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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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Maurer MH. Diagnosis of hepatocellular carcinoma with MRI. Gut 2018; 67:1563-1565. [PMID: 29549097 DOI: 10.1136/gutjnl-2018-315999] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 03/05/2018] [Accepted: 03/06/2018] [Indexed: 12/14/2022]
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Renzulli M, Biselli M, Brocchi S, Granito A, Vasuri F, Tovoli F, Sessagesimi E, Piscaglia F, D'Errico A, Bolondi L, Golfieri R. New hallmark of hepatocellular carcinoma, early hepatocellular carcinoma and high-grade dysplastic nodules on Gd-EOB-DTPA MRI in patients with cirrhosis: a new diagnostic algorithm. Gut 2018; 67:1674-1682. [PMID: 29437912 DOI: 10.1136/gutjnl-2017-315384] [Citation(s) in RCA: 123] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 01/02/2018] [Accepted: 01/08/2018] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Many improvements have been made in diagnosing hepatocellular carcinoma (HCC), but the radiological hallmarks of HCC have remained the same for many years. We prospectively evaluated the imaging criteria of HCC, early HCC and high-grade dysplastic nodules (HGDNs) in patients under surveillance for chronic liver disease, using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) MRI and diffusion-weighted imaging. DESIGN Our study population included 420 nodules >1 cm in 228 patients. The MRI findings of each nodule were collected in all sequences/phases. The diagnosis of HCC was made according to the American Association for the Study of Liver Diseases (AASLD) criteria; all atypical nodules were diagnosed using histology. RESULTS A classification and regression tree was developed using three MRI findings which were independently significant correlated variables for early HCC/HCC, and the best sequence of their application in a new diagnostic algorithm (hepatobiliary hypointensity, arterial hyperintensity and diffusion restriction) was suggested. This algorithm demonstrated, both in the entire study population and for nodules ≤2 cm, higher sensitivity (96% [95% CI 93.5% to 97.6%] and 96.6% [95% CI 93.9% to 98.5%], P<0.001, respectively) and slightly lower specificity (91.8% [95% CI 88.6% to 94.1%], P=0.063, and 92.7% [95% CI 88.9% to 95.4%], P=0.125, respectively) than those of the AASLD criteria. Our new diagnostic algorithm also showed a very high sensitivity (94.7%; 95% CI 92% to 96.6%) and specificity (99.3%; 95% CI 97.7% to 99.8%) in classifying HGDN. CONCLUSION Our new diagnostic algorithm demonstrated significantly higher sensitivity and comparable specificity than those of the AASLD imaging criteria for HCC in patients with cirrhosis evaluated using Gd-EOB-DTPA MRI, even for lesions ≤2 cm. Moreover, this diagnostic algorithm allowed evaluating other lesions which could arise in a cirrhotic liver, such as early HCC and HGDN.
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Affiliation(s)
- Matteo Renzulli
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Maurizio Biselli
- Department of Medical and Surgical Sciences, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Stefano Brocchi
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Alessandro Granito
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Francesco Vasuri
- 'F Addarii' Institute of Oncology and Transplantation Pathology, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Francesco Tovoli
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Elisa Sessagesimi
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Fabio Piscaglia
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Antonietta D'Errico
- 'F Addarii' Institute of Oncology and Transplantation Pathology, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Luigi Bolondi
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Rita Golfieri
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
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Yoon JH, Lee JM, Lee YJ, Lee KB, Han JK. Added Value of sequentially performed gadoxetic acid-enhanced liver MRI for the diagnosis of small (10-19 mm) or atypical hepatic observations at contrast-enhanced CT: A prospective comparison. J Magn Reson Imaging 2018; 49:574-587. [PMID: 30102433 DOI: 10.1002/jmri.26199] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 05/02/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Small hepatocellular carcinomas (HCCs) often show atypical features at cross-sectional imaging, yet there is no preferred recommendation for the diagnosis or characterization of small observations (10-19 mm) at present. PURPOSE To determine the added value of sequentially performed gadoxetic acid-enhanced liver MRI for contrast-enhanced computed tomography (CECT)-detected small (10-19 mm) or atypical hepatic observations ≥20 mm in the diagnosis of HCC. STUDY TYPE Prospective, cross-sectional, intraindividual comparison. POPULATION In all, 110 patients at high risk of developing HCC. FIELD STRENGTH/SEQUENCE 1.5T and 3T/T1 -weighted imaging. ASSESSMENT Hepatic observations were classified into HCCs or benign non-HCCs based on imaging features of arterial phase hyperenhancement (APHE) and portal or delayed washout at CT or APHE and portal washout at MRI. Final diagnoses were established using a composite algorithm and diagnostic performances of MRI and CT were compared in all observations. In addition, in a subgroup of histologically confirmed observations and stable benign observations during follow-up (n = 94), sensitivity and specificity of MRI were compared between the aforementioned criteria and LR-5 of Liver Imaging Reporting and Data System v2014. STATISTICAL TEST χ2 test. RESULTS MRI provided higher sensitivity than CT (62.2% vs. 27.0%, P = 0.0001) while maintaining specificity (97.2%, each) at the per-patient level. Among 124 observations, 10-19 mm in size, MRI showed significantly higher sensitivity in diagnosing HCCs (62.5%, 50/80) than CT (25%, 20/80, P < 0.0001) with comparable specificity (97.7% [43/44], each). However, seven atypical observations (≥20 mm) at CT remained atypical at MRI. In the subgroup analysis, the diagnostic criteria of APHE and portal washout showed a significantly higher sensitivity (44.2%, 19/43) than LR-5 (23.2%, 10/43, P = 0.004), without compromising specificity (97.7% vs. 95.5%). DATA CONCLUSION Sequentially performed gadoxetic acid-enhanced MRI provided added value to CECT for the diagnosis of HCCs in small observations by improving sensitivity while maintaining specificity. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:574-587.
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Affiliation(s)
- Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,College of Medicine, Seoul, Republic of Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Yoon Jin Lee
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Kyung Bun Lee
- Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.,College of Medicine, Seoul, Republic of Koreas
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
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Wu H, Liang Y, Jiang X, Wei X, Liu Y, Liu W, Guo Y, Tang W. Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver. Medicine (Baltimore) 2018; 97:e12071. [PMID: 30142864 PMCID: PMC6112959 DOI: 10.1097/md.0000000000012071] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Accurate detection and characterization of focal liver lesions, including differentiation between malignant and benign lesions, are particularly important. The objective of this meta-analysis was to evaluate the parameters of intravoxel incoherent motion (IVIM), including apparent diffusion coefficient (ADC), pure molecular diffusion coefficient (D), perfusion-related diffusion coefficient (D*), and perfusion fraction (f) in differentiating focal liver lesions. METHODS IVIM method employed for focal liver lesion and the quality assessment of diagnostic studies were evaluated. Standardized mean differences and 95% confidence intervals were calculated. The heterogeneity was quantified with the I statistic. RESULTS The difference between groups was analyzed according to the I values from 6 different studies using fixed effects or random effects models. Significant differences in ADC (P < .001) and D (P < .001) were observed between benign and malignant lesions. Moreover, significant differences in ADC (P < .001), D (P < .001), and f (P = .01) were found between hemangioma and hepatocellular carcinoma (HCC). In addition, no significant difference was observed between the metastases and HCC. CONCLUSIONS D and ADC values were useful for the differentiation between benignity and malignancy; higher values of ADC, D, and f were observed in hemangioma compared to HCC. Nevertheless, IVIM did not result as the optimal approach for differentiation between the metastases and HCC.
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Affiliation(s)
- Hongzhen Wu
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong
- Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yingying Liang
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong
| | - Xinqing Jiang
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong
- Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xinhua Wei
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong
| | - Yu Liu
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong
| | - Weifeng Liu
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong
| | - Yuan Guo
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong
| | - Wenjie Tang
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong
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Galle PR, Forner A, Llovet JM, Mazzaferro V, Piscaglia F, Raoul JL, Schirmacher P, Vilgrain V. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma. J Hepatol 2018; 69:182-236. [PMID: 29628281 DOI: 10.1016/j.jhep.2018.03.019] [Citation(s) in RCA: 5925] [Impact Index Per Article: 846.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 03/20/2018] [Indexed: 02/06/2023]
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Roberts LR, Sirlin CB, Zaiem F, Almasri J, Prokop LJ, Heimbach JK, Murad MH, Mohammed K. Imaging for the diagnosis of hepatocellular carcinoma: A systematic review and meta-analysis. Hepatology 2018; 67:401-421. [PMID: 28859233 DOI: 10.1002/hep.29487] [Citation(s) in RCA: 325] [Impact Index Per Article: 46.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 07/31/2017] [Accepted: 08/29/2017] [Indexed: 12/07/2022]
Abstract
UNLABELLED Multiphasic computed tomography (CT) and magnetic resonance imaging (MRI) are both used for noninvasive diagnosis of hepatocellular carcinoma (HCC) in patients with cirrhosis. To determine if there is a relative diagnostic benefit of one over the other, we synthesized evidence regarding the relative performance of CT, extracellular contrast-enhanced MRI, and gadoxetate-enhanced MRI for diagnosis of HCC in patients with cirrhosis. We also assessed whether liver biopsy versus follow-up with the same versus alternative imaging is best for CT-indeterminate or MRI-indeterminate liver nodules in patients with cirrhosis. We searched multiple databases from inception to April 27, 2016, for studies comparing CT with extracellular contrast-enhanced MRI or gadoxetate-enhanced MRI in adults with cirrhosis and suspected HCC. Two reviewers independently selected studies and extracted data. Of 33 included studies, 19 were comprehensive, while 14 reported sensitivity only. For all tumor sizes, the 19 comprehensive comparisons showed significantly higher sensitivity (0.82 versus 0.66) and lower negative likelihood ratio (0.20 versus 0.37) for MRI over CT. The specificities of MRI versus CT (0.91 versus 0.92) and the positive likelihood ratios (8.8 versus 8.1) were not different. All three modalities performed better for HCCs ≥2 cm. Performance was poor for HCCs <1 cm. No studies examined whether adults with cirrhosis and an indeterminate nodule are best evaluated using biopsy, repeated imaging, or alternative imaging. Concerns about publication bias, inconsistent study results, increased risk of bias, and clinical factors precluded support for exclusive use of either gadoxetate-enhanced or extracellular contrast-enhanced MRI over CT. CONCLUSION CT, extracellular contrast-enhanced MRI, or gadoxetate-enhanced MRI could not be definitively preferred for HCC diagnosis in patients with cirrhosis; in patients with cirrhosis and an indeterminate mass, there were insufficient data comparing biopsy to repeat cross-sectional imaging or alternative imaging. (Hepatology 2018;67:401-421).
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Affiliation(s)
- Lewis R Roberts
- Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA
| | - Feras Zaiem
- Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Jehad Almasri
- Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Larry J Prokop
- Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Julie K Heimbach
- Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - M Hassan Murad
- Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Khaled Mohammed
- Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN
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Imaging of Hepatocellular Carcinoma Response After 90Y Radioembolization. AJR Am J Roentgenol 2017; 209:W263-W276. [DOI: 10.2214/ajr.17.17993] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Clinical Feasibility of Free-Breathing Dynamic T1-Weighted Imaging With Gadoxetic Acid–Enhanced Liver Magnetic Resonance Imaging Using a Combination of Variable Density Sampling and Compressed Sensing. Invest Radiol 2017; 52:596-604. [DOI: 10.1097/rli.0000000000000385] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Willatt J, Ruma JA, Azar SF, Dasika NL, Syed F. Imaging of hepatocellular carcinoma and image guided therapies - how we do it. Cancer Imaging 2017; 17:9. [PMID: 28259177 PMCID: PMC5336669 DOI: 10.1186/s40644-017-0110-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 02/14/2017] [Indexed: 02/08/2023] Open
Abstract
Treatment options for hepatocellular carcinoma have evolved over recent years. Interventional radiologists and surgeons can offer curative treatments for early stage tumours, and locoregional therapies can be provided resulting in longer survival times. Early diagnosis with screening ultrasound is the key. CT and MRI are used to characterize lesions and determine the extent of tumour burden. Imaging techniques are discussed in this article as the correct imaging protocols are essential to optimise successful detection and characterisation. After treatment it is important to establish regular imaging follow up with CT or MRI as local residual disease can be easily treated, and recurrence elsewhere in the liver is common.
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Affiliation(s)
- Jonathon Willatt
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA.
| | - Julie A Ruma
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA
| | - Shadi F Azar
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA
| | - Nara L Dasika
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA
| | - F Syed
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA
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