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Mashiko T, Carreras J, Ogasawara T, Masuoka Y, Ei S, Takahashi S, Nomura T, Mori M, Koyanagi K, Yamamoto S, Nakamura N, Nakagohri T. Intrahepatic cholangiocarcinoma with arterial phase hyperenhancement and specialized tumor microenvironment associated with good prognosis after radical resection: A single-center retrospective study. Surgery 2024; 176:259-266. [PMID: 38796389 DOI: 10.1016/j.surg.2024.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 02/06/2024] [Accepted: 03/17/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND This single-center retrospective study aimed to clarify the clinical and pathologic background of mass-forming intrahepatic cholangiocarcinomas. METHODS A total of 53 patients with mass-forming intrahepatic cholangiocarcinomas were selected from 2007 to 2021 and analyzed based on several parameters, including the preoperative computed tomography pattern (enhancement in the arterial phase of dynamic contrast-enhanced computed tomography), clinical data, and tumor microenvironment evaluated by immunohistochemistry. The hyperenhancement (n = 13) and hypoenhancement (n = 40) groups were defined using the 50% cutoff of tumors with higher attenuation than the liver parenchyma. RESULTS The hyperenhancement group was characterized by a better overall survival than the hypoenhancement group (5-year survival: 86% vs 27%, respectively; P < .001) and by a higher infiltration of peritumoral (92% vs 58%; P = .020) and intratumoral CD3-positive T lymphocytes (85% vs 35%; P = .002). Conversely, the hypoenhancement group was characterized by a higher infiltration versus peritumoral CD163-positive tumor-associated macrophages (60% vs 8%; P = .001), peritumoral pentraxin 3-positive tumor-associated macrophages (50% vs 15%; P = .024), and intratumoral α-smooth muscle actin-positive cancer-associated fibroblasts (15% vs 68%; P = .001). A multiple regression analysis was performed to predict overall survival from the microenvironment, and the independent poor predictor factors were low intratumoral CD3-positive T lymphocytes (hazard ratio = 2.75), high peritumoral (hazard ratio = 2.38), and intratumoral CD163-positive tumor-associated macrophages (hazard ratio = 2.81) (all P values < 0.05). CONCLUSION Compared with hypovascular, hypervascular mass-forming intrahepatic cholangiocarcinomas have better tumor immunity and prognosis.
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Affiliation(s)
- Taro Mashiko
- Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan
| | - Joaquim Carreras
- Department of Pathology, Tokai University School of Medicine, Isehara, Japan
| | - Toshihito Ogasawara
- Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan
| | - Yoshihito Masuoka
- Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan
| | - Shigenori Ei
- Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan
| | - Shinichiro Takahashi
- Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan
| | - Takakiyo Nomura
- Department of Radiology, Tokai University School of Medicine, Isehara, Japan
| | - Masaki Mori
- Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan
| | - Kazuo Koyanagi
- Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan
| | - Seiichiro Yamamoto
- Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan
| | - Naoya Nakamura
- Department of Pathology, Tokai University School of Medicine, Isehara, Japan
| | - Toshio Nakagohri
- Department of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan.
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2
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Bragazzi MC, Venere R, Ribichini E, Covotta F, Cardinale V, Alvaro D. Intrahepatic cholangiocarcinoma: Evolving strategies in management and treatment. Dig Liver Dis 2024; 56:383-393. [PMID: 37722960 DOI: 10.1016/j.dld.2023.08.052] [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: 07/10/2023] [Revised: 08/07/2023] [Accepted: 08/21/2023] [Indexed: 09/20/2023]
Abstract
Intrahepatic cholangiocarcinoma is the second most frequent primary liver cancer after hepatocellular carcinoma. According to International Classification of Diseases-11 (ICD-11), intrahepatic cholangiocarcinoma is identified by a specific diagnostic code, different with respect to perihilar-CCA or distal-CCA. Intrahepatic cholangiocarcinoma originates from intrahepatic small or large bile ducts including the second-order bile ducts and has a silent presentation that combined with the highly aggressive nature and refractoriness to chemotherapy contributes to the alarming increasing incidence and mortality. Indeed, at the moment of the diagnosis, less than 40% of intrahepatic cholangiocarcinoma are suitable of curative surgical therapy, that is so far the only effective treatment. The main goals of clinicians and researchers are to make an early diagnosis, and to carry out molecular characterization to provide the patient with personalized treatment. Unfortunately, these goals are not easily achievable because of the heterogeneity of this tumor from anatomical, molecular, biological, and clinical perspectives. However, recent progress has been made in molecular characterization, surgical treatment, and management of intrahepatic cholangiocarcinoma and, this article deals with these advances.
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Affiliation(s)
- Maria Consiglia Bragazzi
- Department of Medical-Surgical Sciences and Biotechnology, Sapienza University of Rome Polo Pontino, Italy.
| | - Rosanna Venere
- Department of Medical-Surgical Sciences and Biotechnology, Sapienza University of Rome Polo Pontino, Italy
| | - Emanuela Ribichini
- Department Translational and Precision, Sapienza University of Rome, Italy
| | - Francesco Covotta
- Department Translational and Precision, Sapienza University of Rome, Italy
| | - Vincenzo Cardinale
- Department Translational and Precision, Sapienza University of Rome, Italy
| | - Domenico Alvaro
- Department Translational and Precision, Sapienza University of Rome, Italy
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3
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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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Lin W, He N, Zeng Q, Wu L, Qiu S, Zheng R. Efficacy of Multiple Modified Methods of Criteria for LR-M Liver Nodules of Different Sizes: Clinical Practice and Discussion in CEUS LI-RADS Version 2017. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:2739-2748. [PMID: 37584497 DOI: 10.1002/jum.16308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 03/20/2023] [Accepted: 07/12/2023] [Indexed: 08/17/2023]
Abstract
OBJECTIVES To assess the diagnostic performance of the modified LR-M method of CEUS LI-RADS version 2017 with nodules of different sizes. METHODS This retrospective study included consecutive patients with high risk for HCC who underwent CEUS between 2019 and 2021, demonstrating an LR-M observed using CEUS LI-RADS version 2017. Four modified LR-M methods were used to evaluate nodules of different sizes. The diagnostic performances of the four modified LR-M methods were assessed in LR-M nodules of different sizes by the area under the receiver operating characteristic curve (AUC). RESULTS The 261 patients with LR-M observations included 166 HCCs and 95 non-HCCs. A total of 133 nodules were <30 mm and defined as group A, 78 nodules were 30-50 mm in size and defined as group B, and 50 nodules were >50 mm and defined as group C. The AUCs between criterion I, II, III, and IV were not significantly different in all LR-M nodules. The AUCs of the ROC curves between criterion I, II, III, and IV were not significantly different in group A. However, the AUC of criterion IV was significantly higher than that of criterion I and III in group B, and the AUCs of criterion I and criterion III were both not significant in group B; the AUC of criterion IV was not significant in group C. CONCLUSIONS The modified LR-M method could moderate the detection effectiveness in differentiating HCC from other lesions. According to tumor size, the selection of appropriate modified LR-M diagnostic criteria could effectively improve the diagnostic performance of LR-M.
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Affiliation(s)
- Weizhen Lin
- Department of Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Na He
- Department of Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Qingjin Zeng
- Department of Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Lili Wu
- Department of Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Shaodong Qiu
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Rongqin Zheng
- Department of Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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Liu N, Wu Y, Tao Y, Zheng J, Huang X, Yang L, Zhang X. Differentiation of Hepatocellular Carcinoma from Intrahepatic Cholangiocarcinoma through MRI Radiomics. Cancers (Basel) 2023; 15:5373. [PMID: 38001633 PMCID: PMC10670473 DOI: 10.3390/cancers15225373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/25/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
The purpose of this study was to investigate the efficacy of magnetic resonance imaging (MRI) radiomics in differentiating hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma (ICC). The clinical and MRI data of 129 pathologically confirmed HCC patients and 48 ICC patients treated at the Affiliated Hospital of North Sichuan Medical College between April 2016 and December 2021 were retrospectively analyzed. The patients were randomly divided at a ratio of 7:3 into a training group of 124 patients (90 with HCC and 34 with ICC) and a validation group of 53 patients (39 with HCC and 14 with ICC). Radiomic features were extracted from axial fat suppression T2-weighted imaging (FS-T2WI) and axial arterial-phase (AP) and portal-venous-phase (PVP) dynamic-contrast-enhanced MRI (DCE-MRI) sequences, and the corresponding datasets were generated. The least absolute shrinkage and selection operator (LASSO) method was used to select the best radiomic features. Logistic regression was used to establish radiomic models for each sequence (FS-T2WI, AP and PVP models), a clinical model for optimal clinical variables (C model) and a joint radiomics model (JR model) integrating the radiomics features of all the sequences as well as a radiomics-clinical model combining optimal radiomic features and clinical risk factors (RC model). The performance of each model was evaluated using the area under the receiver operating characteristic curve (AUC). The AUCs of the FS-T2WI, AP, PVP, JR, C and RC models for distinguishing HCC from ICC were 0.693, 0.863, 0.818, 0.914, 0.936 and 0.977 in the training group and 0.690, 0.784, 0.727, 0.802, 0.860 and 0.877 in the validation group, respectively. The results of this study suggest that MRI-based radiomics may help noninvasively differentiate HCC from ICC. The model integrating the radiomics features and clinical risk factors showed a further improvement in performance.
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Affiliation(s)
- Ning Liu
- Medical Imaging Key Laboratory of Sichuan Province, Interventional Medical Center, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China; (N.L.); (Y.W.); (Y.T.); (J.Z.); (X.H.); (X.Z.)
- Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital. C.T.), Chengdu 610041, China
| | - Yaokun Wu
- Medical Imaging Key Laboratory of Sichuan Province, Interventional Medical Center, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China; (N.L.); (Y.W.); (Y.T.); (J.Z.); (X.H.); (X.Z.)
| | - Yunyun Tao
- Medical Imaging Key Laboratory of Sichuan Province, Interventional Medical Center, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China; (N.L.); (Y.W.); (Y.T.); (J.Z.); (X.H.); (X.Z.)
| | - Jing Zheng
- Medical Imaging Key Laboratory of Sichuan Province, Interventional Medical Center, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China; (N.L.); (Y.W.); (Y.T.); (J.Z.); (X.H.); (X.Z.)
| | - Xiaohua Huang
- Medical Imaging Key Laboratory of Sichuan Province, Interventional Medical Center, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China; (N.L.); (Y.W.); (Y.T.); (J.Z.); (X.H.); (X.Z.)
| | - Lin Yang
- Medical Imaging Key Laboratory of Sichuan Province, Interventional Medical Center, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China; (N.L.); (Y.W.); (Y.T.); (J.Z.); (X.H.); (X.Z.)
| | - Xiaoming Zhang
- Medical Imaging Key Laboratory of Sichuan Province, Interventional Medical Center, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China; (N.L.); (Y.W.); (Y.T.); (J.Z.); (X.H.); (X.Z.)
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6
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Alvaro D, Gores GJ, Walicki J, Hassan C, Sapisochin G, Komuta M, Forner A, Valle JW, Laghi A, Ilyas SI, Park JW, Kelley RK, Reig M, Sangro B. EASL-ILCA Clinical Practice Guidelines on the management of intrahepatic cholangiocarcinoma. J Hepatol 2023; 79:181-208. [PMID: 37084797 DOI: 10.1016/j.jhep.2023.03.010] [Citation(s) in RCA: 40] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 03/10/2023] [Indexed: 04/23/2023]
Abstract
Intrahepatic cholangiocarcinoma (iCCA) develops inside the liver, between bile ductules and the second-order bile ducts. It is the second most frequent primary liver cancer after hepatocellular carcinoma, and its global incidence is increasing. It is associated with an alarming mortality rate owing to its silent presentation (often leading to late diagnosis), highly aggressive nature and resistance to treatment. Early diagnosis, molecular characterisation, accurate staging and personalised multidisciplinary treatments represent current challenges for researchers and physicians. Unfortunately, these challenges are beset by the high heterogeneity of iCCA at the clinical, genomic, epigenetic and molecular levels, very often precluding successful management. Nonetheless, in the last few years, progress has been made in molecular characterisation, surgical management, and targeted therapy. Recent advances together with the awareness that iCCA represents a distinct entity amongst the CCA family, led the ILCA and EASL governing boards to commission international experts to draft dedicated evidence-based guidelines for physicians involved in the diagnostic, prognostic, and therapeutic management of iCCA.
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7
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Cerrito L, Ainora ME, Borriello R, Piccirilli G, Garcovich M, Riccardi L, Pompili M, Gasbarrini A, Zocco MA. Contrast-Enhanced Imaging in the Management of Intrahepatic Cholangiocarcinoma: State of Art and Future Perspectives. Cancers (Basel) 2023; 15:3393. [PMID: 37444503 DOI: 10.3390/cancers15133393] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/23/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
Intrahepatic cholangiocarcinoma (iCCA) represents the second most common liver cancer after hepatocellular carcinoma, accounting for 15% of primary liver neoplasms. Its incidence and mortality rate have been rising during the last years, and total new cases are expected to increase up to 10-fold during the next two or three decades. Considering iCCA's poor prognosis and rapid spread, early diagnosis is still a crucial issue and can be very challenging due to the heterogeneity of tumor presentation at imaging exams and the need to assess a correct differential diagnosis with other liver lesions. Abdominal contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI) plays an irreplaceable role in the evaluation of liver masses. iCCA's most typical imaging patterns are well-described, but atypical features are not uncommon at both CT and MRI; on the other hand, contrast-enhanced ultrasound (CEUS) has shown a great diagnostic value, with the interesting advantage of lower costs and no renal toxicity, but there is still no agreement regarding the most accurate contrastographic patterns for iCCA detection. Besides diagnostic accuracy, all these imaging techniques play a pivotal role in the choice of the therapeutic approach and eligibility for surgery, and there is an increasing interest in the specific imaging features which can predict tumor behavior or histologic subtypes. Further prognostic information may also be provided by the extraction of quantitative data through radiomic analysis, creating prognostic multi-parametric models, including clinical and serological parameters. In this review, we aim to summarize the role of contrast-enhanced imaging in the diagnosis and management of iCCA, from the actual issues in the differential diagnosis of liver masses to the newest prognostic implications.
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Affiliation(s)
- Lucia Cerrito
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Maria Elena Ainora
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Raffaele Borriello
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Giulia Piccirilli
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Matteo Garcovich
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Laura Riccardi
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Maurizio Pompili
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Antonio Gasbarrini
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Maria Assunta Zocco
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
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8
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Zhang X, Wang Z, Tang W, Wang X, Liu R, Bao H, Chen X, Wei Y, Wu S, Bao H, Wu X, Shao Y, Fan J, Zhou J. Ultrasensitive and affordable assay for early detection of primary liver cancer using plasma cell-free DNA fragmentomics. Hepatology 2022; 76:317-329. [PMID: 34954829 DOI: 10.1002/hep.32308] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/13/2021] [Accepted: 12/21/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS Early detection of primary liver cancer (PLC), including HCC, intrahepatic cholangiocarcinoma (ICC), and combined HCC-ICC (cHCC-ICC), is essential for patients' survival. This study aims to develop an accurate and affordable method for PLC early detection and differentiating ICC from HCC using plasma cell-free DNA (cfDNA) fragmentomic profiles. APPROACH AND RESULTS Whole-genome sequencings (WGS) were performed using plasma cfDNA samples from 192 patients with PLC (159 HCC, 26 ICC, 7 cHCC-ICC) and 170 noncancer controls (including 53 liver cirrhosis [LC] or HBV-positive) enrolled in the training cohort. An ensembled stacked model for PLC detection was constructed using the training cohort. The model performance was assessed in an independent test cohort (189 patients with PLC [157 HCC, 26 ICC, 6 cHCC-ICC], 164 noncancer controls [including 51 LC/HBV]). Our model showed excellent performance for cancer detection in the test cohort (AUC: 0.995, 96.8% sensitivity at 98.8% specificity). It showed excellent sensitivities in detecting early-stage PLC (I: 95.9%, II: 97.9%), small tumors (≤3 cm: 98.2%), and HCC (96.2%) or ICC (100%). The AUC for distinguishing PLC from LC/HBV reached 0.985 (96.8% specificity at 96.1% specificity). Promisingly, our model maintained consistent performances during the downsampling process, even using 1X coverage data (AUC: 0.994, 93.7% sensitivity at 98.8% specificity). A separate model showed potential for distinguishing ICC from HCC (AUC: 0.776). CONCLUSIONS Our model, outperforming previous reports at a lower cost by solely using low-coverage WGS data, exhibits excellent clinical potential for ultrasensitive and affordable detection of PLC and its subtypes.
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Affiliation(s)
- Xiangyu Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zheng Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wanxiangfu Tang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Xinyu Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Rui Liu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Hua Bao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Xin Chen
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Yulin Wei
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Shuyu Wu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Hairong Bao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Xue Wu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Yang Shao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China.,Institute of Biomedical Sciences, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China.,Institute of Biomedical Sciences, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
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9
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De Muzio F, Grassi F, Dell’Aversana F, Fusco R, Danti G, Flammia F, Chiti G, Valeri T, Agostini A, Palumbo P, Bruno F, Cutolo C, Grassi R, Simonetti I, Giovagnoni A, Miele V, Barile A, Granata V. A Narrative Review on LI-RADS Algorithm in Liver Tumors: Prospects and Pitfalls. Diagnostics (Basel) 2022; 12:diagnostics12071655. [PMID: 35885561 PMCID: PMC9319674 DOI: 10.3390/diagnostics12071655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/27/2022] [Accepted: 07/05/2022] [Indexed: 11/16/2022] Open
Abstract
Liver cancer is the sixth most detected tumor and the third leading cause of tumor death worldwide. Hepatocellular carcinoma (HCC) is the most common primary liver malignancy with specific risk factors and a targeted population. Imaging plays a major role in the management of HCC from screening to post-therapy follow-up. In order to optimize the diagnostic-therapeutic management and using a universal report, which allows more effective communication among the multidisciplinary team, several classification systems have been proposed over time, and LI-RADS is the most utilized. Currently, LI-RADS comprises four algorithms addressing screening and surveillance, diagnosis on computed tomography (CT)/magnetic resonance imaging (MRI), diagnosis on contrast-enhanced ultrasound (CEUS) and treatment response on CT/MRI. The algorithm allows guiding the radiologist through a stepwise process of assigning a category to a liver observation, recognizing both major and ancillary features. This process allows for characterizing liver lesions and assessing treatment. In this review, we highlighted both major and ancillary features that could define HCC. The distinctive dynamic vascular pattern of arterial hyperenhancement followed by washout in the portal-venous phase is the key hallmark of HCC, with a specificity value close to 100%. However, the sensitivity value of these combined criteria is inadequate. Recent evidence has proven that liver-specific contrast could be an important tool not only in increasing sensitivity but also in diagnosis as a major criterion. Although LI-RADS emerges as an essential instrument to support the management of liver tumors, still many improvements are needed to overcome the current limitations. In particular, features that may clearly distinguish HCC from cholangiocarcinoma (CCA) and combined HCC-CCA lesions and the assessment after locoregional radiation-based therapy are still fields of research.
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Affiliation(s)
- Federica De Muzio
- Department of Medicine and Health Sciences V. Tiberio, University of Molise, 86100 Campobasso, Italy;
| | - Francesca Grassi
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 81100 Naples, Italy; (F.G.); (F.D.); (R.G.)
| | - Federica Dell’Aversana
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 81100 Naples, Italy; (F.G.); (F.D.); (R.G.)
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Naples, Italy
- Correspondence:
| | - Ginevra Danti
- Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy; (G.D.); (F.F.); (G.C.); (V.M.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Federica Flammia
- Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy; (G.D.); (F.F.); (G.C.); (V.M.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Giuditta Chiti
- Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy; (G.D.); (F.F.); (G.C.); (V.M.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Tommaso Valeri
- Department of Clinical Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (T.V.); (A.A.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, Via Tronto 10/a, 60126 Torrette, Italy
| | - Andrea Agostini
- Department of Clinical Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (T.V.); (A.A.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, Via Tronto 10/a, 60126 Torrette, Italy
| | - Pierpaolo Palumbo
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
- Area of Cardiovascular and Interventional Imaging, Department of Diagnostic Imaging, Abruzzo Health Unit 1, 67100 L’Aquila, Italy
| | - Federico Bruno
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
- Emergency Radiology, San Salvatore Hospital, Via Lorenzo Natali 1, 67100 L’Aquila, Italy;
| | - Carmen Cutolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84084 Fisciano, Italy;
| | - Roberta Grassi
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 81100 Naples, Italy; (F.G.); (F.D.); (R.G.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Igino Simonetti
- Radiology Division, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Via Mariano Semmola, 80131 Naples, Italy; (I.S.); (V.G.)
| | - Andrea Giovagnoni
- Department of Clinical Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (T.V.); (A.A.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, Via Tronto 10/a, 60126 Torrette, Italy
| | - Vittorio Miele
- Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy; (G.D.); (F.F.); (G.C.); (V.M.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Antonio Barile
- Emergency Radiology, San Salvatore Hospital, Via Lorenzo Natali 1, 67100 L’Aquila, Italy;
| | - Vincenza Granata
- Radiology Division, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Via Mariano Semmola, 80131 Naples, Italy; (I.S.); (V.G.)
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Integrative Analysis of Intrahepatic Cholangiocarcinoma Subtypes for Improved Patient Stratification: Clinical, Pathological, and Radiological Considerations. Cancers (Basel) 2022; 14:cancers14133156. [PMID: 35804931 PMCID: PMC9264781 DOI: 10.3390/cancers14133156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 06/20/2022] [Accepted: 06/23/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Liver cancer subtypes differ in prognosis and genetic alterations. An accurate diagnosis made on time is the key aspect of clinical decision-making. Hence, a correct diagnosis is of pivotal importance for individual patients. In this study, we identified the most relevant clinical, radiological, and histological parameters for an improved subtype diagnosis of intrahepatic cholangiocarcinoma. As a result of our study, the radiologist should consider factors such as growth pattern, location, and contrast agent behavior. For the pathologist, precursor lesions, mucin secretion, and a periductal-infiltrating growth are of utmost importance, while immunohistochemical analyses are essential for exclusion of extrahepatic malignancies, but have so far only value for iCCA subtype analysis in the context with other parameters. Abstract Intrahepatic cholangiocarcinomas (iCCAs) may be subdivided into large and small duct types that differ in etiology, molecular alterations, therapy, and prognosis. Therefore, the optimal iCCA subtyping is crucial for the best possible patient outcome. In our study, we analyzed 148 small and 84 large duct iCCAs regarding their clinical, radiological, histological, and immunohistochemical features. Only 8% of small duct iCCAs, but 27% of large duct iCCAs, presented with initial jaundice. Ductal tumor growth pattern and biliary obstruction were significant radiological findings in 33% and 48% of large duct iCCAs, respectively. Biliary epithelial neoplasia and intraductal papillary neoplasms of the bile duct were detected exclusively in large duct type iCCAs. Other distinctive histological features were mucin formation and periductal-infiltrating growth pattern. Immunohistochemical staining against CK20, CA19-9, EMA, CD56, N-cadherin, and CRP could help distinguish between the subtypes. To summarize, correct subtyping of iCCA requires an interplay of several factors. While the diagnosis of a precursor lesion, evidence of mucin, or a periductal-infiltrating growth pattern indicates the diagnosis of a large duct type, in their absence, several other criteria of diagnosis need to be combined.
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Khosla D, Zaheer S, Gupta R, Madan R, Goyal S, Kumar N, Kapoor R. Role of intraluminal brachytherapy in palliation of biliary obstruction in cholangiocarcinoma: A brief review. World J Gastrointest Endosc 2022; 14:106-112. [PMID: 35432743 PMCID: PMC8984530 DOI: 10.4253/wjge.v14.i3.106] [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: 05/30/2021] [Revised: 11/24/2021] [Accepted: 02/27/2022] [Indexed: 02/06/2023] Open
Abstract
Surgery is the only curative treatment for cholangiocarcinoma. However, most patients present with advanced disease, and hence are unresectable. Thus, the intent of treatment shifts from curative to palliative in the majority of cases. Biliary drainage with intraluminal brachytherapy is an effective means of relieving the malignant biliary obstruction. In this review, we discuss the role of brachytherapy in the palliation of obstructive symptoms in extrahepatic cholangiocarcinoma.
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Affiliation(s)
- Divya Khosla
- Department of Radiotherapy and Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, U.T., India
| | - Samreen Zaheer
- Department of Radiotherapy and Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, U.T., India
| | - Rahul Gupta
- Department of Gastroenterology and Hepatology, Shalby Multispeciality Hospital, Mohali 160062, Punjab, India
| | - Renu Madan
- Department of Radiotherapy and Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, U.T., India
| | - Shikha Goyal
- Department of Radiotherapy and Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, U.T., India
| | - Narendra Kumar
- Department of Radiotherapy and Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, U.T., India
| | - Rakesh Kapoor
- Department of Radiotherapy and Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, U.T., India
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Zheng K, Fu S, Leng B, Cui Y, Yang R, Cao G, Xu L, Li WQ, Li Y, Zhu X, Gao S, Liu P, Wang X. Signal enhancement ratio of CE-MRI: a potential biomarker of survival after hepatic arterial infusion chemotherapy in biliary tract cancers. Insights Imaging 2022; 13:46. [PMID: 35286496 PMCID: PMC8921414 DOI: 10.1186/s13244-022-01188-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 02/15/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The association of contrast-enhanced MRI (CE-MRI) and the overall survival (OS) of biliary tract cancers (BTC) is ambiguous. Thus, the aim of this study is to evaluate the value of signal enhancement ratio (SER) and its early change in CE-MRI as biomarkers of survival after hepatic arterial infusion chemotherapy (HAIC) in BTC.
Results
One hundred and two BTC patients treated via HAIC with 3cir-OFF regimen between January 2011 and June 2020 were enrolled in this retrospective study. The median progression-free survival (PFS) and OS were 9.8 months [range 1.5–83.3 months, 95% confidence interval (CI) 7.789–11.811] and 14.2 months (range 1.8–83.3 months, 95% CI: 11.106–17.294), respectively. The cutoff value of SER before HAIC (SER0) was 1.04, and both median PFS and OS in the SER0 ≥ 1.04 group were longer than in the SER0 < 1.04 group (median PFS: 10.5 vs. 8.5 months, p = 0.027; median OS: 23.9 vs. 12.3 months, p < 0.001). The median OS in the ΔSER > 0 group was longer than in the ΔSER < 0 group (17.3 versus 12.8 months, p = 0.029 (ΔSER means the change of SER after two cycles of HAIC). Multivariate analysis showed SER0 (p = 0.029) and HAIC treatment cycle (p = 0.002) were independent predictors of longer survival.
Conclusions
SER in CE-MRI before HAIC (SER0) is a potential biomarker for the prediction of survival after HAIC in advanced BTC.
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13
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LR-M Observations on Contrast-Enhanced Ultrasound: Detection of Hepatocellular Carcinoma Using Additional Features in Comparison with Current LI-RADS Criteria. AJR Am J Roentgenol 2021; 219:76-85. [PMID: 34910538 DOI: 10.2214/ajr.21.26837] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Background: Contrast-enhanced ultrasound (CEUS) LI-RADS assigns category LR-M for observations that are definitely or probably malignant but that are not specific on imaging for hepatocellular carcinoma (HCC). A high percentage of LR-M observations represent HCC. Objective: To retrospectively evaluate the utility of additional features, beyond conventional LI-RADS major features, for detecting HCC among LR-M observations on CEUS. Methods: This retrospective study included 174 patients (145 men, 29 women; mean age, 53 years) at high-risk for HCC who underwent CEUS from August 2014 to June 2016, demonstrating an LR-M observation using CEUS LI-RADS version 2017. Two radiologists independently assessed CEUS images for major features and four additional features (chaotic vessels, peripheral circular artery, clear boundary of the tumor enhancement, clear boundary of the intratumoral nonenhanced area). Diagnostic performance was assessed of four proposed criteria for the detection of HCC among LR-M observations. The impact on HCC detection of criteria based on the additional findings was further explored. Histology or composite imaging and clinical follow-up served as reference standard. Results: The 174 LR-M observations included 142 HCCs and 32 non-HCCs (20 intrahepatic cholangiocarcinomas, 5 combined hepatocellular-cholangiocarcinomas, 7 benign lesions). Interreader agreement of the additional features, expressed as kappa, ranged from 0.65 to 0.88. Two of the additional features exhibited PPV ≥95.0% for HCC: chaotic vessels (95.0%) and peripheral circular arteries (98.1%). The presence of either of these two additional features achieved sensitivity of 50.7%, specificity of 90.6%, PPV of 96.0%, and NPV of 29.3% for HCC. Three other explored criteria incorporating variations of major LI-RADS features, but not the additional features, had sensitivities of 55.6%-96.5%, specificities of 49.6%-68.8%, PPVs of 87.8%-90.6%, and NPVs of 25.0%-75.0%. Criteria using additional features recategorized 75 of 174 LR-M observations as LR-5, of which 72 were HCC. Conclusion: The presence of chaotic vessels and/or peripheral circular artery had high specificity and PPV for HCC among LR-M observations. Other explored criteria based on major features did not achieve higher specificity or PPV. Clinical Impact: Clinical adoption of the additional CEUS features could help establish the diagnosis of HCC noninvasively and avoid the need for biopsy of LR-M observations.
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14
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Li J, Zhao T, Li J, Shen J, Jia L, Zhu B, Dang L, Ma C, Liu D, Mu F, Hu L, Sun S. Precision N-glycoproteomics reveals elevated LacdiNAc as a novel signature of intrahepatic cholangiocarcinoma. Mol Oncol 2021; 16:2135-2152. [PMID: 34855283 PMCID: PMC9168967 DOI: 10.1002/1878-0261.13147] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 11/02/2021] [Accepted: 11/30/2021] [Indexed: 12/09/2022] Open
Abstract
Primary liver cancer, mainly comprising hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), remains a major global health problem. Although ICC is clinically different from HCC, their molecular differences are still largely unclear. In this study, precision N‐glycoproteomic analysis was performed on both ICC and HCC tumors as well as paracancer tissues to investigate their aberrant site‐specific N‐glycosylation. By using our newly developed glycoproteomic methods and novel algorithm, termed ‘StrucGP’, a total of 486 N‐glycan structures attached on 1235 glycosites were identified from 894 glycoproteins in ICC and HCC tumors. Notably, glycans with uncommon LacdiNAc (GalNAcβ1‐4GlcNAc) structures were distinguished from their isomeric glycans. In addition to several bi‐antennary and/or bisecting glycans that were commonly elevated in ICC and HCC, a number of LacdiNAc‐containing, tri‐antennary, and core‐fucosylated glycans were uniquely increased in ICC. More interestingly, almost all LacdiNAc‐containing N‐glycopeptides were enhanced in ICC tumor but not in HCC tumor, and this phenomenon was further confirmed by lectin histochemistry and the high expression of β1‐4 GalNAc transferases in ICC at both mRNA and protein expression levels. The novel N‐glycan alterations uniquely detected in ICC provide a valuable resource for future studies regarding to the discovery of ICC diagnostic biomarkers, therapeutic targets, and mechanism investigations.
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Affiliation(s)
- Jun Li
- College of Life ScienceNorthwest UniversityXi'anChina
| | - Ting Zhao
- College of Life ScienceNorthwest UniversityXi'anChina
| | - Jing Li
- College of Life ScienceNorthwest UniversityXi'anChina
| | - Jiechen Shen
- College of Life ScienceNorthwest UniversityXi'anChina
| | - Li Jia
- College of Life ScienceNorthwest UniversityXi'anChina
| | - Bojing Zhu
- College of Life ScienceNorthwest UniversityXi'anChina
| | - Liuyi Dang
- College of Life ScienceNorthwest UniversityXi'anChina
| | - Chen Ma
- College of Life ScienceNorthwest UniversityXi'anChina
| | - Didi Liu
- College of Life ScienceNorthwest UniversityXi'anChina
| | - Fan Mu
- Department of Hepatobiliary SurgeryInstitute of Advanced Surgical Technology and EngineeringThe First Affiliated Hospital of Xi'an Jiaotong UniversityChina
| | - Liangshuo Hu
- Department of Hepatobiliary SurgeryInstitute of Advanced Surgical Technology and EngineeringThe First Affiliated Hospital of Xi'an Jiaotong UniversityChina
| | - Shisheng Sun
- College of Life ScienceNorthwest UniversityXi'anChina
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15
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Zhao F, Pang G, Li X, Yang S, Zhong H. Value of perfusion parameters histogram analysis of triphasic CT in differentiating intrahepatic mass forming cholangiocarcinoma from hepatocellular carcinoma. Sci Rep 2021; 11:23163. [PMID: 34848818 PMCID: PMC8633216 DOI: 10.1038/s41598-021-02667-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 11/22/2021] [Indexed: 02/08/2023] Open
Abstract
We aim to gain further insight into identifying differential perfusion parameters and corresponding histogram parameters of intrahepatic mass-forming cholangiocarcinoma (IMCC) from hepatocellular carcinomas (HCCs) on triphasic computed tomography (CT) scans. 90 patients with pathologically confirmed HCCs (n = 54) and IMCCs (n = 36) who underwent triple-phase enhanced CT imaging were included. Quantitative analysis of CT images derived from triphasic CT scans were evaluated to generate liver perfusion and histogram parameters. The differential performances, including the area under the receiver operating characteristic curve (AUC), specificity, and sensitivity were assessed. The mean value, and all thepercentiles of the arterial enhancement fraction (AEF) were significantly higher in HCCs than in IMCCs. The difference in hepatic arterial blood supply perfusion (HAP) and AEF (ΔHAP = HAPtumor − HAPliver, ΔAEF = AEFtumor − AEFliver) for the mean perfusion parameters and all percentile parameters between tumor and peripheral normal liver were significantly higher in HCCs than in IMCCs. The relative AEF (rAEF = ΔAEF/AEFliver), including the mean value and all corresponding percentile parameters were statistically significant between HCCs and IMCCs. The 10th percentiles of the ΔAEF and rAEF had the highest AUC of 0.788 for differentiating IMCC from HCC, with sensitivities and specificities of 87.0%, 83.3%, and 61.8%, 64.7%, respectively. Among all parameters, the mean value of ∆AEF, the 75th percentiles of ∆AEF and rAEF, and the 25th percentile of HFtumor exhibited the highest sensitivities of 94.4%, while the 50th percentile of rAEF had the highest specificity of 82.4%. AEF (including ΔAEF and rAEF) and the corresponding histogram parameters derived from triphasic CT scans provided useful value and facilitated the accurate discrimination between IMCCs and HCCs.
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Affiliation(s)
- Fang Zhao
- Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Guodong Pang
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, No.247, Beiyuan Road, Tianqiao District, Jinan, 250033, Shandong, China
| | - Xuejing Li
- Jinan Blood Center, Jinan, 250001, Shandong, China
| | - Shuo Yang
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, No.247, Beiyuan Road, Tianqiao District, Jinan, 250033, Shandong, China
| | - Hai Zhong
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, No.247, Beiyuan Road, Tianqiao District, Jinan, 250033, Shandong, China.
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Magnetic Resonance Imaging of Nonhepatocellular Malignancies in Chronic Liver Disease. Magn Reson Imaging Clin N Am 2021; 29:404-418. [PMID: 34243926 DOI: 10.1016/j.mric.2021.05.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Hepatocellular carcinoma (HCC) is the most common liver malignancy associated with chronic liver disease. Nonhepatocellular malignancies may also arise in the setting of chronic liver disease. The imaging diagnosis of non-HCC malignancies may be challenging. Non-HCC malignancies in patients with chronic liver disease most commonly include intrahepatic cholangiocarcinoma and combined hepatocellular-cholangiocarcinoma, and less commonly hepatic lymphomas and metastases. On MR imaging, non-HCC malignancies often demonstrate a targetoid appearance, manifesting as rim arterial phase hyperenhancement, peripheral washout, central delayed enhancement, and peripheral restricted diffusion. When applying the Liver Imaging Reporting and Data System algorithm, observations with targetoid appearance are categorized as LR-M.
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Caraiani C, Boca B, Bura V, Sparchez Z, Dong Y, Dietrich C. CT/MRI LI-RADS v2018 vs. CEUS LI-RADS v2017-Can Things Be Put Together? BIOLOGY 2021; 10:biology10050412. [PMID: 34066607 PMCID: PMC8148521 DOI: 10.3390/biology10050412] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/17/2021] [Accepted: 04/30/2021] [Indexed: 12/27/2022]
Abstract
Simple Summary The LI-RADS system is nowadays the mainstream system used in classifying liver nodules in cirrhotic liver according to their risk of malignancy. Two main LI-RADS documents have been released—the CEUS LI-RADS v2017 document, and the CT/MRI LI-RADS v2018 document. In some circumstances, a nodule can be differently classified when using CEUS versus when using CT or MRI. In this paper, we also focus on the existing similitudes between the two documents but, essentially, on the differences between the two main documents and the complementarities between imaging techniques in characterizing liver nodules in cirrhotic livers. Awareness of the complementarity of imaging techniques may lead to an improvement in the characterization and classification of liver nodules and will reduce the number of liver biopsies. This paper proposes practical solutions in order to better classify and manage observations or nodules detected in cirrhotic livers. Abstract Different LI-RADS core documents were released for CEUS and for CT/MRI. Both documents rely on major and ancillary diagnostic criteria. The present paper offers an exhaustive comparison of the two documents focusing on the similarities, but especially on the differences, complementarity, and added value of imaging techniques in classifying liver nodules in cirrhotic livers. The major diagnostic criteria are defined, and the sensitivity and specificity of each major diagnostic criteria are presented according to the literature. The existing differences between techniques in assessing the major diagnostic features can be then exploited in order to ensure a better classification and a better clinical management of liver nodules in cirrhotic livers. Ancillary features depend on the imaging technique used, and their presence can upgrade or downgrade the LI-RADS score of an observation, but only as far as LI-RADS 4. MRI is the imaging technique that provides the greatest number of ancillary features, whereas CEUS has fewer ancillary features than other imaging techniques. In the final part of the manuscript, some recommendations are made by the authors in order to guidephysicians as to when adding another imaging technique can be helpful in managing liver nodules in cirrhotic livers.
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Affiliation(s)
- Cosmin Caraiani
- Department of Medical Imaging, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, 400012 Cluj-Napoca, Romania;
| | - Bianca Boca
- Department of Medical Imaging, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, 400012 Cluj-Napoca, Romania;
- Department of Radiology, County Clinical Emergency Hospital Cluj-Napoca, 400006 Cluj-Napoca, Romania;
- Department of Radiology, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania
- Correspondence: (B.B.); (Z.S.)
| | - Vlad Bura
- Department of Radiology, County Clinical Emergency Hospital Cluj-Napoca, 400006 Cluj-Napoca, Romania;
- Department of Radiology, Addenbrooke’s Hospital and University of Cambridge, Cambridge CB2 0QQ, UK
| | - Zeno Sparchez
- Department of Gastroenterology and Hepatology, Regional Institute of Gastroenterology and Hepatology “Prof. Dr. Octavian Fodor”, 400158 Cluj-Napoca, Romania
- 3rd Medical Department, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400162 Cluj-Napoca, Romania
- Correspondence: (B.B.); (Z.S.)
| | - Yi Dong
- Ultrasound Department, Zhongshan Hospital, Fudan University, Shanghai 200032, China;
| | - Christoph Dietrich
- Department Allgemeine Innere Medizin (DAIM), Kliniken Hirslanden Beau Site, Salem und Permancence, 3013 Bern, Switzerland;
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Huang C, Xu X, Wang M, Xiao X, Cheng C, Ji J, Fang M, Gao C. Serum N-glycan fingerprint helps to discriminate intrahepatic cholangiocarcinoma from hepatocellular carcinoma. Electrophoresis 2021; 42:1187-1195. [PMID: 33570803 DOI: 10.1002/elps.202000392] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/26/2021] [Accepted: 02/03/2021] [Indexed: 12/13/2022]
Abstract
Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are two main types of primary liver cancer, and reliable discrimination is important for optimal treatment. Aberrant glycosylation was detected in HCC and ICC. Both cross-sectional and follow-up studies were performed to establish a differential diagnosis model using N-glycans. A total of 420 participants were enrolled, with 310 patients in training cohort and 110 patients in validation cohort. The follow-up cohort was used to assess the prognosis of ICC. As the results, the diagnostic efficacy of the model was superior to alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA 19-9) when identifying ICC from HCC (AUC of the nomogram: 0.845, 95%CI: 0.788-0.902; AFP: 0.793, 95%CI: 0.732-0.854; CEA: 0.592, 95%CI: 0.496-0.687; CA 19-9: 0.674, 95%CI: 0.582-0.767) in training cohort. In validation cohort, this model (AUC: 0.810, 95% CI: 0.728-0.891) also demonstrated high efficacy in distinguishing ICC from HCC. Furthermore, the nomogram helps to stratify ICC into two subgroups with high or low risk of survival and recurrence. Therefore, a nomogram integrating six N-glycans [NGA2FB(Peak2), NG1A2F (Peak3), NA2 (Peak5), NA2F (Peak6), NA3 (Peak8) and NA4 (Peak11)] was established for ICC and HCC differentiation, and for prognosis assessment in ICC patients.
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Affiliation(s)
- Chenjun Huang
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, P. R. China
| | - Xuewen Xu
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, P. R. China
| | - Mengmeng Wang
- Department of Emergency Medicine, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, P. R. China
| | - Xiao Xiao
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, P. R. China
| | - Cheng Cheng
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, P. R. China
| | - Jun Ji
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, P. R. China
| | - Meng Fang
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, P. R. China
| | - Chunfang Gao
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, P. R. China
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19
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Italian Clinical Practice Guidelines on Cholangiocarcinoma - Part I: Classification, diagnosis and staging. Dig Liver Dis 2020; 52:1282-1293. [PMID: 32893173 DOI: 10.1016/j.dld.2020.06.045] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 06/29/2020] [Accepted: 06/30/2020] [Indexed: 12/11/2022]
Abstract
Cholangiocarcinoma (CCA) is the second most common primary liver cancer, characterized by a poor prognosis and resistance to chemotherapeutics. The progressive increase in CCA incidence and mortality registered worldwide in the last two decades and the need to clarify various aspects of clinical management have prompted the Italian Association for the Study of the Liver (AISF) to commission the drafting of dedicated guidelines in collaboration with a group of Italian scientific societies. These guidelines have been formulated in accordance with the Italian National Institute of Health indications and developed by following the GRADE method and related advancements.
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20
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Cheng N, Khoo N, Chung AYF, Goh BKP, Cheow PC, Chow PKH, Lee SY, Ooi LL, Jeyaraj PR, Kam JH, Koh YX, Chan CY, Teo JY. Pre-operative Imaging Characteristics in Histology-Proven Resected Intrahepatic Cholangiocarcinoma. World J Surg 2020; 44:3862-3867. [PMID: 32720003 DOI: 10.1007/s00268-020-05698-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/08/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are the most common primary liver cancers. With the increasing incidence of ICC over the past two decades in Asia, it is essential to differentiate between HCC and ICC. However, ICC may mimic the radiological appearance of HCC on computed tomography scans (CT) and magnetic resonance imaging (MRI), leading to misdiagnosis of ICC. The objective of this study is to evaluate and describe the association of specific pre-operative imaging characteristics (arterial enhancement, portal venous washout) in patients with histologically proven resected ICC in our centre. METHODS Data on patients with histology-proven ICC and mixed hepatocellular-cholangiocarcinomas (HCC-CC) who had undergone surgical resection at Singapore General Hospital (SGH) were identified from a prospectively maintained database. Pre-operative cross-sectional imaging reports were analysed. RESULTS Ninety-one patients underwent resection between 1 January 2000 and 31 December 2016. Among those with no risk factors for HCC, a significant percentage of patients with ICC (24.3%) show imaging characteristics of both arterial phase hyperenhancement and non-peripheral venous washout. Among patients with risk factors for HCC, between 20.0 and 33.3% of patients with pure ICC fulfilled the imaging criteria for HCC, and this proportion was generally even higher in the mixed HCC-CC group. CONCLUSIONS A significant proportion of patients with pure ICC showed pre-operative imaging characteristics which fulfilled the diagnostic criteria for HCC. The differential of ICC should be borne in mind in populations where both malignancies are endemic.
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Affiliation(s)
- Nicole Cheng
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nathanelle Khoo
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore
| | - Alexander Y F Chung
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Brian K P Goh
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Peng Chung Cheow
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Pierce K H Chow
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Ser Yee Lee
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - London L Ooi
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Prema Raj Jeyaraj
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Juinn Huar Kam
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Ye Xin Koh
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore
| | - Chung Yip Chan
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Jin Yao Teo
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore. .,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
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21
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Kim JH, Yoon JH, Joo I, Lee JM. Evaluation of Primary Liver Cancers Using Hepatocyte-Specific Contrast-Enhanced MRI: Pitfalls and Potential Tips. J Magn Reson Imaging 2020; 53:655-675. [PMID: 32700807 DOI: 10.1002/jmri.27213] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 04/24/2020] [Accepted: 04/24/2020] [Indexed: 12/11/2022] Open
Abstract
When radiologists interpret hepatic focal lesions seen on dynamic magnetic resonance imaging (MRI) scans, it is important not only to distinguish malignant lesions from benign ones but also to distinguish nonhepatocellular carcinoma (HCC) malignancies from HCCs. In addition, most major guidelines, including those of the American Association for the Study of Liver Disease, European Association for the Study of the Liver, and Korean Liver Cancer Association and National Cancer Center, allow for the noninvasive imaging diagnosis of HCC in at-risk patients. However, ~40% of HCC cases show atypical imaging features mimicking non-HCC malignancies. Furthermore, several benign and malignant lesions, such as flash-filling hemangioma and intrahepatic mass-forming cholangiocarcinoma, frequently look like HCC. In contrast, although multiparametric MRI options, including hepatobiliary phase and diffusion-weighted imaging, provide useful information that could help address these challenges, there remain several unresolved issues with regard to the noninvasive diagnostic criteria characterizing HCC. In this article, we discuss the typical imaging features and challenging situations related to primary liver cancers in MRI, while considering how to make a correct diagnosis. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Jae Hyun Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
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22
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Characterization of Indeterminate Liver Lesions on CT and MRI With Contrast-Enhanced Ultrasound: What Is the Evidence? AJR Am J Roentgenol 2020; 214:1295-1304. [DOI: 10.2214/ajr.19.21498] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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23
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Peng J, Zheng J, Yang C, Wang R, Zhou Y, Tao YY, Gong XQ, Wang WC, Zhang XM, Yang L. Intravoxel incoherent motion diffusion-weighted imaging to differentiate hepatocellular carcinoma from intrahepatic cholangiocarcinoma. Sci Rep 2020. [DOI: doi.org/10.1038/s41598-020-64804-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
AbstractThe present study aimed to explore the value of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) in differentiating hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma (ICC). This study included 65 patients with malignant hepatic nodules (55 with HCC, 10 with ICC), and 17 control patients with normal livers. All patients underwent IVIM-DWI scans on a 3.0 T magnetic resonance imaging (MRI) scanner. The standard apparent diffusion coefficient (ADC), pure diffusion coefficient (Dslow), pseudo-diffusion coefficient (Dfast), and perfusion fraction (f) were obtained. Differences in the parameters among the groups were analysed using one-way ANOVA, with p < 0.05 indicating statistical significance. Receiver operating characteristic (ROC) curve analysis was used to compare the efficacy of each parameter in differentiating HCC from ICC. ADC, Dslow, Dfast, f significantly differed among the three groups. ADC and Dslow were significantly lower in the HCC group than in the ICC group, while Dfast was significantly higher in the HCC group than in the ICC group; f did not significantly differ between the HCC and ICC groups. When the cut-off values of ADC, Dslow, and Dfast were 1.27 × 10−3 mm2/s, 0.81 × 10−3 mm2/s, and 26.04 × 10−3 mm2/s, respectively, their diagnostic sensitivities for differentiating HCC from ICC were 98.18%, 58.18%, and 94.55%, their diagnostic specificities were 50.00%, 80.00%, and 80.00%, and their areas under the ROC curve (AUCs) were 0.687, 0.721, and 0.896, respectively. Dfast displayed the largest AUC value. IVIM-DWI can be used to differentiate HCC from ICC.
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24
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Intravoxel incoherent motion diffusion-weighted imaging to differentiate hepatocellular carcinoma from intrahepatic cholangiocarcinoma. Sci Rep 2020; 10:7717. [PMID: 32382050 PMCID: PMC7206040 DOI: 10.1038/s41598-020-64804-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 04/20/2020] [Indexed: 02/08/2023] Open
Abstract
The present study aimed to explore the value of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) in differentiating hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma (ICC). This study included 65 patients with malignant hepatic nodules (55 with HCC, 10 with ICC), and 17 control patients with normal livers. All patients underwent IVIM-DWI scans on a 3.0 T magnetic resonance imaging (MRI) scanner. The standard apparent diffusion coefficient (ADC), pure diffusion coefficient (Dslow), pseudo-diffusion coefficient (Dfast), and perfusion fraction (f) were obtained. Differences in the parameters among the groups were analysed using one-way ANOVA, with p < 0.05 indicating statistical significance. Receiver operating characteristic (ROC) curve analysis was used to compare the efficacy of each parameter in differentiating HCC from ICC. ADC, Dslow, Dfast, f significantly differed among the three groups. ADC and Dslow were significantly lower in the HCC group than in the ICC group, while Dfast was significantly higher in the HCC group than in the ICC group; f did not significantly differ between the HCC and ICC groups. When the cut-off values of ADC, Dslow, and Dfast were 1.27 × 10−3 mm2/s, 0.81 × 10−3 mm2/s, and 26.04 × 10−3 mm2/s, respectively, their diagnostic sensitivities for differentiating HCC from ICC were 98.18%, 58.18%, and 94.55%, their diagnostic specificities were 50.00%, 80.00%, and 80.00%, and their areas under the ROC curve (AUCs) were 0.687, 0.721, and 0.896, respectively. Dfast displayed the largest AUC value. IVIM-DWI can be used to differentiate HCC from ICC.
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25
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Intrahepatic cholangiocellular carcinoma with radiological enhancement patterns mimicking hepatocellular carcinoma. Updates Surg 2020; 72:413-421. [PMID: 32323164 DOI: 10.1007/s13304-020-00750-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 03/18/2020] [Indexed: 02/07/2023]
Abstract
Non-invasive diagnosis of hepatocellular carcinoma (HCC) in cirrhotic patients requires demonstration of wash-in and wash-out on contrast-enhanced imaging. Recent studies have reported misclassification of mass-forming intrahepatic cholangiocarcinoma (MFCCC) as HCC. We aimed to analyze the contrast enhancement patterns of MFCCC, focusing especially on lesions mimicking HCC. We retrospectively evaluated all consecutive patients with MFCCC who underwent surgery between 2007 and 2017. Patients with mixed HCC-MFCCC were excluded. Two expert radiologists reviewed preoperative CT and MRI. Full-nodule hyperenhancement in the arterial phase in conjunction with hypoenhancement in the portal/late phase was classified as an "HCC-like pattern". Imaging of MFCCCs with an HCC-like pattern was reviewed by an additional radiologist blinded to clinical data. Ninety-two patients were analyzed. All patients were investigated with multiphase CT and 85 with MRI. Twelve tumors (13%) showed full-nodule arterial hyperenhancement. Of these, four were hypoenhancing in the portal/late phase. Overall, 4/92 (4%) MFCCCs (4/45 in patients with cirrhosis/hepatitis, 9%) showed an HCC-like pattern accounting for misclassification as HCC on imaging review. HCC-like MFCCCs accounted for 9% of single tumors ≤ 50 mm. All HCC-like MFCCCs occurred in patients with cirrhosis or hepatitis, whereas only 47% of non-HCC-like MFCCCs did so (p = 0.053). After a median follow-up of 29 months, all patients with HCC-like MFCCCs are alive and disease free (median 64 months). In conclusion, MFCCC was misdiagnosed as typical HCC in 4% of all cases and in 9% of patients with single tumors ≤ 50 mm or with cirrhosis/hepatitis. The risk of misdiagnosis should be considered prior to treatment planning.
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Di Tommaso L, Spadaccini M, Donadon M, Personeni N, Elamin A, Aghemo A, Lleo A. Role of liver biopsy in hepatocellular carcinoma. World J Gastroenterol 2019; 25:6041-6052. [PMID: 31686761 PMCID: PMC6824282 DOI: 10.3748/wjg.v25.i40.6041] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 10/04/2019] [Accepted: 10/17/2019] [Indexed: 02/06/2023] Open
Abstract
The role of liver biopsy in the diagnosis of hepatocellular carcinoma (HCC) has been challenged over time by the ability of imaging techniques to characterize liver lesions in patients with known cirrhosis. In fact, in the diagnostic algorithm for this tumor, histology is currently relegated to controversial cases. Furthermore, the risk of complications, such as tumor seeding and bleeding, as well as inadequate sampling have further limited the use of liver biopsy for HCC management. However, there is growing evidence of prognostic and therapeutic information available from microscopic and molecular analysis of HCC and, as the information content of the tissue sample increases, the advantages of liver biopsy might modify the current risk/benefit ratio. We herein review the role and potentiality of liver biopsy in the diagnosis and management of HCC. As the potentiality of precision medicine comes to the management of HCC, it will be crucial to have rapid pathways to define prognosis, and even treatment, by identifying the patients who could most benefit from target-driven therapies. All of the above reasons suggest that the current role of liver biopsy in the management of HCC needs substantial reconsideration.
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Affiliation(s)
- Luca Di Tommaso
- Pathology Unit, Humanitas Clinical and Research Center IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele 20090, Italy
| | - Marco Spadaccini
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele 20090, Italy
| | - Matteo Donadon
- Division of Hepatobiliary and General Surgery, Department of General Surgery, Humanitas Clinical and Research Center IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele 20090, Italy
| | - Nicola Personeni
- Division of Medical Oncology and Hematology, Humanitas Cancer Center, Humanitas Clinical and Research Center IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele 20090, Italy
| | - Abubaker Elamin
- Pathology Unit, Humanitas Clinical and Research Center IRCCS, Rozzano 20089, Italy
| | - Alessio Aghemo
- Division of Internal Medicine and Hepatology, Department of Gastroenterology, Humanitas Clinical and Research Center IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele 20090, Italy
| | - Ana Lleo
- Division of Internal Medicine and Hepatology, Department of Gastroenterology, Humanitas Clinical and Research Center IRCCS, Rozzano 20089, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele 20090, Italy
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27
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Hamaoka M, Kozaka K, Matsui O, Komori T, Matsubara T, Yoneda N, Yoshida K, Inoue D, Kitao A, Koda W, Gabata T, Kobayashi S. Early detection of intrahepatic cholangiocarcinoma. Jpn J Radiol 2019; 37:669-684. [PMID: 31372893 DOI: 10.1007/s11604-019-00860-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 07/25/2019] [Indexed: 02/07/2023]
Abstract
Cholangiocarcinoma (CC) is a malignant tumor which arises from the biliary epithelium and most cases represent adenocarcinoma. CC can be classified into intrahepatic CC (ICC), perihilar CC, and distal CC, based on the site of anatomic origin. The incidence of ICC is increasing in both Western and Eastern countries, while that of extrahepatic cholangiocarcinoma remains fairly stable. ICC infiltrates into adjacent nerves and lymphatic vessels, resulting in progressive disease with a poor prognosis; thus, early detection of ICC is critical for achieving better outcomes and providing better patient care. However, it is difficult for clinicians to detect an ICC, especially in its early stage. Different from hepatocellular carcinoma, the lack of surveillance system for the high-risk group of CC does not allow for a reliable screening examination. In this context, for early detection and diagnosis of ICC, radiologists need to know predisposing conditions that can lead to the development of ICC, such as chronic biliary or hepatic inflammation, primary sclerosing cholangitis, congenital biliary diseases, and other conditions. In this article, we discuss and illustrate the radiologic features of ICC with special attention to early disease stages and of predisposing conditions of ICC.
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Affiliation(s)
- Mami Hamaoka
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Kazuto Kozaka
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan.
| | - Osamu Matsui
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Takahiro Komori
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Takashi Matsubara
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Norihide Yoneda
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Kotaro Yoshida
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Dai Inoue
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Azusa Kitao
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Wataru Koda
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Toshifumi Gabata
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Satoshi Kobayashi
- Department of Radiological Technology, School of Health Sciences, College of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
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You MW, Yun S. Differentiating between hepatocellular carcinoma and intrahepatic cholangiocarcinoma using contrast-enhanced MRI features: a systematic review and meta-analysis. Clin Radiol 2019; 74:406.e9-406.e18. [DOI: 10.1016/j.crad.2018.12.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 12/27/2018] [Indexed: 12/14/2022]
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29
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Yang HK, Burns PN, Jang HJ, Kono Y, Khalili K, Wilson SR, Kim TK. Contrast-enhanced ultrasound approach to the diagnosis of focal liver lesions: the importance of washout. Ultrasonography 2019; 38:289-301. [PMID: 31311068 PMCID: PMC6769186 DOI: 10.14366/usg.19006] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 03/17/2019] [Indexed: 12/12/2022] Open
Abstract
Contrast-enhanced ultrasound (CEUS) is a powerful technique for differentiating focal liver lesions (FLLs) without the risks of potential nephrotoxicity or ionizing radiation. In the diagnostic algorithm for FLLs on CEUS, washout is an important feature, as its presence is highly suggestive of malignancy and its characteristics are useful in distinguishing hepatocellular from nonhepatocellular malignancies. Interpreting washout on CEUS requires an understanding that microbubble contrast agents are strictly intravascular, unlike computed tomography or magnetic resonance imaging contrast agents. This review explains the definition and types of washout on CEUS in accordance with the 2017 version of the CEUS Liver Imaging Reporting and Data System and presents their applications to differential diagnosis with illustrative examples. Additionally, we propose potential mechanisms of rapid washout and describe the washout phenomenon in benign entities.
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Affiliation(s)
- Hyun Kyung Yang
- Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Peter N Burns
- Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Hyun-Jung Jang
- Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Yuko Kono
- Departments of Medicine and Radiology, University of California, San Diego, CA, USA
| | - Korosh Khalili
- Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Stephanie R Wilson
- Diagnostic Imaging, Department of Radiology, University of Calgary, Calgary, Canada
| | - Tae Kyoung Kim
- Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
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Seo N, Kim MJ, Rhee H. Hepatic sarcomatoid carcinoma: magnetic resonance imaging evaluation by using the liver imaging reporting and data system. Eur Radiol 2019; 29:3761-3771. [PMID: 30859282 DOI: 10.1007/s00330-019-06052-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 12/21/2018] [Accepted: 01/30/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To evaluate how sarcomatoid carcinomas (SCs) would be classified on magnetic resonance imaging (MRI) by using the Liver Imaging Reporting and Data System (LI-RADS) and to assess imaging features of SC compared with other hepatic malignancies. METHODS We retrieved 184 patients with pathologically confirmed SC (n = 46), hepatocellular carcinoma (HCC, n = 92), and intrahepatic cholangiocarcinoma (iCCA, n = 46) diagnosed between January 2006 and December 2017. Two readers independently reviewed MRI according to LI-RADS v2017. Classification rate of SC, as probably or definitely malignant but not specific for HCC (LR-M), was calculated. LR-TIV (tumor in vein) was subclassified as either 5V or MV. MRI features were compared between SC, HCC, and iCCA and between SC of LR-M and non-LR-M categories. RESULTS Chronic liver disease was present in 71.7% (33/46) of patients with SC, and LI-RADS was applied for these patients. SC was classified as LR-M in 24 (72.7%) of 33 patients at risk. SCs that had been classified as LR-4/5/5V were significantly smaller (median, 1.9 cm; range, 1.0-4.2 cm) than SCs classified as LR-M/MV (median, 4.3 cm; range, 1.3-20.6 cm) on independent t test (p = 0.012). SCs commonly showed MRI features similar to iCCAs than to HCCs. Targetoid appearance and capsular retraction were more frequent in iCCA than in SC (p ≤ 0.009) on Pearson's chi-squared test or Fisher's exact test. CONCLUSION Most SCs can be classified as LR-M on MRI, but small lesions may be indistinguishable from HCCs. KEY POINTS • Most sarcomatoid carcinomas (SCs) are classified as LR-M on MRI by using LI-RADS v2017. • SC showed various LR-M features similar to those of intrahepatic cholangiocarcinoma. • Size of LR-4/5/5V SC was significantly smaller than that of LR-M/MV SC.
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Affiliation(s)
- Nieun Seo
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Myeong-Jin Kim
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
| | - Hyungjin Rhee
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
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31
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Chen X, Kutaiba N, Ngo B, Goodwin M. Outcome and safety of targeted liver biopsies for indeterminate lesions in patients with chronic liver disease: A single centre experience. J Med Imaging Radiat Oncol 2019; 63:190-196. [PMID: 30652433 DOI: 10.1111/1754-9485.12856] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 12/17/2018] [Indexed: 12/21/2022]
Abstract
INTRODUCTION To evaluate the histopathological and safety outcomes of indeterminate lesions in patients at high risk for developing hepatocellular carcinoma (HCC) who underwent ultrasound-guided biopsies. METHODS Ultrasound-guided targeted liver biopsies for indeterminate lesions performed in a 10-year period at our institution were reviewed retrospectively for lesion characteristics, biopsy techniques, histopathological results and post procedural complications. RESULTS A total of 172 biopsies were performed in 152 patients. Most common background liver disease included hepatitis C, hepatitis B, alcoholic and non-alcoholic steatohepatitis. 65.1% had known cirrhosis at time of biopsy. HCC was the most common histopathological finding accounting for 55.8% of all biopsies, followed by cholangiocarcinoma, dysplastic nodule and metastasis. Rarer lesions including lymphoma, neuroendocrine tumour and angiomyolipoma were also encountered. No mortality, clinically significant bleeding or tumour seeding was detected. CONCLUSIONS Ultrasound-guided liver biopsies of indeterminate lesions in patients at high risk of HCC yield important histopathological findings, important for management options including the provision of curative treatments and assisting future novel therapies such as immunotherapy and targeted therapies. The low complication rates confirm its safety and the procedure should not be avoided for fear of complications.
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Affiliation(s)
- Xiao Chen
- Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia
| | - Numan Kutaiba
- Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia
| | - Brian Ngo
- Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia
| | - Mark Goodwin
- Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia.,Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
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Shi D, Ma L, Zhao D, Chang J, Shao C, Qi S, Chen F, Li Y, Wang X, Zhang Y, Zhao J, Li H. Imaging and clinical features of primary hepatic sarcomatous carcinoma. Cancer Imaging 2018; 18:36. [PMID: 30314525 PMCID: PMC6186076 DOI: 10.1186/s40644-018-0171-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 10/02/2018] [Indexed: 12/13/2022] Open
Abstract
Background Primary hepatic sarcomatous carcinoma (PHSC) is a rare malignancy composed of both carcinomatous (either hepatocellular or cholangiocellular) and sarcomatous components. The purpose of our study was to evaluate the imaging and clinical findings of PHSCs, improving the understanding and diagnosis of tumors. Methods We retrospectively reviewed the imaging and clinical findings of ten patients with pathologically proven PHSCs, including two cases of sarcomatous intrahepatic cholangiocarcinoma (S-ICC), seven cases of sarcomatous hepatocellular carcinoma (S-HCC) and one case of sarcomatous combined hepatocellular and cholangiocarcinoma (S-HCC–CC). Six patients underwent computed tomography (CT) scans and five underwent magnetic resonance imaging (MRI) scans with one of them having both CT and MRI scans. Results Eight of ten patients had a background of chronic hepatitis or cirrhosis. The elevation of alpha-fetoprotein (AFP) was positive in half of the patients. All the tumors were located near the liver subcapsular area and six of ten cases were massive with round or oval shapes and ill-defined. The lesion textures were mainly heterogeneous in eight tumors for the necrosis or hemorrhage. Eight tumors showed hypo-enhancement and nine tumors exhibited initial peripheral rim (five cases) or heterogeneous (four cases) enhancement, followed by progressive (six cases) and peripheral or partial washout (three cases) on the later phases. Of the seven surgically resected tumors, five showed liver capsular invasion with one of them rupturing into the perihepatic space. Vascular thrombosis (five cases), intrahepatic metastasis (four cases), adjacent organ invasion or seeding (three cases), and lymph node metastasis (four cases) were found on imaging or in pathology. The follow-up period ranged from one to 36 months. Four patients with T3-T4 staging died from recurrence and metastasis between 2 and 5 months, and three patients with T1 staging did not have any recurrence between 16 and 24 months. Conclusion PHSC generally presents as a subcapsular mass with hypovascularity and may be characterized by rim-like or heterogeneous enhancement on the arterial phase and a progressive dynamic pattern. These tumors usually coincide with chronic hepatitis or cirrhosis and poor prognosis appears to be associated with TNM staging.
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Affiliation(s)
- Dongli Shi
- Department of Diagnostic Radiology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Liang Ma
- Center of Interventional Oncology and Liver Diseases, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Dawei Zhao
- Department of Diagnostic Radiology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Jing Chang
- Department of pathology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Chen Shao
- Department of pathology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Shi Qi
- Department of Diagnostic Radiology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Feng Chen
- Department of Diagnostic Radiology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Yunfang Li
- Department of Diagnostic Radiology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Xing Wang
- Department of Diagnostic Radiology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Yanyan Zhang
- Department of Diagnostic Radiology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Jing Zhao
- Department of Diagnostic Radiology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Hongjun Li
- Department of Diagnostic Radiology, Beijing You'an Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China.
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Chen LD, Ruan SM, Liang JY, Yang Z, Shen SL, Huang Y, Li W, Wang Z, Xie XY, Lu MD, Kuang M, Wang W. Differentiation of intrahepatic cholangiocarcinoma from hepatocellular carcinoma in high-risk patients: A predictive model using contrast-enhanced ultrasound. World J Gastroenterol 2018; 24:3786-3798. [PMID: 30197484 PMCID: PMC6127655 DOI: 10.3748/wjg.v24.i33.3786] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 06/30/2018] [Accepted: 07/16/2018] [Indexed: 02/06/2023] Open
Abstract
AIM To develop a contrast-enhanced ultrasound (CEUS) predictive model for distinguishing intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC) in high-risk patients.
METHODS This retrospective study consisted of 88 consecutive high-risk patients with ICC and 88 high-risk patients with HCC selected by propensity score matching between May 2004 and July 2016. Patients were assigned to two groups, namely, a training set and validation set, at a 1:1 ratio. A CEUS score for diagnosing ICC was generated based on significant CEUS features. Then, a nomogram based on the CEUS score was developed, integrating the clinical data. The performance of the nomogram was then validated and compared with that of the LR-M of the CEUS Liver Imaging Reporting and Data System (LI-RADS).
RESULTS The most useful CEUS features for ICC were as follows: rim enhancement (64.5%), early washout (91.9%), intratumoral vein (58.1%), obscure boundary of intratumoral non-enhanced area (64.5%), and marked washout (61.3%, all P < 0.05). In the validation set, the area under the curve (AUC) of the CEUS score (AUC = 0.953) for differentiation between ICC and HCC was improved compared to the LI-RADS (AUC = 0.742) (P < 0.001). When clinical data were added, the CEUS score nomogram was superior to the LI-RADS nomogram (AUC: 0.973 vs 0.916, P = 0.036, Net Reclassification Improvement: 0.077, Integrated Discrimination Index: 0.152). Subgroup analysis demonstrated that the CEUS score model was notably improved compared to the LI-RADS in tumors smaller than 5.0 cm (P < 0.05) but not improved in tumors smaller than 3.0 cm (P > 0.05).
CONCLUSION The CEUS predictive model for differentiation between ICC and HCC in high-risk patients had improved discrimination and clinical usefulness compared to the CEUS LI-RADS.
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Affiliation(s)
- Li-Da Chen
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Si-Min Ruan
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Jin-Yu Liang
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Zheng Yang
- Department of Pathology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Shun-Li Shen
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Yang Huang
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Wei Li
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Zhu Wang
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Xiao-Yan Xie
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Ming-De Lu
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Ming Kuang
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Wei Wang
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
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Renzulli M, Biselli M, Brocchi S, Granito A, Vasuri F, Tovoli F, Sessagesimi E, Piscaglia F, D'Errico A, Bolondi L, Golfieri R. New hallmark of hepatocellular carcinoma, early hepatocellular carcinoma and high-grade dysplastic nodules on Gd-EOB-DTPA MRI in patients with cirrhosis: a new diagnostic algorithm. Gut 2018; 67:1674-1682. [PMID: 29437912 DOI: 10.1136/gutjnl-2017-315384] [Citation(s) in RCA: 110] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 01/02/2018] [Accepted: 01/08/2018] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Many improvements have been made in diagnosing hepatocellular carcinoma (HCC), but the radiological hallmarks of HCC have remained the same for many years. We prospectively evaluated the imaging criteria of HCC, early HCC and high-grade dysplastic nodules (HGDNs) in patients under surveillance for chronic liver disease, using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) MRI and diffusion-weighted imaging. DESIGN Our study population included 420 nodules >1 cm in 228 patients. The MRI findings of each nodule were collected in all sequences/phases. The diagnosis of HCC was made according to the American Association for the Study of Liver Diseases (AASLD) criteria; all atypical nodules were diagnosed using histology. RESULTS A classification and regression tree was developed using three MRI findings which were independently significant correlated variables for early HCC/HCC, and the best sequence of their application in a new diagnostic algorithm (hepatobiliary hypointensity, arterial hyperintensity and diffusion restriction) was suggested. This algorithm demonstrated, both in the entire study population and for nodules ≤2 cm, higher sensitivity (96% [95% CI 93.5% to 97.6%] and 96.6% [95% CI 93.9% to 98.5%], P<0.001, respectively) and slightly lower specificity (91.8% [95% CI 88.6% to 94.1%], P=0.063, and 92.7% [95% CI 88.9% to 95.4%], P=0.125, respectively) than those of the AASLD criteria. Our new diagnostic algorithm also showed a very high sensitivity (94.7%; 95% CI 92% to 96.6%) and specificity (99.3%; 95% CI 97.7% to 99.8%) in classifying HGDN. CONCLUSION Our new diagnostic algorithm demonstrated significantly higher sensitivity and comparable specificity than those of the AASLD imaging criteria for HCC in patients with cirrhosis evaluated using Gd-EOB-DTPA MRI, even for lesions ≤2 cm. Moreover, this diagnostic algorithm allowed evaluating other lesions which could arise in a cirrhotic liver, such as early HCC and HGDN.
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Affiliation(s)
- Matteo Renzulli
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Maurizio Biselli
- Department of Medical and Surgical Sciences, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Stefano Brocchi
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Alessandro Granito
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Francesco Vasuri
- 'F Addarii' Institute of Oncology and Transplantation Pathology, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Francesco Tovoli
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Elisa Sessagesimi
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Fabio Piscaglia
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Antonietta D'Errico
- 'F Addarii' Institute of Oncology and Transplantation Pathology, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Luigi Bolondi
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Rita Golfieri
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
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Joo I, Lee JM, Yoon JH. Imaging Diagnosis of Intrahepatic and Perihilar Cholangiocarcinoma: Recent Advances and Challenges. Radiology 2018; 288:7-13. [DOI: 10.1148/radiol.2018171187] [Citation(s) in RCA: 93] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Ijin Joo
- From the Department of Radiology (I.J., J.M.L., J.H.Y.) and Institute of Radiation Medicine (J.M.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea; and Department of Radiology, Seoul National University College of Medicine, Seoul, Korea (I.J., J.M.L., J.H.Y.)
| | - Jeong Min Lee
- From the Department of Radiology (I.J., J.M.L., J.H.Y.) and Institute of Radiation Medicine (J.M.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea; and Department of Radiology, Seoul National University College of Medicine, Seoul, Korea (I.J., J.M.L., J.H.Y.)
| | - Jeong Hee Yoon
- From the Department of Radiology (I.J., J.M.L., J.H.Y.) and Institute of Radiation Medicine (J.M.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea; and Department of Radiology, Seoul National University College of Medicine, Seoul, Korea (I.J., J.M.L., J.H.Y.)
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Ni T, Shang XS, Wang WT, Hu XX, Zeng MS, Rao SX. Different MR features for differentiation of intrahepatic mass-forming cholangiocarcinoma from hepatocellular carcinoma according to tumor size. Br J Radiol 2018; 91:20180017. [PMID: 29791202 DOI: 10.1259/bjr.20180017] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To identify reliable magnetic resonance (MR) features for distinguishing mass-forming type of intrahepatic cholangiocarcinoma (IMCC) from hepatocellular carcinoma (HCC) based on tumor size. METHODS This retrospective study included 395 patients with pathologically confirmed IMCCs (n = 180) and HCCs (n = 215) who underwent pre-operative contrast-enhanced MRI including diffusion-weighted imaging (DWI). MR features were evaluated and clinical data were also recorded. All the characteristics were compared in small (≤3 cm) and large tumor (>3 cm) groups by univariate analysis and subsequently calculated by multivariable logistic regression analysis. RESULTS Multivariable analysis revealed that rim arterial phase hyperenhancement [odds ratios (ORs) = 13.16], biliary dilation (OR = 23.42) and CA19-9 (OR = 21.45) were significant predictors of large IMCCs (n = 138), and washout appearance (OR = 0.036), enhancing capsule appearance (OR = 0.039), fat in mass (OR = 0.057), chronic liver disease (OR = 0.088) and alpha fetoprotein (OR = 0.019) were more frequently found in large HCCs (n = 143). For small IMCCs (n = 42) and HCCs (n = 72), rim arterial phase hyperenhancement (OR = 9.68), target appearance at DWI (OR = 12.51), alpha fetoprotein (OR = 0.12) and sex (OR = 0.20) were independent predictors in multivariate analysis. CONCLUSION Valuable MR features and clinical factors varied for differential diagnosis of IMCCs and HCCs according to tumor size. Advances in knowledge: MR features for differential diagnosis of large IMCC and HCC (>3 cm) are in keeping with that recommended by LI-RADS. However, for small IMCCs and HCCs (≤3 cm), only rim enhancement on arterial phase and target appearance at DWI are reliable predictors.
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Affiliation(s)
- Ting Ni
- 1 Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute , Shanghai , China
| | - Xiao-Sha Shang
- 1 Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute , Shanghai , China
| | - Wen-Tao Wang
- 1 Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute , Shanghai , China
| | - Xin-Xing Hu
- 1 Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute , Shanghai , China
| | - Meng-Su Zeng
- 1 Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute , Shanghai , China
| | - Sheng-Xiang Rao
- 1 Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute , Shanghai , China
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Added value of ancillary imaging features for differentiating scirrhous hepatocellular carcinoma from intrahepatic cholangiocarcinoma on gadoxetic acid-enhanced MR imaging. Eur Radiol 2018; 28:2549-2560. [DOI: 10.1007/s00330-017-5196-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 11/14/2017] [Accepted: 11/16/2017] [Indexed: 12/18/2022]
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Tang A, Bashir MR, Corwin MT, Cruite I, Dietrich CF, Do RKG, Ehman EC, Fowler KJ, Hussain HK, Jha RC, Karam AR, Mamidipalli A, Marks RM, Mitchell DG, Morgan TA, Ohliger MA, Shah A, Vu KN, Sirlin CB. Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. Radiology 2017; 286:29-48. [PMID: 29166245 DOI: 10.1148/radiol.2017170554] [Citation(s) in RCA: 209] [Impact Index Per Article: 29.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). It assigns category codes reflecting relative probability of HCC to imaging-detected liver observations based on major and ancillary imaging features. LI-RADS also includes imaging features suggesting malignancy other than HCC. Supported and endorsed by the American College of Radiology (ACR), the system has been developed by a committee of radiologists, hepatologists, pathologists, surgeons, lexicon experts, and ACR staff, with input from the American Association for the Study of Liver Diseases and the Organ Procurement Transplantation Network/United Network for Organ Sharing. Development of LI-RADS has been based on literature review, expert opinion, rounds of testing and iteration, and feedback from users. This article summarizes and assesses the quality of evidence supporting each LI-RADS major feature for diagnosis of HCC, as well as of the LI-RADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- An Tang
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Mustafa R Bashir
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Michael T Corwin
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Irene Cruite
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Christoph F Dietrich
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Richard K G Do
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Eric C Ehman
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Kathryn J Fowler
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Hero K Hussain
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Reena C Jha
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Adib R Karam
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Adrija Mamidipalli
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Robert M Marks
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Donald G Mitchell
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Tara A Morgan
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Michael A Ohliger
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Amol Shah
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Kim-Nhien Vu
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Claude B Sirlin
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
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- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
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Bragazzi MC, Ridola L, Safarikia S, Matteo SD, Costantini D, Nevi L, Cardinale V. New insights into cholangiocarcinoma: multiple stems and related cell lineages of origin. Ann Gastroenterol 2017; 31:42-55. [PMID: 29333066 PMCID: PMC5759612 DOI: 10.20524/aog.2017.0209] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 09/14/2017] [Indexed: 12/12/2022] Open
Abstract
Cholangiocarcinoma (CCA) is a heterogeneous group of malignancies that may develop at any level of the biliary tree. CCA is currently classified into intrahepatic (iCCA), perihilar (pCCA) and distal (dCCA) on the basis of its anatomical location. Notably, although these three CCA subtypes have common features, they also have important inter- and intra-tumor differences that can affect their pathogenesis and outcome. A unique feature of CCA is that it manifests in the hepatic parenchyma or large intrahepatic and extrahepatic bile ducts, furnished by two distinct stem cell niches: the canals of Hering and the peribiliary glands, respectively. The complexity of CCA pathogenesis highlights the need for a multidisciplinary, translational, and systemic approach to this malignancy. This review focuses on advances in the knowledge of CCA histomorphology, risk factors, molecular pathogenesis, and subsets of CCA.
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Affiliation(s)
- Maria Consiglia Bragazzi
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Lorenzo Ridola
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Samira Safarikia
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Sabina Di Matteo
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Daniele Costantini
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Lorenzo Nevi
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Vincenzo Cardinale
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
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40
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Liang W, Wan D, Lu Q, Lin S, Chen Z. Dynamic enhancement patterns of small-diameter mass-forming intrahepatic cholangiocarcinomas on contrast-enhanced magnetic resonance imaging: Challenges faced by the radiologist. Medicine (Baltimore) 2017; 96:e8351. [PMID: 29069015 PMCID: PMC5671848 DOI: 10.1097/md.0000000000008351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Contrast-enhanced magnetic resonance imaging (MRI) characteristics of small-diameter mass-forming intrahepatic cholangiocarcinomas (ICCs) (diameter ≤3 cm) are still unclear.This study focused on imaging findings of small mass-forming ICCs. The MRI findings for small-diameter mass-forming ICCs were summarized, and the enhancement features of small ICC nodules with different diameters [2 groups were defined: a smaller nodule group (ICC diameter <2 cm) and a larger nodule group (ICC diameter >2 cm)] were compared on contrast-enhanced MRI.In our study, there were 41 small ICC nodules in 41 patients, including 30 men and 11 women (average age, 56 years). The nodules were characterized by peripheral hyperintense in the arterial phase on contrast-enhanced MRI. In the different diameter groups, peripheral hyperintense was the most common in the larger nodule group (56% vs 12%, P < .05) and hypointense was more common in the smaller nodule group (25% vs 0%, P < .05) in the arterial phase on contrast-enhanced MRI. Smaller nodules mainly showed progressive enhancement, whereas larger nodules mainly showed peripheral continuous enhancement (56% vs 6%, P < .05).The small-diameter mass-forming ICC nodules mainly show peripheral continuous enhancement on contrast-enhanced MRI; however, those with diameters <2 cm commonly show progressive enhancement.
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Affiliation(s)
- Wenjie Liang
- Department of Radiology
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University
| | - Dalong Wan
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University
| | - Qinyan Lu
- Department of Radiology, Hangzhou Aeromedicine Evaluation and Training Center of the PLA Air Force, Hangzhou City, Zhejiang Province
| | - Shengzhang Lin
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University
| | - Zhihua Chen
- Department of General Surgery, The First people's Hospital of Taicang City, Taicang Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, China
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Kim TK, Noh SY, Wilson SR, Kono Y, Piscaglia F, Jang HJ, Lyshchik A, Dietrich CF, Willmann JK, Vezeridis A, Sirlin CB. Contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) 2017 - a review of important differences compared to the CT/MRI system. Clin Mol Hepatol 2017; 23:280-289. [PMID: 28911220 PMCID: PMC5760002 DOI: 10.3350/cmh.2017.0037] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 07/21/2017] [Indexed: 12/12/2022] Open
Abstract
Medical imaging plays an important role in the diagnosis and management of hepatocellular carcinoma (HCC). The Liver Imaging Reporting and Data System (LI-RADS) was initially created to standardize the reporting and data collection of CT and MR imaging for patients at risk for HCC. As contrast-enhanced ultrasound (CEUS) has been widely used in clinical practice, it has recently been added to the LI-RADS. While CEUS LI-RADS shares fundamental concepts with CT/MRI LI-RADS, there are key differences between the modalities reflecting dissimilarities in the underlying methods of image acquisition and types of contrast material. This review introduces a recent update of CEUS LI-RADS and explains the key differences from CT/MRI LI-RADS.
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Affiliation(s)
- Tae Kyoung Kim
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Seung Yeon Noh
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Seoul, Korea
| | - Stephanie R Wilson
- Diagnostic Imaging, Department of Radiology, University of Calgary, Calgary, Canada
| | - Yuko Kono
- Department of Medicine and Radiology, University of California, San Diego, USA
| | - Fabio Piscaglia
- Unit of Internal Medicine, Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Hyun-Jung Jang
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Andrej Lyshchik
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, USA
| | | | | | | | - Claude B Sirlin
- Department of Radiology, University of California, San Diego, USA
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42
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Lee DH, Lee JM. Primary malignant tumours in the non-cirrhotic liver. Eur J Radiol 2017; 95:349-361. [PMID: 28987692 DOI: 10.1016/j.ejrad.2017.08.030] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Revised: 07/25/2017] [Accepted: 08/28/2017] [Indexed: 12/12/2022]
Abstract
Intrahepatic chlangiocarcinomas (CCs), the second most common primary malignant liver tumours, usually occur in non-cirrhotic liver, and can be classified into three types based on gross morphology: mass-forming; periductal infiltrating; and intraductal growing. Among them, mass-forming intrahepatic CCs are the most common type and characterized by homogeneous mass with an irregular but well-defined margin with peripheral enhancement on late arterial phase and delayed enhancement in central portion of tumours corresponding to the fibrous stroma. Several imaging features such as enhancement pattern and degree of diffusion restriction have been suggested as prognostic markers for mass-forming CCs. Hepatocellular carcinomas (HCCs) are the most common primary malignant liver tumors, and usually arise from the cirrhotic liver. However, approximately 20% of HCCs involve the non-cirrhotic liver (hereafter, non-cirrhotic HCC), and non-cirrhotic HCCs are often detected at an advanced stage due to the lack of surveillance for patients with non-cirrhotic liver. Other primary malignant liver tumours other than CCs and HCCs including angiosarcoma, undifferentiated embryonal sarcoma are quite rare, and imaging diagnosis is often difficult. This review offers a brief overview of epidemiology, risk factors and imaging features of primary malignant tumours in non-cirrhotic liver. Understanding of radiologic appearance and predisposing clinical features as well as differentials of primary malignant tumour in non-cirrhotic liver can be helpful for radiologists to adequately assess these tumours, and subsequently to make optimal management plan.
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Affiliation(s)
- Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, Republic of Korea; Seoul National University College of Medicine, Republic of Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Republic of Korea; Seoul National University College of Medicine, Republic of Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Republic of Korea.
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Fraum TJ, Tsai R, Rohe E, Ludwig DR, Salter A, Nalbantoglu ILK, Heiken JP, Fowler KJ. Differentiation of Hepatocellular Carcinoma from Other Hepatic Malignancies in Patients at Risk: Diagnostic Performance of the Liver Imaging Reporting and Data System Version 2014. Radiology 2017; 286:158-172. [PMID: 28853673 DOI: 10.1148/radiol.2017170114] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Purpose To evaluate the diagnostic performance and interrater reliability of the Liver Imaging Reporting and Data System (LI-RADS) version 2014 in differentiating hepatocellular carcinoma (HCC) from non-HCC malignancy in a population of patients at risk for HCC. Materials and Methods This retrospective HIPAA-compliant institutional review board-approved study was exempt from informed consent. A total of 178 pathology-proven malignant liver masses were identified in 178 patients at risk for HCC but without established extrahepatic malignancy from August 2012 through August 2015. Two readers blinded to pathology findings and clinical follow-up data independently evaluated a liver protocol magnetic resonance or computed tomography study for each lesion and assigned LI-RADS categories, scoring all major and most ancillary features. Statistical analyses included the independent samples t test, x2 test, Fisher exact test, and Cohen k. Results This study included 136 HCCs and 42 non-HCC malignancies. Specificity and positive predictive value of an HCC imaging diagnosis (LR-5 or LR-5V) were 69.0% and 90.5%, respectively, for reader 1 (R1) and 88.3% and 95.5%, respectively, for reader 2 (R2). Tumor in vein was a common finding in patients with non-HCC malignancies (R1, 10 of 42 [23.8%]; R2, five of 42 [11.9%]). Exclusion of the LR-5V pathway improved specificity and positive predictive value for HCC to 83.3% and 92.9%, respectively, for R1 (six fewer false-positive findings) and 92.3% and 96.4%, respectively, for R2 (one fewer false-positive finding). Among masses with arterial phase hyperenhancement, the rim pattern was more common among non-HCC malignancies than among HCCs for both readers (R1: 24 of 36 [66.7%] vs 13 of 124, [10.5%], P < .001; R2: 27 of 35 [77.1%] vs 21 of 123 [17.1%], P < .001) (k = 0.76). Exclusion of rim arterial phase hyperenhancement as a means of satisfying LR-5 criteria also improved specificity and positive predictive value for HCC (R1, two fewer false-positive findings). Conclusion Modification of the algorithmic role of tumor in vein and rim arterial phase hyperenhancement improves the diagnostic performance of LI-RADS version 2014 in differentiating HCC from non-HCC malignancy. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Tyler J Fraum
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Richard Tsai
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Eric Rohe
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Daniel R Ludwig
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Amber Salter
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - ILKe Nalbantoglu
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Jay P Heiken
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Kathryn J Fowler
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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Jones RH, Taylor AJ, Rostambeigi N, Spilseth B. Small hepatocellular carcinomas displayed as a ring enhancing mass on arterial phase MRI in the chronically diseased liver. Clin Radiol 2017; 72:995.e1-995.e9. [PMID: 28751038 DOI: 10.1016/j.crad.2017.07.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 06/20/2017] [Accepted: 07/03/2017] [Indexed: 01/05/2023]
Abstract
AIM To assess the prevalence of arterial phase (AP) ring-enhancing small hepatocellular carcinomas (HCC) on magnetic resonance imaging (MRI); detail additional MRI features that enable HCC diagnosis; and examine arterial timing as one possible cause of this appearance. MATERIALS AND METHODS Patients undergoing HCC screening with both computed tomography (CT) and MRI within 40 days were examined at a single institution over a 7- year time period ending in 2013. From this initial group, small (1-3 cm), (AP) ring-enhancing HCC on MRI were studied. RESULTS From the initial group of 64 patients with 129 HCC, 20 patients with 78 HCCs had a small diameter with 32 (41%) having an AP ring at MRI. The mean age of this latter group was 63-years old, with the average tumour diameter of 1.9 cm. Histopathology and secondary imaging supported a diagnosis of HCC in 20 (100%) patients and 31 (97%) lesions. Most of the ringed lesions had early AP timing. CONCLUSION This study revealed a high prevalence (41%) of small, AP ring HCC with MRI. The use of other MRI sequences adds support in making the proper diagnosis with this appearance. Early AP timing may help create this pattern.
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Affiliation(s)
- R H Jones
- Department of Radiology, University of Minnesota, 420 Delaware Street S.E, Mayo Memorial Building, Minneapolis, MN 55455, USA
| | - A J Taylor
- Department of Radiology, University of Minnesota, 420 Delaware Street S.E, Mayo Memorial Building, Minneapolis, MN 55455, USA.
| | - N Rostambeigi
- Department of Radiology, University of Minnesota, 420 Delaware Street S.E, Mayo Memorial Building, Minneapolis, MN 55455, USA
| | - B Spilseth
- Department of Radiology, University of Minnesota, 420 Delaware Street S.E, Mayo Memorial Building, Minneapolis, MN 55455, USA
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Chen Y, Pan Y, Shen KR, Zhu XL, Lu CY, Li QH, Han SG, Fu YB, Xu XF, Yu RS. Contrast-enhanced multiple-phase imaging features of intrahepatic mass-forming cholangiocarcinoma and hepatocellular carcinoma with cirrhosis: A comparative study. Oncol Lett 2017; 14:4213-4219. [PMID: 28943929 PMCID: PMC5592880 DOI: 10.3892/ol.2017.6656] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 07/13/2017] [Indexed: 01/08/2023] Open
Abstract
The intrahepatic mass-forming cholangiocarcinoma (IMCC) is frequently misdiagnosed as hepatocellular carcinoma (HCC) in patients with cirrhosis, by numerous radiologists and clinical doctors, which results in the incorrect therapeutic treatment. A retrospective case-control study was conducted, and the contrast-enhanced multiple-phase (CEMP) computed tomography (CT) and magnetic resonance imaging (MRI) findings of 22 pathologically confirmed IMCC patients and 22 HCC controls with underlying liver cirrhosis were analyzed at the present hospital, from January 2010 to December 2015. In addition, serum tests were conducted and clinical symptoms of patients evaluated. A statistical analysis revealed that the enhancement pattern, signal on MRI delayed phase (P<0.001), maximum diameter, capsule retraction, portal vein invasion, bile duct dilation and abdominal lymphadenectasis characteristics were different between IMCC and HCC patients with cirrhosis. On CEMP CT and MRI analysis, the most frequently occurring enhancement patterns of IMCC were progressive patterns (P=0.001 or P<0.001). Conversely, the most frequently occurring enhancement patterns present in HCC were the washout patterns (P<0.001). Therefore, the diagnosis of IMCC in cirrhotic patients should be verified with CEMP CT and MRI analysis for the future, to determine presence or absence of progressive and/or peripheral rim-like enhancement, a hyperintensive delayed phase with capsule retraction, portal vein invasion, bile duct dilation, abdominal lymphadenectasis and increased levels of CA199.
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Affiliation(s)
- Ying Chen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Yao Pan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Ke-Ren Shen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Xiu-Liang Zhu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Chen-Ying Lu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Qing-Hai Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Shu-Gao Han
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Yan-Biao Fu
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Xiu-Fang Xu
- Department of Radiology, Hangzhou Medical College, Hangzhou 310053, P.R. China
| | - Ri-Sheng Yu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
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Ronot M, Dioguardi Burgio M, Purcell Y, Pommier R, Brancatelli G, Vilgrain V. Focal lesions in cirrhosis: Not always HCC. Eur J Radiol 2017; 93:157-168. [PMID: 28668410 DOI: 10.1016/j.ejrad.2017.05.040] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 05/25/2017] [Accepted: 05/26/2017] [Indexed: 02/07/2023]
Abstract
Even though most hepatocellular carcinomas (HCC) develop in the setting of cirrhosis, numerous other focal liver lesions and pseudolesions may be encountered. The role of the radiologist is therefore to differentiate these lesions from HCC to avoid under- and overdiagnosis. There are several ways of classifying these lesions: those which predate the development of fibrosis and cirrhosis (cystic lesions, hemangioma), those related to or a consequence of cirrhosis (regenerative nodules, dysplastic nodules, focal fibrosis, peribiliary cysts, shunts, or even cholangiocarcinoma), and those related to the underlying cause of chronic liver disease (lymphoma). Finally, some may develop independently (liver metastases). From an imaging point of view, it is important to remember that the imaging features of pre-existing lesions are not dramatically changed by cirrhosis. Differentiating non-HCC from HCC requires not only an understanding of the multi-step process of hepatocarcinogenesis, but also the importance of medical history, and of complimentary imaging modalities, namely computed tomography (CT) and magnetic resonance imaging (MRI). This review article gives an overview of the imaging features of benign and malignant non-HCC focal liver lesions in the setting of cirrhosis, with a focus on CT and MR imaging.
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Affiliation(s)
- Maxime Ronot
- Hopitaux Universitaires Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; University Paris Diderot, Sorbonne Paris Cité, Paris, France; INSERM U1149, centre de recherche biomédicale Bichat-Beaujon, CRB3, Paris, France.
| | - Marco Dioguardi Burgio
- Hopitaux Universitaires Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; University Paris Diderot, Sorbonne Paris Cité, Paris, France; INSERM U1149, centre de recherche biomédicale Bichat-Beaujon, CRB3, Paris, France
| | - Yvonne Purcell
- Hopitaux Universitaires Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France
| | - Romain Pommier
- Hopitaux Universitaires Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Giuseppe Brancatelli
- Section of Radiological Sciences, Department of Biopathology and Medical Biotechnologies Di.Bi.Med. University of Palermo, Palermo, Italy
| | - Valérie Vilgrain
- Hopitaux Universitaires Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; University Paris Diderot, Sorbonne Paris Cité, Paris, France; INSERM U1149, centre de recherche biomédicale Bichat-Beaujon, CRB3, Paris, France
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Cross-Sectional Imaging of Intrahepatic Cholangiocarcinoma: Development, Growth, Spread, and Prognosis. AJR Am J Roentgenol 2017; 209:W64-W75. [PMID: 28570102 DOI: 10.2214/ajr.16.16923] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Intrahepatic cholangiocarcinoma (ICC) is a malignant tumor that arises from the intrahepatic bile ducts. Although the pathologic and imaging features of ICC have been clearly identified, recent updates have addressed the pathologic classification and imaging features of ICC using new imaging techniques. First, a proposed new pathologic ICC subclassification includes perihilar large duct and peripheral small duct ICCs. Second, advanced MR-based imaging features of ICC, such as hepatobiliary phase imaging using hepatocytespecific contrast material and DWI, have recently been described. These imaging features are important when differentiating ICCs from hepatocellular carcinomas. Finally, some imaging features of ICC, such as prominent arterial enhancement or degree of delayed enhancement, exhibit potential as prognostic imaging biomarkers. CONCLUSION Comprehensive and updated knowledge of ICC is necessary for accurate diagnosis and could facilitate prediction of clinical outcomes for patients with ICC.
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48
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Jo PC, Jang HJ, Burns PN, Burak KW, Kim TK, Wilson SR. Integration of Contrast-enhanced US into a Multimodality Approach to Imaging of Nodules in a Cirrhotic Liver: How I Do It. Radiology 2017; 282:317-331. [PMID: 28099108 DOI: 10.1148/radiol.2016151732] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Accurate characterization of cirrhotic nodules and early diagnosis of hepatocellular carcinoma (HCC) are of vital importance. Currently, computed tomography (CT) and magnetic resonance (MR) imaging are standard modalities for the investigation of new nodules found at surveillance ultrasonography (US). This article describes the successful integration of contrast material-enhanced US into a multimodality approach for diagnosis of HCC and its benefits in this population. The application of contrast-enhanced US immediately following surveillance US allows for prompt dynamic contrast-enhanced evaluation, removing the need for further imaging of benign lesions. Contrast-enhanced US also provides dynamic real-time assessment of tumor vascularity so that contrast enhancement can be identified regardless of its timing or duration, allowing for detection of arterial hypervascularity and portal venous washout. The purely intravascular nature of US contrast agents is valuable as the rapid washout of nonhepatocyte malignancies is highly contributory to their differentiation from HCC. The authors believe contrast-enhanced US provides complementary information to CT and MR imaging in the characterization of nodules in high-risk patients. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Patricia C Jo
- From the Department of Radiology (P.C.J., S.R.W.) and Department of Medicine, Division of Gastroenterology (K.W.B., S.R.W.), Foothills Medical Centre, University of Calgary, 1403 29 St NW, Calgary, AB, Canada T2N 2T9; Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Ont, Canada (H.J.J., T.K.K.); and Department of Imaging Research, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (P.N.B.)
| | - Hyun-Jung Jang
- From the Department of Radiology (P.C.J., S.R.W.) and Department of Medicine, Division of Gastroenterology (K.W.B., S.R.W.), Foothills Medical Centre, University of Calgary, 1403 29 St NW, Calgary, AB, Canada T2N 2T9; Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Ont, Canada (H.J.J., T.K.K.); and Department of Imaging Research, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (P.N.B.)
| | - Peter N Burns
- From the Department of Radiology (P.C.J., S.R.W.) and Department of Medicine, Division of Gastroenterology (K.W.B., S.R.W.), Foothills Medical Centre, University of Calgary, 1403 29 St NW, Calgary, AB, Canada T2N 2T9; Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Ont, Canada (H.J.J., T.K.K.); and Department of Imaging Research, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (P.N.B.)
| | - Kelly W Burak
- From the Department of Radiology (P.C.J., S.R.W.) and Department of Medicine, Division of Gastroenterology (K.W.B., S.R.W.), Foothills Medical Centre, University of Calgary, 1403 29 St NW, Calgary, AB, Canada T2N 2T9; Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Ont, Canada (H.J.J., T.K.K.); and Department of Imaging Research, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (P.N.B.)
| | - Tae Kyoung Kim
- From the Department of Radiology (P.C.J., S.R.W.) and Department of Medicine, Division of Gastroenterology (K.W.B., S.R.W.), Foothills Medical Centre, University of Calgary, 1403 29 St NW, Calgary, AB, Canada T2N 2T9; Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Ont, Canada (H.J.J., T.K.K.); and Department of Imaging Research, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (P.N.B.)
| | - Stephanie R Wilson
- From the Department of Radiology (P.C.J., S.R.W.) and Department of Medicine, Division of Gastroenterology (K.W.B., S.R.W.), Foothills Medical Centre, University of Calgary, 1403 29 St NW, Calgary, AB, Canada T2N 2T9; Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Ont, Canada (H.J.J., T.K.K.); and Department of Imaging Research, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (P.N.B.)
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Hwang J, Kim YK, Min JH, Choi SY, Jeong WK, Hong SS, Kim HJ, Ahn S, Ahn HS. Capsule, septum, and T2 hyperintense foci for differentiation between large hepatocellular carcinoma (≥5 cm) and intrahepatic cholangiocarcinoma on gadoxetic acid MRI. Eur Radiol 2017; 27:4581-4590. [DOI: 10.1007/s00330-017-4846-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 02/28/2017] [Accepted: 04/10/2017] [Indexed: 12/22/2022]
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50
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Kozaka K, Matsui O, Kobayashi S, Koda W, Minami T, Kitao A, Inoue D, Yoneda N, Yoshida K, Toshima F, Nakanuma Y, Gabata T. Dynamic CT findings of cholangiolocellular carcinoma: correlation with angiography-assisted CT and histopathology. Abdom Radiol (NY) 2017; 42:861-869. [PMID: 27747442 DOI: 10.1007/s00261-016-0944-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVES To elucidate the dynamic CT features of pure type of cholangiolocellular carcinoma (pure CoCC) in comparison with those of cholangiocellular carcinoma (CCC) and to analyze their bases by angiography-assisted CT with histopathologic correlation. METHODS Surgically confirmed 10 pure CoCCs, 10 CCCs and 7 mixed CoCC and CCCs from August 2001 to May 2012 were included in this study. Among them, dynamic CT features were compared. In 8 pure CoCCs, the correlative study between angiography-assisted CT and histopathological study was performed to clarify the basic mechanism of dynamic CT features. RESULTS All pure CoCCs showed early and prolonged enhancement homogeneously or inhomogeneously and 8 of 10 pure CoCCs showed early peritumoral enhancement on dynamic CT. Time-attenuation curve provided by dynamic CT showed significant higher Hounsfield unit value of pure CoCC than those of CCC at each phases (p < 0.05). The depiction of peritumoral enhancement in CoCC was nearly simultaneous to tumor stain on dynamic CT during hepatic arteriography. Pathologic analysis revealed there were abundant communications between blood sinusoids of the tumor and intra and peritumoral portal venules and surrounding hepatic sinusoids. CONCLUSION Early tumoral staining and peritumoral enhancement due to early drainage from the tumor and prolonged enhancement are characteristic findings in pure CoCCs.
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Affiliation(s)
- Kazuto Kozaka
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan.
| | - Osamu Matsui
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Satoshi Kobayashi
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Wataru Koda
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Tetsuya Minami
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Azusa Kitao
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Dai Inoue
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Norihide Yoneda
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Kotaro Yoshida
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Fumihito Toshima
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Yasuni Nakanuma
- Department of Diagnostic Pathology, Shizuoka Cancer Center, Shizuoka, Japan
| | - Toshifumi Gabata
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
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