was initiated in 2014. Herewith, the most current version of CEUS-LI-RADS is presented.
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Affiliation(s)
| | - Andrej Potthoff
- Department of Gastroenterology, Hepatology and Endocrinology, Medizinische Hochschule Hannover, Hannover, Germany
| | - Thomas Helmberger
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, Klinikum Bogenhausen, Munich, Germany
| | - Andre Ignee
- Department of Internal Medicine 2, Caritas-Krankenhaus Bad Mergentheim, Germany
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149
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Santillan C, Fowler K, Kono Y, Chernyak V. LI-RADS major features: CT, MRI with extracellular agents, and MRI with hepatobiliary agents. Abdom Radiol (NY) 2018; 43:75-81. [PMID: 28828680 DOI: 10.1007/s00261-017-1291-4] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) was designed to standardize the interpretation and reporting of observations seen on studies performed in patients at risk for development of hepatocellular carcinoma (HCC). The LI-RADS algorithm guides radiologists through the process of categorizing observations on a spectrum from definitely benign to definitely HCC. Major features are the imaging features used to categorize observations as LI-RADS 3 (intermediate probability of malignancy), LIRADS 4 (probably HCC), and LI-RADS 5 (definite HCC). Major features include arterial phase hyperenhancement, washout appearance, enhancing capsule appearance, size, and threshold growth. Observations that have few major criteria are assigned lower categories than those that have several, with the goal of preserving high specificity for the LR-5 category of Definite HCC. The goal of this paper is to discuss LI-RADS major features, including definitions, rationale for selection as major features, and imaging examples.
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