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Wang HH, Liu ZC, Zhang G, Li LH, Li L, Meng QB, Wang PJ, Shen DQ, Dang XW. Clinical characteristics and outcome of primary hepatic neuroendocrine tumors after comprehensive therapy. World J Gastrointest Oncol 2020; 12:1031-1043. [PMID: 33005296 PMCID: PMC7510005 DOI: 10.4251/wjgo.v12.i9.1031] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 05/13/2020] [Accepted: 08/16/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Primary hepatic neuroendocrine tumors (PHNETs), a group of neuroendocrine neoplasms, are extremely rare. There are only few case reports about PHNETs in the literature. The lack of large samples and multicenter research results in poor diagnostic and therapeutic approaches.
AIM To discuss the clinical characteristics, diagnosis, and treatment of PHNETs and risk factors related to survival.
METHODS We retrospectively analyzed the clinical data, imaging features, immunohistochemistry data, and treatment efficacy of 40 patients who were pathologically diagnosed with PHNETs and admitted to The First Affiliated Hospital of Zhengzhou University from January 1, 2014 to November 15, 2019. Finally, survival analysis was performed to identify the risk factors for survival.
RESULTS The main symptoms and signs included intermittent abdominal pain (19 patients, 47.5%) and bloating (8 patients, 20.0%). The positive rates of tested tumor markers were recorded as follows: Carbohydrate antigen 19-9 (CA19-9) (6 patients, 15.0%), CA72-4 (3 patients, 7.5%), carcinoembryonic antigen (7 patients, 17.5%), and alpha-fetoprotein (6 patients, 15.0%). Immunohistochemical staining results showed positivity for Syn in 38 (97.4%) of 39 patients, for chromogranin A in 17 (65.4%) of 26 patients, for CD56 in 35 (94.6%) of 37 patients, for AE1/AE3 in 28 (87.5%) of 32 patients, and for Ki-67 in all 40 (100.0%) patients. The overall survival rate was significantly related to the tumor grade, AE1/AE3, and Ki-67. No significant correlation was found between other parameters (age, gender, tumor number, tumor size, metastasis, and treatment) and overall survival.
CONCLUSION Higher grade, negative AE1/AE3, and higher Ki-67 are associated with a worse survival rate. Kinds of treatment and other parameters have no significant influence on overall survival.
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Affiliation(s)
- Hao-Hao Wang
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Zhao-Chen Liu
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Gong Zhang
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Lu-Hao Li
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Lin Li
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Qing-Bo Meng
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Pei-Ju Wang
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Dong-Qi Shen
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Xiao-Wei Dang
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
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Lei C, Chen J, Li H, Fan T, Zheng X, Wang H, Zhang N, Liu Y, Luo X, Wang J, Wang A. Role of the Mitochondrial Citrate-malate Shuttle in Hras12V-Induced Hepatocarcinogenesis: A Metabolomics-Based Analysis. Metabolites 2020; 10:metabo10050193. [PMID: 32414018 PMCID: PMC7281175 DOI: 10.3390/metabo10050193] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 05/07/2020] [Indexed: 12/15/2022] Open
Abstract
The activation of the Ras signaling pathway is a crucial process in hepatocarcinogenesis. Till now, no reports have scrutinized the role of dynamic metabolic changes in Ras oncogene-induced transition of the normal and precancerous liver cells to hepatocellular carcinoma in vivo. In the current study, we attempted a comprehensive investigation of Hras12V transgenic mice (Ras-Tg) by concatenating nontargeted metabolomics, transcriptomics analysis, and targeted-metabolomics incorporating [U-13C] glucose. A total of 631 peaks were detected, out of which 555 metabolites were screened. Besides, a total of 122 differently expressed metabolites (DEMs) were identified, and they were categorized and subtyped with the help of variation tendency analysis of the normal (W), precancerous (P), and hepatocellular carcinoma (T) liver tissues. Thus, the positive or negative association between metabolites and the hepatocellular carcinoma and Ras oncogene were identified. The bioinformatics analysis elucidated the hepatocarcinogenesis-associated significant metabolic pathways: glycolysis, mitochondrial citrate-malate shuttle, lipid biosynthesis, pentose phosphate pathway (PPP), cholesterol and bile acid biosynthesis, and glutathione metabolism. The key metabolites and enzymes identified in this analysis were further validated. Moreover, we confirmed the PPP, glycolysis, and conversion of pyruvate to cytosol acetyl-CoA by mitochondrial citrate-malate shuttle, in vivo, by incorporating [U-13C] glucose. In summary, the current study presented the comprehensive bioinformatics analysis, depicting the Ras oncogene-induced dynamic metabolite variations in hepatocarcinogenesis. A significant finding of our study was that the mitochondrial citrate-malate shuttle plays a crucial role in detoxification of lactic acid, maintenance of mitochondrial integrity, and enhancement of lipid biosynthesis, which, in turn, promotes hepatocarcinogenesis.
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Affiliation(s)
- Chuanyi Lei
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Jun Chen
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Huiling Li
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Tingting Fan
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Xu Zheng
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Hong Wang
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Nan Zhang
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Yang Liu
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Xiaoqin Luo
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Jingyu Wang
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Aiguo Wang
- Department of Comparative Medicine, Laboratory Animal Center, Dalian Medical University, Dalian 116044, Liaoning, China
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Wei Y, Huang Z, Tang H, Deng L, Yuan Y, Li J, Wu D, Wei X, Song B. IVIM improves preoperative assessment of microvascular invasion in HCC. Eur Radiol 2019; 29:5403-5414. [PMID: 30877465 DOI: 10.1007/s00330-019-06088-w] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 02/02/2019] [Accepted: 02/08/2019] [Indexed: 02/05/2023]
Abstract
PURPOSE To prospectively evaluate the potential role of intravoxel incoherent motion (IVIM) and conventional radiologic features for preoperative prediction of microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC). METHODS Institutional review board approval and written informed consent were obtained for this study. A cohort comprising 115 patients with 135 newly diagnosed HCCs between January 2016 and April 2017 were evaluated. Two radiologists independently reviewed the radiologic features and the apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*), and pseudodiffusion component fraction (f) were also measured. Interobserver agreement was checked and univariate and multivariate logistic regressions were used for screening the risk factors. Receiver operating characteristics (ROC) curve analyses were performed to evaluate the diagnostic performance. RESULTS Features significantly related to MVI of HCC at univariate analysis were reduced ADC (odds ratio, 0.341; 95% CI, 0.211-0.552; p < 0.001), D (odds ratio, 0.141; 95% CI, 0.067-0.299; p < 0.001), and irregular circumferential enhancement (odds ratio, 9.908; 95% CI, 3.776-25.996; p < 0.001). At multivariate analysis, only D value (odds ratio, 0.096; 95% CI, 0.025-0.364; p < 0.001) was the independent risk factor for MVI of HCC. The mean D value for MVI of HCC showed an area under ROC curves of 0.815 (95% CI, 0.740-0.877). CONCLUSION IVIM model-derived D value is superior to ADC measured with mono-exponential model for evaluating the MVI of HCC. Among MR imaging features, tumor margin, enhancement pattern, tumor capsule, and peritumoral enhancement were not predictive for MVI. KEY POINTS • Diffusion MRI is useful for non-invasively evaluating the microvascular invasion of hepatocellular carcinoma. • IVIM model is advantageous over mono-exponential model for assessing the microvascular invasion of hepatocellular carcinoma. • Decreased D value was the independent risk factor for predicting MVI of HCC.
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Affiliation(s)
- Yi Wei
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zixing Huang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Hehan Tang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Liping Deng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yuan Yuan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiaxing Li
- Department of Liver Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Dongbo Wu
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| | | | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Hwang SH, Park S, Han K, Choi JY, Park YN, Park MS. Optimal lexicon of gadoxetic acid-enhanced magnetic resonance imaging for the diagnosis of hepatocellular carcinoma modified from LI-RADS. Abdom Radiol (NY) 2019; 44:3078-3088. [PMID: 31165907 DOI: 10.1007/s00261-019-02077-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE To define the optimal lexicon of major imaging findings on gadoxetic acid-enhanced MRIs to diagnose HCC to improve diagnostic performance of the LI-RADS. METHODS Two hundred forty-one hepatic lesions (149 HCC, six other malignancies, 86 benign lesions) in 177 treatment-naïve patients at risk of HCC who underwent gadoxetic acid-MRIs from January 2013 to December 2015 were retrospectively reviewed using either histopathological or follow-up imaging findings as a standard reference. Two board-certified radiologists independently evaluated the imaging features and categorized the nodules based on the original and the following modified definitions in LI-RADS: (1) washout appearance in the portal venous phase (PVP) only versus that in the PVP or transitional phase, and (2) enhancing capsule only versus enhancing or non-enhancing capsule. Diagnostic performance and inter-observer agreement of LR-5 were assessed and compared between the algorithms using generalized estimation equation. RESULTS The sensitivity [79.2% (95% confidence interval 71.9, 85.0)] and accuracy [84.6% (79.5, 88.7)] of LR-5 were significantly higher for modified lexicon compared with original LI-RADS [60.4% (52.3, 67.9) and 73.9% (67.9, 79.0); P < 0.001 in all cases]. There was no significant difference in specificity [93.5% (86.2, 97.0) and 95.7% (89.0, 98.4); P = 0.153]. Subgroups of lesions < or ≥ 2 cm showed similar tendencies. Inter-observer agreement for capsule appearance was fair to moderate, whereas that for other imaging findings was good to excellent. CONCLUSIONS Compared to original LI-RADS, LI-RADS with modified lexicon showed higher sensitivity for the diagnosis of HCC using gadoxetic acid-MRI, with similar specificity.
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Kim YJ, Lee MH, Choi SY, Yi BH, Lee HK. Magnetic resonance imaging features predictive of an incomplete response to transarterial chemoembolization in patients with hepatocellular carcinoma: A STROBE-compliant study. Medicine (Baltimore) 2019; 98:e15592. [PMID: 31083245 PMCID: PMC6531079 DOI: 10.1097/md.0000000000015592] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
To identify pretreatment magnetic resonance imaging (MRI) features associated with an incomplete response (IR) to transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC).The medical records of 89 patients with HCC who had undergone a first TACE were reviewed retrospectively. The size, visual attenuation in the arterial phase, signal intensity (SI) on T1-, T2-, and diffusion-weighted images, and apparent diffusion coefficient (ADC) values of each lesion were evaluated on pretreatment images. The response to TACE was routinely assessed at 4 weeks post-treatment by 4-phase computed tomography. The HCC patients were classified as complete or incomplete responders based on the arterial-phase enhancement of the target lesion.In multivariate analysis, larger lesion diameter (P = .004, OR = 1.06 per millimeter, 95% CI = 1.02-1.11), faint enhancement on arterial phase (P = .021, OR = 3.24, 95% CI = 1.22-9.14), and non-low SI on T1-weighted images (P = .016, OR = 3.36, 95% CI = 1.29-9.32) were significantly associated with increased odds of an IR to TACE in HCC patients.An iso-to-high T1-weighted SI by pretreatment MRI was an independent predictor of an incomplete response to TACE in patients with HCC, in addition to faint arterial enhancement and lesion size.
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Bleeding Liver Masses: Imaging Features With Pathologic Correlation and Impact on Management. AJR Am J Roentgenol 2019; 213:8-16. [PMID: 30973778 DOI: 10.2214/ajr.19.21240] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVE. The purposes of this article are to discuss a variety of liver masses that can present with hemorrhage, including their characteristic imaging features, and to propose a diagnostic approach. CONCLUSION. A broad spectrum of pathologic conditions can present as spontaneous hemorrhage within or surrounding the liver and may present acutely or as a chronic or incidental finding. Imaging characteristics and clinical history can often narrow the differential diagnosis and guide management.
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Ye Z, Jiang H, Chen J, Liu X, Wei Y, Xia C, Duan T, Cao L, Zhang Z, Song B. Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: A prospective study. Chin J Cancer Res 2019; 31:806-817. [PMID: 31814684 PMCID: PMC6856708 DOI: 10.21147/j.issn.1000-9604.2019.05.10] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Objective To investigate the value of whole-lesion texture analysis on preoperative gadoxetic acid enhanced magnetic resonance imaging (MRI) for predicting tumor Ki-67 status after curative resection in patients with hepatocellular carcinoma (HCC). Methods This study consisted of 89 consecutive patients with surgically confirmed HCC. Texture features were extracted from multiparametric MRI based on whole-lesion regions of interest. The Ki-67 status was immunohistochemical determined and classified into low Ki-67 (labeling index ≤15%) and high Ki-67 (labeling index >15%) groups. Least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were applied for generating the texture signature, clinical nomogram and combined nomogram. The discrimination power, calibration and clinical usefulness of the three models were evaluated accordingly. Recurrence-free survival (RFS) rates after curative hepatectomy were also compared between groups. Results A total of 13 texture features were selected to construct a texture signature for predicting Ki-67 status in HCC patients (C-index: 0.878, 95% confidence interval: 0.791-0.937). After incorporating texture signature to the clinical nomogram which included significant clinical variates (AFP, BCLC-stage, capsule integrity, tumor margin, enhancing capsule), the combined nomogram showed higher discrimination ability (C-index: 0.936vs. 0.795, P<0.001), good calibration (P>0.05 in Hosmer-Lemeshow test) and higher clinical usefulness by decision curve analysis. RFS rate was significantly lower in the high Ki-67 group compared with the low Ki-67 group after curative surgery (63.27%vs. 85.00%, P<0.05). Conclusions Texture analysis on gadoxetic acid enhanced MRI can serve as a noninvasive approach to preoperatively predict Ki-67 status of HCC after curative resection. The combination of texture signature and clinical factors demonstrated the potential to further improve the prediction performance.
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Affiliation(s)
- Zheng Ye
- West China School of Medicine, Sichuan University, Chengdu 610041, China
| | - Hanyu Jiang
- West China School of Medicine, Sichuan University, Chengdu 610041, China
| | - Jie Chen
- West China School of Medicine, Sichuan University, Chengdu 610041, China
| | - Xijiao Liu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yi Wei
- West China School of Medicine, Sichuan University, Chengdu 610041, China
| | - Chunchao Xia
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Ting Duan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Likun Cao
- West China School of Medicine, Sichuan University, Chengdu 610041, China
| | - Zhen Zhang
- West China School of Medicine, Sichuan University, Chengdu 610041, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
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Krishan S, Dhiman RK, Kalra N, Sharma R, Baijal SS, Arora A, Gulati A, Eapan A, Verma A, Keshava S, Mukund A, Deva S, Chaudhary R, Ganesan K, Taneja S, Gorsi U, Gamanagatti S, Madhusudan KS, Puri P, Shalimar, Govil S, Wadhavan M, Saigal S, Kumar A, Thapar S, Duseja A, Saraf N, Khandelwal A, Mukhopadyay S, Gulati A, Shetty N, Verma N. Joint Consensus Statement of the Indian National Association for Study of the Liver and Indian Radiological and Imaging Association for the Diagnosis and Imaging of Hepatocellular Carcinoma Incorporating Liver Imaging Reporting and Data System. J Clin Exp Hepatol 2019; 9:625-651. [PMID: 31695253 PMCID: PMC6823668 DOI: 10.1016/j.jceh.2019.07.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 07/12/2019] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the 6th most common cancer and the second most common cause of cancer-related mortality worldwide. There are currently no universally accepted practice guidelines for the diagnosis of HCC on imaging owing to the regional differences in epidemiology, target population, diagnostic imaging modalities, and staging and transplant eligibility. Currently available regional and national guidelines include those from the American Association for the Study of Liver Disease (AASLD), the European Association for the Study of the Liver (EASL), the Asian Pacific Association for the Study of the Liver, the Japan Society of Hepatology, the Korean Liver Cancer Study Group, Hong Kong, and the National Comprehensive Cancer Network in the United States. India with its large population and a diverse health infrastructure faces challenges unique to its population in diagnosing HCC. Recently, American Association have introduced a Liver Imaging Reporting and Data System (LIRADS, version 2017, 2018) as an attempt to standardize the acquisition, interpretation, and reporting of liver lesions on imaging and hence improve the coherence between radiologists and clinicians and provide guidance for the management of HCC. The aim of the present consensus was to find a common ground in reporting and interpreting liver lesions pertaining to HCC on imaging keeping LIRADSv2018 in mind.
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Affiliation(s)
- Sonal Krishan
- Department of Radiology, Medanta Hospital, Gurgaon, India
| | - Radha K. Dhiman
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India,Address for correspondence: Radha Krishan Dhiman, MD, DM, FACG, FRCP, FAASLD, Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Navin Kalra
- Department of Radiology, Postgraduate Institute Of Medical Education and Research, Chandigarh, India
| | - Raju Sharma
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Sanjay S. Baijal
- Department of Diagnostic and Intervention Radiology, Medanta Hospital, Gurgaon, India
| | - Anil Arora
- Institute Of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Gangaram Hospital, New Delhi, India
| | - Ajay Gulati
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Anu Eapan
- Department of Radiology, Christian Medical College, Vellore, India
| | - Ashish Verma
- Department of Radiology, Banaras Hindu University, Varanasi, India
| | - Shyam Keshava
- Department of Radiology, Christian Medical College, Vellore, India
| | - Amar Mukund
- Department of Intervention Radiology, Institute of liver and biliary Sciences, New Delhi, India
| | - S. Deva
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Ravi Chaudhary
- Department of Radiology, Medanta Hospital, Gurgaon, India
| | | | - Sunil Taneja
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Ujjwal Gorsi
- Department of Radiology, Postgraduate Institute Of Medical Education and Research, Chandigarh, India
| | | | - Kumble S. Madhusudan
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Pankaj Puri
- Institute Of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Gangaram Hospital, New Delhi, India
| | - Shalimar
- Department of GastroEnterology, All India Institute of Medical Sciences, New Delhi, India
| | | | - Manav Wadhavan
- Institute of Digestive and Liver Diseases, BLK Hospital, Delhi, India
| | - Sanjiv Saigal
- Department of Hepatology, Medanta Hospital, Gurgaon, India
| | - Ashish Kumar
- Institute Of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Gangaram Hospital, New Delhi, India
| | - Shallini Thapar
- Department of Radiology, Institute of liver and biliary Sciences, New Delhi, India
| | - Ajay Duseja
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Neeraj Saraf
- Department of Hepatology, Medanta Hospital, Gurgaon, India
| | | | | | - Ajay Gulati
- Department of Radiology, Postgraduate Institute Of Medical Education and Research, Chandigarh, India
| | - Nitin Shetty
- Department of Radiology, Tata Memorial Hospital, Kolkata, India
| | - Nipun Verma
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
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Jeong WK, Jamshidi N, Felker ER, Raman SS, Lu DS. Radiomics and radiogenomics of primary liver cancers. Clin Mol Hepatol 2018; 25:21-29. [PMID: 30441889 PMCID: PMC6435966 DOI: 10.3350/cmh.2018.1007] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 08/16/2018] [Indexed: 02/07/2023] Open
Abstract
Concurrent advancements in imaging and genomic biomarkers have created opportunities to identify non-invasive imaging surrogates of molecular phenotypes. In order to develop such imaging surrogates radiomics and radiogenomics/imaging genomics will be necessary; there has been consistent progress in these fields for primary liver cancers. In this article we evaluate the current status of the field specifically with regards to hepatocellular carcinoma and intrahepatic cholangiocarcinoma, highlighting some of the up and coming results that were presented at the annual Radiological Society of North America Conference in 2017. There are an increasing number of studies in this area with a bias towards quantitative feature measurement, which is expected to benefit reproducibility of the findings and portends well for the future development of biomarkers for diagnosis, prognosis, and treatment response assessment. We review some of the advancements and look forward to some of the exciting future applications that are anticipated as the field develops.
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Affiliation(s)
- Woo Kyoung Jeong
- Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.,Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Neema Jamshidi
- Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Ely Richard Felker
- Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Steven Satish Raman
- Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - David Shinkuo Lu
- Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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Xu XF, Xing H, Yan WT, Wang JH, Yang T. Propensity score analyses of long-term outcomes of perivascular hepatocellular carcinoma: Radiofrequency ablation vs. surgery. Hepatobiliary Pancreat Dis Int 2018; 17:482. [PMID: 30253945 DOI: 10.1016/j.hbpd.2018.09.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Xin-Fei Xu
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai 200438, China; Department of Clinical Medicine, Second Military Medical University, Shanghai 200433, China
| | - Hao Xing
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai 200438, China
| | - Wen-Tao Yan
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai 200438, China; Department of Clinical Medicine, Second Military Medical University, Shanghai 200433, China
| | - Jia-He Wang
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai 200438, China; Department of Clinical Medicine, Second Military Medical University, Shanghai 200433, China
| | - Tian Yang
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai 200438, China.
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Patella F, Pesapane F, Fumarola EM, Emili I, Spairani R, Angileri SA, Tresoldi S, Franceschelli G, Carrafiello G. CT-MRI LI-RADS v2017: A Comprehensive Guide for Beginners. J Clin Transl Hepatol 2018; 6:222-236. [PMID: 29951368 PMCID: PMC6018316 DOI: 10.14218/jcth.2017.00062] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 12/02/2017] [Accepted: 12/05/2017] [Indexed: 12/16/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and the second leading cause of cancer-related deceases worldwide. Early diagnosis is essential for correct management and improvement of prognosis. Proposed for the first time in 2011 and updated for the last time in 2017, the Liver Imaging-Reporting and Data System (LI-RADS) is a comprehensive system for standardized interpretation and reporting of computed tomography (CT) and magnetic resonance imaging (MRI) liver examinations, endorsed by the American College of Radiology to achieve congruence with HCC diagnostic criteria in at-risk populations. Understanding its algorithm is fundamental to correctly apply LI-RADS in clinical practice. In this pictorial review, we provide a guide for beginners, explaining LI-RADS indications, describing major and ancillary features and eventually elucidating the diagnostic algorithm with the use of some clinical examples.
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Affiliation(s)
- Francesca Patella
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
| | - Filippo Pesapane
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
- *Correspondence to: Filippo Pesapane, Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, Milan 20122, Italy. Tel: +39-13012751123; Fax: +39-2-50323393; E-mail:
| | - Enrico Maria Fumarola
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
| | - Ilaria Emili
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
| | - Riccardo Spairani
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
| | - Salvatore Alessio Angileri
- Department of Health Sciences, Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
| | - Silvia Tresoldi
- Department of Health Sciences, Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
| | - Giuseppe Franceschelli
- Department of Health Sciences, Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
| | - Gianpaolo Carrafiello
- Department of Health Sciences, Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
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Kim B, Lee JH, Kim JK, Kim HJ, Kim YB, Lee D. The capsule appearance of hepatocellular carcinoma in gadoxetic acid-enhanced MR imaging: Correlation with pathology and dynamic CT. Medicine (Baltimore) 2018; 97:e11142. [PMID: 29924016 PMCID: PMC6023655 DOI: 10.1097/md.0000000000011142] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [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
This study aimed to evaluate the capability of gadoxetic acid-enhanced MR (GAeMR) to detect presence of capsule appearance in hepatocellular carcinoma (HCC), and to correlate it with dynamic computed tomography (CT) and pathological features.Sixty-three patients (54: 9 = M: F, mean age 55.8) surgically confirmed HCCs with preoperative CT and GAeMR were included in this retrospective study. Two readers evaluated presence of capsule appearances on CT and GAeMR images in each phase including precontrast (Pre), portal phase (PP), delayed phase (DP), transitional phase (TP), and hepatobiliary phase (HBP). Histologic capsule was compared with CT and GAeMR. Diagnostic performance of CT and GAeMR of each phase for histologic capsule was evaluated and compared by receiver operating characteristic curve. Interobserver agreement was assessed with kappa statistics.Histologically the capsule was complete in 12.7% (8/63) and incomplete in 60.3% (38/63). Four cases (6.3%) were pseudocapsule. Interobserver agreement for capsule appearance on GAeMR was good in Pre (κ = 0.684), moderate in PP (κ = 0.434), poor in TP (κ = 0.187), fair in HBP (κ = 0.395), and moderate on CT in PP (κ = 0.476) and DP (κ = 0.485). Diagnostic performance and sensitivity for the histologic capsule in DP on CT was highest among PP on CT and other phases on GAeMR. DP on CT images showed a higher Az value than PP on CT images with statistical significance (P < .001). PP on MR images revealed higher Az value than PP on CT images.The capsule appearance was most frequently observed in the DP on CT with highest diagnostic performance, and so DP images should be obtained on CT study for liver mass categorization. GAeMR yielded comparable capsule appearance to CT with moderate interobserver agreement. Considering hypointense rim on the HBP as fibrous capsule on pathology should be refrained, and so further study is warranted to correlate HBP hypointense rim with pathologic findings.
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Affiliation(s)
| | | | | | | | - Young Bae Kim
- Department of Pathology, Ajou University School of Medicine, Suwon-si, Republic of Korea
| | - Dakeun Lee
- Department of Pathology, Ajou University School of Medicine, Suwon-si, Republic of Korea
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Kim AY, Sinn DH, Jeong WK, Kim YK, Kang TW, Ha SY, Park CK, Choi GS, Kim JM, Kwon CHD, Joh JW, Kim MJ, Sohn I, Jung SH, Paik SW, Lee WJ. Hepatobiliary MRI as novel selection criteria in liver transplantation for hepatocellular carcinoma. J Hepatol 2018; 68:1144-1152. [PMID: 29410377 DOI: 10.1016/j.jhep.2018.01.024] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Revised: 12/18/2017] [Accepted: 01/24/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Hepatobiliary magnetic resonance imaging (MRI) provides additional information beyond the size and number of tumours, and may have prognostic implications. We examined whether pretransplant radiological features on MRI could be used to stratify the risk of tumour recurrence after liver transplantation (LT) for hepatocellular carcinoma (HCC). METHODS A total of 100 patients who had received a liver transplant and who had undergone preoperative gadoxetic acid-enhanced MRI, including the hepatobiliary phase (HBP), were reviewed for tumour size, number, and morphological type (e.g. nodular, nodular with perinodular extension, or confluent multinodular), satellite nodules, non-smooth tumour margins, peritumoural enhancement in arterial phase, peritumoural hypointensity on HBP, and apparent diffusion coefficients. The primary endpoint was time to recurrence. RESULTS In a multivariable adjusted model, the presence of satellite nodules [hazard ratio (HR) 3.07; 95% confidence interval (CI) 1.14-8.24] and peritumoural hypointensity on HBP (HR 4.53; 95% CI 1.52-13.4) were identified as independent factors associated with tumour recurrence. Having either of these radiological findings was associated with a higher tumour recurrence rate (72.5% vs. 15.4% at three years, p <0.001). When patients were stratified according to the Milan criteria, the presence of these two high-risk radiological findings was associated with a higher tumour recurrence rate in both patients transplanted within the Milan criteria (66.7% vs. 11.6% at three years, p <0.001, n = 68) and those who were transplanted outside the Milan criteria (75.5% vs. 28.6% at three years, p <0.001, n = 32). CONCLUSIONS Radiological features on preoperative hepatobiliary MRI can stratify the risk of tumour recurrence in patients who were transplanted either within or outside the Milan criteria. Therefore, hepatobiliary MRI can be a useful way to select potential candidates for LT. LAY SUMMARY High-risk radiological findings on preoperative hepatobiliary magnetic resonance imaging (either one of the following features: satellite nodule and peritumoural hypointensity on hepatobiliary phase) were associated with a higher tumour recurrence rate in patients transplanted either within or outside the Milan criteria.
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Affiliation(s)
- Ah Yeong Kim
- Department of Radiology and Center for Imaging Sciences, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Dong Hyun Sinn
- Department of Internal Medicine, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Woo Kyoung Jeong
- Department of Radiology and Center for Imaging Sciences, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Young Kon Kim
- Department of Radiology and Center for Imaging Sciences, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Tae Wook Kang
- Department of Radiology and Center for Imaging Sciences, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang Yun Ha
- Department of Pathology, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Chul Keun Park
- Department of Pathology, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Gyu Seong Choi
- Department of Surgery, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jong Man Kim
- Department of Surgery, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Choon Hyuck David Kwon
- Department of Surgery, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae-Won Joh
- Department of Surgery, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Min-Ji Kim
- Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Insuk Sohn
- Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sin-Ho Jung
- Department of Biostatics and Bioinformatics, Duke University, USA
| | - Seung Woon Paik
- Department of Internal Medicine, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Won Jae Lee
- Department of Radiology and Center for Imaging Sciences, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Wang WT, Zhu S, Ding Y, Yang L, Chen CZ, Ye QH, Ji Y, Zeng MS, Rao SX. T 1 mapping on gadoxetic acid-enhanced MR imaging predicts recurrence of hepatocellular carcinoma after hepatectomy. Eur J Radiol 2018; 103:25-31. [PMID: 29803381 DOI: 10.1016/j.ejrad.2018.03.027] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Revised: 03/22/2018] [Accepted: 03/27/2018] [Indexed: 02/06/2023]
Abstract
PURPOSE Our purpose was to demonstrate the prognostic significance of T1 mapping on gadoxetic acid-enhanced MR imaging in prediction of recurrence of single HCC after hepatectomy. MATERIALS AND METHODS One hundred and seven patients with single nodular HCC (≤3 cm) who underwent preoperative gadoxetic acid-enhanced MRI were included in the study. T1 mapping with syngo MapIt was obtained on a 1.5 T scanner. Radiological features and reduction rate of T1 relaxation time (Δ%) of tumors were assessed by two radiologists. Cumulative recurrence rates were compared between groups of low and high reduction rate of T1 relaxation time. A further classified cumulative recurrence rate of the overall cohort was based on the numbers of independent predictive factors. RESULTS Reduction rate of T1 relaxation time (P = 0.001) and non-hypervascular hypointense nodules (P = 0.042) in preoperative gadoxetic acid-enhanced MRI were independently related to recurrence of HCC after hepatectomy. Patients of lower reduction rates group had higher cumulative recurrence rates (P < 0.0001) than patients of higher reduction rates group. A combination of the two risk factors in patients with single HCC had significantly higher recurrence rates compared to those with either or none of the two risk factors. CONCLUSIONS Reduction rate of T1 relaxation time combined with non-hypervascular hypointense nodules can be reliable biomarkers in the preoperative prediction of recurrence of HCC after hepatectomy.
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Affiliation(s)
- Wen-Tao Wang
- Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute, Shanghai, China
| | - Shuo Zhu
- Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute, Shanghai, China
| | - Ying Ding
- Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute, Shanghai, China
| | - Li Yang
- Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute, Shanghai, China
| | - Cai-Zhong Chen
- Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute, Shanghai, China
| | - Qing-Hai Ye
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuan Ji
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Meng-Su Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute, Shanghai, China
| | - Sheng-Xiang Rao
- Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Medical Imaging Institute, Shanghai, China.
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Choi SY, Kim SH, Park CK, Min JH, Lee JE, Choi YH, Lee BR. Imaging Features of Gadoxetic Acid-enhanced and Diffusion-weighted MR Imaging for Identifying Cytokeratin 19-positive Hepatocellular Carcinoma: A Retrospective Observational Study. Radiology 2017; 286:897-908. [PMID: 29166246 DOI: 10.1148/radiol.2017162846] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Purpose To determine the preoperative magnetic resonance (MR) imaging findings potentially most useful for predicting cytokeratin 19 (CK19)-positive hepatocellular carcinoma (HCC) and to evaluate the prognosis after curative resection in patients with a single HCC lesion positive for CK19 compared with patients with HCC who are negative for CK19. Materials and Methods The institutional review board approved this study and waived the requirement for informed consent. Two hundred four patients with CK19-negative HCC and 38 with CK19-positive HCC who underwent curative resection after gadoxetic acid-enhanced and diffusion-weighted MR imaging were retrospectively evaluated in a single institution. Two radiologists evaluated preoperative findings at MR imaging. Significant findings for differentiating the two groups were identified at univariate and multivariate analyses. By using receiver operating characteristic analysis, the optimal cut-off values for quantitative variables were determined. Recurrence-free survival rates after surgery were also compared between groups. Results At multivariate analysis, irregular tumor margin (P = .024), arterial rim enhancement (P < .001), lower tumor-to-liver signal intensity (SI) ratio on hepatobiliary phase (HBP) images (≤0.522; P = .01), and lower tumor-to-liver apparent diffusion coefficient (ADC) ratio (≤0.820; P < .001) were independent significant factors to predict CK19-positive HCC. When three of these four criteria were combined, 63.2% (24 of 38; 95% confidence interval: 46.0%, 78.2%) of CK19-positive HCCs were identified with a specificity of 90.7% (185 of 204; 95% confidence interval: 46.0%, 78.2%). When all four criteria were satisfied, specificity was 99.5% (203 of 204; 95% confidence interval: 97.3%, 100%). Recurrence-free survival rates were significantly lower in patients with CK19-positive HCCs compared with those with CK19-negative HCCs after curative resection (63.9% vs 90.0% at 1 year, 63.9% vs 79.9% at 2 years, and 54.8% vs 70.2% at 3 years, P = .001 by log-rank test). Conclusion At gadoxetic acid-enhanced and diffusion-weighted MR imaging, irregular margin, arterial phase rim enhancement, lower tumor-to-liver ADC ratio, and lower tumor-to-liver SI ratio at HBP imaging may be helpful to predict CK19-positive HCC with early recurrence (<2 years) after curative resection. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Seo-Youn Choi
- From the Departments of Radiology (S.Y.C., J.E.L.) and Biomedical Statistics (B.R.L.), Soonchunhyang University College of Medicine, Bucheon Hospital, Gyeonggi-do, Korea; Department of Radiology and Center for Imaging Science (S.H.K., J.E.L.) and Department of Pathology (C.K.P.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul 06351, Korea; Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea (J.H.M.); and Department of Preventive Medicine, Gachon University Graduate School of Medicine, Incheon, Korea (Y.H.C.)
| | - Seong Hyun Kim
- From the Departments of Radiology (S.Y.C., J.E.L.) and Biomedical Statistics (B.R.L.), Soonchunhyang University College of Medicine, Bucheon Hospital, Gyeonggi-do, Korea; Department of Radiology and Center for Imaging Science (S.H.K., J.E.L.) and Department of Pathology (C.K.P.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul 06351, Korea; Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea (J.H.M.); and Department of Preventive Medicine, Gachon University Graduate School of Medicine, Incheon, Korea (Y.H.C.)
| | - Cheol Keun Park
- From the Departments of Radiology (S.Y.C., J.E.L.) and Biomedical Statistics (B.R.L.), Soonchunhyang University College of Medicine, Bucheon Hospital, Gyeonggi-do, Korea; Department of Radiology and Center for Imaging Science (S.H.K., J.E.L.) and Department of Pathology (C.K.P.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul 06351, Korea; Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea (J.H.M.); and Department of Preventive Medicine, Gachon University Graduate School of Medicine, Incheon, Korea (Y.H.C.)
| | - Ji Hye Min
- From the Departments of Radiology (S.Y.C., J.E.L.) and Biomedical Statistics (B.R.L.), Soonchunhyang University College of Medicine, Bucheon Hospital, Gyeonggi-do, Korea; Department of Radiology and Center for Imaging Science (S.H.K., J.E.L.) and Department of Pathology (C.K.P.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul 06351, Korea; Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea (J.H.M.); and Department of Preventive Medicine, Gachon University Graduate School of Medicine, Incheon, Korea (Y.H.C.)
| | - Ji Eun Lee
- From the Departments of Radiology (S.Y.C., J.E.L.) and Biomedical Statistics (B.R.L.), Soonchunhyang University College of Medicine, Bucheon Hospital, Gyeonggi-do, Korea; Department of Radiology and Center for Imaging Science (S.H.K., J.E.L.) and Department of Pathology (C.K.P.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul 06351, Korea; Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea (J.H.M.); and Department of Preventive Medicine, Gachon University Graduate School of Medicine, Incheon, Korea (Y.H.C.)
| | - Yoon-Hyeong Choi
- From the Departments of Radiology (S.Y.C., J.E.L.) and Biomedical Statistics (B.R.L.), Soonchunhyang University College of Medicine, Bucheon Hospital, Gyeonggi-do, Korea; Department of Radiology and Center for Imaging Science (S.H.K., J.E.L.) and Department of Pathology (C.K.P.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul 06351, Korea; Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea (J.H.M.); and Department of Preventive Medicine, Gachon University Graduate School of Medicine, Incheon, Korea (Y.H.C.)
| | - Bo Ra Lee
- From the Departments of Radiology (S.Y.C., J.E.L.) and Biomedical Statistics (B.R.L.), Soonchunhyang University College of Medicine, Bucheon Hospital, Gyeonggi-do, Korea; Department of Radiology and Center for Imaging Science (S.H.K., J.E.L.) and Department of Pathology (C.K.P.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul 06351, Korea; Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea (J.H.M.); and Department of Preventive Medicine, Gachon University Graduate School of Medicine, Incheon, Korea (Y.H.C.)
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Curative Resection of Single Primary Hepatic Malignancy: Liver Imaging Reporting and Data System Category LR-M Portends a Worse Prognosis. AJR Am J Roentgenol 2017; 209:576-583. [DOI: 10.2214/ajr.16.17478] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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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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Kim BR, Lee JM, Lee DH, Yoon JH, Hur BY, Suh KS, Yi NJ, Lee KB, Han JK. Diagnostic Performance of Gadoxetic Acid-enhanced Liver MR Imaging versus Multidetector CT in the Detection of Dysplastic Nodules and Early Hepatocellular Carcinoma. Radiology 2017; 285:134-146. [PMID: 28609205 DOI: 10.1148/radiol.2017162080] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Purpose To compare the diagnostic performance of gadoxetic acid-enhanced liver magnetic resonance (MR) imaging with that of contrast material-enhanced multidetector computed tomography (CT) in the detection of borderline hepatocellular nodules in patients with liver cirrhosis and to determine the Liver Imaging Reporting and Data System (LI-RADS) categories of these detected nodules. Materials and Methods The institutional review board approved this retrospective study and waived the informed consent requirement. Sixty-eight patients with pathologically proven dysplastic nodules (DNs) (low-grade DNs, n = 20; high-grade DNs, n = 17), early hepatocellular carcinomas (HCCs) (n = 42), or progressed HCCs (n = 33) underwent gadoxetic acid-enhanced MR imaging and multidetector CT. An additional 57 patients without any DNs or HCCs in the explanted livers were included as control subjects. Three radiologists independently graded the presence of liver nodules on a five-point confidence scale and assigned LI-RADS categories by using imaging findings. Jackknife alternative free-response receiver operating characteristics (JAFROC) software was used to compare the diagnostic accuracy of each modality in lesion detection. Results Reader-averaged figures of merit estimated with JAFROC software to detect hepatocellular nodules were 0.774 for multidetector CT and 0.842 for MR imaging (P = .002). Readers had significantly higher detection sensitivity for early HCCs with MR imaging than with multidetector CT (78.6% vs 52.4% [P = .001], 71.4% vs 50.0% [P = .011], and 73.8% vs 50.0% [P = .001], respectively). A high proportion of overall detected early HCCs at multidetector CT (59.4%) and MR imaging (72.3%) were categorized as LI-RADS category 4. Most early HCCs (76.2%) and high-grade DNs (82.4%) demonstrated hypointensity on hepatobiliary phase images. In total, 30 more LI-RADS category 4 early HCCs were identified with MR imaging than with multidetector CT across all readers. Conclusion Gadoxetic acid-enhanced MR imaging performed significantly better in the detection of high-risk borderline nodules, especially early HCCs, than did multidetector CT. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Bo Ram Kim
- From the Department of Radiology (B.R.K., J.M.L., D.H.L., J.H.Y., J.K.H.), Institute of Radiation Medicine (J.M.L., J.K.H.), Department of General Surgery (K.S.S., N.J.Y.), and Department of Pathology (K.B.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; and Department of Radiology, National Cancer Center, Seoul, Korea (B.Y.H.)
| | - Jeong Min Lee
- From the Department of Radiology (B.R.K., J.M.L., D.H.L., J.H.Y., J.K.H.), Institute of Radiation Medicine (J.M.L., J.K.H.), Department of General Surgery (K.S.S., N.J.Y.), and Department of Pathology (K.B.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; and Department of Radiology, National Cancer Center, Seoul, Korea (B.Y.H.)
| | - Dong Ho Lee
- From the Department of Radiology (B.R.K., J.M.L., D.H.L., J.H.Y., J.K.H.), Institute of Radiation Medicine (J.M.L., J.K.H.), Department of General Surgery (K.S.S., N.J.Y.), and Department of Pathology (K.B.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; and Department of Radiology, National Cancer Center, Seoul, Korea (B.Y.H.)
| | - Jeong Hee Yoon
- From the Department of Radiology (B.R.K., J.M.L., D.H.L., J.H.Y., J.K.H.), Institute of Radiation Medicine (J.M.L., J.K.H.), Department of General Surgery (K.S.S., N.J.Y.), and Department of Pathology (K.B.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; and Department of Radiology, National Cancer Center, Seoul, Korea (B.Y.H.)
| | - Bo Yun Hur
- From the Department of Radiology (B.R.K., J.M.L., D.H.L., J.H.Y., J.K.H.), Institute of Radiation Medicine (J.M.L., J.K.H.), Department of General Surgery (K.S.S., N.J.Y.), and Department of Pathology (K.B.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; and Department of Radiology, National Cancer Center, Seoul, Korea (B.Y.H.)
| | - Kyung Suk Suh
- From the Department of Radiology (B.R.K., J.M.L., D.H.L., J.H.Y., J.K.H.), Institute of Radiation Medicine (J.M.L., J.K.H.), Department of General Surgery (K.S.S., N.J.Y.), and Department of Pathology (K.B.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; and Department of Radiology, National Cancer Center, Seoul, Korea (B.Y.H.)
| | - Nam-Joon Yi
- From the Department of Radiology (B.R.K., J.M.L., D.H.L., J.H.Y., J.K.H.), Institute of Radiation Medicine (J.M.L., J.K.H.), Department of General Surgery (K.S.S., N.J.Y.), and Department of Pathology (K.B.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; and Department of Radiology, National Cancer Center, Seoul, Korea (B.Y.H.)
| | - Kyung Boon Lee
- From the Department of Radiology (B.R.K., J.M.L., D.H.L., J.H.Y., J.K.H.), Institute of Radiation Medicine (J.M.L., J.K.H.), Department of General Surgery (K.S.S., N.J.Y.), and Department of Pathology (K.B.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; and Department of Radiology, National Cancer Center, Seoul, Korea (B.Y.H.)
| | - Joon Koo Han
- From the Department of Radiology (B.R.K., J.M.L., D.H.L., J.H.Y., J.K.H.), Institute of Radiation Medicine (J.M.L., J.K.H.), Department of General Surgery (K.S.S., N.J.Y.), and Department of Pathology (K.B.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; and Department of Radiology, National Cancer Center, Seoul, Korea (B.Y.H.)
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Thompson SM, Wang J, Chandan VS, Glaser KJ, Roberts LR, Ehman RL, Venkatesh SK. MR elastography of hepatocellular carcinoma: Correlation of tumor stiffness with histopathology features-Preliminary findings. Magn Reson Imaging 2017; 37:41-45. [PMID: 27845245 PMCID: PMC5587120 DOI: 10.1016/j.mri.2016.11.005] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 11/09/2016] [Indexed: 12/19/2022]
Abstract
PURPOSE To determine if tumor stiffness by MR Elastography (MRE) is associated with hepatocellular carcinoma (HCC) pathologic features. MATERIAL AND METHODS A retrospective review was undertaken of all patients with pathologically confirmed HCC who underwent MRE prior to loco-regional therapy, surgical resection or transplant between 1/1/2007 to 12/31/2015. An independent observer measured tumor stiffness (kilopascals, kPa) by drawing regions of interest (ROI) covering the HCC and in the case of HCCs with non-enhancing/necrotic components, only the solid portion was included in the ROI. HCC tumor grade (WHO criteria), vascular invasion and tumor encapsulation were assessed from retrievable pathology specimens by an expert hepatobiliary pathologist. Tumor stiffness was compared by tumor grade, size, presence of capsule and vascular invasion using Student's t-test (or Exact Mann-Whitney test). RESULTS 21 patients were identified who had pathologically confirmed HCCs and tumor MRE data. 17 patients (81.0%) had underlying chronic liver disease. The mean±SD tumor size (cm) was 5.3±3.9cm. The mean±SD tumor stiffness was 5.9±1.4kPa. Tumors were graded as well differentiated (N=2), moderately differentiated (N=11) and poorly differentiated (N=8). There was a trend toward increased tumor stiffness in well/moderately differentiated HCCs (6.5±1.2kPa; N=13) compared to poorly differentiated HCCs (4.9±1.2kPa; N=8) (p<0.01). There was no significant correlation between tumor stiffness and liver stiffness or tumor size. There was no significant difference in tumor stiffness by presence or etiology of chronic liver disease, vascular invasion or tumor encapsulation. CONCLUSION Preliminary data suggest that tumor stiffness by MRE may be able to differentiate HCC tumor grade.
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Affiliation(s)
- Scott M Thompson
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States
| | - Jin Wang
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States
| | - Vishal S Chandan
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States
| | - Kevin J Glaser
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States
| | - Lewis R Roberts
- Division of Gastroenterology and Hepatology, Department of Medicine, College of Medicine, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States
| | - Sudhakar K Venkatesh
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States.
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An C, Rhee H, Han K, Choi JY, Park YN, Park MS, Kim MJ, Park S. Added value of smooth hypointense rim in the hepatobiliary phase of gadoxetic acid-enhanced MRI in identifying tumour capsule and diagnosing hepatocellular carcinoma. Eur Radiol 2016; 27:2610-2618. [PMID: 27770230 DOI: 10.1007/s00330-016-4634-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 10/03/2016] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To examine the added value of considering smooth hypointense rim in the hepatobiliary phase (HBP) of gadoxetic acid-enhanced MRI as capsule appearance for diagnosing tumour capsules and hepatocellular carcinoma (HCC). METHODS A total of 377 hepatic lesions (330 HCCs, 35 non-HCC malignancies and 12 benign) were included from 345 patients who underwent resection after MRI between January 2008 and December 2011. Two radiologists assessed the presence or absence of conventional capsule appearance and smooth hypointense rim in the HBP, and categorized each hepatic lesion according to the Liver Imaging Reporting and Data System. Difference in diagnostic performance was evaluated using the generalized estimating equation method. RESULTS For identifying capsule, the sensitivity and accuracy of HBP hypointense rim were significantly higher than those of conventional capsule appearance (81.5 % vs. 57.8 % and 76.1 % vs. 59.4 %, respectively; P < 0.001). For diagnosing HCC, the sensitivity and accuracy of LR-5 or LR-5 V were significantly higher when the HBP hypointense rim was also considered capsule appearance (83 % vs. 72.7 % and 84.1 % vs. 75.1 %, respectively; P < 0.001), with the same specificity (91.5 %). CONCLUSIONS Regarding smooth hypointense rim in the HBP as capsule appearance could improve the detection of tumour capsule and the diagnosis of HCC. KEY POINTS • Identifying tumour capsule is important for diagnosis of hepatocellular carcinoma (HCC). • Gadoxetic acid-enhanced MRI provides hepatobiliary phase (HBP) images. • Smooth hypointense rim seen in HBP may represent tumour capsule. • Regarding smooth hypointense rim as capsule appearance may improve HCC diagnosis.
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Affiliation(s)
- Chansik An
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Hyungjin Rhee
- Department of Pathology, Brain Korea 21 PLUS Project for Medical Science, Integrated Genomic Research Center for Metabolic Regulation, Yonsei University College of Medicine, Seoul, Korea
| | - Kyunghwa Han
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Jin-Young Choi
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Young-Nyun Park
- Department of Pathology, Brain Korea 21 PLUS Project for Medical Science, Integrated Genomic Research Center for Metabolic Regulation, Yonsei University College of Medicine, Seoul, Korea.,Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Mi-Suk Park
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Myeong-Jin Kim
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Sumi Park
- Department of Radiology, National Health Insurance Service Ilsan Hospital, Goyang, Korea.
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