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Abedrabbo N, Lerner E, Lam E, Kadi D, Dawit H, van der Pol C, Salameh JP, Naringrekar H, Adamo R, Alabousi M, Levis B, Tang A, Alhasan A, Arvind A, Singal A, Allen B, Bartnik K, Podgórska J, Furlan A, Cannella R, Dioguardi Burgio M, Cerny M, Choi SH, Clarke C, Jing X, Kierans A, Ronot M, Rosiak G, Jiang H, Song JS, Reiner CC, Joo I, Kwon H, Wang W, Rao SX, Diaz Telli F, Piñero F, Seo N, Kang HJ, Wang J, Min JH, Costa A, McInnes M, Bashir M. Is concurrent LR-5 associated with a higher rate of hepatocellular carcinoma in LR-3 or LR-4 observations? An individual participant data meta-analysis. Abdom Radiol (NY) 2025; 50:1533-1546. [PMID: 39333410 DOI: 10.1007/s00261-024-04580-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 09/09/2024] [Accepted: 09/09/2024] [Indexed: 09/29/2024]
Abstract
BACKGROUND The Liver Imaging Reporting and Data System (LI-RADS) does not consider factors extrinsic to the observation of interest, such as concurrent LR-5 observations. PURPOSE To evaluate whether the presence of a concurrent LR-5 observation is associated with a difference in the probability that LR-3 or LR-4 observations represent hepatocellular carcinoma (HCC) through an individual participant data (IPD) meta-analysis. METHODS Multiple databases were searched from 1/2014 to 2/2023 for studies evaluating the diagnostic accuracy of CT/MRI for HCC using LI-RADS v2014/2017/2018. The search strategy, study selection, and data collection process can be found at https://osf.io/rpg8x . Using a generalized linear mixed model (GLMM), IPD were pooled across studies and modeled simultaneously with a one-stage meta-analysis approach to estimate positive predictive value (PPV) of LR-3 and LR-4 observations without and with concurrent LR-5 for the diagnosis of HCC. Risk of bias was assessed using a composite reference standard and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). RESULTS Twenty-nine studies comprising 2591 observations in 1456 patients (mean age 59 years, 1083 [74%] male) were included. 587/1960 (29.9%) LR-3 observations in 1009 patients had concurrent LR-5. The PPV for LR-3 observations with concurrent LR-5 was not significantly different from the PPV without LR-5 (45.4% vs 37.1%, p = 0.63). 264/631 (41.8%) LR-4 observations in 447 patients had concurrent LR-5. The PPV for LR-4 observations with concurrent LR-5 was not significantly different from LR-4 observations without concurrent LR-5 (88.6% vs 69.5%, p = 0.08). A sensitivity analysis for low-risk of bias studies (n = 9) did not differ from the primary analysis. CONCLUSION The presence of concurrent LR-5 was not significantly associated with differences in PPV for HCC in LR-3 or LR-4 observations, supporting the current LI-RADS paradigm, wherein the presence of synchronous LR-5 may not alter the categorization of LR-3 and LR-4 observations.
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Affiliation(s)
| | - Emily Lerner
- Duke University School of Medicine, Durham, NC, USA
| | - Eric Lam
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Diana Kadi
- Duke University School of Medicine, Durham, NC, USA
| | | | - Christian van der Pol
- Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada
| | | | | | | | | | | | - An Tang
- University of Montreal, Montreal, Canada
| | | | - Ashwini Arvind
- The University of Texas Southwestern Medical Center, Dallas, USA
| | - Amit Singal
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Brian Allen
- Duke University School of Medicine, Durham, NC, USA
| | | | | | | | - Roberto Cannella
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | | | | | | | | | - Xiang Jing
- Tianjin Third Central Hospital, Tianjin, China
| | | | | | | | - Hanyu Jiang
- West China Hospital of Sichuan University, Chengdu, China
| | - Ji Soo Song
- Jeonbuk National University Medical School and Hospital, Jeonju, Republic of Korea
| | | | - Ijin Joo
- Seoul National University Hospital, Seoul, Republic of Korea
| | - Heejin Kwon
- Dong-A University Hospital, Busan, Republic of Korea
| | - Wentao Wang
- Zhongshan Hospital, Fudan University, Shanghai, China
| | | | - Federico Diaz Telli
- Images and Diagnosis Department, Universidad Austral, Buenos Aires, Argentina
| | - Federico Piñero
- Hepatology and Liver Transplant Unit, Universidad Austral, Buenos Aires, Argentina
| | - Nieun Seo
- Yonsei University Health System, Seoul, Republic of Korea
| | - Hyo-Jin Kang
- Seoul National University Hospital, Seoul, Republic of Korea
| | - Jin Wang
- Sun Yat-sen University, Guangzhou, China
| | - Ji Hye Min
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Andreu Costa
- Queen Elizabeth II Health Sciences Centre, Halifax, Canada
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Song Y, Zhang YY, Yu Q, Ma R, Xiao Y, Shen JK, Wei CG. Modified LR-5 criteria based on gadoxetic acid can improve the sensitivity in the diagnosis of hepatocellular carcinoma. World J Radiol 2025; 17:103822. [PMID: 40176954 PMCID: PMC11959622 DOI: 10.4329/wjr.v17.i3.103822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2024] [Revised: 01/24/2025] [Accepted: 02/21/2025] [Indexed: 03/27/2025] Open
Abstract
BACKGROUND Currently, only tumors classified as LR-5 are considered definitive hepatocellular carcinoma (HCC), and no further pathologic confirmation is required to initiate therapy. Previous studies have shown that the sensitivity of LR-5 is modest, and lesions enhanced by gadoxetic acid (Gd-EOB-DTPA) may exhibit lower sensitivity than those enhanced by Gd-DTPA. AIM To identify malignant ancillary features (AFs) that can independently and significantly predict HCC in Liver Imaging Reporting and Data System version 2018, and to develop modified LR-5 criteria to improve diagnostic performance on Gd-EOB-DTPA - enhanced magnetic resonance imaging. METHODS Imaging data from patients with HCC risk factors who underwent abdominal Gd-EOB-DTPA - enhanced magnetic resonance imaging were collected. Univariate and multivariate logistic regression analyses were performed to determine AFs that could independently and significantly predict HCC. The modified LR-5 criteria involved reclassifying LR-4/LR-3 lesions based on major features combined with independently significant AFs for HCC, or by substituting threshold growth with significant AFs. McNemar's test was used to compare the diagnostic performance of the modified LR-5 criteria. RESULTS A total of 244 lesions from 216 patients were included. Transitional phase hypointensity, mild - moderate T2 hyperintensity, and fat in mass (more than adjacent liver) were identified as significant independent predictors of HCC. Using the modified LR-5 criteria (e.g., LR-5-M1: LR-4 + transitional phase hypointensity; LR-5-M4: LR-5 by transitional phase hypointensity instead of threshold growth; LR-5-M5: LR-5 by mild - moderate T2 hyperintensity instead of threshold growth; LR-5-M8: LR-3/LR-4 + any two features of transitional phase hypointensity/mild - moderate T2 hyperintensity/fat in mass), sensitivities were significantly increased (88.5%-89.1%) compared to the standard LR-5 (60.6%; all P values < 0.05), while specificities (84.8%-89.9%) remained largely unchanged (93.7%; all P values > 0.05). The LR-5-M8 criterion achieved the highest sensitivity. CONCLUSION Mild - moderate T2 hyperintensity, transitional phase hypointensity, and fat in mass are independent and significant predictors of HCC malignant AFs. The modified LR-5 criteria can improve sensitivity without significantly reducing specificity.
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Affiliation(s)
- Yan Song
- Department of Radiology, Jieshou City People's Hospital (Jieshou Hospital Affiliated to Anhui Medical College), Fuyang 236500, Anhui Province, China
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215123, Jiangsu Province, China
| | - Yue-Yue Zhang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215123, Jiangsu Province, China
| | - Qin Yu
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215123, Jiangsu Province, China
- Department of Radiology, Dongtai City People's Hospital, Yancheng 224200, Jiangsu Province, China
| | - Rui Ma
- Department of Dialysis Center, Jieshou City People's Hospital (Jieshou Hospital Affiliated to Anhui Medical College), Fuyang 236500, Anhui Province, China
| | - Yue Xiao
- Department of Intensive Care Unit, Jieshou City People's Hospital (Jieshou Hospital Affiliated to Anhui Medical College), Fuyang 236500, Anhui Province, China
| | - Jun-Kang Shen
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215123, Jiangsu Province, China
| | - Chao-Gang Wei
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215123, Jiangsu Province, China
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Sangro B, Argemi J, Ronot M, Paradis V, Meyer T, Mazzaferro V, Jepsen P, Golfieri R, Galle P, Dawson L, Reig M. EASL Clinical Practice Guidelines on the management of hepatocellular carcinoma. J Hepatol 2025; 82:315-374. [PMID: 39690085 DOI: 10.1016/j.jhep.2024.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Accepted: 08/29/2024] [Indexed: 12/19/2024]
Abstract
Liver cancer is the third leading cause of cancer-related deaths worldwide, with hepatocellular carcinoma (HCC) accounting for approximately 90% of primary liver cancers. Advances in diagnostic and therapeutic tools, along with improved understanding of their application, are transforming patient treatment. Integrating these innovations into clinical practice presents challenges and necessitates guidance. These clinical practice guidelines offer updated advice for managing patients with HCC and provide a comprehensive review of pertinent data. Key updates from the 2018 EASL guidelines include personalised surveillance based on individual risk assessment and the use of new tools, standardisation of liver imaging procedures and diagnostic criteria, use of minimally invasive surgery in complex cases together with updates on the integrated role of liver transplantation, transitions between surgical, locoregional, and systemic therapies, the role of radiation therapies, and the use of combination immunotherapies at various stages of disease. Above all, there is an absolute need for a multiparametric assessment of individual risks and benefits, considering the patient's perspective, by a multidisciplinary team encompassing various specialties.
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Yoon JK, Han DH, Lee S, Choi JY, Choi GH, Kim DY, Kim MJ. Intraindividual comparison of prognostic imaging features of HCCs between MRIs with extracellular and hepatobiliary contrast agents. Liver Int 2024; 44:2847-2857. [PMID: 39105495 DOI: 10.1111/liv.16059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 07/18/2024] [Accepted: 07/24/2024] [Indexed: 08/07/2024]
Abstract
BACKGROUND & AIMS Accumulating evidence suggests that certain imaging features of hepatocellular carcinoma (HCC) may have prognostic implications. This study aimed to intraindividually compare MRIs with extracellular contrast agent (ECA-MRI) and hepatobiliary agent (HBA-MRI) for prognostic imaging features of HCC and to compare the prediction of microvascular invasion (MVI) and early recurrence between the two MRIs. METHODS The present study included 102 prospectively enrolled at-risk patients (median age, 61.0 years; 83 men) with surgically resected single HCC with both preoperative ECA-MRI and HBA-MRI between July 2019 and June 2023. The McNemar test was used to compare each prognostic imaging feature between the two MRIs. Significant imaging features associated with MVI were identified by multivariable logistic regression analysis, and early recurrence rates (<2 years) were compared between the two MRIs. RESULTS The frequencies of prognostic imaging features were not significantly different between the two MRIs (p = .07 to >.99). Non-smooth tumour margin (ECA-MRI, odds ratio [OR] = 5.30; HBA-MRI, OR = 7.07) and peritumoral arterial phase hyperenhancement (ECA-MRI, OR = 4.26; HBA-MRI, OR = 4.43) were independent factors significantly associated with MVI on both MRIs. Two-trait predictor of venous invasion (presence of internal arteries and absence of hypoattenuating halo) on ECA-MRI (OR = 11.24) and peritumoral HBP hypointensity on HBA-MRI (OR = 20.42) were other predictors of MVI. Early recurrence rates of any two or more significant imaging features (49.8% on ECA-MRI vs 51.3% on HBA-MRI, p = .75) were not significantly different between the two MRIs. CONCLUSION Prognostic imaging features of HCC may be comparable between ECA-MRI and HBA-MRI.
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Affiliation(s)
- Ja Kyung Yoon
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dai Hoon Han
- Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sunyoung Lee
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin-Young Choi
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Gi Hong Choi
- Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Do Young Kim
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Myeong-Jin Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
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Piñero F, Mauro E, Casciato P, Forner A. From evidence to clinical practice: Bridging the gap of new liver cancer therapies in Latin America. Ann Hepatol 2024; 29:101185. [PMID: 38042481 DOI: 10.1016/j.aohep.2023.101185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 10/26/2023] [Indexed: 12/04/2023]
Abstract
The most common primary liver tumors are hepatocellular carcinoma and cholangiocarcinoma. They constitute the sixth most common neoplasia and the third cause of cancer-related deaths worldwide. Although both tumors may share etiologic factors, diagnosis, prognostic factors, and treatments, they differ substantially in determining distinctive clinical management. In recent years, significant advances have been made in the management of these neoplasms, particularly in advanced stages. In this review, we focus on the most relevant diagnostic, prognostic, and treatment aspects of both, hepatocellular carcinoma and cholangiocarcinoma, underlying their applicability in Latin America.
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Affiliation(s)
- Federico Piñero
- Hospital Universitario Austral, Austral University, School of Medicine, Buenos Aires, Argentina.
| | - Ezequiel Mauro
- Barcelona Clinic Liver Cancer (BCLC) group. IDIBAPS. Barcelona. Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Spain; Liver Unit. Liver Oncology Unit. ICMDM. Hospital Clinic Barcelona. Barcelona, Spain
| | | | - Alejandro Forner
- Barcelona Clinic Liver Cancer (BCLC) group. IDIBAPS. Barcelona. Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Spain; Liver Unit. Liver Oncology Unit. ICMDM. Hospital Clinic Barcelona. Barcelona, Spain; University of Barcelona, Barcelona, Spain.
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Cannella R, Zins M, Brancatelli G. ESR Essentials: diagnosis of hepatocellular carcinoma-practice recommendations by ESGAR. Eur Radiol 2024; 34:2127-2139. [PMID: 38379018 PMCID: PMC10957713 DOI: 10.1007/s00330-024-10606-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 12/04/2023] [Accepted: 12/08/2023] [Indexed: 02/22/2024]
Abstract
Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide. Current guidelines for the noninvasive diagnosis of HCC are provided by the European Association for the Study of the Liver (EASL), the American Association for the Study of Liver Diseases (AASLD) which endorsed the Liver Imaging Reporting and Data System (LI-RADS) algorithm, the Korean Liver Cancer Association-National Cancer Center (KLCA-NCC), and the Asian-Pacific Association for the Study of the Liver (APASL). These allow the diagnosis of HCC in high-risk patients in the presence of typical imaging features on contrast-enhanced CT, MRI, or contrast-enhanced ultrasound. Size, non-rim arterial phase hyperenhancement, non-peripheral washout, enhancing capsule, and growth are major imaging features and they should be combined for the diagnosis of HCC. This article provides concise and relevant practice recommendations aimed at general radiologist audience, summarizing the best practice and informing on the essential imaging criteria for the diagnosis of HCC, while also discussing the high-risk population criteria, imaging modalities, and imaging features according to the current guidelines. KEY POINTS: • Noninvasive diagnosis of hepatocellular carcinoma (HCC) can be provided only in patients at high risk. • Contrast-enhanced CT or MRI are the first-line imaging exams for the diagnosis of HCC. • Major imaging features should be combined to provide the diagnosis of definitive HCC.
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Affiliation(s)
- Roberto Cannella
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.
| | - Marc Zins
- Department of Radiology, Saint Joseph and Marie Lannelongue Hospitals, Paris, France
| | - Giuseppe Brancatelli
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
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Delagnes A, Roux M, Vilgrain V, Guiu B, Laurent V, Sutter O, Bricault I, Trillaud H, Aubé C, Paisant A. Fat-containing hepatocellular carcinoma in patients with cirrhosis: proposal of a diagnostic modification regarding enhancement characteristics. Eur Radiol 2024; 34:2283-2293. [PMID: 37816923 DOI: 10.1007/s00330-023-10236-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 07/28/2023] [Accepted: 08/03/2023] [Indexed: 10/12/2023]
Abstract
OBJECTIVES The aim of this study was to develop and validate an algorithm for the non-invasive diagnosis of these fat-containing HCCs. METHODS Eighty-four cirrhotic patients with 77 fat-containing HCCs and 11 non-HCC fat-containing nodules were retrospectively included. All MRIs were reviewed; nodule characteristics, European Association for the Study of the Liver (EASL) and LI-RADS classifications, and survival were collected. One of the major features of LI-RADS v2018 (non-rim-like arterial phase hyperenhancement [APHE]) was changed to include different enhancing patterns at arterial phase and a new fat-LI-RADS algorithm was created for fat-containing nodules in cirrhosis. Its diagnostic performance was evaluated in both a derivation and external validation cohort (external cohort including 58 fat-containing HCCs and 10 non-HCC fat nodules). Reproducibility of this new algorithm was assessed. RESULTS In the derivation cohort, 54/77 (70.1%) fat-containing HCCs had APHE, 62/77 (80.5%) had enhancement compared to the nodule itself at arterial phase (APE), 43/77 (55.8%) had washout, and 20/77 (26.0%) had an enhancing capsule. EASL and LI-RADS had a sensitivity of 37.7% (29/77) and 36.4% (28/77), respectively, for the diagnosis of fat-containing HCC and both had a specificity of 100% (11/11). The new fat-LI-RADS algorithm increased sensitivity to 50.6% (39/77) without decreasing the specificity of 100% (11/11). The validation cohort confirmed the increased sensitivity, with a slight decrease in specificity. The concordance for the diagnosis of HCC for fat-LR5 was 85.3% (58/68). CONCLUSION The new fat-LI-RADS algorithm proposed here significantly improves the performance of the non-invasive diagnosis of fat-containing HCC and thus could reduce the number of biopsies conducted for fat-containing HCCs. CLINICAL RELEVANCE STATEMENT The European Association for the Study of the Liver and LI-RADS guidelines are poorly sensitive for the diagnosis of fat-containing HCC, mainly because of the low rate of arterial phase hyperenhancement (APHE) displayed by fat-containing HCC. Using all types of enhancement instead of APHE improves sensitivity of LI-RADS. KEY POINTS • Fat-containing HCCs on MRI account for 7.5% of HCCs and have different imaging characteristics from non-fatty HCCs. • The European Association for the Study of the Liver and LI-RADS algorithms for the non-invasive diagnosis of HCC have low sensitivity for the diagnosis of fat-containing HCC with MRI (37.7% and 36.4%, respectively). • The new fat-LI-RADS, which includes a slight modification of the "arterial enhancement" criterion, improves the sensitivity for the diagnosis of fat-containing HCC using MRI, without degrading the specificity.
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Affiliation(s)
- Anaïs Delagnes
- Department of Radiology, Angers University Hospital, 4 Rue Larrey, 49933, Angers, France.
| | - Marine Roux
- HIFIH Laboratory, EA 3859, UNIV Angers, 49045, Angers, France
| | - Valérie Vilgrain
- Department of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, France
- INSERM U1149, CRI, University Paris Diderot, Paris, France
| | - Boris Guiu
- Department of Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, Montpellier, France
| | - Valérie Laurent
- Department of Radiology, Nancy University Hospital, Lorraine University, 54500, Vandœuvre-Lès-Nancy, France
| | - Olivier Sutter
- Department of Radiology, Avicenne Hospital, Paris-Seine-Saint-Denis University Hospitals, Assistance-Publique Hôpitaux de Paris, 93000, Bobigny, France
| | - Ivan Bricault
- Laboratory of Techniques for Biomedical Engineering and Complexity Management, University Grenoble Alpes, National Center for Scientific Research, Grenoble, France
- Department of Radiology and Medical Imaging, University Hospital, Grenoble, La Tronche, France
| | - Hervé Trillaud
- Department of Diagnostic and Interventional Radiology, University Hospital Bordeaux, 33600, Pessac, France
- EA Imotion, University of Bordeaux, 33076, Bordeaux, France
| | - Christophe Aubé
- Department of Radiology, Angers University Hospital, 4 Rue Larrey, 49933, Angers, France
- HIFIH Laboratory, EA 3859, UNIV Angers, 49045, Angers, France
| | - Anita Paisant
- Department of Radiology, Angers University Hospital, 4 Rue Larrey, 49933, Angers, France
- HIFIH Laboratory, EA 3859, UNIV Angers, 49045, Angers, France
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García-Criado Á, Rimola J, Seijo S, Darnell A, Belmonte E, Sapena V, Moreno-Rojas J, Pérez V, Hernández-Gea V, Ayuso C, Reig M, García-Pagán JC, Bruix J. MRI Using Gadoxetic Acid in the Work-Up of Liver Nodules Not Conclusively Benign in Budd-Chiari Syndrome: A Prospective Long-Term Follow-Up. Liver Cancer 2024; 13:203-214. [PMID: 38751551 PMCID: PMC11095625 DOI: 10.1159/000533598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 08/11/2023] [Indexed: 05/18/2024] Open
Abstract
Introduction The incidence of hepatocellular carcinoma (HCC) in Budd-Chiari syndrome (BCS) is unknown and there is no validated diagnostic work-up to define the liver nodules with arterial phase hyperenhancement (APHE), suggesting malignancy. This prospective study evaluates HCC incidence in a Western cohort of patients with BCS and assesses the performance of MRI with hepatobiliary contrast (HB-MRI) for nodule characterization. Methods Patients with BCS followed in our hospital were prospectively evaluated by MRI with extracellular contrast (EC-MRI). Nodules with APHE categorized as non-conclusively benign by 2 radiologists were studied by HB-MRI and reviewed by 2 radiologists blinded to the EC-MRI results. A new EC-MRI 1 year later and clinical, analytical, and sonographic follow-up every 6 months for a median of 10 years was performed. Results A total of 55 non-conclusively benign nodules with APHE were detected at EC-MRI in 41 patients. While 32 of them were suggestive of HCC by EC-MRI, all the 55 nodules showed increased uptake of hepatobiliary contrast. An unequivocal central scar was seen in 12/55 nodules at HB-MRI regardless of it was not detected on the EC-MRI. None of the nodules was hypointense in the hepatobiliary phase (HBP). HCC was not detected during a median of 10 years of follow-up. Conclusions Detection of nodules with APHE is frequent in patients with BCS, but HCC is rare in Western patients with BCS. While EC-MRI may detect nodules suggesting malignancy, the identification of contrast uptake in the HBP at HB-MRI may help categorize them as benign.
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Affiliation(s)
- Ángeles García-Criado
- Radiology Department, CDI, BCLC Group, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Jordi Rimola
- Radiology Department, CDI, BCLC Group, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Susana Seijo
- Liver Unit, Barcelona Hepatic Hemodynamic Laboratory, ICMDM, IDIBAPS, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Anna Darnell
- Radiology Department, CDI, BCLC Group, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Ernest Belmonte
- Radiology Department, CDI, BCLC Group, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Víctor Sapena
- BCLC group, Statistics core, Medical Statistics Core Facility, IDIBAPS, Hospital Clínic of Barcelona, Barcelona, Spain
| | - Julián Moreno-Rojas
- Radiology Department, CDI, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Valeria Pérez
- Liver Unit, Barcelona Hepatic Hemodynamic Laboratory, ICMDM, IDIBAPS, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Virginia Hernández-Gea
- Liver Unit, Barcelona Hepatic Hemodynamic Laboratory, ICMDM, IDIBAPS, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
- Health Care Provider of the European Reference Network on Rare Liver Disorders (ERN-Liver), Barcelona, Spain
| | - Carmen Ayuso
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
- Radiology Department, CDI, BCLC Group, IDIBAPS Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | - María Reig
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
- Health Care Provider of the European Reference Network on Rare Liver Disorders (ERN-Liver), Barcelona, Spain
- BCLC group, Liver Unit, ICMDM, IDIBAPS, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Juan Carlos García-Pagán
- Liver Unit, Barcelona Hepatic Hemodynamic Laboratory, ICMDM, IDIBAPS, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
- Health Care Provider of the European Reference Network on Rare Liver Disorders (ERN-Liver), Barcelona, Spain
| | - Jordi Bruix
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
- Health Care Provider of the European Reference Network on Rare Liver Disorders (ERN-Liver), Barcelona, Spain
- BCLC group, Liver Unit, ICMDM, IDIBAPS, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
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Min JH, Kim YK. Performance of HCC diagnosis in the KLCA-NCC guidelines: a closer look at MRI contrast agents and HCC imaging hallmarks. JOURNAL OF LIVER CANCER 2024; 24:7-8. [PMID: 37927042 PMCID: PMC10990671 DOI: 10.17998/jlc.2023.10.08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 10/08/2023] [Indexed: 03/12/2024]
Affiliation(s)
- Ji Hye Min
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young Kon Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Hu W, Lyu R, Wang D, Gao Z, Sun C, Jia K. Liver imaging reporting and data system diagnostic performance in hepatocellular carcinoma when modifying the definition of "washout" on gadoxetic acid-enhanced magnetic resonance imaging. Arab J Gastroenterol 2024; 25:58-63. [PMID: 38245474 DOI: 10.1016/j.ajg.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 08/12/2023] [Accepted: 12/31/2023] [Indexed: 01/22/2024]
Abstract
BACKGROUND AND STUDY AIMS The sensitivity of the Liver Imaging Reporting and Data System (LI-RADS) in the diagnosis of hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance imaging (EOB-MRI) was suboptimal. This study evaluated the LI-RADS diagnostic performance in HCC when modifying the definition of washout using the transition phase (TP) or hepatobiliary phase (HBP) hypointensity on EOB-MRI. PATIENTS AND METHODS This retrospective study included patients at high risk of HCC who underwent EOB-MRI from June 2016 to June 2021. Three modified LI-RADS (mLI-RADS) algorithms were formulated according to different definitions of washout as follows: (a) portal venous phase (PVP) or TP hypointensity, (b) PVP or HBP hypointensity, and (c) PVP or TP or HBP hypointensity. Diagnostic performance, including sensitivity, specificity, and accuracy, was compared between mLI-RADS and LI-RADS v2018 using McNemar's test. RESULTS A total of 379 patients with 426 pathologically confirmed hepatic observations (250 HCCs, 88 nonHCC malignancies, and 88 benign lesions) were included in our study. The sensitivity rates of mLI-RADS a-c (80.0 %, 80.8 %, and 80.8 %) were all higher than that of LI-RADS v2018 (74.4 %) (all p < 0.05). The specificity rates of mLI-RADS a-c (86.9 %, 85.8 %, and 85.8 %) were all slightly lower than that of LI-RADS v2018 (88.6 %), although no statistically significant difference was noted (all p > 0.05). The accuracies of the three mLI-RADS algorithms were the same and were all higher than that of LI-RADS v2018 (82.9 % vs. 80.3 %, all p < 0.05). CONCLUSION When the definition of washout appearance was extended to TP or HBP hypointensity on EOB-MRI, the diagnostic sensitivity of LI-RADS for HCC improved without decreasing specificity.
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Affiliation(s)
- Weijuan Hu
- Department of Radiology, The Third Central Hospital of Tianjin, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, No. 83 Jintang Road, Hedong District, Tianjin 300170, China
| | - Rong Lyu
- Department of Radiology, The Third Central Hospital of Tianjin, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, No. 83 Jintang Road, Hedong District, Tianjin 300170, China.
| | - Di Wang
- Department of Radiology, The Third Central Hospital of Tianjin, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, No. 83 Jintang Road, Hedong District, Tianjin 300170, China
| | - Zhongsong Gao
- Department of Radiology, The Third Central Hospital of Tianjin, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, No. 83 Jintang Road, Hedong District, Tianjin 300170, China
| | - Cheng Sun
- Department of Radiology, The Third Central Hospital of Tianjin, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, No. 83 Jintang Road, Hedong District, Tianjin 300170, China
| | - Kefeng Jia
- Department of Radiology, The Third Central Hospital of Tianjin, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, No. 83 Jintang Road, Hedong District, Tianjin 300170, China
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Sheng L, Wei H, Yang T, Yang J, Zhang L, Zhu X, Jiang H, Song B. Extracellular contrast agent-enhanced MRI is as effective as gadoxetate disodium-enhanced MRI for predicting microvascular invasion in HCC. Eur J Radiol 2024; 170:111200. [PMID: 37995512 DOI: 10.1016/j.ejrad.2023.111200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/31/2023] [Accepted: 11/13/2023] [Indexed: 11/25/2023]
Abstract
PURPOSE To compare the performances of gadoxetate disodium-enhanced MRI (EOB-MRI) and extracellular contrast agent-enhanced MRI (ECA-MRI) for predicting microvascular invasion (MVI) in HCC. MATERIALS AND METHODS From November 2009 to December 2021, consecutive HCC patients who underwent preoperative contrast-enhanced MRI were retrospectively enrolled into either an ECA-MRI or EOB-MRI cohort. In the ECA-MRI cohort, a preoperative MVI score was constructed in the training dataset using a logistic regression model that evaluated pathological type. In a propensity score-matched testing dataset of the ECA-MRI cohort, the MVI score was validated and compared with a previously proposed EOB-MRI-based MVI score calculated in the EOB-MRI cohort. Time-to-early recurrence survival was evaluated by the Kaplan-Meier method with the log-rank test. RESULTS A total of 536 patients were included (478 men; 53 years, interquartile range, 46-62 years), 322 (60.1 %) with pathologically confirmed MVI. Based on the training dataset, independent variables associated with MVI included serum alpha-fetoprotein > 400 ng/ml (odds ratio [OR] = 2.3), infiltrative appearance (OR = 4.9), internal artery (OR = 2.5) and nodule-in-nodule architecture (OR = 2.4), which were incorporated into the ECA-MRI-based MVI score. The testing dataset AUC of the ECA-MRI score was 0.720, which was comparable to that of the EOB-MRI-based MVI score (AUC = 0.721; P =.99). Patients from either the ECA-MRI or the EOB-MRI cohort with model-predicted MVI had significantly shorter time-to-early recurrence than those without MVI (P <.001). CONCLUSION Based on the preoperative serum alpha-fetoprotein and three MRI features, ECA-MRI demonstrated comparable performance to EOB-MRI for predicting MVI in HCC.
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Affiliation(s)
- Liuji Sheng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hong Wei
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ting Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jie Yang
- Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lin Zhang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiaomei Zhu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiology, Sanya People's Hospital, Sanya, Hainan, China.
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12
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Wu Y, Xia C, Chen J, Qin Q, Ye Z, Song B. Diagnostic performance of magnetic resonance imaging and contrast-enhanced ultrasound in differentiating intrahepatic cholangiocarcinoma from hepatocellular carcinoma: a meta-analysis. Abdom Radiol (NY) 2024; 49:34-48. [PMID: 37823913 DOI: 10.1007/s00261-023-04064-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/11/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023]
Abstract
PURPOSE To compare the diagnostic ability between magnetic resonance imaging (MRI) and contrast-enhanced ultrasound (CEUS) in distinguishing intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC). METHODS Original studies reporting the diagnostic accuracy of MRI and CEUS in differentiating ICC from HCC were identified in PubMed and EMBASE databases. Histopathological examination was used as the reference standard for tumor diagnosis. Study quality was assessed using QUADAS-2 scale. Data were extracted to calculate the pooled diagnostic sensitivity, specificity, and diagnostic odds ratio (DOR) using a bivariate random-effects model, as well as the area under the curve (AUC). Sensitivity analysis, subgroup analysis, meta-regression, and investigation of publication bias were also performed. RESULTS A total of 26 studies with 28 data subsets (18 on MRI, 10 on CEUS) were included, consisting of 4169 patients with 1422 ICC lesions and 2747 HCC lesions. Most MRI studies were performed at 3T with hepatobiliary agents, and most CEUS studies used SonoVue as the contrast agent. In MRI, the pooled sensitivity, specificity, DOR, and AUC in distinguishing ICC from HCC were 0.81 (0.79, 0.84), 0.90 (0.88, 0.91), 41.47 (24.07, 71.44), and 0.93 (0.90, 0.96), respectively. The pooled sensitivity, specificity, DOR, and AUC of CEUS were 0.88 (0.84, 0.90), 0.80 (0.78, 0.83), 42.06 (12.38, 133.23), and 0.93 (0.87, 0.99), respectively. Subgroup analysis and meta-regression analysis demonstrated significant heterogeneity among the studies associated with the type of contrast agent in MRI studies. No publication bias was found. CONCLUSION Both MRI and CEUS showed excellent diagnostic performance in differentiating ICC from HCC. CEUS showed higher pooled sensitivity and MRI showed higher pooled specificity.
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Affiliation(s)
- Yingyi Wu
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Chunchao Xia
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Jie Chen
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Qin Qin
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Zheng Ye
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China.
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China.
- Department of Radiology, Sanya People's Hospital, Sanya, Hainan, China.
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Taouli B, Ba-Ssalamah A, Chapiro J, Chhatwal J, Fowler K, Kang TW, Knobloch G, Koh DM, Kudo M, Lee JM, Murakami T, Pinato DJ, Ringe KI, Song B, Tabrizian P, Wang J, Yoon JH, Zeng M, Zhou J, Vilgrain V. Consensus report from the 10th Global Forum for Liver Magnetic Resonance Imaging: developments in HCC management. Eur Radiol 2023; 33:9152-9166. [PMID: 37500964 PMCID: PMC10730664 DOI: 10.1007/s00330-023-09928-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 05/15/2023] [Accepted: 05/23/2023] [Indexed: 07/29/2023]
Abstract
The 10th Global Forum for Liver Magnetic Resonance Imaging (MRI) was held as a virtual 2-day meeting in October 2021, attended by delegates from North and South America, Asia, Australia, and Europe. Most delegates were radiologists with experience in liver MRI, with representation also from specialists in liver surgery, oncology, and hepatology. Presentations, discussions, and working groups at the Forum focused on the following themes: • Gadoxetic acid in clinical practice: Eastern and Western perspectives on current uses and challenges in hepatocellular carcinoma (HCC) screening/surveillance, diagnosis, and management • Economics and outcomes of HCC imaging • Radiomics, artificial intelligence (AI) and deep learning (DL) applications of MRI in HCC. These themes are the subject of the current manuscript. A second manuscript discusses multidisciplinary tumor board perspectives: how to approach early-, mid-, and late-stage HCC management from the perspectives of a liver surgeon, interventional radiologist, and oncologist (Taouli et al, 2023). Delegates voted on consensus statements that were developed by working groups on these meeting themes. A consensus was considered to be reached if at least 80% of the voting delegates agreed on the statements. CLINICAL RELEVANCE STATEMENT: This review highlights the clinical applications of gadoxetic acid-enhanced MRI for liver cancer screening and diagnosis, as well as its cost-effectiveness and the applications of radiomics and AI in patients with liver cancer. KEY POINTS: • Interpretation of gadoxetic acid-enhanced MRI differs slightly between Eastern and Western guidelines, reflecting different regional requirements for sensitivity vs specificity. • Emerging data are encouraging for the cost-effectiveness of gadoxetic acid-enhanced MRI in HCC screening and diagnosis, but more studies are required. • Radiomics and artificial intelligence are likely, in the future, to contribute to the detection, staging, assessment of treatment response and prediction of prognosis of HCC-reducing the burden on radiologists and other specialists and supporting timely and targeted treatment for patients.
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Affiliation(s)
- Bachir Taouli
- Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Ahmed Ba-Ssalamah
- Department of Biomedical Imaging and Image-guided therapy, Medical University of Vienna, Vienna, Austria
| | - Julius Chapiro
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Jagpreet Chhatwal
- Department of Radiology, Institute for Technology Assessment, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kathryn Fowler
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Tae Wook Kang
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Gesine Knobloch
- Global Medical and Clinical Affairs and Digital Development, Radiology, Bayer Pharmaceuticals, Berlin, Germany
| | - Dow-Mu Koh
- Department of Diagnostic Radiology, Royal Marsden Hospital, Sutton, UK
| | - Masatoshi Kudo
- Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, South Korea
| | - Takamichi Murakami
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - David J Pinato
- Department of Surgery & Cancer, Imperial College London, Hammersmith Hospital, London, UK
- Division of Oncology, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Kristina I Ringe
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Parissa Tabrizian
- Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jin Wang
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
- Liver Disease Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, South Korea
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Jian Zhou
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Valérie Vilgrain
- Université Paris Cité and Department of Radiology, Assistance-Publique Hôpitaux de Paris, APHP Nord, Hôpital Beaujon, Clichy, France
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14
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Coll-Font J, Nguyen C. Editorial for "IOP Injection, A Novel Superparamagnetic Iron Oxide Particle MRI Contrast Agent for the Detection of Hepatocellular Carcinoma: A Phase II Clinical Trial". J Magn Reson Imaging 2023; 58:1189-1190. [PMID: 36820512 DOI: 10.1002/jmri.28657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 02/06/2023] [Indexed: 02/24/2023] Open
Affiliation(s)
| | - Christopher Nguyen
- Cardiovascular Innovation Research Center, Cleveland Clinic, Cleveland, Ohio, USA
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15
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Bouyer T, Roux M, Jacquemin S, Dioguardi Burgio M, Sutter O, Laurent-Croisé V, Lonjon J, Bricault I, Trillaud H, Rode A, Aubé C, Paisant A. Detection of arterial phase hyperenhancement of small hepatocellular carcinoma with MRI: Comparison between single arterial and multi-arterial phases and between extracellular and hepatospecific contrast agents. Diagn Interv Imaging 2023; 104:477-484. [PMID: 37211446 DOI: 10.1016/j.diii.2023.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/21/2023] [Accepted: 04/21/2023] [Indexed: 05/23/2023]
Abstract
PURPOSE The purpose of this study was to compare the detection rate of arterial phase hyperenhancement (APHE) in small hepatocellular carcinoma (HCC) between single arterial phase (single-AP) and triple hepatic arterial (triple-AP) phase MRI and between extracellular (ECA) and hepato-specific (HBA) contrast agents. MATERIALS AND METHODS A total of 109 cirrhotic patients with 136 HCCs from seven centers were included. There were 93 men and 16 women, with a mean age of 64.0 ± 8.9 (standard deviation) years (range: 42-82 years). Each patient underwent both ECA-MRI and HBA (gadoxetic acid)-MRI examination within one month of each other. Each MRI examination was retrospectively reviewed by two readers blinded to the second MRI examination. The sensitivities of triple- and single-AP for the detection of APHE were compared, and each phase of the triple-AP sequence was compared with the other two. RESULTS No differences in APHE detection were found between single-AP (97.2%; 69/71) and triple-AP (98.5%; 64/65) (P > 0.99) at ECA-MRI. No differences in APHE detection were found between single-AP (93%; 66/71) and triple-AP (100%; 65/65) at HBA-MRI (P = 0.12). Patient age, size of the nodules, use of automatic triggering, type of contrast agent, and type of sequence were not significantly associated with APHE detection. The reader was the single variable significantly associated with APHE detection. For triple-AP, best APHE detection rate was found for early and middle-AP images compared to late-AP images (P = 0.001 and P = 0.003). All APHEs were detected with the combination of early-AP and middle-AP images, except one that was detected on late-AP images by one reader. CONCLUSION Our study suggests that both single- and triple-AP can be used in liver MRI for the detection of small HCC especially when using ECA. Early AP and middle-AP are the most efficient phases and should be preferred for detecting APHE, regardless of the contrast agent used.
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Affiliation(s)
- Thomas Bouyer
- Department of Radiology, Centre Hospitalier Universitaire d'Angers, 49933 Angers, France.
| | - Marine Roux
- Laboratoire HIFIH, UPRES 3859, SFR 4208, Université d'Angers, 49045 Angers, France
| | - Sarah Jacquemin
- Department of Radiology, Centre Hospitalier Universitaire d'Angers, 49933 Angers, France
| | - Marco Dioguardi Burgio
- Department of Radiology, Hôpital Beaujon, APHP Nord, 92110 Clichy, France; Université de Paris, Centre de recherche sur l'inflammation, INSERM, U1149, CNRS, ERL8252, Paris, 75018, France
| | - Olivier Sutter
- Department of Radiology, Hôpital Jean Verdier, Hôpitaux Universitaires Paris-Seine-Saint-Denis (AP-HP), 93140 Bondy, France
| | - Valérie Laurent-Croisé
- Department of Radiology, Centre Hospitalier Universitaire de Nancy, Hôpital de Brabois, 54500 Vandœuvre-lès-Nancy, France
| | - Julie Lonjon
- Department of Radiology, Centre Hospitalier Universitaire Saint Eloi, 34090 Montpellier, France
| | - Ivan Bricault
- Université Grenoble Alpes, CNRS, 38400 Grenoble, France; Department of Radiology, Centre Hospitalier Universitaire Grenoble Alpes, 38700 Grenoble, France
| | - Hervé Trillaud
- Department of Radiology, Centre Hospitalier Universitaire de Bordeaux, 33000 Bordeaux, France
| | - Agnès Rode
- Department of Radiology, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Centre Hospitalier Universitaire, 69317 Lyon Cedex 04, France
| | - Christophe Aubé
- Department of Radiology, Centre Hospitalier Universitaire d'Angers, 49933 Angers, France; Laboratoire HIFIH, UPRES 3859, SFR 4208, Université d'Angers, 49045 Angers, France
| | - Anita Paisant
- Department of Radiology, Centre Hospitalier Universitaire d'Angers, 49933 Angers, France; Laboratoire HIFIH, UPRES 3859, SFR 4208, Université d'Angers, 49045 Angers, France
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Bizeul J, Ronot M, Roux M, Cannella R, Lebigot J, Aubé C, Paisant A. Evaluation of washout using subtraction MRI for the diagnosis of hepatocellular carcinoma in cirrhotic patients with spontaneously T1-hyperintense nodules. Diagn Interv Imaging 2023; 104:427-434. [PMID: 37120391 DOI: 10.1016/j.diii.2023.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 04/04/2023] [Accepted: 04/12/2023] [Indexed: 05/01/2023]
Abstract
PURPOSE The purpose of this study was to assess the value of subtraction imaging on post-arterial phase images (i.e., portal venous, delayed/transitional and hepatobiliary phases) for the non-invasive diagnosis of hepatocellular carcinoma (HCC) in spontaneously hyperintense nodules on T1-weighted imaging in patients with cirrhosis. MATERIALS AND METHODS Forty-five patients with a total 55 hepatic nodules that were spontaneously hyperintense on T1-weighted images were initially retrieved. All patients underwent MRI examination of the liver using extracellular agent. Each nodule was assessed for sensitivity and specificity using LI-RADS (Liver Imaging Reporting and Data System) during two reading sessions performed first without then with subtraction images on post-arterial phase images. The final standard of reference was defined by a step-by-step algorithm previously published combining histology, typical imaging, alfa fetoprotein and follow-up. RESULTS Forty-six nodules (26 HCC) in 39 patients with cirrhosis were analyzed. Using LI-RADS, the sensitivity and specificity for the diagnosis of HCC were 64% (95% CI: 41-83) and 67% (95% CI: 41-87) without subtraction; and 73% (95% CI: 50-89) (P > 0.999) and 33% (95% CI: 13-59) (P = 0.553) on subtraction imaging using extracellular contrast agent. Fifty-five percent (22/40) of nodules displayed a washout without subtraction and 70% (28/40) did so on subtraction imaging obtained with extracellular contrast agent. Twenty nodules out of 40 (50%) were classified LI-RADS 5 without subtraction, and 28 out of 40 nodules (70%) with subtraction. CONCLUSION The results of this study suggest that the use of subtraction imaging on post-arterial phase images (i.e., PVP, DP/TP and HBP) is not relevant for the non-invasive diagnosis of HCC for spontaneously hyperintense nodules on T1-weighted images in patients with liver cirrhosis.
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Affiliation(s)
- Jocelyn Bizeul
- Department of Radiology, Angers University Hospital (Centre Hospitalier Universitaire d'Angers), 49000 Angers, France.
| | - Maxime Ronot
- Université Paris Cité, INSERM U1149 "Center for Inflammation Research" (Centre de Recherche sur l'Inflammation), CRI, Paris, & Department of Radiology, Hôpital Beaujon, AP-HP Nord, 92110 Clichy, France
| | - Marine Roux
- HIFIH Laboratory, UPRES 3859, SFR 4208, University of Angers, 49045 Angers, France
| | - Roberto Cannella
- Université Paris Cité, INSERM U1149 "Center for Inflammation Research" (Centre de Recherche sur l'Inflammation), CRI, Paris, & Department of Radiology, Hôpital Beaujon, AP-HP Nord, 92110 Clichy, France; Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University Hospital "Paolo Giaccone", 90127 Palermo, Italy; Department of Health Promotion Sciences, Mother and Child Care, Internal Medicine and Medical Specialties, PROMISE, University of Palermo, 90127 Palermo, Italy
| | - Jérôme Lebigot
- Department of Radiology, Angers University Hospital (Centre Hospitalier Universitaire d'Angers), 49000 Angers, France; HIFIH Laboratory, UPRES 3859, SFR 4208, University of Angers, 49045 Angers, France
| | - Christophe Aubé
- Department of Radiology, Angers University Hospital (Centre Hospitalier Universitaire d'Angers), 49000 Angers, France; HIFIH Laboratory, UPRES 3859, SFR 4208, University of Angers, 49045 Angers, France
| | - Anita Paisant
- Department of Radiology, Angers University Hospital (Centre Hospitalier Universitaire d'Angers), 49000 Angers, France; HIFIH Laboratory, UPRES 3859, SFR 4208, University of Angers, 49045 Angers, France
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Li L, Zou X, Zheng W, Li Y, Xu X, Li K, Su Z, Han J, Li Q, Zuo Y, Xie S, Wen H, Wang J, Guo Z, Zou R, Zhou J. Contrast-enhanced US with Sulfur Hexafluoride and Perfluorobutane: LI-RADS for Diagnosing Hepatocellular Carcinoma. Radiology 2023; 308:e230150. [PMID: 37642573 DOI: 10.1148/radiol.230150] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Background Liver Imaging Reporting and Data System (LI-RADS) was designed for contrast-enhanced US (CEUS) with pure blood pool agents to diagnose hepatocellularfcarcinoma (HCC), such as sulfur hexafluoride (SHF), but Kupffer-cell agents, such as perfluorobutane (PFB), allow additional lesion characterization in the Kupffer phase yet remain unaddressed. Purpose To compare the diagnostic performance of three algorithms for HCC diagnosis: two algorithms based on CEUS LI-RADS version 2017 for both SHF and PFB and a modified algorithm incorporating Kupffer-phase findings for PFB. Materials and Methods This multicenter prospective study enrolled high-risk patients for HCC from June 2021 to December 2021. Each participant underwent same-day SHF-enhanced US followed by PFB-enhanced US. Each liver observation was assigned three LI-RADS categories according to each algorithm: LI-RADS SHF, LI-RADS PFB, and modified PFB. For modified PFB, observations at least 10 mm with nonrim arterial phase hyperenhancement were upgraded LR-4 to LR-5 if there was no washout with a Kupffer defect and were reassigned LR-M to LR-5 if there was early washout with mild Kupffer defect. The reference standard was pathologic confirmation or composite (typical CT or MRI features, or 1-year size stability and/or reduction). Diagnostic metrics of LR-5 for HCC using the three algorithms were calculated and compared using the McNemar test. Results Overall, 375 patients (mean age, 56 years ± 11 [SD]; 318 male patients, 57 female patients) with 424 observations (345 HCCs, 40 non-HCC malignancies, 39 benign lesions) were enrolled. PFB and SHF both using LI-RADS showed no significant difference in sensitivity (60% vs 58%; P = .41) and specificity (96% vs 95%; P > .99). The modified algorithm with PFB had increased sensitivity (80% vs 58%; P < .001) and a nonsignificant decrease in specificity (92% vs 95%; P = .73) compared with LI-RADS SHF. Conclusion Based on CEUS LI-RADS version 2017, both SHF and PFB achieved high specificity and relatively low sensitivity for HCC diagnosis. When incorporating Kupffer-phase findings, PFB had higher sensitivity without loss of specificity. Chinese Clinical Trial Registry no. ChiCTR2100047035 © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Kim in this issue.
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Affiliation(s)
- Lingling Li
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Xuebin Zou
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Wei Zheng
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Yu Li
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Xiaohong Xu
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Kai Li
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Zhongzhen Su
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Jing Han
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Qing Li
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Yanling Zuo
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Shousong Xie
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Hong Wen
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Jianwei Wang
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Zhixing Guo
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Ruhai Zou
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Jianhua Zhou
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
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Jang HJ, Choi SH, Choi SJ, Choi WM, Byun JH, Won HJ, Shin YM. LI-RADS version 2018 for hepatocellular carcinoma < 1.0 cm on gadoxetate disodium-enhanced magnetic resonance imaging. Eur Radiol 2023; 33:5792-5800. [PMID: 37017700 DOI: 10.1007/s00330-023-09554-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 02/04/2023] [Accepted: 02/22/2023] [Indexed: 04/06/2023]
Abstract
OBJECTIVES We aimed to develop and evaluate a modified Liver Imaging Reporting and Data System (LI-RADS) version 2018 using significant ancillary features for diagnosing hepatocellular carcinoma (HCC) < 1.0 cm on gadoxetate disodium-enhanced magnetic resonance imaging (MRI). METHODS Patients who underwent preoperative gadoxetate disodium-enhanced MRI for focal solid nodules < 2.0 cm within 1 month of MRI between January 2016 and December 2020 were retrospectively analyzed. Major and ancillary features were compared between HCCs of < 1.0 cm and 1.0-1.9 cm using the chi-square test. Significant ancillary features associated with HCC < 1.0 cm were determined by univariable and multivariable logistic regression analysis. The sensitivity and specificity of LR-5 were compared between LI-RADS v2018 and our modified LI-RADS (applying the significant ancillary feature) using generalized estimating equations. RESULTS Of 796 included nodules, 248 were < 1.0 cm and 548 were 1.0-1.9 cm. HCC < 1.0 cm less frequently showed an enhancing capsule (7.1% vs. 31.1%, p < .001) and threshold growth (0% vs. 8.3%, p = .007) than HCC of 1.0-1.9 cm. Restricted diffusion was the only ancillary feature significant for diagnosing HCC < 1.0 cm (adjusted odds ratio = 11.50, p < .001). In the diagnosis of HCC, our modified LI-RADS using restricted diffusion had significantly higher sensitivity than LI-RADS v2018 (61.8% vs. 53.5%, p < .001), with similar specificity (97.3% vs. 97.8%, p = .157). CONCLUSION Restricted diffusion was the only significant independent ancillary feature for diagnosing HCC < 1.0 cm. Our modified LI-RADS using restricted diffusion can improve the sensitivity for HCC < 1.0 cm. KEY POINTS • The imaging features of hepatocellular carcinoma (HCC) < 1.0 cm differed from those of HCC of 1.0-1.9 cm. • Restricted diffusion was the only significant independent ancillary feature for HCC < 1.0 cm. • Modified Liver Imaging Reporting and Data System (LI-RADS) with the addition of restricted diffusion can improve the sensitivity for HCC < 1.0 cm.
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Affiliation(s)
- Hyeon Ji Jang
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Sang Hyun Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
| | - Se Jin Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Won-Mook Choi
- Department of Gastroenterology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Jae Ho Byun
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Hyung Jin Won
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Yong Moon Shin
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
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19
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Jiang H, Wei H, Yang T, Qin Y, Wu Y, Chen W, Shi Y, Ronot M, Bashir MR, Song B. VICT2 Trait: Prognostic Alternative to Peritumoral Hepatobiliary Phase Hypointensity in HCC. Radiology 2023; 307:e221835. [PMID: 36786702 DOI: 10.1148/radiol.221835] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Background Peritumoral hepatobiliary phase (HBP) hypointensity is an established prognostic imaging feature in hepatocellular carcinoma (HCC), often associated with microvascular invasion (MVI). Similar prognostic features are needed for non-HBP MRI. Purpose To propose a non-hepatobiliary-specific MRI tool with similar prognostic value to peritumoral HBP hypointensity. Materials and Methods From December 2011 to November 2021, consecutive patients with HCC who underwent preoperative contrast-enhanced MRI were retrospectively enrolled and followed up until recurrence. All MRI scans were reviewed by two blinded radiologists with 7 and 10 years of experiences with liver MRI. A scoring system based on non-hepatobiliary-specific features that highly correlated with peritumoral HBP hypointensity was identified in a stratified sampling-derived training set of the gadoxetate disodium (EOB) group by means of multivariable logistic regression, and its values to predict MVI and recurrence-free survival (RFS) were assessed. Results There were 660 patients (551 men; median age, 53 years; IQR, 45-61 years) enrolled. Peritumoral portal venous phase hypoenhancement (odds ratio [OR] = 8.8), incomplete "capsule" (OR = 3.3), corona enhancement (OR, 2.6), and peritumoral mild-moderate T2 hyperintensity (OR, 2.2) (all P < .001) were associated with peritumoral HBP hypointensity and constituted the "VICT2 trait" (test set area under the receiver operating characteristic curve = 0.84; 95% CI: 0.78, 0.90). For the EOB group, both peritumoral HBP hypointensity (OR for MVI = 2.5, P = .02; hazard ratio for RFS = 2.5, P < .001) and the VICT2 trait (OR for MVI = 5.1, P < .001; hazard ratio for RFS = 2.3, P < .001) were associated with MVI and RFS, despite a higher specificity of the VICT2 trait for MVI (89% vs 80%, P = .01). These values of the VICT2 trait were confirmed in the extracellular contrast agent group (OR for MVI = 4.0; hazard ratio for RFS = 1.7; both P < .001). Conclusion Based on four non-hepatobiliary-specific MRI features, the VICT2 trait was comparable to peritumoral hepatobiliary phase hypointensity in predicting microvascular invasion and postoperative recurrence of hepatocellular carcinoma. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Harmath in this issue.
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Affiliation(s)
- Hanyu Jiang
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Hong Wei
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Ting Yang
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Yun Qin
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Yuanan Wu
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Weixia Chen
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Yujun Shi
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Maxime Ronot
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Mustafa R Bashir
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Bin Song
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
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Pan J, Ye S, Song M, Yang T, Yang L, Zhu Y, Zhao Y, Chen F. A new classification and regression tree algorithm: Improved diagnostic sensitivity for HCC ≤ 3.0 cm using gadoxetate disodium-enhanced MRI. Eur J Radiol 2023; 162:110770. [PMID: 36933495 DOI: 10.1016/j.ejrad.2023.110770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 03/04/2023] [Accepted: 03/09/2023] [Indexed: 03/18/2023]
Abstract
PURPOSE To develop and validate an effective algorithm, based on classification and regression tree (CART) analysis and LI-RADS features, for diagnosing HCC ≤ 3.0 cm with gadoxetate disodium‑enhanced MRI (Gd-EOB-MRI). METHOD We retrospectively included 299 and 90 high-risk patients with hepatic lesions ≤ 3.0 cm that underwent Gd-EOB-MRI from January 2018 to February 2021 in institution 1 (development cohort) and institution 2 (validation cohort), respectively. Through binary and multivariate regression analyses of LI-RADS features in the development cohort, we developed an algorithm using CART analysis, which comprised the targeted appearance and independently significant imaging features. On per-lesion basis, we compared the diagnostic performances of our algorithm, two previously reported CART algorithms, and LI-RADS LR-5 in development and validation cohorts. RESULTS Our CART algorithm, presenting as a decision tree, included targetoid appearance, HBP hypointensity, nonrim arterial phase hyperenhancement (APHE), and transitional phase hypointensity plus mild-moderate T2 hyperintensity. For definite HCC diagnosis, the overall sensitivity of our algorithm (development cohort 93.2%, validation cohort 92.5%; P < 0.006) was significantly higher than those of Jiang's algorithm modified LR-5 (defined as targetoid appearance, nonperipheral washout, restricted diffusion, and nonrim APHE) and LI-RADS LR-5, with the comparable specificity (development cohort: 84.3%, validation cohort: 86.7%; P ≥ 0.006). Our algorithm, providing the highest balanced accuracy (development cohort: 91.2%, validation cohort: 91.6%), outperformed other criteria for identifying HCCs from non-HCC lesions. CONCLUSIONS In high-risk patients, our CART algorithm developed with LI-RADS features showed promise for the early diagnosis of HCC ≤ 3.0 cm with Gd-EOB-MRI.
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Affiliation(s)
- Junhan Pan
- Department of Radiology, Zhejiang University School of Medicine First Affiliated Hospital, No.79 Qingchun Road, Hangzhou 310003, China
| | - Shengli Ye
- Department of Radiology, Shulan (Hangzhou) Hospital, Affiliated to Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310003, China
| | - Mengchen Song
- Department of Radiology, Shulan (Hangzhou) Hospital, Affiliated to Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310003, China
| | - Tian Yang
- Department of Radiology, Shulan (Hangzhou) Hospital, Affiliated to Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310003, China
| | - Lili Yang
- Department of Radiology, Zhejiang University School of Medicine First Affiliated Hospital, No.79 Qingchun Road, Hangzhou 310003, China
| | - Yanyan Zhu
- Department of Radiology, Zhejiang University School of Medicine First Affiliated Hospital, No.79 Qingchun Road, Hangzhou 310003, China
| | - Yanci Zhao
- Department of Radiology, Zhejiang University School of Medicine First Affiliated Hospital, No.79 Qingchun Road, Hangzhou 310003, China
| | - Feng Chen
- Department of Radiology, Zhejiang University School of Medicine First Affiliated Hospital, No.79 Qingchun Road, Hangzhou 310003, China.
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21
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Grazzini G, Chiti G, Zantonelli G, Matteuzzi B, Pradella S, Miele V. Imaging in Hepatocellular Carcinoma: what's new? Semin Ultrasound CT MR 2023; 44:145-161. [PMID: 37245881 DOI: 10.1053/j.sult.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2023]
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22
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Schima W, Kopf H, Eisenhuber E. LI-RADS Made Easy. ROFO-FORTSCHR RONTG 2023; 195:486-494. [PMID: 36724803 DOI: 10.1055/a-1990-5924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
PURPOSE The Liver Imaging Reporting and Data System (LI-RADS v2018) standardizes the interpretation and reporting of MDCT and MRI examinations in patients at risk for hepatocellular carcinoma (HCC). MATERIALS AND METHODS For focal liver lesions (called "observations") it assigns categories (LR-1 to 5, LR-M, LR-TIV, LR-TR), which reflect the probability of benignity or malignancy (HCC or other non-HCC malignancies) of the respective observation. The categories assigned are based on major and ancillary image features, which have been developed by the American College of Radiology (ACR), revised several times (now v2018), and validated in many studies. The value of ancillary features to modify LI-RADS categories assigned to observations based on major features is shown. RESULTS This review summarizes the relevant CT and MRI features and presents a step-by-step approach for readers not familiar with LI-RADS on how to use the system. Relevant imaging features and the value of different modalities (contrast-enhanced CT, MRI with extracellular gadolinium chelates or liver-specific contrast agents) is explained. CONCLUSION The widespread adoption of LI-RADS for CT/MRI reporting in high-risk patients would help to reduce inter-reader variability. It could improve communication between radiologists, oncologists, hepatologists, pathologists, and liver surgeons, and lead to better patient management. KEY POINTS · LI-RADS has been developed and revised to address the need for improved diagnosis and standardized categorization of findings in chronic liver disease.. · CT/MRI LI-RADS consists of major criteria and ancillary features to classify observations.. · LI-RADS terminology helps to clarify the communication of liver observations between radiologists and referring physicians.. CITATION FORMAT · Schima W, Kopf H, Eisenhuber E. LI-RADS made Easy. Fortschr Röntgenstr 2022; DOI: 10.1055/a-1990-5924.
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Affiliation(s)
- Wolfgang Schima
- Department of Diagnostic and Interventional Radiology, Göttlicher Heiland Krankenhaus, Barmherzige Schwestern Krankenhaus, and Sankt Josef Krankenhaus, Vinzenzgruppe, Wien, Austria
| | - Helmut Kopf
- Department of Diagnostic and Interventional Radiology, Göttlicher Heiland Krankenhaus, Barmherzige Schwestern Krankenhaus, and Sankt Josef Krankenhaus, Vinzenzgruppe, Wien, Austria
| | - Edith Eisenhuber
- Department of Diagnostic and Interventional Radiology, Göttlicher Heiland Krankenhaus, Barmherzige Schwestern Krankenhaus, and Sankt Josef Krankenhaus, Vinzenzgruppe, Wien, Austria
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23
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Performance of adding hepatobiliary phase image in magnetic resonance imaging for detection of hepatocellular carcinoma: a meta-analysis. Eur Radiol 2022; 32:7883-7895. [PMID: 35579711 DOI: 10.1007/s00330-022-08826-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 03/02/2022] [Accepted: 04/20/2022] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To determine the performance of diagnostic algorithm of adding hepatobiliary phase (HBP) images in Gd-EOB-DTPA-enhanced MRI for the detection of hepatocellular carcinoma (HCC) measuring up to 3 cm in patients with chronic liver disease. METHODS We searched multiple databases from inception to April 10, 2020, to identify studies on using Gd-EOB-DTPA-enhanced MRI for the diagnostic accuracy of HCC (≤ 3 cm) in patients with chronic liver disease. The diagnostic algorithm of Gd-EOB-DTPA-enhanced MRI with HBP for HCC was defined as a nodule showing hyperintensity during arterial phase and hypointensity during the portal venous, delayed, or hepatobiliary phases. For gadoxetic acid-enhanced MRI without HBP, the diagnostic criteria were a nodule showing arterial enhancement and hypointensity on the portal venous or delayed phases. The data were extracted to calculate summary estimates of sensitivity, specificity, diagnostic odds ratio, likelihood ratio, and summary receiver operating characteristic (sROC) by using a bivariate random-effects model. RESULTS Twenty-nine studies with 2696 HCC lesions were included. Overall Gd-EOB-DTPA-enhanced MRI with HBP had a sensitivity of 87%, specificity of 92%, and the area under the sROC curve of 95%. The summary sensitivity of Gd-EOB-DTPA-enhanced MRI with HBP was significantly higher than that without HBP (84% vs 68%, p = 0.01). CONCLUSION Gd-EOB-DTPA-enhanced MRI with HBP showed higher sensitivity than that without HBP and had comparable specificity for diagnosis of HCC in patients with chronic liver disease. KEY POINTS • Hypointensity on HBP is a major feature for diagnosis of HCC. • Extending washout appearance to the transitional or hepatobiliary phase on Gd-EOB-DTPA provides favorable sensitivity and comparable specificity for diagnosis HCC. • The summary sensitivity of gadoxetic acid-enhanced MRI with HBP was significantly higher than that without HBP (84% vs 68%, p = 0.01) for diagnosis of HCC in patients with chronic liver disease.
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24
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Rimola J, Sapena V, Brancatelli G, Darnell A, Forzenigo L, Mähringer-Kunz A, Paisant A, Renzulli M, Schima W, Terraz S, Valls C, Wagner M, Ayuso C, Vilgrain V, Reig M, Ronot M. Reliability of extracellular contrast versus gadoxetic acid in assessing small liver lesions using liver imaging reporting and data system v.2018 and European association for the study of the liver criteria. Hepatology 2022; 76:1318-1328. [PMID: 35349760 DOI: 10.1002/hep.32494] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND & AIMS The diagnostic accuracy of Liver Imaging Reporting and Data System (LI-RADS) v.2018 and European Association for the Study of the Liver (EASL) criteria for the diagnosis of HCC have been widely evaluated, but their reliability should be investigated. We aimed to assess and compare the reliability of LI-RADS v.2018 and EASL criteria for the diagnosis of HCC using MRI with extracellular contrast agents (ECAs) and gadoxetic acid (GA) and determine the effect of ancillary features on LI-RADS reliability. APPROACH & RESULTS Ten readers reviewed MRI studies of 92 focal liver lesions measuring <3 cm acquired with ECAs and GA <1 month apart from two prospective trials, assessing EASL criteria, LI-RADS major and ancillary features, and LI-RADS categorization with and without including ancillary features. Inter-reader agreement for definite HCC diagnosis was substantial and similar for the two contrasts for both EASL and LI-RADS criteria. For ECA-MRI and GA-MRI, respectively, inter-reader agreement was k = 0.72 (95% CI, 0.63-0.81) and k = 0.72 (95% CI, 0.63-0.80); for nonrim hyperenhancement, k = 0.63 (95% CI, 0.54-0.72) and k = 0.57 (95% CI, 0.48-0.66); and for nonperipheral washout, k = 0.49 (95% CI, 0.40-0.59) and k = 0.48 (95% CI, 0.37-0.58) for enhancing capsule. The inter-reader agreement for LI-RADS after applying ancillary features remained in the same range of agreement. CONCLUSIONS Agreement for definite HCC was substantial and similar for both scoring systems and the two contrast agents in small focal liver lesions. Agreement for LI-RADS categorization was lower for both contrast agents, and including LI-RADS ancillary features did not improve agreement.
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Affiliation(s)
- Jordi Rimola
- BCLC Group, Radiology Department, Hospital Clínic Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | | | - Giuseppe Brancatelli
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University Hospital of Palermo, Palermo, Italy
| | - Anna Darnell
- BCLC Group, Radiology Department, Hospital Clínic Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Laura Forzenigo
- Radiology Department, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Aline Mähringer-Kunz
- Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany
| | - Anita Paisant
- Radiology Department, Angers University Hospital, UNIV Angers, HIFIH, EA, Angers, France
| | - Matteo Renzulli
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Wolfgang Schima
- Department of Diagnostic and Interventional Radiology, Barmherzige Schwestern Krankenhaus, and Sankt Josef Krankenhaus, Göttlicher Heiland Krankenhaus, Vienna, Austria
| | - Sylvain Terraz
- Department of Radiology, Hepato-Pancreato-Biliary Centre, University Hospitals of Geneva, Geneva, Switzerland
| | - Carlos Valls
- Department of Radiology, Karolinska University Hospital, Division of Radiology, CLINTEC, Karolinska Institutet, Stockholm, Sweden
| | - Mathilde Wagner
- Sorbonne Université, INSERM, CNRS, LIB, Department of Radiology, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, APHP, Paris, France
| | - Carmen Ayuso
- BCLC Group, Radiology Department, Hospital Clínic Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Valerie Vilgrain
- Department of Radiology, Hopital Beaujon, APHP. Nord, Clichy, France
- Université de Paris, CRI, INSERM, Paris, France
| | - Maria Reig
- BCLC Group, Liver Unit, Hospital Clínic Barcelona, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Maxime Ronot
- Department of Radiology, Hopital Beaujon, APHP. Nord, Clichy, France
- Université de Paris, CRI, INSERM, Paris, France
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25
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Chen FM, Du M, Qi X, Bian L, Wu D, Zhang SL, Wang J, Zhou Y, Zhu X. Nomogram Estimating Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma From Preoperative Gadoxetate Disodium-Enhanced MRI. J Magn Reson Imaging 2022; 57:1893-1905. [PMID: 36259347 DOI: 10.1002/jmri.28488] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 10/04/2022] [Accepted: 10/06/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Vessels encapsulating tumor clusters (VETC) pattern is a novel microvascular pattern associated with poor outcomes of hepatocellular carcinoma (HCC). Preoperative estimation of VETC has potential to improve treatment decisions. PURPOSE To develop and validate a nomogram based on gadoxetate disodium-enhanced MRI for estimating VETC in HCC and to evaluate whether the estimations are associated with recurrence after hepatic resection. STUDY TYPE Retrospective. POPULATION A total of 320 patients with HCC and histopathologic VETC pattern assessment from three centers (development cohort:validation cohort = 173:147). FIELD STRENGTH/SEQUENCE A3.0 T/turbo spin-echo T2-weighted, spin-echo echo-planar diffusion-weighted, and 3D T1-weighted gradient-echo sequences. ASSESSMENT A set of previously reported VETC- and/or prognosis-correlated qualitative and quantitative imaging features were assessed. Clinical and imaging variables were compared based on histopathologic VETC status to investigate factors indicating VETC pattern. A regression-based nomogram was then constructed using the significant factors for VETC pattern. The nomogram-estimated VETC stratification was assessed for its association with recurrence. STATISTICAL TESTS Fisher exact test, t-test or Mann-Whitney test, logistic regression analyses, Harrell's concordance index (C-index), nomogram, Kaplan-Meier curves and log-rank tests. P value < 0.05 was considered statistically significant. RESULTS Pathological VETC pattern presence was identified in 156 patients (development cohort:validation cohort = 83:73). Tumor size, presence of heterogeneous enhancement with septations or with irregular ring-like structures, and necrosis were significant factors for estimating VETC pattern. The nomogram incorporating these indicators showed good discrimination with a C-index of 0.870 (development cohort) and 0.862 (validation cohort). Significant differences in recurrence rates between the nomogram-estimated high-risk VETC group and low-risk VETC group were found (2-year recurrence rates, 50.7% vs. 30.3% and 49.6% vs. 31.8% in the development and validation cohorts, respectively). DATA CONCLUSION The nomogram integrating gadoxetate disodium-enhanced MRI features was associated with VETC pattern preoperatively and with postoperative recurrence in patients with HCC. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Fang-Ming Chen
- Department of Interventional Radiology, the First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Radiology, the Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Mingzhan Du
- Department of Pathology, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiumin Qi
- Department of Pathology, the Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Linjie Bian
- Department of Radiology, the Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Danping Wu
- Department of Radiology, the Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Shuang-Lin Zhang
- Department of Radiology, the Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Jitao Wang
- Department of Hepatobiliary Surgery, Xingtai Institute of Cancer Control, the Affiliated Xingtai People's Hospital of Hebei Medical University, Xingtai, China
| | - Yongping Zhou
- Department of Hepatobiliary Surgery, the Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Xiaoli Zhu
- Department of Interventional Radiology, the First Affiliated Hospital of Soochow University, Suzhou, China
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Jiang H, Song B, Qin Y, Konanur M, Wu Y, McInnes MDF, Lafata KJ, Bashir MR. Modifying LI-RADS on Gadoxetate Disodium-Enhanced MRI: A Secondary Analysis of a Prospective Observational Study. J Magn Reson Imaging 2022; 56:399-412. [PMID: 34994029 DOI: 10.1002/jmri.28056] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/23/2021] [Accepted: 12/24/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The Liver Imaging Reporting and Data System (LI-RADS) is widely used for diagnosing hepatocellular carcinoma (HCC), however, with unsatisfactory sensitivity, complex ancillary features, and inadequate integration with gadoxetate disodium (EOB)-enhanced MRI. PURPOSE To modify LI-RADS (mLI-RADS) on EOB-MRI. STUDY TYPE Secondary analysis of a prospective observational study. POPULATION Between July 2015 and September 2018, 224 consecutive high-risk patients (median age, 51 years; range, 26-83; 180 men; training/testing sets: 169/55 patients) with 742 (median size, 13 mm; interquartile range, 7-27; 498 HCCs) LR-3/4/5 observations. FIELD STRENGTH/SEQUENCE 3.0 T T2 -weighted fast spin-echo, diffusion-weighted spin-echo based echo-planar, and 3D T1 -weighted gradient echo sequences. ASSESSMENT Three radiologists (with 5, 5, and 10 years of experience in liver MR imaging, respectively) blinded to the reference standard (histopathology or imaging follow-up) reviewed all MR images independently. In the training set, the optimal LI-RADS version 2018 (v2018) features selected by Random Forest analysis were used to develop mLI-RADS via decision tree analysis. STATISTICAL TESTS In an independent testing set, diagnostic performances of mLI-RADS, LI-RADS v2018, and the Korean Liver Cancer Association (KLCA) guidelines were computed using a generalized estimating equation model and compared with McNemar's test. A two-tailed P < 0.05 was statistically significant. RESULTS Five features (nonperipheral "washout," restricted diffusion, nonrim arterial phase hyperenhancement [APHE], mild-moderate T2 hyperintensity, and transitional phase hypointensity) constituted mLI-RADS, and mLR-5 was nonperipheral washout coupled with either nonrim APHE or restricted diffusion. In the testing set, mLI-RADS was significantly more sensitive (72%) and accurate (80%) than LI-RADS v2018 (sensitivity, 61%; accuracy 74%; both P < 0.001) and the KLCA guidelines (sensitivity, 64%; accuracy 74%; both P < 0.001), without sacrificing positive predictive value (mLI-RADS, 94%; LI-RADS v2018, 94%; KLCA guidelines, 92%). DATA CONCLUSION In high-risk patients, the EOB-MRI-based mLI-RADS was simpler and more sensitive for HCC than LI-RADS v2018 while maintaining high positive predictive value. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yun Qin
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Meghana Konanur
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Yuanan Wu
- Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Matthew D F McInnes
- Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Kyle J Lafata
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
- Department of Radiation Oncology, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina, USA
| | - Mustafa R Bashir
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
- Center for Advanced Magnetic Resonance in Medicine, Duke University Medical Center, Durham, North Carolina, USA
- Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
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MRI features of histologic subtypes of hepatocellular carcinoma: correlation with histologic, genetic, and molecular biologic classification. Eur Radiol 2022; 32:5119-5133. [PMID: 35258675 DOI: 10.1007/s00330-022-08643-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 01/31/2022] [Accepted: 02/11/2022] [Indexed: 02/07/2023]
Abstract
HCC is a heterogeneous group of tumors in terms of histology, genetic aberration, and protein expression. Advancements in imaging techniques have allowed imaging diagnosis to become a critical part of managing HCC in the clinical setting, even without pathologic diagnosis. With the identification of many HCC subtypes, there is increasing correlative evidence between imaging phenotypes and histologic, molecular, and genetic characteristics of various HCC subtypes. In this review, current knowledge of histologic heterogeneity of HCC correlated to features on gadolinium-enhanced dynamic liver MRI will be discussed. In addition, HCC subtype classification according to transcriptomic profiles will be outlined with descriptions of histologic, genetic, and molecular characteristics of some relatively well-established morphologic subtypes, namely the low proliferation class (steatohepatitic HCC and CTNNB1-mutated HCC) and the high proliferation class (macrotrabecular-massive HCC (MTM-HCC), scirrhous HCC, and CK19-positive HCC). Characteristics of sarcomatoid HCC and fibrolamellar HCC will also be discussed. Further research on radiological characteristics of HCC subtypes may ultimately enable non-invasive diagnosis and serve as a biomarker in predicting prognosis, molecular characteristics, and therapeutic response. In the era of precision medicine, a multidisciplinary effort to develop an integrated radiologic and clinical diagnostic system of various HCC subtypes is necessary. KEY POINTS: • HCC is a heterogeneous group of tumors in terms of histology, genetic aberration, and protein expression, which can be divided into many subtypes according to transcriptome profiles. • There is increasing evidence of a correlation between imaging phenotypes and histologic, genetic, and molecular biologic characteristics of various HCC subtypes. • Imaging characteristics may ultimately enable non-invasive diagnosis and subtype characterization, serving as a biomarker for predicting prognosis, molecular characteristics, and therapeutic response.
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Two-Phase MDCT Protocol for the Screening of Small Hepatocellular Carcinoma. J Clin Med 2022; 11:jcm11154282. [PMID: 35893371 PMCID: PMC9330229 DOI: 10.3390/jcm11154282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/22/2022] [Accepted: 07/21/2022] [Indexed: 12/24/2022] Open
Abstract
Screening programmes for cirrhotic patients are based on ultrasound (US) examinations at 6-month intervals, but a US sensitivity of 47% has recently been reported. The aim of this study was to evaluate a two-phase MDCT protocol in terms of hepatic nodule detection within a hepatocellular carcinoma (HCC) screening situation and to evaluate a reduction in irradiation dose for the 6-monthly checks compared to the classic four-phase protocol. In total, 373 patients with 498 nodules that were suspected to be HCC and ranged from 10 to 30 mm in size were prospectively included. All patients underwent four-phase MDCT with an unenhanced phase, arterial phase (AP), portal phase (PP) and delayed phase (DP). The cumulative irradiation from the repeated 6-monthly MDCT protocol was calculated. Of the 498 nodules, only 4 (0.008%) were only seen in the PP and not in the AP or AP. Of the 319 HCC nodules, 270 (84.6%) had AP hyperenhancement, while 115 had washout in the PP and 224 had washout in the DP. Overall, 222 of the 224 (99.1%) HCC nodules with typical features were seen in the AP and DP. The dose reduction was estimated at 55.4% when using the two-phase protocol (AP and DP). The cumulative irradiation of the two-phase protocol, which was performed every 6 months over 5 years, was 96.5 mSv. MDCT with the two-phase protocol could offer an alternative to ultrasound screening with an interesting risk–benefit trade-off.
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Kim YY, Lee S, Shin J, Son WJ, Roh YH, Hwang JA, Lee JE. Diagnostic performance of CT versus MRI Liver Imaging Reporting and Data System category 5 for hepatocellular carcinoma: a systematic review and meta-analysis of comparative studies. Eur Radiol 2022; 32:6723-6729. [PMID: 35849177 DOI: 10.1007/s00330-022-08985-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/15/2022] [Accepted: 06/25/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To compare the performance of Liver Imaging Reporting and Data System category 5 (LR-5) for diagnosing HCC between CT and MRI using comparative studies. METHODS The MEDLINE and EMBASE databases were searched from inception to April 21, 2021, to identify studies that directly compare the diagnostic performance of LR-5 for HCC between CT and MRI. A bivariate random-effects model was fitted to calculate the pooled per-observation sensitivity and specificity of LR-5 of each modality, and compare the pooled estimates of paired data. Subgroup analysis was performed according to the MRI contrast agent. RESULTS Seven studies with 1145 observations (725 HCCs) were included in the final analysis. The pooled per-observation sensitivity of LR-5 for diagnosing HCC was higher using MRI (61%; 95% confidence interval [CI], 43-76%; I2 = 95%) than CT (48%; 95% CI, 31-65%; I2 = 97%) (p < 0.001). The pooled per-observation specificities of LR-5 did not show statistically significant difference between CT (96%; 95% CI, 92-98%; I2 = 0%) and MRI (93%; 95% CI, 88-96%; I2 = 16%) (p = 0.054). In the subgroup analysis, extracellular contrast agent-enhanced MRI showed significantly higher pooled per-observation sensitivity than gadoxetic acid-enhanced MRI for diagnosing HCC (73% [95% CI, 55-85%] vs. 55% [95% CI, 39-70%]; p = 0.007), without a significant difference in specificity (93% [95% CI, 80-98%] vs. 94% [95% CI, 87-97%]; p = 0.884). CONCLUSIONS The LR-5 of MRI showed significantly higher pooled per-observation sensitivity than CT for diagnosing HCC. The pooled per-observation specificities of LR-5 were comparable between the two modalities. KEY POINTS • The pooled sensitivity of LR-5 using MRI was higher than that using CT (61% versus 48%), but the pooled specificities of LR-5 were not significantly different between CT and MRI (96% versus 93%). • Subgroup analysis according to the MRI contrast media showed a significantly higher pooled per-observation sensitivity using ECA-enhanced MRI than with EOB-enhanced MRI (73% versus 55%), and comparable specificities (93% versus 94%). • Although LI-RADS provides a common diagnostic algorithm for CT or MRI, the per-observation performance of LR-5 can be affected by the imaging modality as well as the MRI contrast agent.
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Affiliation(s)
- Yeun-Yoon Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Sunyoung Lee
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
| | - Jaeseung Shin
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Won Jeong Son
- Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yun Ho Roh
- Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jeong Ah Hwang
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ji Eun Lee
- Department of Radiology, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon, Republic of Korea
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Petukhova-Greenstein A, Zeevi T, Yang J, Chai N, DiDomenico P, Deng Y, Ciarleglio M, Haider SP, Onyiuke I, Malpani R, Lin M, Kucukkaya AS, Gottwald LA, Gebauer B, Revzin M, Onofrey J, Staib L, Gunabushanam G, Taddei T, Chapiro J. MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features. J Vasc Interv Radiol 2022; 33:814-824.e3. [PMID: 35460887 PMCID: PMC9335926 DOI: 10.1016/j.jvir.2022.04.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 02/28/2022] [Accepted: 04/08/2022] [Indexed: 12/24/2022] Open
Abstract
PURPOSE To assess the Liver Imaging Reporting and Data System (LI-RADS) and radiomic features in pretreatment magnetic resonance (MR) imaging for predicting progression-free survival (PFS) in patients with nodular hepatocellular carcinoma (HCC) treated with radiofrequency (RF) ablation. MATERIAL AND METHODS Sixty-five therapy-naïve patients with 85 nodular HCC tumors <5 cm in size were included in this Health Insurance Portability and Accountability Act-compliant, institutional review board-approved, retrospective study. All patients underwent RF ablation as first-line treatment and demonstrated complete response on the first follow-up imaging. Gadolinium-enhanced MR imaging biomarkers were analyzed for LI-RADS features by 2 board-certified radiologists or by analysis of nodular and perinodular radiomic features from 3-dimensional segmentations. A radiomic signature was calculated with the most informative features of a least absolute shrinkage and selection operator Cox regression model using leave-one-out cross-validation. The association between both LI-RADS features and radiomic signatures with PFS was assessed via the Kaplan-Meier analysis and a weighted log-rank test. RESULTS The median PFS was 19 months (95% confidence interval, 16.1-19.4) for a follow-up period of 24 months. Multifocality (P = .033); the appearance of capsular continuity, compared with an absent or discontinuous capsule (P = .012); and a higher radiomic signature based on nodular and perinodular features (P = .030) were associated with poorer PFS in early-stage HCC. The observation size, presence of arterial hyperenhancement, nonperipheral washout, and appearance of an enhancing "capsule" were not associated with PFS (P > .05). CONCLUSIONS Although multifocal HCC clearly indicates a more aggressive phenotype even in early-stage disease, the continuity of an enhancing capsule and a higher radiomic signature may add value as MR imaging biomarkers for poor PFS in HCC treated with RF ablation.
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Affiliation(s)
- Alexandra Petukhova-Greenstein
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, Institute of Radiology, Berlin, Germany
| | - Tal Zeevi
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Junlin Yang
- Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, Connecticut
| | - Nathan Chai
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Paul DiDomenico
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
| | - Yanhong Deng
- Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut
| | - Maria Ciarleglio
- Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut
| | - Stefan P Haider
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | | | - Rohil Malpani
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - MingDe Lin
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Visage Imaging, Inc., San Diego, California
| | - Ahmet S Kucukkaya
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, Institute of Radiology, Berlin, Germany
| | - Luzie A Gottwald
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, Institute of Radiology, Berlin, Germany
| | - Bernhard Gebauer
- Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, Institute of Radiology, Berlin, Germany
| | - Margarita Revzin
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - John Onofrey
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Urology, Yale School of Medicine, New Haven, Connecticut
| | - Lawrence Staib
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, Connecticut
| | - Gowthaman Gunabushanam
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
| | - Tamar Taddei
- Department of Internal Medicine, Section of Digestive Diseases, Yale School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
| | - Julius Chapiro
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut.
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31
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Pagé G, Doblas S, Garteiser P, Van Beers BE. Editorial for "Hepatic Steatosis Has No Effect in Diagnosis Accuracy of LI-RADS v2018 Categorization of Hepatocellular Carcinoma in MR Imaging". J Magn Reson Imaging 2022; 55:1902-1903. [PMID: 34390605 DOI: 10.1002/jmri.27891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 08/03/2021] [Accepted: 08/04/2021] [Indexed: 11/10/2022] Open
Affiliation(s)
- Gwenaël Pagé
- Center for Research on Inflammation, UMR 1149 Inserm, Université de Paris, Laboratory of Imaging Biomarkers, Paris, France
| | - Sabrina Doblas
- Center for Research on Inflammation, UMR 1149 Inserm, Université de Paris, Laboratory of Imaging Biomarkers, Paris, France
| | - Philippe Garteiser
- Center for Research on Inflammation, UMR 1149 Inserm, Université de Paris, Laboratory of Imaging Biomarkers, Paris, France
| | - Bernard E Van Beers
- Center for Research on Inflammation, UMR 1149 Inserm, Université de Paris, Laboratory of Imaging Biomarkers, Paris, France
- Department of Radiology, Beaujon University Hospital Paris Nord, AP-HP, Clichy, France
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32
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Liang Y, Xu F, Wang Z, Tan C, Zhang N, Wei X, Jiang X, Wu H. A gadoxetic acid-enhanced MRI-based multivariable model using LI-RADS v2018 and other imaging features for preoperative prediction of macrotrabecular-massive hepatocellular carcinoma. Eur J Radiol 2022; 153:110356. [PMID: 35623312 DOI: 10.1016/j.ejrad.2022.110356] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 04/25/2022] [Accepted: 05/07/2022] [Indexed: 11/19/2022]
Abstract
PURPOSE To identify imaging features of macrotrabecular-massive hepatocellular carcinoma (MTM-HCC) using LI-RADS v2018 and other imaging features and to develop a gadoxetic acid-enhanced MRI (EOB-MRI)-based model for pretreatment prediction of MTM-HCC. MATERIALS AND METHODS A total of 93 patients with pathologically proven HCC (39 MTM-HCC and 54 non-MTM-HCC) were retrospectively evaluated with EOB-MRI at 3 T. Imaging analysis according to LI-RADS v2018 was evaluated by two readers. Univariate and multivariate analyses were performed to determine independent predictors for MTM-HCC. Different logistic regression models were built based on MRI features, including model A (enhancing capsule, blood products in mass and ascites), model B (enhancing capsule and ascites), model C (blood products in mass and ascites), and model D (blood products in mass and enhancing capsule). Diagnostic performance was assessed by receiver operating characteristic (ROC) curves. RESULTS After multivariate analysis, absence of enhancing capsule (odds ratio = 0.102, p = 0.010), absence of blood products in mass (odds ratio = 0.073, p = 0.030), and with ascites (odds ratio = 55.677, p = 0.028) were identified as independent differential factors for the presence of MTM-HCC. Model A yielded a sensitivity, specificity, and AUC of 35.90% (21.20,52.80), 94.44% (84.60, 98.80), and 0.731 (0.629, 0.818). Model A achieved a comparable AUC than model D (0.731 vs. 0.699, p = 0.333), but a higher AUC than model B (0.731 vs. 0.644, p = 0.048) and model C (0.731 vs. 0.650, p = 0.005). CONCLUSION The EOB-MRI-based model is promising for noninvasively predicting MTM-HCC and may assist clinicians in pretreatment decisions.
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Affiliation(s)
- Yingying Liang
- Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University; School of Medicine, South China University of Technology, 1Panfu Road, Guangzhou, Guangdong Province 510180, China.
| | - Fan Xu
- Department of Radiology, Guangzhou Red Cross Hospital, Medical College, Jinan University, 396 Tongfu road, Guangzhou, Guangdong Province 510220, China.
| | - Zihua Wang
- Department of Radiology, Foshan Hospital of Traditional Chinese Medicine, Foshan, Guangdong Province 528000, China.
| | - Caihong Tan
- Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University; School of Medicine, South China University of Technology, 1Panfu Road, Guangzhou, Guangdong Province 510180, China.
| | - Nianru Zhang
- Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University; School of Medicine, South China University of Technology, 1Panfu Road, Guangzhou, Guangdong Province 510180, China.
| | - Xinhua Wei
- Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University; School of Medicine, South China University of Technology, 1Panfu Road, Guangzhou, Guangdong Province 510180, China.
| | - Xinqing Jiang
- Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University; School of Medicine, South China University of Technology, 1Panfu Road, Guangzhou, Guangdong Province 510180, China.
| | - Hongzhen Wu
- Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University; School of Medicine, South China University of Technology, 1Panfu Road, Guangzhou, Guangdong Province 510180, China.
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Tan CH, Chou SC, Inmutto N, Ma K, Sheng R, Shi Y, Zhou Z, Yamada A, Tateishi R. Gadoxetate-Enhanced MRI as a Diagnostic Tool in the Management of Hepatocellular Carcinoma: Report from a 2020 Asia-Pacific Multidisciplinary Expert Meeting. Korean J Radiol 2022; 23:697-719. [PMID: 35555884 PMCID: PMC9240294 DOI: 10.3348/kjr.2021.0593] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 02/21/2022] [Accepted: 03/17/2022] [Indexed: 12/04/2022] Open
Abstract
Gadoxetate magnetic resonance imaging (MRI) is widely used in clinical practice for liver imaging. For optimal use, we must understand both its advantages and limitations. This article is the outcome of an online advisory board meeting and subsequent discussions by a multidisciplinary group of experts on liver diseases across the Asia-Pacific region, first held on September 28, 2020. Here, we review the technical considerations for the use of gadoxetate, its current role in the management of patients with hepatocellular carcinoma (HCC), and its relevance in consensus guidelines for HCC imaging diagnosis. In the latter part of this review, we examine recent evidence evaluating the impact of gadoxetate on clinical outcomes on a continuum from diagnosis to treatment decision-making and follow-up. In conclusion, we outline the potential future roles of gadoxetate MRI based on an evolving understanding of the clinical utility of this contrast agent in the management of patients at risk of, or with, HCC.
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Affiliation(s)
- Cher Heng Tan
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
| | - Shu-Cheng Chou
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei City & Institute of Clinical Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Nakarin Inmutto
- Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Ke Ma
- Department of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - RuoFan Sheng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - YingHong Shi
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhongguo Zhou
- Department of Hepatobiliary Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Akira Yamada
- Department of Radiology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Ryosuke Tateishi
- Department of Gastroenterology, The University of Tokyo Hospital, Tokyo, Japan
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Nadarevic T, Colli A, Giljaca V, Fraquelli M, Casazza G, Manzotti C, Štimac D, Miletic D. Magnetic resonance imaging for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease. Cochrane Database Syst Rev 2022; 5:CD014798. [PMID: 35521901 PMCID: PMC9074390 DOI: 10.1002/14651858.cd014798.pub2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Hepatocellular carcinoma occurs mostly in people with chronic liver disease and ranks sixth in terms of global incidence of cancer, and third in terms of cancer deaths. In clinical practice, magnetic resonance imaging (MRI) is used as a second-line diagnostic imaging modality to confirm the presence of focal liver lesions suspected as hepatocellular carcinoma on prior diagnostic test such as abdominal ultrasound or alpha-fetoprotein, or both, either in surveillance programmes or in clinical settings. According to current guidelines, a single contrast-enhanced imaging study (computed tomography (CT) or MRI) showing typical hallmarks of hepatocellular carcinoma in people with cirrhosis is considered valid to diagnose hepatocellular carcinoma. The detection of hepatocellular carcinoma amenable to surgical resection could improve the prognosis. However, a significant number of hepatocellular carcinomas do not show typical hallmarks on imaging modalities, and hepatocellular carcinoma may, therefore, be missed. There is no clear evidence of the benefit of surveillance programmes in terms of overall survival: the conflicting results can be a consequence of inaccurate detection, ineffective treatment, or both. Assessing the diagnostic accuracy of MRI may clarify whether the absence of benefit could be related to underdiagnosis. Furthermore, an assessment of the accuracy of MRI in people with chronic liver disease who are not included in surveillance programmes is needed for either ruling out or diagnosing hepatocellular carcinoma. OBJECTIVES Primary: to assess the diagnostic accuracy of MRI for the diagnosis of hepatocellular carcinoma of any size and at any stage in adults with chronic liver disease. Secondary: to assess the diagnostic accuracy of MRI for the diagnosis of resectable hepatocellular carcinoma in adults with chronic liver disease, and to identify potential sources of heterogeneity in the results. SEARCH METHODS We searched the Cochrane Hepato-Biliary Group Controlled Trials Register, the Cochrane Hepato-Biliary Group Diagnostic Test of Accuracy Studies Register, the Cochrane Library, MEDLINE, Embase, and three other databases to 9 November 2021. We manually searched articles retrieved, contacted experts, handsearched abstract books from meetings held during the last 10 years, and searched for literature in OpenGrey (9 November 2021). Further information was requested by e-mails, but no additional information was provided. No data was obtained through correspondence with investigators. We applied no language or document-type restrictions. SELECTION CRITERIA Studies assessing the diagnostic accuracy of MRI for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease, with cross-sectional designs, using one of the acceptable reference standards, such as pathology of the explanted liver and histology of resected or biopsied focal liver lesion with at least a six-month follow-up. DATA COLLECTION AND ANALYSIS At least two review authors independently screened studies, extracted data, and assessed the risk of bias and applicability concerns, using the QUADAS-2 checklist. We presented the results of sensitivity and specificity, using paired forest plots, and we tabulated the results. We used a hierarchical meta-analysis model where appropriate. We presented uncertainty of the accuracy estimates using 95% confidence intervals (CIs). We double-checked all data extractions and analyses. MAIN RESULTS We included 34 studies, with 4841 participants. We judged all studies to be at high risk of bias in at least one domain because most studies used different reference standards, often inappropriate to exclude the presence of the target condition, and the time interval between the index test and the reference standard was rarely defined. Regarding applicability, we judged 15% (5/34) of studies to be at low concern and 85% (29/34) of studies to be at high concern mostly owing to characteristics of the participants, most of whom were on waiting lists for orthotopic liver transplantation, and due to pathology of the explanted liver being the only reference standard. MRI for hepatocellular carcinoma of any size and stage: sensitivity 84.4% (95% CI 80.1% to 87.9%) and specificity 93.8% (95% CI 90.1% to 96.1%) (34 studies, 4841 participants; low-certainty evidence). MRI for resectable hepatocellular carcinoma: sensitivity 84.3% (95% CI 77.6% to 89.3%) and specificity 92.9% (95% CI 88.3% to 95.9%) (16 studies, 2150 participants; low-certainty evidence). The observed heterogeneity in the results remains mostly unexplained. The sensitivity analyses, which included only studies with clearly prespecified positivity criteria and only studies in which the reference standard results were interpreted without knowledge of the results of the index test, showed no variation in the results. AUTHORS' CONCLUSIONS We found that using MRI as a second-line imaging modality to diagnose hepatocellular carcinoma of any size and stage, 16% of people with hepatocellular carcinoma would be missed, and 6% of people without hepatocellular carcinoma would be unnecessarily treated. For resectable hepatocellular carcinoma, we found that 16% of people with resectable hepatocellular carcinoma would improperly not be resected, while 7% of people without hepatocellular carcinoma would undergo inappropriate surgery. The uncertainty resulting from the high risk of bias in the included studies and concerns regarding their applicability limit our ability to confidently draw conclusions based on our results.
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Affiliation(s)
- Tin Nadarevic
- Department of Radiology, Clinical Hospital Centre Rijeka, Rijeka, Croatia
| | - Agostino Colli
- Department of Transfusion Medicine and Haematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Vanja Giljaca
- Department of Gastroenterology, Heart of England NHS Foundation Trust, Birmingham, UK
| | - Mirella Fraquelli
- Gastroenterology and Endoscopy Unit, Fondazione IRCCS Ca´ Granda - Ospedale Maggiore Policlinico, Milan, Italy
| | - Giovanni Casazza
- Dipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università degli Studi di Milano, Milan, Italy
| | - Cristina Manzotti
- Gastroenterology and Endoscopy Unit, Fondazione IRCCS Ca´ Granda - Ospedale Maggiore Policlinico, Milan, Italy
| | - Davor Štimac
- Department of Gastroenterology, Clinical Hospital Centre Rijeka, Rijeka, Croatia
| | - Damir Miletic
- Department of Radiology , Clinical Hospital Centre Rijeka, Rijeka, Croatia
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Do transition and hepatobiliary phase hypointensity improve LI-RADS categorization as an alternative washout: a systematic review and meta-analysis. Eur Radiol 2022; 32:5134-5143. [PMID: 35267090 DOI: 10.1007/s00330-022-08665-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 12/30/2021] [Accepted: 02/13/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The definition of washout in gadoxetate disodium-enhanced MRI (Gd-EOB-MRI) is controversial. The current Liver Imaging Reporting and Data System (LI-RADS) defines washout only in the portal venous phase on Gd-EOB-MRI, leading to low diagnostic sensitivity for HCC. We performed a meta-analysis to compare the diagnostic performance of Gd-EOB-MRI using conventional (cWO) and modified (mWO) definitions of washout. METHODS The PubMed and EMBASE databases were searched to identify studies published between January 1, 2010, and August 1, 2021, that compared the diagnostic performance of cWO and mWO for HCC. The mWOs added transition phase (TP) hypointensity (mWO-1), hepatobiliary phase (HBP) hypointensity (mWO-2), or both (mWO-3). The pooled sensitivity and specificity were calculated using a bivariate random-effects model. Study heterogeneity was explored by subgroup analysis and meta-regression analysis. RESULTS Ten comparative studies with 2391 patients were included. Compared to cWO, the overall mWO yielded significantly higher sensitivity (71% vs. 81%, p = 0.00) and lower specificity (97% vs. 93%, p = 0.01) for diagnosing HCC. The area under the curve (AUC) was 0.90 and 0.94 for the cWO and mWO, respectively. Regarding the three types of mWOs, mWO-2 showed the highest sensitivity (85%) and specificity (96%) for diagnosing HCC. mWO-2 achieved the highest AUC (0.97), followed by mWO-1 (0.90), and mWO-3 (0.89). Average reviewer experience and scanner field strength were significantly associated with study heterogeneity (p < 0.05). CONCLUSIONS Inclusion of TP and HBP hypointensity in the definition of washout improved the sensitivity with slightly lower specificity for diagnosing HCC in LI-RADS. KEY POINTS • Compared to the conventional definition of washout, studies using a modified definition had higher sensitivity (71% vs. 81%) but lower specificity (97% vs. 93%) in LI-RADS for the diagnosis of HCC. • Hepatobiliary phase hypointensity may be a preferred alternative washout for HCC diagnosis with the highest area under the curve. • Studies with experienced reviewer or 3.0T MRI showed higher sensitivity and lower specificity for diagnosing HCC when using modified washout (p < 0.05).
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Gao F, Wei Y, Zhang T, Jiang H, Li Q, Yuan Y, Yao S, Ye Z, Wan S, Wei X, Nie L, Tang H, Song B. New Liver MR Imaging Hallmarks for Small Hepatocellular Carcinoma Screening and Diagnosing in High-Risk Patients. Front Oncol 2022; 12:812832. [PMID: 35356206 PMCID: PMC8959840 DOI: 10.3389/fonc.2022.812832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 02/10/2022] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE Early detection and diagnosis of hepatocellular carcinoma (HCC) is essential for prognosis; however, the imaging hallmarks for tumor detection and diagnosis has remained the same for years despite the use of many new immerging imaging methods. This study aimed to evaluate the detection performance of hepatic nodules in high risk patients using either hepatobiliary specific contrast (HBSC) agent or extracellular contrast agent (ECA), and further to compare the diagnostic performances for hepatocellular carcinoma (HCC) using different diagnostic criteria with the histopathological results as reference standard. METHODS This prospective study included 247 nodules in 222 patients (mean age, 53.32 ± 10.84 years; range, 22-79 years). The detection performance and imaging features of each nodule were evaluated in all MR sequences by three experienced abdominal radiologists. The detection performance of each nodule on all MR sequences were compared and further the diagnostic performance of various diagnostic criteria were evaluated. RESULTS For those patients who underwent ECA-MRI, the conventional imaging hallmark of "AP + PVP and/or DP" was recommended, as 60.19% diagnostic sensitivity, 80.95% specificity and 100% lesion detection rate. Additionally, for those patients who underwent HBSC-MRI, the diagnostic criteria of "DWI + HBP" was recommended. This diagnostic criteria demonstrated, both in all tumor size and for nodules ≤2 cm, higher sensitivity (93.07 and 90.16%, all p <0.05, respectively) and slightly lower specificity (64.71 and 87.50%, all p >0.05, respectively) than that of the European Association for the Study of the Liver (EASL) criteria. CONCLUSIONS Different abbreviated MR protocols were recommended for patients using either ECA or HBSC. These provided imaging settings demonstrated high lesion detection rate and diagnostic performance for HCC.
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Affiliation(s)
- Feifei Gao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Wei
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Tong Zhang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Qian Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuan Yuan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Shan Yao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Zheng Ye
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Shang Wan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | | | - Lisha Nie
- MR Research China, GE Healthcare, Beijing, China
| | - Hehan Tang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
- Department of Radiology, Sanya People’s Hospital, Sanya, China
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Ronot M. Performance of LI-RADS for the Noninvasive Diagnosis of HCC: Pathology Should Not Be the Only Acceptable Reference. Radiology 2022; 303:546-547. [PMID: 35230189 DOI: 10.1148/radiol.213224] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Maxime Ronot
- From the Université de Paris, Paris, France; and Department of Radiology, Hôpital Beaujon, AP-HP. Nord, 100 Blvd du Général Leclerc, 92118 Clichy, France
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Jiang H, Song B, Qin Y, Wei Y, Konanur M, Wu Y, Zaki IH, McInnes MDF, Lafata KJ, Bashir MR. Data-Driven Modification of the LI-RADS Major Feature System on Gadoxetate Disodium-Enhanced MRI: Toward Better Sensitivity and Simplicity. J Magn Reson Imaging 2022; 55:493-506. [PMID: 34236120 DOI: 10.1002/jmri.27824] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 06/23/2021] [Accepted: 06/23/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The Liver Imaging Reporting and Data System (LI-RADS) is widely accepted as a reliable diagnostic scheme for hepatocellular carcinoma (HCC) in at-risk patients. However, its application is hampered by substantial complexity and suboptimal diagnostic sensitivity. PURPOSE To propose data-driven modifications to the LI-RADS version 2018 (v2018) major feature system (rLI-RADS) on gadoxetate disodium (EOB)-enhanced magnetic resonance imaging (MRI) to improve sensitivity and simplicity while maintaining high positive predictive value (PPV) for detecting HCC. STUDY TYPE Retrospective. POPULATION Two hundred and twenty-four consecutive at-risk patients (training dataset: 169, independent testing dataset: 55) with 742 LR-3 to LR-5 liver observations (HCC: N = 498 [67%]) were analyzed from a prospective observational registry collected between July 2015 and September 2018. FIELD STRENGTH/SEQUENCE 3.0 T/T2-weighted fast spin-echo, diffusion-weighted spin-echo based echo-planar and three-dimensional (3D) T1-weighted gradient echo sequences. ASSESSMENT All images were evaluated by three independent abdominal radiologists who were blinded to all clinical, pathological, and follow-up information. Composite reference standards of either histopathology or imaging follow-up were used. STATISTICAL TESTS In the training dataset, LI-RADS v2018 major features were used to develop rLI-RADS based on their associated PPV for HCC. In an independent testing set, diagnostic performances of LI-RADS v2018 and rLI-RADS were computed using a generalized estimating equation model and compared with McNemar's test. A P value <0.05 was considered statistically significant. RESULTS The median (interquartile range) size of liver observations was 13 mm (7-27 mm). The diagnostic table for rLI-RADS encompassed 9 cells, as opposed to 16 cells for LI-RADS v2018. In the testing set, compared to LI-RADS v2018, rLI-RADS category 5 demonstrated a significantly superior sensitivity (76% vs. 61%) while maintaining comparably high PPV (92.5% vs. 94.1%, P = 0.126). DATA CONCLUSION Compared with LI-RADS v2018, rLI-RADS demonstrated improved simplicity and significantly superior diagnostic sensitivity for HCC in at-risk patients. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yun Qin
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Wei
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Meghana Konanur
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Yuanan Wu
- Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Islam H Zaki
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Matthew D F McInnes
- Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Kyle J Lafata
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
- Department of Radiation Oncology, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina, USA
| | - Mustafa R Bashir
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
- Center for Advanced Magnetic Resonance in Medicine, Duke University Medical Center, Durham, North Carolina, USA
- Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
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Park HJ, Seo N, Kim SY. Current Landscape and Future Perspectives of Abbreviated MRI for Hepatocellular Carcinoma Surveillance. Korean J Radiol 2022; 23:598-614. [PMID: 35434979 PMCID: PMC9174497 DOI: 10.3348/kjr.2021.0896] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/18/2022] [Accepted: 02/10/2022] [Indexed: 11/15/2022] Open
Abstract
While ultrasound (US) is considered an important tool for hepatocellular carcinoma (HCC) surveillance, it has limited sensitivity for detecting early-stage HCC. Abbreviated MRI (AMRI) has recently gained popularity owing to better sensitivity in its detection of early-stage HCC than US, while also minimizing the time and cost in comparison to complete contrast-enhanced MRI, as AMRI includes only a few essential sequences tailored for detecting HCC. Currently, three AMRI protocols exist, namely gadoxetic acid-enhanced hepatobiliary-phase AMRI, dynamic contrast-enhanced AMRI, and non-enhanced AMRI. In this study, we discussed the rationale and technical details of AMRI techniques for achieving optimal surveillance performance. The strengths, weaknesses, and current issues of each AMRI protocol were also elucidated. Moreover, we scrutinized previously performed AMRI studies regarding clinical and technical factors. Reporting and recall strategies were discussed while considering the differences in AMRI protocols. A risk-stratified approach for the target population should be taken to maximize the benefits of AMRI and the cost-effectiveness should be considered. In the era of multiple HCC surveillance tools, patients need to be fully informed about their choices for better adherence to a surveillance program.
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Affiliation(s)
- Hyo Jung Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Nieun Seo
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - So Yeon Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
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Ko JS, Byun J, Park S, Woo JY. Prediction of insufficient hepatic enhancement during the Hepatobiliary phase of Gd-EOB DTPA-enhanced MRI using machine learning classifier and feature selection algorithms. Abdom Radiol (NY) 2022; 47:161-173. [PMID: 34647145 DOI: 10.1007/s00261-021-03308-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 01/15/2023]
Abstract
PURPOSE The purpose of this study was to reveal the usefulness of machine learning classifier and feature selection algorithms for prediction of insufficient hepatic enhancement in the HBP. METHODS We retrospectively assessed 214 patients with chronic liver disease or liver cirrhosis who underwent MRI enhanced with Gd-EOB-DTPA. Various liver function tests, Child-Pugh score (CPS) and Model for End-stage Liver Disease Sodium (MELD-Na) score were collected as candidate predictors for insufficient hepatic enhancement. Insufficient hepatic enhancement was assessed using liver-to-portal vein signal intensity ratio and 5-level visual grading. The clinico-laboratory findings were compared using Student's t-test and Mann-Whitney U test. Relationships between the laboratory tests and insufficient hepatic enhancement were assessed using Pearson's and Spearman's rank correlation coefficient. Feature importance was assessed by Random UnderSampling boosting algorithms. The predictive models were constructed using decision tree(DT), k-nearest neighbor(KNN), random forest(RF), and support-vector machine(SVM) classifier algorithms. The performances of the prediction models were analyzed by calculating the area under the receiver operating characteristic curve(AUC). RESULTS Among four machine learning classifier algorithms using various feature combinations, SVM using total bilirubin(TB) and albumin(Alb) showed excellent predictive ability for insufficient hepatic enhancement(AUC = 0.93, [95% CI: 0.93-0.94]) and higher AUC value than conventional logistic regression(LR) model (AUC = 0.92, [95% CI; 0.92-0.93], predictive models using the MELD-Na (AUC = 0.90 [95% CI: 0.89-0.91]) and CPS (AUC = 0.89 [95% CI: 0.88-0.90]). CONCLUSION Machine learning-based classifier (i.e. SVM) and feature selection algorithms can be used to predict insufficient hepatic enhancement in the HBP before performing MRI.
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Affiliation(s)
- Ji Su Ko
- Department of Radiology, Hallym University College of Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea
| | - Jieun Byun
- Department of Radiology, Hallym University College of Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea.
- Department of Radiology, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
| | - Seongkeun Park
- Machine Intelligence Laboratory, Department of Smart Automobile, Soonchunhyang University, Asan, Chungcheongnamdo, Republic of Korea
| | - Ji Young Woo
- Department of Radiology, Hallym University College of Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea
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Min JH, Kim JM, Kim YK, Kim H, Cha DI, Kang TW, Choi GS, Choi SY, Ahn S. EASL versus LI-RADS: Intra-individual comparison of MRI with extracellular contrast and gadoxetic acid for diagnosis of small HCC. Liver Int 2021; 41:2986-2996. [PMID: 34242468 DOI: 10.1111/liv.15012] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 06/15/2021] [Accepted: 07/05/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Liver Imaging Reporting and Data System (LI-RADS) and European Association for the Study (EASL) criteria for hepatocellular carcinoma (HCC) diagnosis have been updated in 2018. We aimed to compare the HCC diagnostic performance of LI-RADS and EASL criteria with extracellular contrast agents-MRI (ECA-MRI) and hepatobiliary agents-MRI (HBA-MRI). METHODS We prospectively evaluated 179 participants with cirrhosis (n = 105) or non-cirrhotic chronic hepatitis B (CHB) (n = 74) who underwent both ECA-MRI and HBA-MRI before surgery for de novo nodule(s) measuring 10-30 mm. We compared the HCC diagnostic performance of EASL and LR-5 in both MRIs. RESULTS In an analysis of 215 observations (175 HCCs, 17 non-HCC malignancies and 23 benign lesions) identified from cirrhotic or non-cirrhotic CHB participants, LR-5 with ECA-MRI provided the highest sensitivity (80.7%), followed by EASL with ECA-MRI (76.2%), LR-5 with HBA-MRI (67.3%) and EASL with HBA-MRI (63.0%, all P < .05). The specificities were comparable (89.4%-91.5%). When the analysis is limited to participants with pathological cirrhosis (123 observations), the sensitivity of LR-5 with ECA-MRI was similar to that of EASL with ECA-MRI (82.7% vs 80.2%, P = .156), but higher than LR-5 with HBA-MRI (65.1%) or EASL with HBA-MRI (62.8%, both P < .001), with comparable specificities (87.5%-91.7%). CONCLUSIONS The LR-5 with ECA-MRI yielded the highest sensitivity with a similar specificity for HCC diagnosis in cirrhosis and non-cirrhotic CHB participants, while the sensitivities of LR-5 and EASL with ECA-MRI are similar for cirrhosis participants. This indicates non-invasive diagnosis criteria can differ by contrast agents and presence of cirrhosis.
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Affiliation(s)
- Ji Hye Min
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jong Man Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Young Kon Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Honsoul Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Dong Ik Cha
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Tae Wook Kang
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Gyu Seong Choi
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Seo-Youn Choi
- Department of Radiology, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon, Republic of Korea
| | - Soohyun Ahn
- Department of Mathematics, Ajou University, Suwon, Republic of Korea
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Cannella R, Ronot M, Sartoris R, Cauchy F, Hobeika C, Beaufrere A, Trapani L, Paradis V, Bouattour M, Bonvalet F, Vilgrain V, Dioguardi Burgio M. Enhancing capsule in hepatocellular carcinoma: intra-individual comparison between CT and MRI with extracellular contrast agent. Diagn Interv Imaging 2021; 102:735-742. [PMID: 34284951 DOI: 10.1016/j.diii.2021.06.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 06/10/2021] [Accepted: 06/12/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE The purpose of this study was to compare the value of contrast-enhanced computed tomography (CT) to that of magnetic resonance imaging obtained with extracellular contrast agent (ECA-MRI) for the diagnosis of a tumor capsule in hepatocellular carcinoma (HCC) using histopathologic findings as the standard of reference. MATERIALS AND METHODS This retrospective study included patients with pathologically-proven resected HCCs with available preoperative contrast-enhanced CT and ECA-MRI examinations. Two blinded radiologists independently reviewed contrast-enhanced CT and ECA-MRI examinations to assess the presence of an enhancing capsule. The histopathological analysis of resected specimens was used as reference for the diagnosis of a tumor capsule. The sensitivity and specificity of CT and ECA-MRI for the diagnosis of a tumor capsule were determined, and an intra-individual comparison of imaging modalities was performed using McNemar test. Inter-reader agreement was assessed using Kappa test. RESULTS The study population included 199 patients (157 men, 42 women; mean age: 61.3 ± 13.0 [SD] years) with 210 HCCs (mean size 56.7 ± 43.7 [SD] mm). A tumor capsule was present in 157/210 (74.8%) HCCs at histopathologic analysis. Capsule enhancement was more frequently visualized on ECA-MRI (R1, 68.6%; R2, 71.9%) than on CT (R1, 44.3%, P < 0.001; R2, 47.6%, P < 0.001). The sensitivity of ECA-MRI was better for the diagnosis of histopathological tumor capsule (R1, 76.4%; R2, 79.6%; P < 0.001), while CT had a greater specificity (R1, 84.9%; R2, 83.0%; P < 0.001). Inter-reader agreement was moderate both on CT (kappa = 0.55; 95% confidence interval [CI]: 0.43-0.66) and ECA-MRI (kappa = 0.57; 95% CI: 0.45-0.70). CONCLUSION Capsule enhancement was more frequently visualized on ECA-MRI than on CT. The sensitivity of ECA-MRI was greater than that of CT, but the specificity of CT was better than that of ECA-MRI.
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Affiliation(s)
- Roberto Cannella
- Department of Radiology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France; Section of Radiology - BiND, University Hospital "Paolo Giaccone", 90127 Palermo, Italy; Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties, PROMISE, University of Palermo, 90127 Palermo, Italy
| | - Maxime Ronot
- Department of Radiology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France; Université de Paris, Faculté de Médecine & INSERM U1149 "centre de recherche sur l'inflammation", CRI, F-75018 Paris, France
| | - Riccardo Sartoris
- Department of Radiology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France; Université de Paris, Faculté de Médecine & INSERM U1149 "centre de recherche sur l'inflammation", CRI, F-75018 Paris, France
| | - Francois Cauchy
- Department of HPB Surgery and Liver Transplantation, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France
| | - Christian Hobeika
- Department of HPB Surgery and Liver Transplantation, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France
| | - Aurélie Beaufrere
- Department of Pathology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France
| | - Loïc Trapani
- Department of Pathology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France
| | - Valérie Paradis
- Department of Pathology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France
| | - Mohamed Bouattour
- Department of Digestive Oncology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France
| | - Fanny Bonvalet
- Department of Radiology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France
| | - Valérie Vilgrain
- Department of Radiology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France; Université de Paris, Faculté de Médecine & INSERM U1149 "centre de recherche sur l'inflammation", CRI, F-75018 Paris, France
| | - Marco Dioguardi Burgio
- Department of Radiology, AP-HP.Nord, Hôpital Beaujon, 92110 Clichy, France; Université de Paris, Faculté de Médecine & INSERM U1149 "centre de recherche sur l'inflammation", CRI, F-75018 Paris, France.
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Cannella R, Vernuccio F, Antonucci M, Gagliano DS, Matteini F, Midiri M, Brancatelli G. LI-RADS ancillary features favoring benignity: is there a role in LR-5 observations? Eur Radiol 2021; 32:1804-1812. [PMID: 34545444 DOI: 10.1007/s00330-021-08267-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 07/29/2021] [Accepted: 08/11/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVES The Liver Imaging Reporting and Data System algorithm allows category downgrade in the presence of ancillary features (AFs) favoring benignity, even in observations categorized as LR-5. This study aims to assess the role of AFs favoring benignity in LR-5 observations and their impact on category downgrade. METHODS This study included high-risk patients with at least one LR-5 observation imaged with gadoxetate disodium MRI. Three readers with different experience levels independently evaluated the presence of AFs favoring malignancy (not hepatocellular carcinoma (HCC) in particular and HCC in particular) and AFs favoring benignity. Category downgrade was considered possible in the presence of ≥ 1 AF favoring benignity and no AF favoring malignancy. Correlation between observations size and number of AFs was assessed using Spearman's rank correlation coefficient. Cohen's kappa (k) test was used to assess inter-reader agreement. RESULTS The final study cohort included 162 LR-5 (mean size: 23 ± 16 mm) in 119 patients. AFs favoring benignity were reported in 9 (5.6%), 20 (12.3%), and 10 (6.2%) LR-5 observations by reader 1, reader 2, and reader 3, respectively. Hepatobiliary phase isointensity was observed in 6 (3.7%), 2 (1.2%), and 7 (4.3%) observations, respectively. Category downgrade was considered possible in only one (0.6%) observation by reader 1 and reader 3. There was a significant correlation between observation size and number of AFs favoring malignancy (p < 0.001), not HCC in particular (p ≤ 0.010), and favoring HCC in particular (p < 0.001). Inter-reader agreement of AFs favoring benignity was poor to moderate (k range: - 0.01, 0.43). CONCLUSIONS AFs favoring benignity are not uncommon in LR-5 observations, but category downgrade is exceptional. KEY POINTS • Ancillary features favoring benignity are encountered in 5.6-12.3% of observations categorized as LR-5. • Category downgrade of LR-5 observations is very rare (0.6% of observations) in the presence of AFs favoring benignity due to the high prevalence (98-99%) of ancillary features favoring malignancy in LR-5 observations. • The inter-reader agreement of ancillary features favoring benignity is poor to moderate (k range: - 0.01, 0.43) in readers with different levels of experience.
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Affiliation(s)
- Roberto Cannella
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics, BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy.
- Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties, PROMISE, University of Palermo, 90127, Palermo, Italy.
| | - Federica Vernuccio
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics, BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy
| | - Michela Antonucci
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics, BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy
| | - Domenico Salvatore Gagliano
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics, BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy
| | - Francesco Matteini
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics, BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy
| | - Massimo Midiri
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics, BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy
| | - Giuseppe Brancatelli
- Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics, BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy
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Reig M, Forner A, Ávila MA, Ayuso C, Mínguez B, Varela M, Bilbao I, Bilbao JI, Burrel M, Bustamante J, Ferrer J, Gómez MÁ, Llovet JM, De la Mata M, Matilla A, Pardo F, Pastrana MA, Rodríguez-Perálvarez M, Tabernero J, Urbano J, Vera R, Sangro B, Bruix J. Diagnosis and treatment of hepatocellular carcinoma. Update of the consensus document of the AEEH, AEC, SEOM, SERAM, SERVEI, and SETH. Med Clin (Barc) 2021; 156:463.e1-463.e30. [PMID: 33461840 DOI: 10.1016/j.medcli.2020.09.022] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 09/12/2020] [Accepted: 09/15/2020] [Indexed: 12/12/2022]
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver neoplasm and one of the most common causes of death in patients with cirrhosis of the liver. In parallel, with recognition of the clinical relevance of this cancer, major new developments have recently appeared in its diagnosis, prognostic assessment and in particular, in its treatment. Therefore, the Spanish Association for the Study of the Liver (AEEH) has driven the need to update the clinical practice guidelines, once again inviting all the societies involved in the diagnosis and treatment of this disease to participate in the drafting and approval of the document: Spanish Society for Liver Transplantation (SETH), Spanish Society of Diagnostic Radiology (SERAM), Spanish Society of Vascular and Interventional Radiology (SERVEI), Spanish Association of Surgeons (AEC) and Spanish Society of Medical Oncology (SEOM). The clinical practice guidelines published in 2016 and accepted as National Health System Clinical Practice Guidelines were taken as the reference documents, incorporating the most important recent advances. The scientific evidence and the strength of the recommendation is based on the GRADE system.
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Affiliation(s)
- María Reig
- Unidad de Oncología Hepática (Barcelona Clinic Liver Cancer), Servicio de Hepatología, Hospital Clínic, IDIBAPS, Universidad de Barcelona, European Reference Network on Hepatological Diseases (ERN RARE-LIVER), Barcelona, España; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España
| | - Alejandro Forner
- Unidad de Oncología Hepática (Barcelona Clinic Liver Cancer), Servicio de Hepatología, Hospital Clínic, IDIBAPS, Universidad de Barcelona, European Reference Network on Hepatological Diseases (ERN RARE-LIVER), Barcelona, España; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España
| | - Matías A Ávila
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España; Programa de Hepatología, Centro de Investigación Médica Aplicada, Universidad de Navarra-IDISNA, Pamplona, España
| | - Carmen Ayuso
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España; Servicio de Radiodiagnóstico, Hospital Clínic Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, España
| | - Beatriz Mínguez
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España; Servicio de Hepatología, Hospital Universitario Vall d́Hebron, Grupo de Investigación en Enfermedades Hepáticas (VHIR), Vall d'Hebron Barcelona Hospital Campus, Universidad Autónoma de Barcelona. Barcelona, España
| | - María Varela
- Sección de Hepatología, Servicio de Aparato Digestivo, Hospital Universitario Central de Asturias. Oviedo, España
| | - Itxarone Bilbao
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España; Servicio de Cirugía Hepatobiliopancreática y Trasplantes Digestivos, Hospital Universitario Vall d'Hebron, Universidad Autónoma de Barcelona. Barcelona, España
| | - José Ignacio Bilbao
- Unidad de Radiología Vascular e Intervencionista, Departamento de Radiodiagnóstico, Clínica Universidad de Navarra, Pamplona, España
| | - Marta Burrel
- Servicio de Radiodiagnóstico, Hospital Clínic Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, España
| | - Javier Bustamante
- Servicio de Gastroenterología y Hepatología, Sección de Hepatología y Trasplante, Hospital Universitario de Cruces, Baracaldo, España
| | - Joana Ferrer
- Unidad de Oncología Hepática (Barcelona Clinic Liver Cancer), Servicio de Cirugía Hepatobiliopancreática, Hospital Clínic, IDIBAPS, Universidad de Barcelona, Barcelona, España
| | - Miguel Ángel Gómez
- Unidad de Cirugía Hepatobiliopancreática y Trasplantes, Hospital Universitario Virgen del Rocío, Sevilla, España
| | - Josep María Llovet
- Grupo de Investigación Traslacional en Oncología Hepática, Servicio de Hepatología, Hospital Clínic, IDIBAPS, Universidad de Barcelona, Barcelona, España
| | - Manuel De la Mata
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España; Unidad Clínica de Aparato Digestivo, Hospital Universitario Reina Sofía, Córdoba, España
| | - Ana Matilla
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España; Sección de Hepatología, Servicio de Aparato Digestivo, Hospital General Universitario Gregorio Marañón, Madrid, España
| | - Fernando Pardo
- Servicio de Cirugía Hepatobiliopancreática y Trasplante, Clínica Universidad de Navarra, Pamplona, España
| | - Miguel A Pastrana
- Servicio de Radiodiagnóstico, Hospital Universitario Puerta de Hierro, Universidad Autónoma de Madrid, Madrid, España
| | - Manuel Rodríguez-Perálvarez
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España; Unidad Clínica de Aparato Digestivo, Hospital Universitario Reina Sofía, Córdoba, España
| | - Josep Tabernero
- Servicio de Oncología Médica, Hospital Universitario Vall d'Hebron, Universidad Autónoma de Barcelona, Barcelona, España
| | - José Urbano
- Unidad de Radiología Vascular e Intervencionista, Servicio de Radiodiagnóstico, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Madrid, España
| | - Ruth Vera
- Servicio de Oncología Médica, Complejo hospitalario de Navarra, Navarrabiomed-IDISNA, Pamplona, España
| | - Bruno Sangro
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España; Unidad de Hepatología y Área de Oncología HBP, Clínica Universidad de Navarra-IDISNA, Pamplona, España.
| | - Jordi Bruix
- Unidad de Oncología Hepática (Barcelona Clinic Liver Cancer), Servicio de Hepatología, Hospital Clínic, IDIBAPS, Universidad de Barcelona, European Reference Network on Hepatological Diseases (ERN RARE-LIVER), Barcelona, España; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, España.
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Feng Z, Zhao H, Guan S, Wang W, Rong P. Diagnostic performance of MRI using extracellular contrast agents versus gadoxetic acid for hepatocellular carcinoma: A systematic review and meta-analysis. Liver Int 2021; 41:1117-1128. [PMID: 33647177 DOI: 10.1111/liv.14850] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 01/31/2021] [Accepted: 02/13/2021] [Indexed: 02/13/2023]
Abstract
BACKGROUND & AIMS Magnetic resonance imaging (MRI) is the first-line tool for the noninvasive diagnosis of hepatocellular carcinoma (HCC) in patients with chronic liver diseases. We performed a meta-analysis to compare the performance of MRI using extracellular contrast agents (ECA-MRI) with that using gadoxetic acid (EOB-MRI) for diagnosing HCC. METHODS We searched multiple databases for studies comparing the diagnostic performance of ECA-MRI with that of EOB-MRI in patients with suspected HCC until 31 May 2020. The bivariate random-effects model was used to pool the performance and further subgroup analysis was performed. RESULTS Eight studies were included evaluating a total of 1002 patients. ECA-MRI revealed significantly higher per-lesion sensitivity in the diagnosis of HCC than EOB-MRI did (0.76 vs 0.63, P = .002). For modified EOB-MRI (mEOB-MRI) using extended washout to the transitional phase (TP) or hepatobiliary phase (HBP), the sensitivity increased compared with that of EOB-MRI using restrictive washout in the portal venous phase (PVP) (0.74 vs 0.63, P = .07). No significant difference among the specificities of ECA-MRI, EOB-MRI, and mEOB-MRI (0.96, 0.98, and 0.93, respectively) was found. The sensitivity for lesions < 20 mm was significantly lower than that for lesions ≥ 20mm (0.66 vs 0.87, P = .01) only for ECA-MRI, which achieved higher sensitivity in Asian patients or with a 3.0 T scanner. CONCLUSIONS ECA-MRI outperforms EOB-MRI in per-lesion sensitivity for diagnosing HCC, whereas mEOB-MRI shows a trend towards improved sensitivity compared with EOB-MRI with slightly decreased specificity. Registration: Prospero CRD42020189680.
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Affiliation(s)
- Zhichao Feng
- Department of Radiology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Huafei Zhao
- Department of Radiology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Shiwei Guan
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Wei Wang
- Department of Radiology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Pengfei Rong
- Department of Radiology, Third Xiangya Hospital, Central South University, Changsha, China
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Rimola J, Forner A. Hepatobiliary contrast agents in MR: Where we stand and future perspectives. Liver Int 2021; 41:888-890. [PMID: 33861894 DOI: 10.1111/liv.14883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Affiliation(s)
- Jordi Rimola
- Radiology Department, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Alejandro Forner
- Liver Unit, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain
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Paisant A, Gillard M, Oberti F, Roux M, Aubé C. Validation of a Diagnostic Algorithm for Hepatocellular Carcinoma at Gadoxetic Acid-enhanced MRI. Radiology 2021; 300:184-186. [PMID: 33904774 DOI: 10.1148/radiol.2021204529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Online supplemental material is available for this article.
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Affiliation(s)
- Anita Paisant
- From the Department of Radiology (A.P., C.A.) and Gastroenterology and Hepatology Service (F.O.), Centre Hospitalier Universitaire d'Angers, 4 Rue Larrey, 49933 Angers, France; and Laboratoire HIFIH, UPRES EA3859, SFR 4208, UNIV Angers, Angers, France (A.P., M.G., F.O., M.R., C.A.)
| | - Malo Gillard
- From the Department of Radiology (A.P., C.A.) and Gastroenterology and Hepatology Service (F.O.), Centre Hospitalier Universitaire d'Angers, 4 Rue Larrey, 49933 Angers, France; and Laboratoire HIFIH, UPRES EA3859, SFR 4208, UNIV Angers, Angers, France (A.P., M.G., F.O., M.R., C.A.)
| | - Frédéric Oberti
- From the Department of Radiology (A.P., C.A.) and Gastroenterology and Hepatology Service (F.O.), Centre Hospitalier Universitaire d'Angers, 4 Rue Larrey, 49933 Angers, France; and Laboratoire HIFIH, UPRES EA3859, SFR 4208, UNIV Angers, Angers, France (A.P., M.G., F.O., M.R., C.A.)
| | - Marine Roux
- From the Department of Radiology (A.P., C.A.) and Gastroenterology and Hepatology Service (F.O.), Centre Hospitalier Universitaire d'Angers, 4 Rue Larrey, 49933 Angers, France; and Laboratoire HIFIH, UPRES EA3859, SFR 4208, UNIV Angers, Angers, France (A.P., M.G., F.O., M.R., C.A.)
| | - Christophe Aubé
- From the Department of Radiology (A.P., C.A.) and Gastroenterology and Hepatology Service (F.O.), Centre Hospitalier Universitaire d'Angers, 4 Rue Larrey, 49933 Angers, France; and Laboratoire HIFIH, UPRES EA3859, SFR 4208, UNIV Angers, Angers, France (A.P., M.G., F.O., M.R., C.A.)
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48
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Morisaka H, Motosugi U, Ichikawa S, Ichikawa T, Kondo T, Onishi H. Uptake of gadoxetic acid in hepatobiliary phase magnetic resonance imaging and transporter expression in hypovascular hepatocellular nodules. Eur J Radiol 2021; 138:109669. [PMID: 33770738 DOI: 10.1016/j.ejrad.2021.109669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 03/04/2021] [Accepted: 03/10/2021] [Indexed: 11/30/2022]
Abstract
AIMS To evaluate the association between contrast patterns on gadoxetic acid-enhanced hepatobiliary phase (HBP) MR images and transporter expression in surgically resected hypovascular hepatocellular nodules including early hepatocellular carcinomas (HCCs). METHODS Forty-two hypovascular hepatic nodules and 43 hypervascular HCCs as a control were included in this retrospective study. Contrast of the nodules on HBP images was graded as hypo-, iso-, or hyperintense. Histopathological assessment was performed in the context of multistep hepatocarcinogenesis. Immunohistochemical staining of organic anion transporter 1B3 (OATP1B3) and multidrug resistance protein 2 (MRP2) was performed. Cramer's coefficient was used to determine the linear relationship between contrast grades and transporter expression, and the Cochran-Armitage trend test was used to determine the relationship between transporter expression and progression of multistep hepatocarcinogenesis. RESULTS Moderate linear relationships between contrast grades and OATP1B3 expression were observed for both hypo- and hypervascular nodules. OATP1B3 expression was negatively correlated with the progression of multistep hepatocarcinogenesis. MRP2 expression was not associated with the contrast grades or histopathological results. CONCLUSION OATP1B3 expression was associated with contrast grades of hepatocellular nodules observed in HBP image of gadoxetic acid-enhanced MRI in the hypovascular hepatocellular nodules and was negatively correlated with hepatocarcinogenesis.
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Affiliation(s)
- Hiroyuki Morisaka
- Department of Radiology, University of Yamanashi, 409-3898, Shimokato, Chuo, Yamanashi, Japan.
| | - Utaroh Motosugi
- Department of Radiology, University of Yamanashi, 409-3898, Shimokato, Chuo, Yamanashi, Japan; Department of Radiology, Kofu-Kyoritsu Hospital, 400-0034, Takara, Kofu, Yamanashi, Japan
| | - Shintaro Ichikawa
- Department of Radiology, University of Yamanashi, 409-3898, Shimokato, Chuo, Yamanashi, Japan
| | - Tomoaki Ichikawa
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University, 371-8511, Showa, Maebashi, Gunma, Japan
| | - Tetsuo Kondo
- Department of Human Pathology, University of Yamanashi, 409-3898, Shimokato, Chuo, Yamanashi, Japan
| | - Hiroshi Onishi
- Department of Radiology, University of Yamanashi, 409-3898, Shimokato, Chuo, Yamanashi, Japan
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49
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Hepatocellular carcinoma. Nat Rev Dis Primers 2021. [DOI: 10.1038/s41572-020-00240-3 order by 1-- #] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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50
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Llovet JM, Kelley RK, Villanueva A, Singal AG, Pikarsky E, Roayaie S, Lencioni R, Koike K, Zucman-Rossi J, Finn RS. Hepatocellular carcinoma. Nat Rev Dis Primers 2021; 7:6. [PMID: 33479224 DOI: 10.1038/s41572-020-00240-3] [Citation(s) in RCA: 3632] [Impact Index Per Article: 908.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/08/2020] [Indexed: 02/07/2023]
Abstract
Liver cancer remains a global health challenge, with an estimated incidence of >1 million cases by 2025. Hepatocellular carcinoma (HCC) is the most common form of liver cancer and accounts for ~90% of cases. Infection by hepatitis B virus and hepatitis C virus are the main risk factors for HCC development, although non-alcoholic steatohepatitis associated with metabolic syndrome or diabetes mellitus is becoming a more frequent risk factor in the West. Moreover, non-alcoholic steatohepatitis-associated HCC has a unique molecular pathogenesis. Approximately 25% of all HCCs present with potentially actionable mutations, which are yet to be translated into the clinical practice. Diagnosis based upon non-invasive criteria is currently challenged by the need for molecular information that requires tissue or liquid biopsies. The current major advancements have impacted the management of patients with advanced HCC. Six systemic therapies have been approved based on phase III trials (atezolizumab plus bevacizumab, sorafenib, lenvatinib, regorafenib, cabozantinib and ramucirumab) and three additional therapies have obtained accelerated FDA approval owing to evidence of efficacy. New trials are exploring combination therapies, including checkpoint inhibitors and tyrosine kinase inhibitors or anti-VEGF therapies, or even combinations of two immunotherapy regimens. The outcomes of these trials are expected to change the landscape of HCC management at all evolutionary stages.
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Affiliation(s)
- Josep M Llovet
- Mount Sinai Liver Cancer Program, Division of Liver Diseases, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Translational Research in Hepatic Oncology, Liver Unit, IDIBAPS, Hospital Clinic, University of Barcelona, Catalonia, Spain. .,Institució Catalana d'Estudis Avançats (ICREA), Barcelona, Catalonia, Spain.
| | - Robin Kate Kelley
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco (UCSF), San Francisco, CA, USA
| | - Augusto Villanueva
- Mount Sinai Liver Cancer Program, Division of Liver Diseases, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amit G Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Eli Pikarsky
- The Lautenberg Center for Immunology and Cancer Research, IMRIC, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Sasan Roayaie
- White Plains Hospital Center for Cancer Care, Montefiore Health, White Plains, NY, USA
| | - Riccardo Lencioni
- Department of Radiology, Pisa University School of Medicine, Pisa, Italy.,Department of Radiology, Miami Cancer Insitute, Miami, FL, USA
| | - Kazuhiko Koike
- The University of Tokyo, Department of Gastroenterology, Tokyo, Japan
| | - Jessica Zucman-Rossi
- Centre de Recherche des Cordeliers, Sorbonne Université, Inserm, USPC, Université Paris Descartes, Université Paris Diderot, Paris, France.,Hôpital Européen Georges Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Richard S Finn
- Department of Oncology, Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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