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Structured Reporting of Multiphasic CT for Hepatocellular Carcinoma: Effect on Staging and Suitability for Transplant. AJR Am J Roentgenol 2018; 210:766-774. [DOI: 10.2214/ajr.17.18725] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Towbin AJ, Meyers RL, Woodley H, Miyazaki O, Weldon CB, Morland B, Hiyama E, Czauderna P, Roebuck DJ, Tiao GM. 2017 PRETEXT: radiologic staging system for primary hepatic malignancies of childhood revised for the Paediatric Hepatic International Tumour Trial (PHITT). Pediatr Radiol 2018; 48:536-554. [PMID: 29427028 DOI: 10.1007/s00247-018-4078-z] [Citation(s) in RCA: 145] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 11/01/2017] [Accepted: 01/11/2018] [Indexed: 02/07/2023]
Abstract
Imaging is crucial in the assessment of children with a primary hepatic malignancy. Since its inception in 1992, the PRETEXT (PRE-Treatment EXTent of tumor) system has become the primary method of risk stratification for hepatoblastoma and pediatric hepatocellular carcinoma in numerous cooperative group trials across the world. The PRETEXT system is made of two components: the PRETEXT group and the annotation factors. The PRETEXT group describes the extent of tumor within the liver while the annotation factors help to describe associated features such as vascular involvement (either portal vein or hepatic vein/inferior vena cava), extrahepatic disease, multifocality, tumor rupture and metastatic disease (to both the lungs and lymph nodes). This manuscript is written by members of the Children's Oncology Group (COG) in North America, the International Childhood Liver Tumors Strategy Group (SIOPEL) in Europe, and the Japanese Study Group for Pediatric Liver Tumor (JPLT; now part of the Japan Children's Cancer Group) and represents an international consensus update to the 2005 PRETEXT definitions. These definitions will be used in the forthcoming Trial to Pediatric Hepatic International Tumor Trial (PHITT).
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Affiliation(s)
- Alexander J Towbin
- Department of Radiology, Cincinnati Children's Hospital, 3333 Burnet Ave., MLC 5031, Cincinnati, OH, 45229, USA.
| | - Rebecka L Meyers
- Division of Pediatric Surgery, Primary Children's Hospital, University of Utah, Salt Lake City, UT, USA
| | - Helen Woodley
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Osamu Miyazaki
- Department of Radiology, National Center for Child Health and Development, Tokyo, Japan
| | - Christopher B Weldon
- Departments of Surgery and Oncology, Boston Children's Hospital/Dana Farber Cancer Institute, Boston, MA, USA
| | - Bruce Morland
- Department of Oncology, Birmingham Women's and Children's Hospital, Birmingham, UK
| | - Eiso Hiyama
- Department of Pediatric Surgery, Hiroshima University Hospital, Hiroshima, Japan
| | - Piotr Czauderna
- Department of Surgery and Urology for Children and Adolescents, Medical University of Gdansk, Gdansk, Poland
| | - Derek J Roebuck
- Department of Radiology, Great Ormond Street Hospital for Children, London, WC1N 3JH, UK
| | - Greg M Tiao
- Division of General and Thoracic Surgery, Cincinnati Children's Hospital, Cincinnati, OH, USA
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Sandow TA, Arndt SE, Albar AA, DeVun DA, Kirsch DS, Gimenez JM, Bohorquez HE, Gilbert PJ, Thevenot PT, Nunez KG, Galliano GA, Cohen AJ, Kay D, Gulotta PM. Assessment of Response to Transcatheter Arterial Chemoembolization with Doxorubicin-eluting Microspheres: Tumor Biology and Hepatocellular Carcinoma Recurrence in a 5-year Transplant Cohort. Radiology 2018; 286:1072-1083. [PMID: 29206595 DOI: 10.1148/radiol.2017170731] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Purpose To assess response to transcatheter arterial chemoembolization (TACE) based on immune markers and tumor biology in patients with hepatocellular carcinoma (HCC) who were bridged to liver transplantation, and to produce an optimized pretransplantation model for posttransplantation recurrence risk. Materials and Methods In this institutional review board-approved HIPAA-compliant retrospective analysis, 93 consecutive patients (73 male, 20 female; mean age, 59.6 years; age range, 23-72 years) underwent TACE with doxorubicin-eluting microspheres (DEB) (hereafter, DEB-TACE) and subsequently underwent transplantation over a 5-year period from July 7, 2011, to May 16, 2016. DEB-TACE response was based on modified Response Evaluation Criteria in Solid Tumors. Imaging responses and posttransplantation recurrence were compared with demographics, liver function, basic immune markers, treatment dose, and tumor morphology. Treatment response and recurrence were analyzed with uni- and multivariate statistics, as well as internal validation and propensity score matching of factors known to affect recurrence to assess independent effects of DEB-TACE response on recurrence. Results Low-grade tumors (grade 0, 1, or 2) demonstrated a favorable long-term treatment response in 87% of patients (complete response, 49%; partial response, 38%; stable disease [SD] or local disease progression [DP], 13%) versus 33% of high-grade tumors (grade 3 or 4) (complete response, 0%; partial response, 33%; SD or DP, 67%) (P < .001). Of the 93 patients who underwent treatment, 82 were followed-up after transplantation (mean duration, 757 days). Recurrence occurred in seven (9%) patients (mean time after transplantation, 635 days). Poor response to DEB-TACE (SD or DP) was present in 86% of cases and accounted for 35% of all patients with SD or DP (P < .001). By using only variables routinely available prior to liver transplantation, a validated model of posttransplantation recurrence risk was produced with a concordance statistic of 0.83. The validated model shows sensitivity of 83.6%, specificity of 82.6%, and negative predictive value of 98.4%, which are pessimistic estimates. Conclusion Response to DEB-TACE is correlated with tumor biology and patients at risk for posttransplantation recurrence, and it may be associated with HCC recurrence after liver transplantation. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Tyler A Sandow
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Stephen E Arndt
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Abeer A Albar
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Daniel A DeVun
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - David S Kirsch
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Juan M Gimenez
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Humberto E Bohorquez
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Patrick J Gilbert
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Paul T Thevenot
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Kelley G Nunez
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Gretchen A Galliano
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Ari J Cohen
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Dennis Kay
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
| | - Paul M Gulotta
- From the Departments of Radiology (T.A.S., S.E.A., A.A.A., D.A.D., D.S.K., J.M.G., P.J.G., D.K., P.M.G.), Transplant Surgery (H.E.B., A.J.C.), and Pathology (G.A.G.), and the Institute of Translational Research (P.T.T., K.G.N.), Ochsner Health System, 1514 Jefferson Hwy, New Orleans, LA 70121; and The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, La (D.A.D., D.S.K., J.M.G., H.E.B., P.J.G., G.A.G., A.J.C., D.K., P.M.G.)
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Liu W, Qin J, Guo R, Xie S, Jiang H, Wang X, Kang Z, Wang J, Shan H. Accuracy of the diagnostic evaluation of hepatocellular carcinoma with LI-RADS. Acta Radiol 2018. [PMID: 28648125 DOI: 10.1177/0284185117716700] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background There are few studies about the Liver Imaging Reporting and Data System (LI-RADS), which was developed with the purpose of standardizing the interpretation and reporting of liver imaging examinations in patients at risk for hepatocellular carcinoma (HCC). Purpose To evaluate the diagnostic accuracy of HCC diagnosis using LI-RADS. Material and Methods The computed tomography (CT), magnetic resonance imaging (MRI), and clinical data of 297 lesions in 249 patients between June 2012 and August 2013 were retrospectively analyzed. Using LI-RADS 2014, two radiologists evaluated the lesions and a LI-RADS category was retrospectively assigned to each nodule. Results The final diagnoses of 297 nodules in 249 patients consisted of 191 malignant and 106 benign lesions. Out of 44 LI-RADS category 1 lesions, none were HCCs. However, 2/25 category 2 lesions, 3/35 category 3 lesions, 16/25 category 4 lesions, 151/156 category 5 lesions, and 3/12 category LRM/OM (probable malignancy, not specific for HCC/other malignancy) lesions were HCCs. The Kappa value was 0.44 (95% confidence interval [CI] = 0.39-0.49) between two observers during LI-RADS grading. Conclusion The negative predictive value of LI-RADS category 1 was 100%. In addition, a relevant proportion of lesions categorized as category 2 or 3, or even as other malignancies, were HCCs. LI-RADS category 5 had a high specificity for HCC. LI-RADS was not able to give a differential diagnosis for the false-positive lesions of LI-RADS category 5.
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Affiliation(s)
- Weimin Liu
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Jie Qin
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Ruomi Guo
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Sidong Xie
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Hang Jiang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Xiaohong Wang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Zhuang Kang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Jin Wang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Hong Shan
- Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, PR China
- Center for Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, PR China
- Institute of Interventional Radiology, Sun Yat-sen University, Zhuhai, PR China
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155
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Abstract
Patients with hepatocellular carcinoma (HCC) may be eligible for liver transplantation. Liver transplant candidates with HCC compete for the same deceased donor organs as those without HCC. These scarce organs must be allocated fairly and justly to those who will benefit most. Unlike most other cancers, HCC is often diagnosed noninvasively by imaging without biopsy confirmation. Therefore, radiologists play an important role in diagnosing definite HCC (i.e., LR-5 category) that counts toward staging and determination of liver transplant eligibility. This review explains the conversion of LI-RADS observation categories to organ procurement and transplantation network classes, illustrates the radiologic T-staging systems, reviews selection criteria for liver transplant eligibility, and discusses prioritization of liver transplant candidates with HCC. In addition, this review summarizes imaging requirements, including contrast agents accepted, minimum specifications for dynamic CT or MRI of the liver, and modalities accepted for assessment of extrahepatic spread or metastatic disease in liver transplant candidates with HCC.
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156
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Nonstandardized Terminology to Describe Focal Liver Lesions in Patients at Risk for Hepatocellular Carcinoma: Implications Regarding Clinical Communication. AJR Am J Roentgenol 2018; 210:85-90. [DOI: 10.2214/ajr.17.18416] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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157
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Kambadakone AR, Fung A, Gupta RT, Hope TA, Fowler KJ, Lyshchik A, Ganesan K, Yaghmai V, Guimaraes AR, Sahani DV, Miller FH. LI-RADS technical requirements for CT, MRI, and contrast-enhanced ultrasound. Abdom Radiol (NY) 2018; 43:56-74. [PMID: 28940042 DOI: 10.1007/s00261-017-1325-y] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Accurate detection and characterization of liver observations to enable HCC diagnosis and staging using LI-RADS requires a technically adequate imaging exam. To help achieve this objective, LI-RADS has proposed technical requirements for CT, MR, and contrast-enhanced ultrasound of liver. This article reviews the technical requirements for liver imaging, including the description of minimum acceptable technical standards, such as the scanner hardware requirements, recommended dynamic imaging phases, and common technical challenges of liver imaging.
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Affiliation(s)
- Avinash R Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA.
| | - Alice Fung
- Department of Diagnostic Radiology, Oregon Health and Science University, Portland, OR, USA
| | - Rajan T Gupta
- Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Thomas A Hope
- Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Kathryn J Fowler
- Department of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Andrej Lyshchik
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Karthik Ganesan
- Department of Radiology, Sir HN Reliance Foundation Hospital and Research Centre, Mumbai, India
| | - Vahid Yaghmai
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alexander R Guimaraes
- Department of Diagnostic Radiology, Oregon Health and Science University, Portland, OR, USA
| | - Dushyant V Sahani
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
| | - Frank H Miller
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Tang A, Bashir MR, Corwin MT, Cruite I, Dietrich CF, Do RKG, Ehman EC, Fowler KJ, Hussain HK, Jha RC, Karam AR, Mamidipalli A, Marks RM, Mitchell DG, Morgan TA, Ohliger MA, Shah A, Vu KN, Sirlin CB, For the LI-RADS Evidence Working Group. Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. Radiology 2018; 286:29-48. [PMID: 29166245 PMCID: PMC6677284 DOI: 10.1148/radiol.2017170554] [Citation(s) in RCA: 227] [Impact Index Per Article: 32.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). It assigns category codes reflecting relative probability of HCC to imaging-detected liver observations based on major and ancillary imaging features. LI-RADS also includes imaging features suggesting malignancy other than HCC. Supported and endorsed by the American College of Radiology (ACR), the system has been developed by a committee of radiologists, hepatologists, pathologists, surgeons, lexicon experts, and ACR staff, with input from the American Association for the Study of Liver Diseases and the Organ Procurement Transplantation Network/United Network for Organ Sharing. Development of LI-RADS has been based on literature review, expert opinion, rounds of testing and iteration, and feedback from users. This article summarizes and assesses the quality of evidence supporting each LI-RADS major feature for diagnosis of HCC, as well as of the LI-RADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- An Tang
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Mustafa R. Bashir
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Michael T. Corwin
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Irene Cruite
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Christoph F. Dietrich
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Richard K. G. Do
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Eric C. Ehman
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Kathryn J. Fowler
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Hero K. Hussain
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Reena C. Jha
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | | | - Adrija Mamidipalli
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Robert M. Marks
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Donald G. Mitchell
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Tara A. Morgan
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Michael A. Ohliger
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Amol Shah
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Kim-Nhien Vu
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Claude B. Sirlin
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - For the LI-RADS Evidence Working Group
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
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159
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US LI-RADS: ultrasound liver imaging reporting and data system for screening and surveillance of hepatocellular carcinoma. Abdom Radiol (NY) 2018; 43:41-55. [PMID: 28936543 DOI: 10.1007/s00261-017-1317-y] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Ultrasound is the most widely used imaging tool for hepatocellular carcinoma (HCC) screening and surveillance. Until now, this method has lacked standardized guidelines for interpretation, reporting, and management recommendations [1-5]. To address this need, the American College of Radiology (ACR) has developed the Ultrasound Liver Imaging Reporting and Data System (US LI-RADS) algorithm. The proposed algorithm has two components: detection scores and visualization scores. The detection score guides management and has three categories: US-1 Negative, US-2 Subthreshold, and US-3 Positive. The visualization score informs the expected sensitivity of the ultrasound examination and also has three categories: Visualization A: No or minimal limitations; Visualization B: Moderate limitations; and Visualization C: Severe limitations. Standardization in ultrasound utilization, reporting, and management in high-risk individuals has the capacity to improve communication with patients and referring physicians, unify screening and surveillance algorithms, impact outcomes, and supply quantitative data for future research.
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160
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Fowler KJ, Potretzke TA, Hope TA, Costa EA, Wilson SR. LI-RADS M (LR-M): definite or probable malignancy, not specific for hepatocellular carcinoma. Abdom Radiol (NY) 2018; 43:149-157. [PMID: 28580538 DOI: 10.1007/s00261-017-1196-2] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
LI-RADS v2017 introduces major changes to the diagnostic criteria for LR-M observations to better guide radiologists in the use of this malignant category designation. LR-M is intended to preserve the specificity of the LI-RADS algorithm for diagnosis of HCC while not losing sensitivity for diagnosis of malignancy. The purpose of this paper is to provide a brief background on LR-M, discuss the diagnostic criteria new to v2017, special considerations for its application, and management implications.
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Affiliation(s)
- Kathryn J Fowler
- Department of Radiology, Washington University, 510 S. Kingshighway Blvd, St. Louis, MO, 63110, USA.
| | | | - Thomas A Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
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161
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Tang A, Cruite I, Mitchell DG, Sirlin CB. Hepatocellular carcinoma imaging systems: why they exist, how they have evolved, and how they differ. Abdom Radiol (NY) 2018; 43:3-12. [PMID: 28840293 DOI: 10.1007/s00261-017-1292-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Over the past 16 years, several scientific organizations have proposed systems that incorporate imaging for surveillance, diagnosis, staging, treatment, and monitoring of treatment response of hepatocellular carcinoma (HCC). These systems are needed to standardize the acquisition, interpretation, and reporting of liver imaging examinations; help differentiate benign from malignant observations; improve consistency between radiologists; and provide guidance for management of HCC. This review article discusses the historical evolution of HCC imaging systems. We indicate the features differentiating these systems, including target population, screening and surveillance algorithm, diagnostic imaging modalities, diagnostic scope, expertise and technical requirements, terminology, major and ancillary imaging features, staging and transplant eligibility, and assessment of treatment response. We highlight the potential benefits of unifying the systems, which we anticipate will enable sharing, pooling, and meta-analysis of data; facilitate multi-center trials; and accelerate dissemination of knowledge.
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Affiliation(s)
- An Tang
- Department of Radiology, Radio-oncology and Nuclear Medicine, Saint-Luc Hospital, University of Montreal and CRCHUM, 1058 rue Saint-Denis, Montreal, QC, H2X 3J4, Canada.
- Centre de recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), 900 rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.
| | - Irene Cruite
- Inland Imaging, Spokane, 801South Stevens St, Spokane, WA, 99204, USA
| | - Donald G Mitchell
- Department of Radiology, Thomas Jefferson University, 132 S. 10th St, 1094 Main Bldg., Philadelphia, PA, 19107, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA
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162
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Chernyak V, Tang A, Flusberg M, Papadatos D, Bijan B, Kono Y, Santillan C. LI-RADS ® ancillary features on CT and MRI. Abdom Radiol (NY) 2018. [PMID: 28647768 DOI: 10.1007/s00261-017-1220-6] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) uses an algorithm to assign categories that reflect the probability of hepatocellular carcinoma (HCC), non-HCC malignancy, or benignity. Unlike other imaging algorithms, LI-RADS utilizes ancillary features (AFs) to refine the final category. AFs in LI-RADS v2017 are divided into those favoring malignancy in general, those favoring HCC specifically, and those favoring benignity. Additionally, LI-RADS v2017 provides new rules regarding application of AFs. The purpose of this review is to discuss ancillary features included in LI-RADS v2017, the rationale for their use, potential pitfalls encountered in their interpretation, and tips on their application.
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Affiliation(s)
| | - An Tang
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, QC, Canada
| | | | - Demetri Papadatos
- Department of Diagnostic Imaging, The Ottawa Hospital, Ottawa, ON, Canada
| | - Bijan Bijan
- Sutter Imaging (SMG)/University of California Davis (UCD), Sacramento, CA, USA
| | - Yuko Kono
- Department of Medicine, Gastroenterology and Hepatology, University of California, San Diego, CA, USA
| | - Cynthia Santillan
- Liver Imaging Group, Department of Radiology, University of California, San Diego, CA, USA
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163
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Mazzaferro V, Sposito C, Zhou J, Pinna AD, De Carlis L, Fan J, Cescon M, Di Sandro S, Yi-Feng H, Lauterio A, Bongini M, Cucchetti A. Metroticket 2.0 Model for Analysis of Competing Risks of Death After Liver Transplantation for Hepatocellular Carcinoma. Gastroenterology 2018; 154:128-139. [PMID: 28989060 DOI: 10.1053/j.gastro.2017.09.025] [Citation(s) in RCA: 463] [Impact Index Per Article: 66.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Revised: 09/05/2017] [Accepted: 09/25/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Outcomes of liver transplantation for hepatocellular carcinoma (HCC) are determined by cancer-related and non-related events. Treatments for hepatitis C virus infection have reduced non-cancer events among patients receiving liver transplants, so reducing HCC-related death might be an actionable end point. We performed a competing-risk analysis to evaluate factors associated with survival of patients with HCC and developed a prognostic model based on features of HCC patients before liver transplantation. METHODS We performed multivariable competing-risk regression analysis to identify factors associated with HCC-specific death of patients who underwent liver transplantation. The training set comprised 1018 patients who underwent liver transplantation for HCC from January 2000 through December 2013 at 3 tertiary centers in Italy. The validation set comprised 341 consecutive patients who underwent liver transplantation for HCC during the same period at the Liver Cancer Institute in Shanghai, China. We collected pretransplantation data on etiology of liver disease, number and size of tumors, patient level of α-fetoprotein (AFP), model for end-stage liver disease score, tumor stage, numbers and types of treatment, response to treatments, tumor grade, microvascular invasion, dates, and causes of death. Death was defined as HCC-specific when related to HCC recurrence after transplantation, disseminated extra- and/or intrahepatic tumor relapse and worsened liver function in presence of tumor spread. The cumulative incidence of death was segregated for hepatitis C virus status. RESULTS In the competing-risk regression, the sum of tumor number and size and of log10 level of AFP were significantly associated with HCC-specific death (P < .001), returning an average c-statistic of 0.780 (95% confidence interval, 0.763-0.798). Five-year cumulative incidence of non-HCC-related death was 8.6% in HCV-negative patients and 18.1% in HCV-positive patients. For patients with HCC to have a 70% chance of HCC-specific survival 5 years after transplantation, their level of AFP should be <200 ng/mL and the sum of number and size of tumors (in centimeters) should not exceed 7; if the level of AFP was 200-400 ng/mL, the sum of the number and size of tumors should be ≤5; if their level of AFP was 400-1000 ng/mL, the sum of the number and size of tumors should be ≤4. In the validation set, the model identified patients who survived 5 years after liver transplantation with 0.721 accuracy (95% confidence interval, 0.648%-0.793%). Our model, based on patients' level of AFP and HCC number and size, outperformed the Milan; University of California, San Francisco; Shanghai-Fudan; Up-to-7 criteria (P < .001); and AFP French model (P = .044) to predict which patients will survive for 5 years after liver transplantation. CONCLUSIONS We developed a model based on level of AFP, tumor size, and tumor number, to determine risk of death from HCC-related factors after liver transplantation. This model might be used to select end points and refine selection criteria for liver transplantation for patients with HCC. To predict 5-year survival and risk of HCC-related death using an online calculator, please see www.hcc-olt-metroticket.org/. ClinicalTrials.gov ID NCT02898415.
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Affiliation(s)
- Vincenzo Mazzaferro
- General Surgery and Liver Transplantation Unit, University of Milan, Istituto Nazionale Tumori (National Cancer Institute), Istituto di Ricovero e Cura a Carattere Scientifico Foundation, Milan, Italy.
| | - Carlo Sposito
- General Surgery and Liver Transplantation Unit, University of Milan, Istituto Nazionale Tumori (National Cancer Institute), Istituto di Ricovero e Cura a Carattere Scientifico Foundation, Milan, Italy
| | - Jian Zhou
- Liver Surgery Department, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Antonio D Pinna
- General Surgery and Transplant Unit, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Luciano De Carlis
- General Surgery and Abdominal Transplantation Unit, University of Milano-Bicocca and Niguarda-Cà Granda Hospital, Milan, Italy
| | - Jia Fan
- Liver Surgery Department, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Matteo Cescon
- General Surgery and Transplant Unit, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Stefano Di Sandro
- General Surgery and Abdominal Transplantation Unit, University of Milano-Bicocca and Niguarda-Cà Granda Hospital, Milan, Italy
| | - He Yi-Feng
- Liver Surgery Department, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Andrea Lauterio
- General Surgery and Abdominal Transplantation Unit, University of Milano-Bicocca and Niguarda-Cà Granda Hospital, Milan, Italy
| | - Marco Bongini
- General Surgery and Liver Transplantation Unit, University of Milan, Istituto Nazionale Tumori (National Cancer Institute), Istituto di Ricovero e Cura a Carattere Scientifico Foundation, Milan, Italy
| | - Alessandro Cucchetti
- General Surgery and Transplant Unit, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
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164
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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: 53] [Impact Index Per Article: 7.6] [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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165
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Diagnostic per-lesion performance of a simulated gadoxetate disodium-enhanced abbreviated MRI protocol for hepatocellular carcinoma screening. Clin Radiol 2017; 73:485-493. [PMID: 29246586 DOI: 10.1016/j.crad.2017.11.013] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2017] [Accepted: 11/14/2017] [Indexed: 02/07/2023]
Abstract
AIM To evaluate the diagnostic per-lesion performance of a simulated gadoxetate disodium-enhanced abbreviated MRI (AMRI) in cirrhotic and chronic hepatitis B (CHB) patients for hepatocellular carcinoma (HCC) screening. MATERIALS AND METHODS Seventy-nine consecutive patients at risk for HCC due to cirrhosis and/or CHB were included in this retrospective study. For each patient, the first gadoxetate disodium-enhanced MRI between 2008 through 2014 was analysed. Two independent readers read an anonymised abbreviated image set comprising axial T1-weighted (W) images with fat saturation in the hepatobiliary phase, 20 minutes or more after gadoxetate injection, and axial T2W single-shot fast spin echo images. Each observation >10 mm was scored as negative or suspicious for HCC. Inter-reader agreement was assessed. A composite reference standard was used to determine the per-lesion diagnostic performance for each reader. RESULTS Inter-reader agreement was substantial (κ = 0.75). The final reference standard showed 27 HCCs in 13 patients (median 21 mm, range 11-100 mm). The two readers each correctly scored 23 as suspicious for HCC (sensitivity = 85.2%), scored a total of 27 and 32 observations as suspicious for HCC (positive predictive value [PPV] = 85.2% and 71.9%), and scored 83 and 78 observations or complete examinations as negative for HCC (negative predictive value [NPV] = 95.2% and 94.9%). CONCLUSIONS The AMRI protocol provides higher per-lesion sensitivity and NPV than reported values for ultrasound, the current recommended technique for screening, and similar per-lesion sensitivity and PPV to reported values for complete dynamic contrast-enhanced MRI.
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166
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Sugi MD, Albadawi H, Knuttinen G, Naidu SG, Mathur AK, Moss AA, Oklu R. Transplant artery thrombosis and outcomes. Cardiovasc Diagn Ther 2017; 7:S219-S227. [PMID: 29399525 DOI: 10.21037/cdt.2017.10.13] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Post-transplantation allograft arterial thrombosis is a well-recognized complication associated with solid organ transplantation. Much of the literature is centered on liver and kidney transplantation, which will therefore serve as the principle basis for this review, with a brief discussion on pancreas transplantation and associated arterial complications. The number of solid organ transplants has been steadily increasing over the past decade in parallel with growing demand for organs and expansion of the transplantation criteria for both donors and recipients. This increase has been accompanied by a number of innovative medical advances and surgical techniques, as well as improved imaging that has allowed for thoughtful exploration of vascular anatomic variants and the possibilities for transplant with which they are associated. It has also been accompanied by a growing field of behavioral research, as potential recipients must weigh the risk of accepting certain organs based on perceived outcomes that may differ according to the quality of the underlying organ. Improvements in imaging technology have brought greater sensitivity to detecting arterial complications in post-operative surveillance examinations and have allowed for further development of tailored endovascular and surgical interventions for transplant-associated vascular complications. This review will focus on post-transplantation solid organ allograft artery thrombosis, including discussion of risk factors, diagnostic imaging, natural history, and therapeutic options.
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Affiliation(s)
- Mark D Sugi
- Department of Radiology, Mayo Clinic Hospital, Phoenix, AZ, USA
| | - Hassan Albadawi
- Division of Vascular and Interventional Radiology, Mayo Clinic Hospital, Phoenix, AZ, USA
| | - Grace Knuttinen
- Division of Vascular and Interventional Radiology, Mayo Clinic Hospital, Phoenix, AZ, USA
| | - Sailendra G Naidu
- Division of Vascular and Interventional Radiology, Mayo Clinic Hospital, Phoenix, AZ, USA
| | - Amit K Mathur
- Division of Transplant Surgery, Mayo Clinic Hospital, Phoenix, AZ, USA
| | - Adyr A Moss
- Division of Transplant Surgery, Mayo Clinic Hospital, Phoenix, AZ, USA
| | - Rahmi Oklu
- Division of Vascular and Interventional Radiology, Mayo Clinic Hospital, Phoenix, AZ, USA
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167
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Liver transplantation for hepatocellular carcinoma: current update on treatment and allocation. Curr Opin Organ Transplant 2017; 22:128-134. [PMID: 27926548 DOI: 10.1097/mot.0000000000000385] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE OF REVIEW This review discusses the current imaging modalities and criteria used to diagnose, and the role of liver transplantation as well as nonsurgical hepatic-directed therapies to treat hepatocellular carcinoma in the setting of chronic liver disease. RECENT FINDINGS There has been continual evolution of guidelines, policies, and algorithms for the imaging diagnosis of hepatocellular carcinoma, particularly the Liver Imaging Reporting and Data System. The use of liver-directed therapy as a bridge to transplant is now common practice. Recently, patients have waited 6 months from listing before being granted a Model for End-Stage Liver Disease exception score of 28, with an increase every 3 months to a maximum score of 34. This policy change was developed to reduce disparities in outcomes for patients undergoing liver transplantation. SUMMARY The use of liver transplantation to treat hepatocellular carcinoma within the Milan criteria has good outcomes with a 5-year disease-free survival rate comparable to patients transplanted without malignancy. The development of guidelines both for the radiologic diagnosis and staging of the primary tumor and guidelines for assessing response to treatment allows for a more unified approach to the management of patients. With the partnership of oncologists, hepatologists, radiologists, pathologists, and surgeons, the outcomes of liver transplantation as treatment for hepatocellular continue to improve.
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168
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Lee SE, An C, Hwang SH, Choi JY, Han K, Kim MJ. Extracellular contrast agent-enhanced MRI: 15-min delayed phase may improve the diagnostic performance for hepatocellular carcinoma in patients with chronic liver disease. Eur Radiol 2017; 28:1551-1559. [PMID: 29134355 DOI: 10.1007/s00330-017-5119-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 09/27/2017] [Accepted: 10/03/2017] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To determine the value of a 15-min delayed phase in extracellular contrast agent (ECA)-enhanced magnetic resonance imaging (MRI) for evaluation of hepatocellular carcinoma (HCC) in patients with chronic liver disease. METHODS Between 2014 and 2015, 103 patients with chronic liver disease underwent ECA-enhanced MRI; 133 lesions consisting of 107 HCCs, 23 benign lesions and three non-HCC malignancies were identified with pathological or clinical diagnosis. MRI images were reviewed by two abdominal radiologists independently using the European Association for the Study of the Liver (EASL) and Liver Imaging Reporting and Data System (LI-RADS) criteria. Imaging features observed in the 15-min delayed phase were recorded. RESULTS Of 107 HCCs, three or four additional HCCs were diagnosed according to the EASL criteria by adding the 15-min delayed phase, increasing sensitivity (Reviewer 1, from 69.2-72.0 % [P = 0.072]; Reviewer 2, from 75.7-79.4 % [P = 0.041]). Reviewers 1 and 2 upgraded one and four HCCs from LR-4 to LR-5 based on the LI-RADS, respectively. Among 23 benign lesions, no additional findings were observed in the 15-min delayed phase. CONCLUSIONS Including the 15-min delayed phase in ECA-enhanced MRI may improve the diagnostic performance for HCC in patients with chronic liver disease. KEY POINTS • Additional acquisition of 15-min delayed phase (FDP) requires approximately 20 s. • About 5 % of HCCs show washout or capsule appearance only in FDP. • Including FDP improves the sensitivity of extracellular contrast agent-enhanced MRI for HCC. • These results are applicable only to patients with chronic liver disease.
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Affiliation(s)
- Si Eun Lee
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University, College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Chansik An
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University, College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
| | - Shin Hye Hwang
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University, College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Jin-Young Choi
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University, College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Kyunghwa Han
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University, College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Myeong-Jin Kim
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University, College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
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169
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Fowler KJ, Tang A, Santillan C, Bhargavan-Chatfield M, Heiken J, Jha RC, Weinreb J, Hussain H, Mitchell DG, Bashir MR, Costa EAC, Cunha GM, Coombs L, Wolfson T, Gamst AC, Brancatelli G, Yeh B, Sirlin CB. Interreader Reliability of LI-RADS Version 2014 Algorithm and Imaging Features for Diagnosis of Hepatocellular Carcinoma: A Large International Multireader Study. Radiology 2017; 286:173-185. [PMID: 29091751 DOI: 10.1148/radiol.2017170376] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Purpose To determine in a large multicenter multireader setting the interreader reliability of Liver Imaging Reporting and Data System (LI-RADS) version 2014 categories, the major imaging features seen with computed tomography (CT) and magnetic resonance (MR) imaging, and the potential effect of reader demographics on agreement with a preselected nonconsecutive image set. Materials and Methods Institutional review board approval was obtained, and patient consent was waived for this retrospective study. Ten image sets, comprising 38-40 unique studies (equal number of CT and MR imaging studies, uniformly distributed LI-RADS categories), were randomly allocated to readers. Images were acquired in unenhanced and standard contrast material-enhanced phases, with observation diameter and growth data provided. Readers completed a demographic survey, assigned LI-RADS version 2014 categories, and assessed major features. Intraclass correlation coefficient (ICC) assessed with mixed-model regression analyses was the metric for interreader reliability of assigning categories and major features. Results A total of 113 readers evaluated 380 image sets. ICC of final LI-RADS category assignment was 0.67 (95% confidence interval [CI]: 0.61, 0.71) for CT and 0.73 (95% CI: 0.68, 0.77) for MR imaging. ICC was 0.87 (95% CI: 0.84, 0.90) for arterial phase hyperenhancement, 0.85 (95% CI: 0.81, 0.88) for washout appearance, and 0.84 (95% CI: 0.80, 0.87) for capsule appearance. ICC was not significantly affected by liver expertise, LI-RADS familiarity, or years of postresidency practice (ICC range, 0.69-0.70; ICC difference, 0.003-0.01 [95% CI: -0.003 to -0.01, 0.004-0.02]. ICC was borderline higher for private practice readers than for academic readers (ICC difference, 0.009; 95% CI: 0.000, 0.021). Conclusion ICC is good for final LI-RADS categorization and high for major feature characterization, with minimal reader demographic effect. Of note, our results using selected image sets from nonconsecutive examinations are not necessarily comparable with those of prior studies that used consecutive examination series. © RSNA, 2017.
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Affiliation(s)
- Kathryn J Fowler
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - An Tang
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Cynthia Santillan
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Mythreyi Bhargavan-Chatfield
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Jay Heiken
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Reena C Jha
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Jeffrey Weinreb
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Hero Hussain
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Donald G Mitchell
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Mustafa R Bashir
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Eduardo A C Costa
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Guilherme M Cunha
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Laura Coombs
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Tanya Wolfson
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Anthony C Gamst
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Giuseppe Brancatelli
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Benjamin Yeh
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
| | - Claude B Sirlin
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (K.J.F., J.H.); Department of Radiology, Centre Hospitalier de l'Universite de Montreal, Montreal, Canada (A.T.); Department of Radiology, Liver Imaging Group (C.S., C.B.S.), and Computational and Applied Statistics Laboratory, San Diego Supercomputer Center (T.W., A.C.G.), University of California San Diego, San Diego, Calif; American College of Radiology, Reston, Va (M.B., L.C.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, Yale Medical School, New Haven, Conn (J.W.); Department of Radiology, University of Michigan, Ann Arbor, Mich (H.H.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Cedrul, CT and MRI, Joao Pessoa, Brazil (E.A.C.C.); Clinica de Diagnostico por Imagem-CDPI-DASA, Rio de Janeiro, Brazil (G.M.C.); Division of Radiological Science, Di.Bi.Med., University of Palermo, Palermo, Italy (G.B.); and Department of Radiology, University of California San Francisco, San Francisco, Calif (B.Y.)
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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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Gutierrez D, Gurajala RK, Kapoor B, Setser R, Karuppasamy K. Relationship between cone-beam CT technique and diagnostic usefulness in patients undergoing embolotherapy for hepatocellular carcinoma. Clin Radiol 2017; 72:993.e1-993.e6. [DOI: 10.1016/j.crad.2017.06.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 05/18/2017] [Accepted: 06/07/2017] [Indexed: 10/19/2022]
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172
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ACR Appropriateness Criteria ® Chronic Liver Disease. J Am Coll Radiol 2017; 14:S391-S405. [DOI: 10.1016/j.jacr.2017.08.045] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 08/23/2017] [Indexed: 02/07/2023]
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Armengol C, Sarrias MR, Sala M. Hepatocellular carcinoma: Present and future. Med Clin (Barc) 2017; 150:390-397. [PMID: 29096967 DOI: 10.1016/j.medcli.2017.08.010] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 08/17/2017] [Accepted: 08/21/2017] [Indexed: 12/19/2022]
Abstract
Hepatocellular carcinoma (HCC) is the sixth most common cancer worldwide with over 740,000 new cases per year and the third leading cause of cancer-related death, with a growing incidence in recent years. This tumor usually arises in patients with an underlying chronic liver disease. The management of this tumor has improved over the past 2 decades: patients at risk are included in a surveillance program, a prognostic staging system has been created and, finally, new treatments particularly aimed at patients with advanced HCC have been developed. This fact has resulted in a greater interest in this tumor and several scientific societies have developed clinical practice guidelines for the management of patients with this disease. In this article, we review the current and future prospects of this tumor.
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Affiliation(s)
- Carolina Armengol
- Unidad de Hepatología, Servicio de Aparato Digestivo, Institut de Recerca Germans Trias i Pujol (IGTP), Hospital Germans Trias i Pujol, Badalona, Barcelona, España; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Badalona, Barcelona, España; Childhood Liver Oncology group (c-LOG), Program of Predictive and Personalized Medicine of Cancer (PMPPC), Institut de Recerca Germans Trias i Pujol (IGTP), Badalona, Barcelona, España
| | - Maria Rosa Sarrias
- Unidad de Hepatología, Servicio de Aparato Digestivo, Institut de Recerca Germans Trias i Pujol (IGTP), Hospital Germans Trias i Pujol, Badalona, Barcelona, España; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Badalona, Barcelona, España; Innate Immunity Group, Germans Trias i Pujol Health Sciences Institute (IGTP), Badalona, Barcelona, España
| | - Margarita Sala
- Unidad de Hepatología, Servicio de Aparato Digestivo, Institut de Recerca Germans Trias i Pujol (IGTP), Hospital Germans Trias i Pujol, Badalona, Barcelona, España; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Badalona, Barcelona, España.
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Mehta N, Dodge JL, Roberts JP, Hirose R, Yao FY. Misdiagnosis of hepatocellular carcinoma in patients receiving no local-regional therapy prior to liver transplant: An analysis of the Organ Procurement and Transplantation Network explant pathology form. Clin Transplant 2017; 31. [PMID: 28881064 DOI: 10.1111/ctr.13107] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2017] [Indexed: 12/13/2022]
Abstract
Patients with T1 hepatocellular carcinoma (HCC) are not eligible for Model for End Stage Liver Disease (MELD) exception for liver transplant (LT) in part due to a high rate of misdiagnosis (no HCC on explant). The likelihood of misdiagnosis for T2 HCC and factors associated with misdiagnosis are unknown. We analyzed the Organ Procurement and Transplantation Network database including 5664 adults who underwent LT from 2012 to 2015 with MELD exception for T2 HCC, and searched for no evidence of HCC in the explant pathology file. We focused on those (n = 324) receiving no local-regional therapy (LRT) to evaluate the probability of no HCC found in explant. Median waiting time was short at 1.7 months, and 35 (11%) had no HCC on explant. On multivariable logistic regression, factors associated with no HCC on explant were age <50 (OR: 17.3, P < .001), non-HCV (OR: 5.4, P = .001), and alpha-fetoprotein <10 (OR: 2.9, P = .04). Tumor size and number were not different between groups. The proportion of misdiagnosis did not change significantly after implementation of Liver Imaging Reporting and Data System (LI-RADS) for HCC diagnosis. CONCLUSION The rate of misdiagnosis was 11% among T2 HCC patients who underwent LT without receiving LRT prior to LT and did not change significantly after implementation of LI-RADS. More efforts are needed to eliminate unnecessary LT for patients without HCC.
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Affiliation(s)
- Neil Mehta
- Division of Gastroenterology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Jennifer L Dodge
- Division of Transplant Surgery, Department of Surgery, University of California, San Francisco, CA, USA
| | - John P Roberts
- Division of Transplant Surgery, Department of Surgery, University of California, San Francisco, CA, USA
| | - Ryutaro Hirose
- Division of Transplant Surgery, Department of Surgery, University of California, San Francisco, CA, USA
| | - Francis Y Yao
- Division of Gastroenterology, Department of Medicine, University of California, San Francisco, CA, USA.,Division of Transplant Surgery, Department of Surgery, University of California, San Francisco, CA, USA
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175
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Tholey DM, Hornung B, Enestvedt CK, Chen Y, Naugler WS, Farsad K, Nabavizadeh N, Schlansky B, Ahn J, Jou JH. Close observation versus upfront treatment in hepatocellular carcinoma: are the exception points worth the risk? BMJ Open Gastroenterol 2017; 4:e000157. [PMID: 28944072 PMCID: PMC5596865 DOI: 10.1136/bmjgast-2017-000157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 07/02/2017] [Accepted: 07/19/2017] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION To assess the outcomes of immediate LDT versus observation strategies for T1 hepatocellular carcinoma (HCC) with respect to progression beyond Milan and survival. METHOD T1 HCCs were retrospectively reviewed from a multidisciplinary tumour board database between September 2007 and May 2015. In the observation group, T1 lesions were observed until the tumour grew to meet T2 criteria (=2 cm). The treatment group consisted of T1 lesions treated at diagnosis with liver directed therapy (LDT). Kaplan-Meier plots were constructed for tumour progression beyond Milan and overall survival. RESULTS 87 patients (observation n=56; LDT n=31) were included in the study. A total of 22% (n=19) of patients progressed beyond Milan with no difference in progression between treatment and observation groups (19% vs 23%, p=0.49). Median time to progression beyond Milan was 16 months. Overall transplantation rate was 22% (observation group n=16; treatment group n=3, p=0.04). Median survival was 55 months with LDT versus 36 months in the observation group (p=0.22). In patients who progressed to T2 (n=60), longer time to T2 progression was a predictor of improved survival (HR=0.94, 95% CI 0.88 to 0.99, p=0.03). CONCLUSIONS Immediate LDT of T1 lesions was not associated with increased risk of progression beyond Milan criteria when compared with an observation approach. Longer time to T2 progression was associated with increased survival and may be a surrogate for favourable tumour biology.
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Affiliation(s)
- Danielle M Tholey
- Department of Gastroenterology and Hepatology, Oregon Health and Science University, Portland, Oregon, USA
| | - Ben Hornung
- Department of Internal Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - Charles K Enestvedt
- Department of Abdominal Transplantation Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Yiyi Chen
- Division of Biostatistics, Oregon Health and Science University, Portland, Oregon, USA
| | - Willscott S Naugler
- Department of Gastroenterology and Hepatology, Oregon Health and Science University, Portland, Oregon, USA
| | - Khashayar Farsad
- Department of Interventional Radiology, Oregon Health and Science University, Portland, Oregon, USA
| | - Nima Nabavizadeh
- Department of Radiation Oncology, Oregon Health and Science University, Portland, Oregon, USA
| | - Barry Schlansky
- Department of Gastroenterology and Hepatology, Oregon Health and Science University, Portland, Oregon, USA
| | - Joseph Ahn
- Department of Gastroenterology and Hepatology, Oregon Health and Science University, Portland, Oregon, USA
| | - Janice H Jou
- Department of Gastroenterology and Hepatology, Oregon Health and Science University, Portland, Oregon, USA
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Impact of a Structured Report Template on the Quality of CT and MRI Reports for Hepatocellular Carcinoma Diagnosis. J Am Coll Radiol 2017; 14:1206-1211. [DOI: 10.1016/j.jacr.2017.02.050] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 02/22/2017] [Accepted: 02/23/2017] [Indexed: 01/16/2023]
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177
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Muenzel D, Lo GC, Yu HS, Parakh A, Patino M, Kambadakone A, Rummeny EJ, Sahani DV. Material density iodine images in dual-energy CT: Detection and characterization of hypervascular liver lesions compared to magnetic resonance imaging. Eur J Radiol 2017; 95:300-306. [PMID: 28987684 DOI: 10.1016/j.ejrad.2017.08.035] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 07/15/2017] [Accepted: 08/28/2017] [Indexed: 01/06/2023]
Abstract
PURPOSE To determine the diagnostic potential of Material Density (MD) iodine images in dual-energy CT (DECT) for the detection and characterization of hypervascular liver lesions compared to monenergetic 65keV images, using MRI as the standard. MATERIALS AND METHODS The study complied with HIPAA guidelines and was approved by the institutional review board. Fifty-two patients (36 men, 16 women; age range, 29-87 years) with 236 hypervascular liver lesions (benign, n=31; malignant, n=205; mean diameter, 29.4mm; range: 6-90.6mm) were included. All of them underwent both contrast-enhanced single-source DECT and contrast-enhanced abdominal MRI within three months. Late arterial phase CT imaging was performed with dual energies of 140 and 80kVp. Protocol A showed monoenergetic 65keV images, and protocol B presented MD-iodine images. Three radiologists qualitatively evaluated randomized images, and lesion detection, characterization, and reader confidence were recorded. Liver-to-lesion ratio (LLR) and contrast-to-noise ratio (CNR) were assessed on protocol A, protocol B, and MRI. Paired t-tests were used to compare LLR, CNR, and the number of detected lesions. RESULTS LLR was significantly increased in protocol B (2.8±2.33) compared to protocol A (0.77±0.55) and MRI (0.61±0.66). CNR was significantly higher in protocol B (0.08±0.04) compared to protocol A (0.01±0.01) and MRI (0.01±0.01). All three observers correctly identified more liver lesions using protocol B vs protocol A: 83.13% vs 63.64%, 84.57% vs 68.09%, and 79.37% vs 65.52%. There was no significant difference between the three observers in classification of a lesion as benign or malignant. However, higher diagnostic confidence was reported more frequently by the experienced radiologist when using protocol B vs protocol A (84.6% vs 75%). CONCLUSION MD-iodine images in DECT help to increase the conspicuity and detection of hypervascular liver lesions.
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Affiliation(s)
- Daniela Muenzel
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston MA 02114, USA; Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaningerstr. 22, 81675 Munich, Germany.
| | - Grace C Lo
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston MA 02114, USA
| | - Hei Shun Yu
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston MA 02114, USA
| | - Anushri Parakh
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston MA 02114, USA
| | - Manuel Patino
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston MA 02114, USA
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston MA 02114, USA
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaningerstr. 22, 81675 Munich, Germany
| | - Dushyant V Sahani
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston MA 02114, USA
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Fraum TJ, Tsai R, Rohe E, Ludwig DR, Salter A, Nalbantoglu ILK, Heiken JP, Fowler KJ. Differentiation of Hepatocellular Carcinoma from Other Hepatic Malignancies in Patients at Risk: Diagnostic Performance of the Liver Imaging Reporting and Data System Version 2014. Radiology 2017; 286:158-172. [PMID: 28853673 DOI: 10.1148/radiol.2017170114] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Purpose To evaluate the diagnostic performance and interrater reliability of the Liver Imaging Reporting and Data System (LI-RADS) version 2014 in differentiating hepatocellular carcinoma (HCC) from non-HCC malignancy in a population of patients at risk for HCC. Materials and Methods This retrospective HIPAA-compliant institutional review board-approved study was exempt from informed consent. A total of 178 pathology-proven malignant liver masses were identified in 178 patients at risk for HCC but without established extrahepatic malignancy from August 2012 through August 2015. Two readers blinded to pathology findings and clinical follow-up data independently evaluated a liver protocol magnetic resonance or computed tomography study for each lesion and assigned LI-RADS categories, scoring all major and most ancillary features. Statistical analyses included the independent samples t test, x2 test, Fisher exact test, and Cohen k. Results This study included 136 HCCs and 42 non-HCC malignancies. Specificity and positive predictive value of an HCC imaging diagnosis (LR-5 or LR-5V) were 69.0% and 90.5%, respectively, for reader 1 (R1) and 88.3% and 95.5%, respectively, for reader 2 (R2). Tumor in vein was a common finding in patients with non-HCC malignancies (R1, 10 of 42 [23.8%]; R2, five of 42 [11.9%]). Exclusion of the LR-5V pathway improved specificity and positive predictive value for HCC to 83.3% and 92.9%, respectively, for R1 (six fewer false-positive findings) and 92.3% and 96.4%, respectively, for R2 (one fewer false-positive finding). Among masses with arterial phase hyperenhancement, the rim pattern was more common among non-HCC malignancies than among HCCs for both readers (R1: 24 of 36 [66.7%] vs 13 of 124, [10.5%], P < .001; R2: 27 of 35 [77.1%] vs 21 of 123 [17.1%], P < .001) (k = 0.76). Exclusion of rim arterial phase hyperenhancement as a means of satisfying LR-5 criteria also improved specificity and positive predictive value for HCC (R1, two fewer false-positive findings). Conclusion Modification of the algorithmic role of tumor in vein and rim arterial phase hyperenhancement improves the diagnostic performance of LI-RADS version 2014 in differentiating HCC from non-HCC malignancy. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Tyler J Fraum
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Richard Tsai
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Eric Rohe
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Daniel R Ludwig
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Amber Salter
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - ILKe Nalbantoglu
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Jay P Heiken
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Kathryn J Fowler
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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179
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Mendiratta-Lala M, Gu E, Owen D, Cuneo KC, Bazzi L, Lawrence TS, Hussain HK, Davenport MS. Imaging Findings Within the First 12 Months of Hepatocellular Carcinoma Treated With Stereotactic Body Radiation Therapy. Int J Radiat Oncol Biol Phys 2017; 102:1063-1069. [PMID: 29029891 DOI: 10.1016/j.ijrobp.2017.08.022] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 07/15/2017] [Accepted: 08/16/2017] [Indexed: 02/08/2023]
Abstract
PURPOSE To correlate the imaging findings of treated hepatocellular carcinoma (HCC) after stereotactic body radiation therapy (SBRT) with explant pathology and alpha-fetoprotein (AFP) response. METHODS AND MATERIALS From 2007 to 2015, of 146 patients treated with liver SBRT for Barcelona Clinic Liver Cancer stage A hepatocellular carcinoma, 10 were identified with inclusion criteria and had regular interval follow-up magnetic resonance imaging/triple phase computed tomography and explant pathology or declining AFP values for radiology-pathology response correlation. Reference standards for successful response were >90% necrosis on explant pathology or pretreatment AFP >75 ng/mL normalizing to <10 ng/mL within 1 year after SBRT without other treatment. Subjects were treated with 24 to 50 Gy in 3 to 5 fractions. Multiphasic magnetic resonance imaging or computed tomography performed at 3, 6, 9, and 12 months after SBRT was compared with pretreatment imaging by 2 expert radiologists. Descriptive statistics were calculated. RESULTS There were 10 subjects with 10 treated HCCs, classified as 3 Organ Procurement and Transplantation Network (OPTN) 5a, 4 OPTN 5b, and 3 OPTN 5x. All had successfully treated HCCs, according to explant pathology or declining AFP. Four of 10 HCCs had persistent central arterial hyperenhancement 3 to 12 months after SBRT; persistent wash-out was common up to 12 months (9 of 10). Of 10 treated HCCs, 9 exhibited decreased size at 12 months. Liver parenchyma adjacent to the lesion showed early (3-6 months) hyperemia followed by late (6-12 months) capsular retraction and delayed enhancement. No patient had a significant decline in liver function. CONCLUSIONS In the absence of increasing size, persistent central arterial hyperenhancement and wash-out can occur within the first 12 months after SBRT in successfully treated HCCs and may not represent residual viable tumor. Liver parenchyma adjacent to the treated lesion showed inflammation followed by fibrosis, without significant change in hepatic function. Until a radiologic signature of tumor control is determined, freedom from local progression seems to be the best measure of HCC control after SBRT.
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Affiliation(s)
| | - Everett Gu
- Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - Dawn Owen
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Kyle C Cuneo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Latifa Bazzi
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Theodore S Lawrence
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Hero K Hussain
- Department of Radiology, University of Michigan, Ann Arbor, Michigan
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Tang A, McInnes M, Hope TA, Vu KN, Amre D, Wolfson T, Roy C, Mâsse BR, Sirlin C. Magnetic resonance imaging performed with gadoxetate disodium for the diagnosis of hepatocellular carcinoma in cirrhotic and non-cirrhotic patients. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2017. [DOI: 10.1002/14651858.cd012766] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- An Tang
- University of Montreal; Department of Radiology, Radio-Oncology and Nuclear Medicine; 900, rue Saint-Denis, bureau R12.480 Centre de recherche du CHUM Montreal Quebec Canada H2X 0A9
| | - Matthew McInnes
- University of Ottawa; Department of Radiology; Room c159, 1053 Carling Avenue Ottawa Ontario Canada K1Y 4E9
| | - Thomas A Hope
- University of California, San Francisco; Department of Radiology and Biomedical Imaging; 505 Parnassus Avenue, M391 San Francisco CA USA 94143
| | - Kim-Nhien Vu
- University of Montreal; Department of Radiology, Radio-Oncology and Nuclear Medicine; 900, rue Saint-Denis, bureau R12.480 Centre de recherche du CHUM Montreal Quebec Canada H2X 0A9
| | - Devendra Amre
- Research Center, CHU-Sainte Justine; Division of Gastroenterology and Hepatology; 3175 Cote-Sainte-Catherine West Montréal Quebec Canada H3T1C5
| | - Tanya Wolfson
- University of California, San Diego; Computational and Applied Statistics Laboratory at the San Diego Supercomputer Center; 9500 Gilman Drive La Jolla CA USA 92093-0505
| | - Chantal Roy
- CHU Sainte-Justine; Unité de recherche clinique appliquée; 3175 Côte-Ste-Catherine Local 7122 Montreal QC Canada H3T 1C5
| | - Benoît R Mâsse
- CHU Sainte-Justine; Unité de recherche clinique appliquée; 3175 Côte-Ste-Catherine Local 7122 Montreal QC Canada H3T 1C5
- University of Montreal; School of Public Health; 3175, Côte Ste-Catherine Montreal Quebec (QC) Canada H3T 1C5
| | - Claude Sirlin
- University of California, San Diego; Department of Radiology; Altman Clinical and TranslationalResearch Institute La Lolla CA USA
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Chernyak V, Kobi M, Flusberg M, Fruitman KC, Sirlin CB. Effect of threshold growth as a major feature on LI-RADS categorization. Abdom Radiol (NY) 2017; 42:2089-2100. [PMID: 28352950 DOI: 10.1007/s00261-017-1105-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PURPOSE Liver Imaging Reporting and Data System (LI-RADS) uses major features (arterial phase hyperenhancement [APHE], "washout" [WO], "capsule," diameter, threshold growth [TG]) to codify probability of hepatocellular carcinoma for each observation. This study assessed the effect of removing TG as a major feature on LI-RADS categorization. MATERIALS AND METHODS In this HIPAA-compliant, IRB-approved study, all MR and CT clinical reports containing a standardized LI-RADS v2014 template between 4/15-1/17 were retrospectively reviewed for each LR-3, LR-4, and LR-5 reported observation. Two LI-RADS categories were then assigned: one using all LI-RADS major features and one after removing TG as a major feature. The two categories were compared descriptively. RESULTS The study included 265 patients (172 [65%] male, mean age 63 [±10] years) with 489 observations (median diameter 14 mm, IQR 10-20 mm), of which 345 (71%) had APHE, 307 (63%) had WO, 86 (18%) had "capsule," and 72 (15%) had TG. Of 86 observations with TG, 47 (65%) were new observations ≥10 mm, 14 (19%) had diameter increase ≥50% in ≤6 months, and 11 (15%) had diameter increase ≥100% in >6 months. Using all major features, 214/489 (44%) observations were LR-3, 129/489 (26%) were LR-4, and 146/489 (30%) were LR-5. After removing TG, 237/489 (48%) were LR-3, 119/489 (24%) were LR-4, and 133 (27%) were LR-5. Removing TG caused a category downgrade for 35/489 (7%, 95% CI 5-10) observations, including 13/146 (9%, 95% CI 3-14) LR-5 observations. CONCLUSION 9% of LR-5 observations would be downgraded without TG.
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Affiliation(s)
| | - Mariya Kobi
- Department of Radiology, Montefiore Medical Center, Bronx, USA
| | - Milana Flusberg
- Department of Radiology, Montefiore Medical Center, Bronx, USA
| | - Kate C Fruitman
- Department of Radiology, Montefiore Medical Center, Bronx, USA
| | - Claude B Sirlin
- The Liver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, USA
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182
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Jones RH, Taylor AJ, Rostambeigi N, Spilseth B. Small hepatocellular carcinomas displayed as a ring enhancing mass on arterial phase MRI in the chronically diseased liver. Clin Radiol 2017; 72:995.e1-995.e9. [PMID: 28751038 DOI: 10.1016/j.crad.2017.07.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 06/20/2017] [Accepted: 07/03/2017] [Indexed: 01/05/2023]
Abstract
AIM To assess the prevalence of arterial phase (AP) ring-enhancing small hepatocellular carcinomas (HCC) on magnetic resonance imaging (MRI); detail additional MRI features that enable HCC diagnosis; and examine arterial timing as one possible cause of this appearance. MATERIALS AND METHODS Patients undergoing HCC screening with both computed tomography (CT) and MRI within 40 days were examined at a single institution over a 7- year time period ending in 2013. From this initial group, small (1-3 cm), (AP) ring-enhancing HCC on MRI were studied. RESULTS From the initial group of 64 patients with 129 HCC, 20 patients with 78 HCCs had a small diameter with 32 (41%) having an AP ring at MRI. The mean age of this latter group was 63-years old, with the average tumour diameter of 1.9 cm. Histopathology and secondary imaging supported a diagnosis of HCC in 20 (100%) patients and 31 (97%) lesions. Most of the ringed lesions had early AP timing. CONCLUSION This study revealed a high prevalence (41%) of small, AP ring HCC with MRI. The use of other MRI sequences adds support in making the proper diagnosis with this appearance. Early AP timing may help create this pattern.
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Affiliation(s)
- R H Jones
- Department of Radiology, University of Minnesota, 420 Delaware Street S.E, Mayo Memorial Building, Minneapolis, MN 55455, USA
| | - A J Taylor
- Department of Radiology, University of Minnesota, 420 Delaware Street S.E, Mayo Memorial Building, Minneapolis, MN 55455, USA.
| | - N Rostambeigi
- Department of Radiology, University of Minnesota, 420 Delaware Street S.E, Mayo Memorial Building, Minneapolis, MN 55455, USA
| | - B Spilseth
- Department of Radiology, University of Minnesota, 420 Delaware Street S.E, Mayo Memorial Building, Minneapolis, MN 55455, USA
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Eddy K, Costa AF. Assessment of Cirrhotic Liver Enhancement With Multiphasic Computed Tomography Using a Faster Injection Rate, Late Arterial Phase, and Weight-Based Contrast Dosing. Can Assoc Radiol J 2017; 68:371-378. [PMID: 28720415 DOI: 10.1016/j.carj.2017.01.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 12/11/2016] [Accepted: 01/03/2017] [Indexed: 01/31/2023] Open
Abstract
PURPOSE This study aimed to update our liver computed tomography (CT) protocol according to published guidelines, and to quantitatively evaluate the effect of these modifications. METHODS The modified liver CT protocol employed a faster injection rate (5 vs 3 mL/s), later arterial phase (20-second vs 10-second postbolus trigger), and weight-based dosing of iodinated contrast (1.7 mL/kg vs 100 mL fixed dose). Liver and vascular attenuation values were measured on CTs of patients with cirrhosis from January to September 2015 (old protocol, n = 49) and from October to December 2015 (modified protocol, n = 31). CTs were considered adequate if liver enhancement exceeded 50 Hounsfield units (HU) in portal venous phase, or when the unenhanced phase was unavailable, if a minimum iodine concentration of 500 mg I/kg was achieved. Attenuations and iodine concentrations were compared using the t test and the number of suboptimal studies was compared with Fisher's exact test. RESULTS CTs acquired with the modified protocol demonstrated higher aortic (P = .001) and portal vein (P < .0001) attenuations in the arterial phase as well as greater hepatic attenuation on all postcontrast phases (P = .0006, .002, and .003 for arterial, venous, and equilibrium phases, respectively). Hepatic enhancement in the portal venous phase (61 ± 15 HU vs 51 ± 16 HU; P = .0282) and iodine concentrations (595 ± 88 mg I/kg vs 456 ± 112 mg I/kg; P < .0001) were improved, and the number of suboptimal studies was reduced from 57% to 23% (P = .01). CONCLUSIONS A liver CT protocol with later arterial phase, faster injection rate, and weight-based dosing of intravenous contrast significantly improves liver enhancement and iodine concentrations in patients with cirrhosis, resulting in significantly fewer suboptimal studies.
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Affiliation(s)
- Kathleen Eddy
- Department of Diagnostic Radiology, QE II Health Sciences Centre, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Andreu F Costa
- Department of Diagnostic Radiology, QE II Health Sciences Centre, Dalhousie University, Halifax, Nova Scotia, Canada.
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Liver transplantation in patients with incidental hepatocellular carcinoma/cholangiocarcinoma and intrahepatic cholangiocarcinoma: a single-center experience. Hepatobiliary Pancreat Dis Int 2017; 16:264-270. [PMID: 28603094 DOI: 10.1016/s1499-3872(17)60016-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Reports of liver transplantation (LT) in patients with mixed hepatocellular carcinoma/cholangiocarcinoma (HCC/CC) and intrahepatic cholangiocarcinoma (ICC) are modest and have been mostly retrospective after pathological categorization in the setting of presumed HCC. Some studies suggest that patients undergoing LT with small and unifocal ICC or mixed HCC/CC can achieve about 40%-60% 5-year post-transplant survival. The study aimed to report our experience in patients undergoing LT with explant pathology revealing HCC/CC and ICC. METHODS From a prospectively maintained database, we performed cohort analysis. We identified 13 patients who underwent LT with explant pathology revealing HCC/CC or ICC. RESULTS The observed recurrence rate post-LT was 31% (4/13) and overall survival was 85%, 51%, and 51% at 1, 3 and 5 years, respectively. Disease-free survival was 68%, 51%, and 41% at 1, 3 and 5 years, respectively. In our cohort, four patients would have qualified for exception points based on updated HCC Organ Procurement and Transplantation Network imaging guidelines. CONCLUSIONS Lesions which lack complete imaging characteristics of HCC may warrant pre-LT biopsy to fully elucidate their pathology. Identified patients with early HCC/CC or ICC may benefit from LT if unresectable. Additionally, incorporating adjunctive perioperative therapies such as in the case of patients undergoing LT with hilar cholangiocarcinoma may improve outcomes but this warrants further investigation.
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Gordic S, Ayache JB, Kennedy P, Besa C, Wagner M, Bane O, Ehman RL, Kim E, Taouli B. Value of tumor stiffness measured with MR elastography for assessment of response of hepatocellular carcinoma to locoregional therapy. Abdom Radiol (NY) 2017; 42:1685-1694. [PMID: 28154910 PMCID: PMC5590631 DOI: 10.1007/s00261-017-1066-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE The aim of the study was to correlate tumor stiffness (TS) measured with MR elastography (MRE) with degree of tumor enhancement and necrosis on contrast-enhanced T1-weighted imaging (CE-T1WI) in hepatocellular carcinomas (HCC) treated with Yttrium-90 radioembolization (RE) or transarterial chemoembolization plus radiofrequency ablation (TACE/RFA). MATERIAL AND METHODS This retrospective study was IRB-approved and the requirement for informed consent was waived. 52 patients (M/F 38/14, mean age 67 years) with HCC who underwent RE (n = 22) or TACE/RFA (n = 30) and 11 controls (M/F 6/5, mean age 64 years) with newly diagnosed untreated HCC were included. The MRI protocol included a 2D MRE sequence. TS and LS (liver stiffness) were measured on stiffness maps. Degree of tumor necrosis was assessed on subtraction images by two observers, and tumor enhancement ratios (ER) were calculated on CE-T1WI by one observer. RESULTS 63 HCCs (mean size 3.2 ± 1.6 cm) were evaluated. TS was significantly lower in treated vs. untreated tumors (3.9 ± 1.8 vs. 6.9 ± 3.4 kPa, p = 0.006) and also compared to LS (5.3 ± 2.2 kPa, p = 0.002). There were significant correlations between TS and each of enhancement ratios (r = 0.514, p = 0.0001), and percentage of necrosis (r = -0.540, p = 0.0001). The observed correlations were stronger in patients treated with RE (TS vs. ER, r = 0.636, TS vs. necrosis, r = -0.711, both p = 0.0001). Percentage of necrosis and T1-signal in native T1WI were significant independent predictors of TS (p = 0.0001 and 0.001, respectively). CONCLUSION TS measured with MRE shows a significant correlation with tumor enhancement and necrosis, especially in HCCs treated with RE.
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Affiliation(s)
- Sonja Gordic
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1234, New York, NY, 10029-6574, USA
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Jad Bou Ayache
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Paul Kennedy
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1234, New York, NY, 10029-6574, USA
| | - Cecilia Besa
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1234, New York, NY, 10029-6574, USA
| | - Mathilde Wagner
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1234, New York, NY, 10029-6574, USA
| | - Octavia Bane
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1234, New York, NY, 10029-6574, USA
| | | | - Edward Kim
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bachir Taouli
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1234, New York, NY, 10029-6574, USA.
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Characterizing the Risk of False-Positive Hepatocellular Carcinoma in Recipients Transplanted With T2 MELD Exceptions. Transplantation 2017; 101:1099-1105. [DOI: 10.1097/tp.0000000000001660] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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188
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Horowitz JM, Kamel IR, Arif-Tiwari H, Asrani SK, Hindman NM, Kaur H, McNamara MM, Noto RB, Qayyum A, Lalani T. ACR Appropriateness Criteria ® Chronic Liver Disease. J Am Coll Radiol 2017; 14:S103-S117. [DOI: 10.1016/j.jacr.2017.02.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 02/01/2017] [Accepted: 02/02/2017] [Indexed: 02/07/2023]
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189
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Carberry GA, Smolock AR, Cristescu M, Wells SA, Ziemlewicz TJ, Lubner MG, Hinshaw JL, Brace CL, Lee FT. Safety and Efficacy of Percutaneous Microwave Hepatic Ablation Near the Heart. J Vasc Interv Radiol 2017; 28:490-497. [DOI: 10.1016/j.jvir.2016.12.1216] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 12/13/2016] [Accepted: 12/18/2016] [Indexed: 01/04/2023] Open
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190
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Liver transplantation for hepatocellular carcinoma: outcomes and novel surgical approaches. Nat Rev Gastroenterol Hepatol 2017; 14:203-217. [PMID: 28053342 DOI: 10.1038/nrgastro.2016.193] [Citation(s) in RCA: 322] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Liver transplantation for hepatocellular carcinoma (HCC) is the best treatment option for patients with early-stage tumours and accounts for ∼20-40% of all liver transplantations performed at most centres worldwide. The Milan criteria are the most common criteria to select patients with HCC for transplantation but they can be seen as too restrictive. Several proposals have been made for a moderate expansion of the criteria, which result in good outcomes but with an increase in the risk of tumour recurrence. In this Review, we provide a comprehensive overview of the outcomes after liver transplantation for HCC, focusing on tumour recurrence in terms of surveillance, prevention and treatment. Additionally, novel surgical techniques have been developed to increase the available pool of organs for liver transplantation (such as living donor liver transplantation, donation after circulatory death and split livers), but the effect of these techniques on patients with HCC is still under debate. Thus, we will describe these techniques and expose the benefits and disadvantages of each surgical approach. Finally, we will comment on the limitations of the current priority policies for liver transplantation and the need to further refine them to better serve the population.
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Corey KE, Gawrieh S, deLemos AS, Zheng H, Scanga AE, Haglund JW, Sanchez J, Danford CJ, Comerford M, Bossi K, Munir S, Chalasani N, Wattacheril J. Risk factors for hepatocellular carcinoma in cirrhosis due to nonalcoholic fatty liver disease: A multicenter, case-control study. World J Hepatol 2017; 9:385-390. [PMID: 28321274 PMCID: PMC5340993 DOI: 10.4254/wjh.v9.i7.385] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 12/20/2016] [Accepted: 02/13/2017] [Indexed: 02/06/2023] Open
Abstract
AIM To identify risk factors associated with hepatocellular carcinoma (HCC), describe tumor characteristics and treatments pursed for a cohort of individuals with nonalcoholic steatohepatitis (NASH) cirrhosis.
METHODS We conducted a retrospective case-control study of a well-characterized cohort of patients among five liver transplant centers with NASH cirrhosis with (cases) and without HCC (controls).
RESULTS Ninety-four cases and 150 controls were included. Cases were significantly more likely to be male than controls (67% vs 45%, P < 0.001) and of older age (61.9 years vs 58 years, P = 0.002). In addition, cases were more likely to have had complications of end stage liver disease (83% vs 71%, P = 0.032). On multivariate analysis, the strongest association with the presence of HCC were male gender (OR 4.3, 95%CI: 1.83-10.3, P = 0.001) and age (OR = 1.082, 95%CI: 1.03-1.13, P = 0.001). Hispanic ethnicity was associated with a decreased prevalence of HCC (OR = 0.3, 95%CI: 0.09-0.994, P = 0.048). HCC was predominantly in the form of a single lesion with regional lymph node(s) and distant metastasis in only 2.6% and 6.3%, respectively. Fifty-nine point three percent of individuals with HCC underwent locoregional therapy and 61.5% underwent liver transplantation for HCC.
CONCLUSION Male gender, increased age and non-Hispanic ethnicity are associated with HCC in NASH cirrhosis. NASH cirrhosis associated HCC in this cohort was characterized by early stage disease at diagnosis and treatment with locoregional therapy and transplant.
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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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193
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An C, Rakhmonova G, Choi JY, Kim MJ. Liver imaging reporting and data system (LI-RADS) version 2014: understanding and application of the diagnostic algorithm. Clin Mol Hepatol 2017; 22:296-307. [PMID: 27304548 PMCID: PMC4946409 DOI: 10.3350/cmh.2016.0028] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Liver Imaging Reporting and Data System (LI-RADS) is a system for interpreting and reporting of computed tomography and magnetic resonance imaging of the liver in patients at risk for hepatocellular carcinoma (HCC). LI-RADS has been developed to address the limitations of prior imaging-based criteria including the lack of established consensus regarding the exact definitions of imaging features, binary categorization (either definite or not definite HCC), and failure to consider non-HCC malignancies. One of the most important goals of LI-RADS is to facilitate clear communication between all the personnel involved in the diagnosis and treatment of HCC, such as radiologists, hepatologists, surgeons, and pathologists. Therefore, clinicians should also be familiar with LI-RADS. This article reviews the LI-RADS diagnostic algorithm, and the definitions and management implications of LI-RADS categories.
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Affiliation(s)
- Chansik An
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Gulbahor Rakhmonova
- Department of Oncology and Radiology, Tashkent Medical Academy, Tashkent, Uzbekistan
| | - Jin-Young Choi
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Myeong-Jin Kim
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
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194
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Multiple arterial phase MRI of arterial hypervascular hepatic lesions: improved arterial phase capture and lesion enhancement. Abdom Radiol (NY) 2017; 42:870-876. [PMID: 27770162 DOI: 10.1007/s00261-016-0948-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE To establish if triple-phase arterial imaging improves the detection of arterial phase hyperintense lesions based on arterial phase capture, motion artifact degradation, and lesion enhancement when compared to single-phase imaging. MATERIALS AND METHODS Patients at risk for hepatocellular carcinoma were imaged at 3.0T. Seventy-three consecutive patients with a standard single-phase MRI and eighty-five consecutive patients were imaged using extracellular contrast with triple arterial phase MRI using three sequential accelerated acquisitions of 8 s. Arterial phase capture and image quality were qualitatively categorized. Forty single-phase and forty-four triple-phase studies contained arterially enhancing lesions > 1 cm with washout appearance. The contrast-to-noise ratio (CNR) of the lesions was calculated. We compared the differences in means with Student t-tests and those in arterial phase capture with a Chi squared test with Yates correction. RESULTS The triple-phase acquisitions captured the early or late arterial phases more frequently than did the single-phase acquisition (99% vs 86%; P value = 0.006). Triple-phase also provided greater number of patients with early or late arterial phase imaging without motion artifact (92% vs 79%, P-value = 0.05). The lesion analysis revealed increased maximum CNR in the triple-phase imaging (704.4) vs. single-phase imaging (517.2), P-value < 0.001. CONCLUSION Triple-phase acquisition provides more robust arterial phase imaging for hepatic lesions, with increased lesion CNR, compared to standard single-phase arterial phase imaging.
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Understanding LI-RADS, Its Relationship to AASLD and OPTN, and the Challenges of Its Adoption. ACTA ACUST UNITED AC 2017. [DOI: 10.1007/s11901-017-0337-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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196
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Elsayes KM, Kielar AZ, Agrons MM, Szklaruk J, Tang A, Bashir MR, Mitchell DG, Do RK, Fowler KJ, Chernyak V, Sirlin CB. Liver Imaging Reporting and Data System: an expert consensus statement. J Hepatocell Carcinoma 2017; 4:29-39. [PMID: 28255543 PMCID: PMC5322844 DOI: 10.2147/jhc.s125396] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The increasing incidence and high morbidity and mortality of hepatocellular carcinoma (HCC) have inspired the creation of the Liver Imaging Reporting and Data System (LI-RADS). LI-RADS aims to reduce variability in exam interpretation, improve communication, facilitate clinical therapeutic decisions, reduce omission of pertinent information, and facilitate the monitoring of outcomes. LI-RADS is a dynamic process, which is updated frequently. In this article, we describe the LI-RADS 2014 version (v2014), which marks the second update since the initial version in 2011.
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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 Diagnostic Radiology, University of Ottawa, Ottawa, ON, Canada
| | - Michelle M Agrons
- Department of Diagnostic Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Janio Szklaruk
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - An Tang
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, QC, Canada
| | - Mustafa R Bashir
- Department of Diagnostic Radiology, Duke University School of Medicine, Durham, NC
| | - Donald G Mitchell
- Department of Diagnostic Radiology, Thomas Jefferson University, Philadelphia, PA
| | - Richard K Do
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kathryn J Fowler
- Mallinckrodt Institute of Radiology, Washington University in Saint Louis, Saint Louis, MO
| | - Victoria Chernyak
- Department of Radiology Albert Einstein College of Medicine, Bronx, New York, NY
| | - Claude B Sirlin
- Department of Diagnostic Radiology, University of California, San Diego, CA, USA
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197
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Ramalho M, Matos AP, AlObaidy M, Velloni F, Altun E, Semelka RC. Magnetic resonance imaging of the cirrhotic liver: diagnosis of hepatocellular carcinoma and evaluation of response to treatment - Part 1. Radiol Bras 2017; 50:38-47. [PMID: 28298731 PMCID: PMC5347502 DOI: 10.1590/0100-3984.2015.0132] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Magnetic resonance imaging (MRI) is the modern gold standard for the noninvasive evaluation of the cirrhotic liver. The combination of arterial phase hyperenhancement and delayed wash-out allows a definitive diagnosis of hepatocellular carcinoma (HCC) in patients with liver cirrhosis or chronic liver disease, without the requirement for confirmatory biopsy. That pattern is highly specific and has been endorsed in Western and Asian diagnostic guidelines. However, the sensitivity of the combination is relatively low for small HCCs. In this two-part review paper, we will address MRI of the cirrhotic liver. In this first part, we provide a brief background on liver cirrhosis and HCC, followed by descriptions of imaging surveillance of liver cirrhosis and the diagnostic performance of the different imaging modalities used in clinical settings. We then describe some of the requirements for the basic MRI technique, as well as the standard MRI protocol, and provide a detailed description of the appearance of various types of hepatocellular nodules encountered in the setting of the carcinogenic pathway in the cirrhotic liver, ranging from regenerative nodules to HCC.
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Affiliation(s)
- Miguel Ramalho
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA, and Hospital Garcia de Orta, Almada, Portugal
| | - António P Matos
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA, and Hospital Garcia de Orta, Almada, Portugal
| | - Mamdoh AlObaidy
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA, and King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Fernanda Velloni
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ersan Altun
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Richard C Semelka
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Sofue K, Burke LM, Nilmini V, Alagiyawanna M, Muir AJ, Choudhury KR, Jaffe TA, Semelka RC, Bashir MR. Liver imaging reporting and data system category 4 observations in MRI: Risk factors predicting upgrade to category 5. J Magn Reson Imaging 2017; 46:783-792. [DOI: 10.1002/jmri.25627] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 12/22/2016] [Indexed: 11/08/2022] Open
Affiliation(s)
- Keitaro Sofue
- Department of Radiology; Duke University Medical Center; Durham North Carolina USA
- Department of Radiology; Kobe University Graduate School of Medicine; Kobe Japan
| | - Lauren M.B. Burke
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Viragi Nilmini
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Madavi Alagiyawanna
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Andrew J. Muir
- Department of Medicine; Duke University Medical Center; Durham North Carolina USA
| | | | - Tracy A. Jaffe
- Department of Radiology; Duke University Medical Center; Durham North Carolina USA
| | - Richard C. Semelka
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Mustafa R. Bashir
- Department of Radiology; Duke University Medical Center; Durham North Carolina USA
- Center for Advanced Magnetic Resonance Development; Duke University Medical Center; Durham North Carolina USA
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199
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Chapman WC, Garcia-Aroz S, Vachharajani N, Fowler K, Saad N, Lin Y, Wellen J, Tan B, Khan AS, Doyle MBM. Liver Transplantation for Advanced Hepatocellular Carcinoma after Downstaging Without Up-Front Stage Restrictions. J Am Coll Surg 2017; 224:610-621. [PMID: 28069527 DOI: 10.1016/j.jamcollsurg.2016.12.020] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 12/19/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND The incidence of hepatocellular carcinoma (HCC) continues to increase dramatically worldwide. Liver transplantation (LT) is now the standard and optimal treatment for patients with HCC in the setting of cirrhosis, but only for tumors within Milan criteria. In patients presenting beyond Milan criteria, locoregional therapy (LRT) can downstage to within Milan criteria for consideration for LT. Although controversial, the current study aims to evaluate the outcomes of LT in patients presenting with advanced-stage HCC who underwent downstaging and compare these outcomes with those of patients who met Milan criteria at presentation. STUDY DESIGN Our protocol does not set a priori limitations as long as HCC is confined to the liver. In this retrospective study between January 1, 2002 and December 31, 2014, we reviewed outcomes associated with 284 patients who presented within Milan criteria and patients who presented with more-advanced stage tumor who were potential transplantation candidates. The patients with advanced disease were then subdivided into those who were within or beyond University of California San Francisco criteria. Imaging, details of LRT, recurrence, and survival were compared between the groups. RESULTS Sixty-three of 210 (30%) eligible patients were downstaged and underwent transplantation; 14 additional downstaged and listed patients were withdrawn for the following reasons: death while waiting (n = 4), disease progression (n = 8), development of other malignancy (n = 1), and declined LT (n = 1). Twelve patients underwent resection after downstaging and did not require LT. Survival for patients who were downstaged was similar to those who were within Milan criteria initially. Recurrence of HCC at 5 years was similar between groups (10.9% vs 10.8%; p = 0.84). CONCLUSIONS Patients with beyond-Milan criteria HCC who are otherwise candidates for LT should undergo aggressive attempts at downstaging without a priori exclusion. This highly selective approach allows for excellent long-term results, similar to patients presenting with earlier-stage disease.
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Affiliation(s)
- William C Chapman
- Department of Surgery, Washington University School of Medicine, St Louis, MO.
| | - Sandra Garcia-Aroz
- Department of Surgery, Washington University School of Medicine, St Louis, MO
| | - Neeta Vachharajani
- Department of Surgery, Washington University School of Medicine, St Louis, MO
| | - Kathryn Fowler
- Department of Radiology, Washington University School of Medicine, St Louis, MO
| | - Nael Saad
- Department of Radiology, Washington University School of Medicine, St Louis, MO
| | - Yiing Lin
- Department of Surgery, Washington University School of Medicine, St Louis, MO
| | - Jason Wellen
- Department of Surgery, Washington University School of Medicine, St Louis, MO
| | - Benjamin Tan
- Department of Medical Oncology, Washington University School of Medicine, St Louis, MO
| | - Adeel S Khan
- Department of Surgery, Washington University School of Medicine, St Louis, MO
| | - M B Majella Doyle
- Department of Surgery, Washington University School of Medicine, St Louis, MO
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Furlan A, Close O, Borhani A, Wu Y, Heller M. Respiratory-motion artefacts in liver MRI following injection of gadoxetate disodium and gadobenate dimeglumine: an intra-individual comparative study in cirrhotic patients. Clin Radiol 2017; 72:93.e1-93.e6. [DOI: 10.1016/j.crad.2016.08.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 06/27/2016] [Accepted: 08/05/2016] [Indexed: 10/21/2022]
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