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Gaeta M, Galletta K, Cavallaro M, Mormina E, Cannizzaro MT, Lanzafame LRM, D'Angelo T, Blandino A, Vinci SL, Granata F. T1 relaxation: Chemo-physical fundamentals of magnetic resonance imaging and clinical applications. Insights Imaging 2024; 15:200. [PMID: 39120775 PMCID: PMC11315875 DOI: 10.1186/s13244-024-01744-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 06/07/2024] [Indexed: 08/10/2024] Open
Abstract
A knowledge of the complex phenomena that regulate T1 signal on Magnetic Resonance Imaging is essential in clinical practice for a more effective characterization of pathological processes. The authors review the physical basis of T1 Relaxation Time and the fundamental aspects of physics and chemistry that can influence this parameter. The main substances (water, fat, macromolecules, methemoglobin, melanin, Gadolinium, calcium) that influence T1 and the different MRI acquisition techniques that can be applied to enhance their presence in diagnostic images are then evaluated. An extensive case illustration of the different phenomena and techniques in the areas of CNS, abdomino-pelvic, and osteoarticular pathology is also proposed. CRITICAL RELEVANCE STATEMENT: T1 relaxation time is strongly influenced by numerous factors related to tissue characteristics and the presence in the context of the lesions of some specific substances. An examination of these phenomena with extensive MRI exemplification is reported. KEY POINTS: The purpose of the paper is to illustrate the chemical-physical basis of T1 Relaxation Time. MRI methods in accordance with the various clinical indications are listed. Several examples of clinical application in abdominopelvic and CNS pathology are reported.
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Affiliation(s)
- Michele Gaeta
- Radiology Unit - Biomorf Department, University of Messina, Messina, Italy
| | - Karol Galletta
- Neuroradiology Unit - Biomorf Department, University of Messina, Messina, Italy
| | - Marco Cavallaro
- Neuroradiology Unit - Biomorf Department, University of Messina, Messina, Italy
| | - Enricomaria Mormina
- Neuroradiology Unit - Biomorf Department, University of Messina, Messina, Italy
| | | | | | - Tommaso D'Angelo
- Radiology Unit - Biomorf Department, University of Messina, Messina, Italy.
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD, Rotterdam, The Netherlands.
| | - Alfredo Blandino
- Radiology Unit - Biomorf Department, University of Messina, Messina, Italy
| | - Sergio Lucio Vinci
- Neuroradiology Unit - Biomorf Department, University of Messina, Messina, Italy
| | - Francesca Granata
- Neuroradiology Unit - Biomorf Department, University of Messina, Messina, Italy
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Liu Y, Zhang Z, Zhang H, Wang X, Wang K, Yang R, Han P, Luan K, Zhou Y. Clinical prediction of microvascular invasion in hepatocellular carcinoma using an MRI-based graph convolutional network model integrated with nomogram. Br J Radiol 2024; 97:938-946. [PMID: 38552308 PMCID: PMC11075980 DOI: 10.1093/bjr/tqae056] [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: 05/15/2023] [Revised: 02/07/2024] [Accepted: 03/06/2024] [Indexed: 05/09/2024] Open
Abstract
OBJECTIVES Based on enhanced MRI, a prediction model of microvascular invasion (MVI) for hepatocellular carcinoma (HCC) was developed using graph convolutional network (GCN) combined nomogram. METHODS We retrospectively collected 182 HCC patients confirmed histopathologically, all of them performed enhanced MRI before surgery. The patients were randomly divided into training and validation groups. Radiomics features were extracted from the arterial phase (AP), portal venous phase (PVP), and delayed phase (DP), respectively. After removing redundant features, the graph structure by constructing the distance matrix with the feature matrix was built. Screening the superior phases and acquired GCN Score (GS). Finally, combining clinical, radiological and GS established the predicting nomogram. RESULTS 27.5% (50/182) patients were with MVI positive. In radiological analysis, intratumoural artery (P = 0.007) was an independent predictor of MVI. GCN model with grey-level cooccurrence matrix-grey-level run length matrix features exhibited area under the curves of the training group was 0.532, 0.690, and 0.885 and the validation group was 0.583, 0.580, and 0.854 for AP, PVP, and DP, respectively. DP was selected to develop final model and got GS. Combining GS with diameter, corona enhancement, mosaic architecture, and intratumoural artery constructed a nomogram which showed a C-index of 0.884 (95% CI: 0.829-0.927). CONCLUSIONS The GCN model based on DP has a high predictive ability. A nomogram combining GS, clinical and radiological characteristics can be a simple and effective guiding tool for selecting HCC treatment options. ADVANCES IN KNOWLEDGE GCN based on MRI could predict MVI on HCC.
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Affiliation(s)
- Yang Liu
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin 150010, Heilongjiang, China
| | - Ziqian Zhang
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin 150010, Heilongjiang, China
| | - Hongxia Zhang
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin 150010, Heilongjiang, China
| | - Xinxin Wang
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin 150010, Heilongjiang, China
| | - Kun Wang
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
| | - Rui Yang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin 150081, Heilongjiang Province, China
| | - Peng Han
- Department of Surgical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin 150081, Heilongjiang Province, China
| | - Kuan Luan
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
| | - Yang Zhou
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin 150010, Heilongjiang, China
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Gao X, Bian J, Luo J, Guo K, Xiang Y, Liu H, Ding J. Radiomics-based distinction of small (≤2 cm) hepatocellular carcinoma and precancerous lesions based on unenhanced MRI. Clin Radiol 2024; 79:e659-e664. [PMID: 38341345 DOI: 10.1016/j.crad.2024.01.019] [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: 06/09/2023] [Revised: 12/08/2023] [Accepted: 01/12/2024] [Indexed: 02/12/2024]
Abstract
AIM To assess the feasibility of a radiomics model based on unenhanced magnetic resonance imaging (MRI) to differentiate small hepatocellular carcinoma (S-HCC) (≤2 cm) and pre-hepatocellular carcinoma (Pre-HCC). MATERIALS AND METHODS One hundred and fourteen histopathologically confirmed 114 hepatic nodules were analysed retrospectively. All patients had undergone MRI before surgery using a 3 T MRI system. Each nodule was segmented on unenhanced MRI sequences (T1-weighted imaging [T1] and T2WI with fat-suppression [FS-T2]). Radiomics features were extracted and the optimal features were selected using the least absolute shrinkage and selection operator (LASSO). The support vector machine (SVM) was used to establish the radiomics model. One abdominal radiologist performed the conventional qualitative analysis for classification of S-HCC and Pre-HCC. The diagnostic performances of the radiomics and radiologist models were evaluated using receiver operating characteristic (ROC) analysis. RESULT Radiomics features (n=1,223) were extracted from each sequence and the optimal features were selected from T1, FS-T2, and T1+FS-T2 to construct the radiomics models. The radiomics model based on T1+FS-T2 showed the best performance among the three models, with areas under the ROC curves (AUCs) of 0.95 (95 % confidence interval [CI], 0.875-0.986) and 0.942 (95 % CI, 0.775-0.985), accuracies of 86 % and 88.5 %, sensitivities of 94.12 % and 100 %, and specificities of 85.48 % and 85.19 %, respectively. The radiomics model on FS-T2 showed better performance on a single sequence than that of the T1-based model. The diagnostic performance for the radiomic model was significantly higher than that for the radiologist (AUC = 0.518, p<0.05). CONCLUSION This study suggested that a radiomics model based on unenhanced MRI may serve as a feasible and non-invasive tool to classify S-HCC and Pre-HCC.
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Affiliation(s)
- X Gao
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, Liaoning, China.
| | - J Bian
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, Liaoning, China
| | - J Luo
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, Liaoning, China
| | - K Guo
- Department of Pathology, The Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, Liaoning, China
| | - Y Xiang
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, Liaoning, China
| | - H Liu
- Yizhun Medical AI Co., Ltd, Beijing, China
| | - J Ding
- Yizhun Medical AI Co., Ltd, Beijing, China
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Lominadze Z, Shaik MR, Choi D, Zaffar D, Mishra L, Shetty K. Hepatocellular Carcinoma Genetic Classification. Cancer J 2023; 29:249-258. [PMID: 37796642 PMCID: PMC10686192 DOI: 10.1097/ppo.0000000000000682] [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] [Indexed: 10/07/2023]
Abstract
ABSTRACT Hepatocellular carcinoma (HCC) represents a significant global burden, with management complicated by its heterogeneity, varying presentation, and relative resistance to therapy. Recent advances in the understanding of the genetic, molecular, and immunological underpinnings of HCC have allowed a detailed classification of these tumors, with resultant implications for diagnosis, prognostication, and selection of appropriate treatments. Through the correlation of genomic features with histopathology and clinical outcomes, we are moving toward a comprehensive and unifying framework to guide our diagnostic and therapeutic approach to HCC.
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Affiliation(s)
- Zurabi Lominadze
- Division of Gastroenterology and Hepatology, University of Maryland School of Medicine
| | | | - Dabin Choi
- Department of Medicine, University of Maryland Medical Center
| | - Duha Zaffar
- Department of Medicine, University of Maryland Midtown Medical Center
| | - Lopa Mishra
- Feinstein Institutes for Medical Research and Cold Spring Harbor Laboratory; Divisions of Gastroenterology and Hepatology, Northwell Health
| | - Kirti Shetty
- Division of Gastroenterology and Hepatology, University of Maryland School of Medicine
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Wang Y, Huang S, Zhang Y, Cheng Y, Dai L, Gao W, Feng Z, Tao J, Zhang Y. Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian population. BMC Genomics 2023; 24:357. [PMID: 37370041 DOI: 10.1186/s12864-023-09367-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/08/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Hepatocellular carcinoma (HCC), which has a complex pathogenesis and poor prognosis, is one of the most common malignancies worldwide. Hepatitis virus B infection is the most common cause of HCC in Asian patients. Autophagy is the process of digestion and degradation, and studies have shown that autophagy-associated effects are closely related to the development of HCC. In this study, we aimed to construct a prognostic model based on autophagy-related genes (ARGs) for the Asian HCC population to provide new ideas for the clinical management of HCC in the Asian population. METHODS The clinical information and transcriptome data of Asian patients with HCC were downloaded from The Cancer Genome Atlas (TCGA) database, and 206 ARGs were downloaded from the human autophagy database (HADB). We performed differential and Cox regression analyses to construct a risk score model. The accuracy of the model was validated by using the Kaplan-Meier (K-M) survival curve, receiver operating characteristic (ROC) curve, and univariate and multivariate Cox independent prognostic analyses. The results Thirteen ARGs that were significantly associated with prognosis were finally identified by univariate and multivariate Cox regression analyses. The K-M survival curves showed that the survival rate of the low-risk group was significantly higher than that of the high-risk group (p < 0.001), and the multi-indicator ROC curves further demonstrated the predictive ability of the model (AUC = 0.877). CONCLUSION The risk score model based on ARGs was effective in predicting the prognosis of Asian patients with HCC.
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Affiliation(s)
- Yanjie Wang
- Department of Oncology, The Second Affiliated Hospital of Soochow University, San Xiang Road No.1055, Suzhou, Jiangsu Province, 215004, People's Republic of China
| | - Sijia Huang
- Department of Oncology, The Second Affiliated Hospital of Soochow University, San Xiang Road No.1055, Suzhou, Jiangsu Province, 215004, People's Republic of China
| | - Yingtian Zhang
- Department of Oncology, The Second Affiliated Hospital of Soochow University, San Xiang Road No.1055, Suzhou, Jiangsu Province, 215004, People's Republic of China
| | - Yaping Cheng
- Department of Oncology, The Second Affiliated Hospital of Soochow University, San Xiang Road No.1055, Suzhou, Jiangsu Province, 215004, People's Republic of China
| | - Liya Dai
- Department of Oncology, The Second Affiliated Hospital of Soochow University, San Xiang Road No.1055, Suzhou, Jiangsu Province, 215004, People's Republic of China
| | - Wenwen Gao
- Department of Oncology, The Second Affiliated Hospital of Soochow University, San Xiang Road No.1055, Suzhou, Jiangsu Province, 215004, People's Republic of China
| | - Zhengyang Feng
- Department of Oncology, The Second Affiliated Hospital of Soochow University, San Xiang Road No.1055, Suzhou, Jiangsu Province, 215004, People's Republic of China
| | - Jialong Tao
- Department of Oncology, The Second Affiliated Hospital of Soochow University, San Xiang Road No.1055, Suzhou, Jiangsu Province, 215004, People's Republic of China.
| | - Yusong Zhang
- Department of Oncology, The Second Affiliated Hospital of Soochow University, San Xiang Road No.1055, Suzhou, Jiangsu Province, 215004, People's Republic of China.
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Bakrania A, Joshi N, Zhao X, Zheng G, Bhat M. Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases. Pharmacol Res 2023; 189:106706. [PMID: 36813095 DOI: 10.1016/j.phrs.2023.106706] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/17/2023] [Accepted: 02/19/2023] [Indexed: 02/22/2023]
Abstract
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of algorithms in the cancer setting. A growing body of recent studies have evaluated machine learning (ML) and deep learning (DL) algorithms for pre-screening, diagnosis and management of liver cancer patients through diagnostic image analysis, biomarker discovery and predicting personalized clinical outcomes. Despite the promise of these early AI tools, there is a significant need to explain the 'black box' of AI and work towards deployment to enable ultimate clinical translatability. Certain emerging fields such as RNA nanomedicine for targeted liver cancer therapy may also benefit from application of AI, specifically in nano-formulation research and development given that they are still largely reliant on lengthy trial-and-error experiments. In this paper, we put forward the current landscape of AI in liver cancers along with the challenges of AI in liver cancer diagnosis and management. Finally, we have discussed the future perspectives of AI application in liver cancer and how a multidisciplinary approach using AI in nanomedicine could accelerate the transition of personalized liver cancer medicine from bench side to the clinic.
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Affiliation(s)
- Anita Bakrania
- Toronto General Hospital Research Institute, Toronto, ON, Canada; Ajmera Transplant Program, University Health Network, Toronto, ON, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
| | | | - Xun Zhao
- Toronto General Hospital Research Institute, Toronto, ON, Canada; Ajmera Transplant Program, University Health Network, Toronto, ON, Canada
| | - Gang Zheng
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Mamatha Bhat
- Toronto General Hospital Research Institute, Toronto, ON, Canada; Ajmera Transplant Program, University Health Network, Toronto, ON, Canada; Division of Gastroenterology, Department of Medicine, University Health Network and University of Toronto, Toronto, ON, Canada; Department of Medical Sciences, Toronto, ON, Canada.
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Candita G, Rossi S, Cwiklinska K, Fanni SC, Cioni D, Lencioni R, Neri E. Imaging Diagnosis of Hepatocellular Carcinoma: A State-of-the-Art Review. Diagnostics (Basel) 2023; 13:diagnostics13040625. [PMID: 36832113 PMCID: PMC9955560 DOI: 10.3390/diagnostics13040625] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/04/2023] [Accepted: 02/06/2023] [Indexed: 02/10/2023] Open
Abstract
Hepatocellular carcinoma (HCC) remains not only a cause of a considerable part of oncologic mortality, but also a diagnostic and therapeutic challenge for healthcare systems worldwide. Early detection of the disease and consequential adequate therapy are imperative to increase patients' quality of life and survival. Imaging plays, therefore, a crucial role in the surveillance of patients at risk, the detection and diagnosis of HCC nodules, as well as in the follow-up post-treatment. The unique imaging characteristics of HCC lesions, deriving mainly from the assessment of their vascularity on contrast-enhanced computed tomography (CT), magnetic resonance (MR) or contrast-enhanced ultrasound (CEUS), allow for a more accurate, noninvasive diagnosis and staging. The role of imaging in the management of HCC has further expanded beyond the plain confirmation of a suspected diagnosis due to the introduction of ultrasound and hepatobiliary MRI contrast agents, which allow for the detection of hepatocarcinogenesis even at an early stage. Moreover, the recent technological advancements in artificial intelligence (AI) in radiology contribute an important tool for the diagnostic prediction, prognosis and evaluation of treatment response in the clinical course of the disease. This review presents current imaging modalities and their central role in the management of patients at risk and with HCC.
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Chartampilas E, Rafailidis V, Georgopoulou V, Kalarakis G, Hatzidakis A, Prassopoulos P. Current Imaging Diagnosis of Hepatocellular Carcinoma. Cancers (Basel) 2022; 14:cancers14163997. [PMID: 36010991 PMCID: PMC9406360 DOI: 10.3390/cancers14163997] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 08/10/2022] [Accepted: 08/15/2022] [Indexed: 11/23/2022] Open
Abstract
Simple Summary The role of imaging in the management of hepatocellular carcinoma (HCC) has significantly evolved and expanded beyond the plain radiological confirmation of the tumor based on the typical appearance in a multiphase contrast-enhanced CT or MRI examination. The introduction of hepatobiliary contrast agents has enabled the diagnosis of hepatocarcinogenesis at earlier stages, while the application of ultrasound contrast agents has drastically upgraded the role of ultrasound in the diagnostic algorithms. Newer quantitative techniques assessing blood perfusion on CT and MRI not only allow earlier diagnosis and confident differentiation from other lesions, but they also provide biomarkers for the evaluation of treatment response. As distinct HCC subtypes are identified, their correlation with specific imaging features holds great promise for estimating tumor aggressiveness and prognosis. This review presents the current role of imaging and underlines its critical role in the successful management of patients with HCC. Abstract Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer related death worldwide. Radiology has traditionally played a central role in HCC management, ranging from screening of high-risk patients to non-invasive diagnosis, as well as the evaluation of treatment response and post-treatment follow-up. From liver ultrasonography with or without contrast to dynamic multiple phased CT and dynamic MRI with diffusion protocols, great progress has been achieved in the last decade. Throughout the last few years, pathological, biological, genetic, and immune-chemical analyses have revealed several tumoral subtypes with diverse biological behavior, highlighting the need for the re-evaluation of established radiological methods. Considering these changes, novel methods that provide functional and quantitative parameters in addition to morphological information are increasingly incorporated into modern diagnostic protocols for HCC. In this way, differential diagnosis became even more challenging throughout the last few years. Use of liver specific contrast agents, as well as CT/MRI perfusion techniques, seem to not only allow earlier detection and more accurate characterization of HCC lesions, but also make it possible to predict response to treatment and survival. Nevertheless, several limitations and technical considerations still exist. This review will describe and discuss all these imaging modalities and their advances in the imaging of HCC lesions in cirrhotic and non-cirrhotic livers. Sensitivity and specificity rates, method limitations, and technical considerations will be discussed.
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Affiliation(s)
- Evangelos Chartampilas
- Radiology Department, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
- Correspondence:
| | - Vasileios Rafailidis
- Radiology Department, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
| | - Vivian Georgopoulou
- Radiology Department, Ippokratio General Hospital of Thessaloniki, 54642 Thessaloniki, Greece
| | - Georgios Kalarakis
- Department of Diagnostic Radiology, Karolinska University Hospital, 14152 Stockholm, Sweden
- Department of Clinical Science, Division of Radiology, Intervention and Technology (CLINTEC), Karolinska Institutet, 14152 Stockholm, Sweden
- Department of Radiology, Medical School, University of Crete, 71500 Heraklion, Greece
| | - Adam Hatzidakis
- Radiology Department, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
| | - Panos Prassopoulos
- Radiology Department, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
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Gaeta M, Cavallaro M, Vinci SL, Mormina E, Blandino A, Marino MA, Granata F, Tessitore A, Galletta K, D'Angelo T, Visalli C. Magnetism of materials: theory and practice in magnetic resonance imaging. Insights Imaging 2021; 12:179. [PMID: 34862955 PMCID: PMC8643382 DOI: 10.1186/s13244-021-01125-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 11/08/2021] [Indexed: 02/03/2023] Open
Abstract
All substances exert magnetic properties in some extent when placed in an external magnetic field. Magnetic susceptibility represents a measure of the magnitude of magnetization of a certain substance when the external magnetic field is applied. Depending on the tendency to be repelled or attracted by the magnetic field and in the latter case on the magnitude of this effect, materials can be classified as diamagnetic or paramagnetic, superparamagnetic and ferromagnetic, respectively. Knowledge of type and extent of susceptibility of common endogenous and exogenous substances and how their magnetic properties affect the conventional sequences used in magnetic resonance imaging (MRI) can help recognize them and exalt or minimize their presence in the acquired images, so as to improve diagnosis in a wide variety of benign and malignant diseases. Furthermore, in the context of diamagnetic susceptibility, chemical shift imaging enables to assess the intra-voxel ratio between water and fat content, analyzing the tissue composition of various organs and allowing a precise fat quantification. The following article reviews the fundamental physical principles of magnetic susceptibility and examines the magnetic properties of the principal endogenous and exogenous substances of interest in MRI, providing potential through representative cases for improved diagnosis in daily clinical routine.
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Affiliation(s)
- Michele Gaeta
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Marco Cavallaro
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Sergio Lucio Vinci
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Enricomaria Mormina
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy.
| | - Alfredo Blandino
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Maria Adele Marino
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Francesca Granata
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Agostino Tessitore
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Karol Galletta
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
| | - Carmela Visalli
- Department of Biomedical Sciences and Morphological and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy
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Hepatocellular carcinoma. Nat Rev Dis Primers 2021. [DOI: 10.1038/s41572-020-00240-3 order by 1-- #] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Llovet JM, Kelley RK, Villanueva A, Singal AG, Pikarsky E, Roayaie S, Lencioni R, Koike K, Zucman-Rossi J, Finn RS. Hepatocellular carcinoma. Nat Rev Dis Primers 2021; 7:6. [PMID: 33479224 DOI: 10.1038/s41572-020-00240-3] [Citation(s) in RCA: 3485] [Impact Index Per Article: 871.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/08/2020] [Indexed: 02/07/2023]
Abstract
Liver cancer remains a global health challenge, with an estimated incidence of >1 million cases by 2025. Hepatocellular carcinoma (HCC) is the most common form of liver cancer and accounts for ~90% of cases. Infection by hepatitis B virus and hepatitis C virus are the main risk factors for HCC development, although non-alcoholic steatohepatitis associated with metabolic syndrome or diabetes mellitus is becoming a more frequent risk factor in the West. Moreover, non-alcoholic steatohepatitis-associated HCC has a unique molecular pathogenesis. Approximately 25% of all HCCs present with potentially actionable mutations, which are yet to be translated into the clinical practice. Diagnosis based upon non-invasive criteria is currently challenged by the need for molecular information that requires tissue or liquid biopsies. The current major advancements have impacted the management of patients with advanced HCC. Six systemic therapies have been approved based on phase III trials (atezolizumab plus bevacizumab, sorafenib, lenvatinib, regorafenib, cabozantinib and ramucirumab) and three additional therapies have obtained accelerated FDA approval owing to evidence of efficacy. New trials are exploring combination therapies, including checkpoint inhibitors and tyrosine kinase inhibitors or anti-VEGF therapies, or even combinations of two immunotherapy regimens. The outcomes of these trials are expected to change the landscape of HCC management at all evolutionary stages.
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Affiliation(s)
- Josep M Llovet
- Mount Sinai Liver Cancer Program, Division of Liver Diseases, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Translational Research in Hepatic Oncology, Liver Unit, IDIBAPS, Hospital Clinic, University of Barcelona, Catalonia, Spain. .,Institució Catalana d'Estudis Avançats (ICREA), Barcelona, Catalonia, Spain.
| | - Robin Kate Kelley
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco (UCSF), San Francisco, CA, USA
| | - Augusto Villanueva
- Mount Sinai Liver Cancer Program, Division of Liver Diseases, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amit G Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Eli Pikarsky
- The Lautenberg Center for Immunology and Cancer Research, IMRIC, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Sasan Roayaie
- White Plains Hospital Center for Cancer Care, Montefiore Health, White Plains, NY, USA
| | - Riccardo Lencioni
- Department of Radiology, Pisa University School of Medicine, Pisa, Italy.,Department of Radiology, Miami Cancer Insitute, Miami, FL, USA
| | - Kazuhiko Koike
- The University of Tokyo, Department of Gastroenterology, Tokyo, Japan
| | - Jessica Zucman-Rossi
- Centre de Recherche des Cordeliers, Sorbonne Université, Inserm, USPC, Université Paris Descartes, Université Paris Diderot, Paris, France.,Hôpital Européen Georges Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Richard S Finn
- Department of Oncology, Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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12
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Hepatocellular carcinoma. Nat Rev Dis Primers 2021. [DOI: 10.1038/s41572-020-00240-3 order by 1-- -] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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13
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Hepatocellular carcinoma. Nat Rev Dis Primers 2021. [DOI: 10.1038/s41572-020-00240-3 and 1880=1880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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14
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Hepatocellular carcinoma. Nat Rev Dis Primers 2021. [DOI: 10.1038/s41572-020-00240-3 order by 1-- gadu] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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15
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Ma J, Tian K, Du J, Wu Z, Wang L, Zhang J. High expression of survivin independently correlates with tumor progression and mortality in patients with skull base chordomas. J Neurosurg 2020; 132:140-149. [PMID: 30641849 DOI: 10.3171/2018.8.jns181580] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 08/14/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The object of this study was to clarify the expression characteristics and prognostic value of survivin in skull base chordomas. METHODS In this retrospective study, the authors measured the expression of survivin at the mRNA level in 81 samples from 71 patients diagnosed with skull base chordomas at their hospital in the period from July 2005 to January 2015. Clinical data collection, follow-up, and survival analyses were performed, and correlations were analyzed. RESULTS Of the 71 patients, 50 had primary chordomas with a mean survivin expression level of 1.09; the other 21 patients had recurrent chordomas with a mean survivin expression level of 2.57, which was 2.36 times higher than the level in the primary chordoma patients (p < 0.001, Mann-Whitney U-test). In addition, an analysis of 18 paired samples derived from 9 patients showed that the expression level of survivin was 2.62 times higher in recurrent tumors than in primary tumors (p = 0.002, paired t-test). The Spearman rank correlation coefficient method showed that the expression level of survivin was positively correlated with the mean ratio of tumor signal intensity to the signal intensity of surrounding brainstem on T1-weighted sequences (RT1; rs = 0.274, p = 0.021) and was negatively correlated with the mean ratio of tumor signal intensity to the signal intensity of surrounding brainstem on T2-weighted sequences (RT2; rs = -0.389, p = 0.001). A multivariate Cox proportional-hazards model suggested that pathology (p = 0.041), survivin expression level (p = 0.018), preoperative Karnofsky Performance Status (KPS; p = 0.012), and treatment history (p = 0.009) were independent prognostic factors for tumor progression. Survivin expression level (p = 0.008), preoperative KPS (p = 0.019), tumor diameter (p = 0.027), and intraoperative blood loss (p = 0.015) were independent prognostic factors for death. CONCLUSIONS Survivin expression level and preoperative KPS were independent significant prognostic factors for tumor progression and death in skull base chordoma patients. Recurrent skull base chordomas and chordomas with high RT1 and low RT2 were likely to have high survivin expression. Other independent risk factors related to tumor progression included conventional pathology and treatment history, whereas additional mortality-related risk factors included larger tumor diameter and greater intraoperative blood loss.
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Affiliation(s)
- Junpeng Ma
- 1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University
- 3China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Kaibing Tian
- 1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University
- 3China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Jiang Du
- 2Department of Neuropathology, Beijing Neurosurgical Institute, Capital Medical University; and
- 3China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Zhen Wu
- 1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University
- 3China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Liang Wang
- 1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University
- 3China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Junting Zhang
- 1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University
- 3China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
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16
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Liu Y, Lu T, Wang C, Li H, Xu K, Li P. Intravital assessment of angioarchitecture in rat hepatocellular nodules using in vivo fluorescent microscopy. Quant Imaging Med Surg 2019; 9:1047-1055. [PMID: 31367558 DOI: 10.21037/qims.2019.06.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background To prospectively evaluate the stepwise changes that occur in intra-nodular microvessels and microcirculation during the carcinogenesis process of hepatocellular nodules by using in vivo fluorescent microscopy, and to compare these with pathological changes. Methods Forty-five 10-week-old male Wistar rats received drinking water containing N-nitrosomorpholine at 10 mg/100 mL for 18weeks to develop multiple hepatocellular carcinomas (HCC) and dysplastic nodules (DN) in the liver; meanwhile, the non-lesion liver tissues become fibrotic. The microvascular morphological change and hemodynamic change of two lesion areas (HCC or DN) and one non-lesion area in each rat were observed with in vivo fluorescent microscope. After in vivo microscopy, 90 nodules and 45 non-lesion liver tissues that were observed were removed for pathological study. The microvessel density (MVD), branch density (BD), and cell density (CD) of these lesions were compared with the Kruskal-Wallis test and Mann-Whitney test, with an overall statistical significance of 0.05. Results The intra-nodular microvessels appeared tortuous, with irregular branching and abrupt diameter changes to form irregular convoluted networks in the HCC. This was distinctly different from the appearance of DN and non-lesion liver parenchyma. The MVD and BD of HCC were less than that of the DN and non-lesion liver parenchyma (P<0.01), and the BD of DN was also less than that of the non-lesion liver parenchyma (P<0.05). However, the MVD of the DN was similar to that of the non-lesion liver parenchyma (P>0.05). The CD of HCC was more than that of the DN and non-lesion liver parenchyma (P<0.05), and the CD of DN was also more than that of the non-lesion liver parenchyma (P<0.05). Conclusions Concurrent with the carcinogenesis process of the hepatocellular nodule, both the intra-nodular microvascular morphology and hemodynamics were stepwise changed, and the number of the intravascular lumen of intranodular microvessels decreased due to the infiltration and compression of intra-nodular parenchymal cells.
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Affiliation(s)
- Yi Liu
- Department of Radiology, The First Clinical Hospital of China Medical University, Shenyang 110001, China
| | - Tao Lu
- Department of Radiology, The First Clinical Hospital of China Medical University, Shenyang 110001, China
| | - Congcong Wang
- Department of Radiology, The First Clinical Hospital of China Medical University, Shenyang 110001, China
| | - Hui Li
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Ke Xu
- Department of Radiology, The First Clinical Hospital of China Medical University, Shenyang 110001, China
| | - Peiling Li
- Department of Radiology, The First Clinical Hospital of China Medical University, Shenyang 110001, 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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18
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Moon JY, Kim SH, Choi SY, Hwang JA, Lee JE, Lee J. Differentiating malignant from benign hyperintense nodules on unenhanced T1-weighted images in patients with chronic liver disease: using gadoxetic acid-enhanced and diffusion-weighted MR imaging. Jpn J Radiol 2018; 36:489-499. [PMID: 29876721 DOI: 10.1007/s11604-018-0748-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 05/28/2018] [Indexed: 01/04/2023]
Abstract
PURPOSE To evaluate value of gadoxetic acid-enhanced and diffusion-weighted (DW) MRI for distinguishing malignant from benign hyperintense nodules on unenhanced T1-weighted images (T1WIs) in patients with chronic liver disease. MATERIALS AND METHODS Forty-two patients with 37 malignant and 41 benign hyperintense nodules on unenhanced T1WIs who underwent gadoxetic acid-enhanced and DW MRI, followed by histopathological examination, were included. Qualitative and quantitative analyses were conducted. Significant findings on univariate and multivariate analyses were identified and their diagnostic performances were analyzed for predicting hyperintense hepatocellular carcinomas (HCCs). RESULTS In univariate analysis, hyperintensity on T2WI, arterial enhancement, washout, hypointensity on hepatobiliary phase, and diffusion restriction were more frequently observed (P < 0.05) in hyperintense HCCs. Tumor-to-liver SI ratio on hepatobiliary phase and minimum apparent diffusion coefficient (ADCmin) were significantly lower in hyperintense HCCs (P < 0.05). In multivariate analysis, hyperintensity on T2WI (OR, 13.58; P = 0.02), arterial enhancement (OR, 8.21; P = 0.002), and ADCmin ≤ 0.83 × 10-3 mm2/s (OR, 6.88; P = 0.008) were independently significant factors for predicting hyperintense HCCs. When two of three criteria were combined, 75.7% (28/37) of hyperintense HCCs were identified with a specificity of 92.7%, and when all three criteria were satisfied, the specificity was 97.6%. CONCLUSION Gadoxetic acid-enhanced and DW MRI may be helpful for differentiating malignant from benign hyperintense nodules on unenhanced T1WI.
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Affiliation(s)
- Ji Yoon Moon
- Department of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150 Seongan-ro Gangdong-Gu, Seoul, 134-701, South Korea
| | - Seong Hyun Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 135-710, South Korea.
| | - Seo-Youn Choi
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Kyunggi-do, South Korea
| | - Jeong Ah Hwang
- Department of Radiology, Soonchunhyang University Cheonan Hospital, Cheonan, Chungcheongnam-do, South Korea
| | - Ji Eun Lee
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Kyunggi-do, South Korea
| | - Jisun Lee
- Department of Radiology, Chungbuk National University Hospital, 776, 1 Sunhwan-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do, South Korea
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19
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Taron J, Johannink J, Bitzer M, Nikolaou K, Notohamiprodjo M, Hoffmann R. Added value of diffusion-weighted imaging in hepatic tumors and its impact on patient management. Cancer Imaging 2018. [PMID: 29514710 PMCID: PMC5842618 DOI: 10.1186/s40644-018-0140-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background To investigate the added diagnostic value of diffusion-weighted imaging (DWI) of the liver and its impact on therapy decisions in patients with hepatic malignancy. Methods Interdisciplinary gastrointestinal tumorboard cases concerning patients with hepatic malignancies discussed between 11/2015 and 06/2016 were included in this retrospective, single-center study. Two radiologists independently reviewed the respective liver MR-examination first without, then with DWI. The readers were blinded regarding number, position and size of hepatic malignancies. Cases in which DWI revealed additional findings concerning the hepatic tumor status as compared to conventional sequences alone were presented to experienced members of the interdisciplinary tumor board. In this retrospective setting changes in treatment decisions based on these additional findings in the DWI sequences were recorded. Results A total of 87 patients were included. DWI revealed additional findings in 12 patients (13,8%). These new findings had a direct effect on the therapy in 8 patients (9,2%): In 6 patients (6,9%) the surgical/interventional treatment was adapted (n = 5: extended resection, n = 1: with transarterial chemoembolization of a single hepatocellular carcinoma only detectable in DWI); 2 patients (2,3%) received systemic therapy (n = 1: neo-adjuvant, n = 1: palliative) based on the additional findings in DWI. In 4 patients (4.6%) additional DWI findings did not affect the therapeutic decision. Conclusions DWI is a relevant diagnostic tool in oncologic imaging of the liver. By providing further information regarding tumor load in hepatic malignancies it can lead to a significant change in treatment.
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Affiliation(s)
- Jana Taron
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Str. 3, 72076, Tuebingen, Germany
| | - Jonas Johannink
- Department of Visceral Surgery, University Hospital of Tuebingen, Tuebingen, Germany
| | - Michael Bitzer
- Department of Internal Medicine, University Hospital of Tuebingen, Tuebingen, Germany
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Str. 3, 72076, Tuebingen, Germany
| | - Mike Notohamiprodjo
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Str. 3, 72076, Tuebingen, Germany.
| | - Rüdiger Hoffmann
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Str. 3, 72076, Tuebingen, Germany
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Kambadakone AR, Fung A, Gupta RT, Hope TA, Fowler KJ, Lyshchik A, Ganesan K, Yaghmai V, Guimaraes AR, Sahani DV, Miller FH. LI-RADS technical requirements for CT, MRI, and contrast-enhanced ultrasound. Abdom Radiol (NY) 2018; 43:56-74. [PMID: 28940042 DOI: 10.1007/s00261-017-1325-y] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Accurate detection and characterization of liver observations to enable HCC diagnosis and staging using LI-RADS requires a technically adequate imaging exam. To help achieve this objective, LI-RADS has proposed technical requirements for CT, MR, and contrast-enhanced ultrasound of liver. This article reviews the technical requirements for liver imaging, including the description of minimum acceptable technical standards, such as the scanner hardware requirements, recommended dynamic imaging phases, and common technical challenges of liver imaging.
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Affiliation(s)
- Avinash R Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA.
| | - Alice Fung
- Department of Diagnostic Radiology, Oregon Health and Science University, Portland, OR, USA
| | - Rajan T Gupta
- Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Thomas A Hope
- Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Kathryn J Fowler
- Department of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Andrej Lyshchik
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Karthik Ganesan
- Department of Radiology, Sir HN Reliance Foundation Hospital and Research Centre, Mumbai, India
| | - Vahid Yaghmai
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alexander R Guimaraes
- Department of Diagnostic Radiology, Oregon Health and Science University, Portland, OR, USA
| | - Dushyant V Sahani
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
| | - Frank H Miller
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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21
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Tian K, Wang L, Ma J, Wang K, Li D, Du J, Jia G, Wu Z, Zhang J. MR Imaging Grading System for Skull Base Chordoma. AJNR Am J Neuroradiol 2017; 38:1206-1211. [PMID: 28428207 DOI: 10.3174/ajnr.a5152] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 01/22/2017] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE Skull base chordoma has been widely studied in recent years, however, imaging characteristics of this tumor have not been well elaborated. The purpose of this study was to establish an MR imaging grading system for skull base chordoma. MATERIALS AND METHODS In this study, 156 patients with skull base chordomas were retrospectively assessed. Tumor-to-pons signal intensity ratios were calculated from pretreatment MR images RT1 (ratio of tumor to pons signal intensity in T1 FLAIR sequence), RT2 (ratio of tumor to pons signal intensity in T2 sequence) and REN (ratio of tumor to pons signal intensity in enhanced T1 FLAIR sequence), and significant ratios for overall survival and progression-free survival were selected to establish a grading system. Clinical variables among different MR imaging grades were then analyzed to evaluate the usefulness of the grading system. RESULTS RT2 (P < .001) and REN (P = .04) were identified as significant variables affecting progression-free survival. After analysis, the classification criteria were set as follows: MR grade I, RT2 > 2.49 and REN ≤ 0.77; MR grade II, RT2 > 2.49 and REN > 0.77, or RT2 ≤ 2.49 and REN ≤ 0.77; and MR grade III, RT2 ≤ 2.49 and REN > 0.77. MR grade III tumors had a more abundant tumor blood supply than MR grade I tumors (P < .001), and the intraoperative blood loss of MR grade III tumors was higher than that of MR grade I tumors (P = .002). Additionally, skull base chordoma progression risk increased by 2.071 times for every single MR grade increase (P < .001). CONCLUSIONS A higher RT2 value was a negative indicator of tumor progression, whereas a higher REN value was a positive risk factor of tumor progression. MR grade III tumors showed a more abundant blood supply than MR grade I tumors, and the risk of skull base chordoma progression increased with every single MR grade increase.
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Affiliation(s)
- K Tian
- From the Department of Neurosurgery (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China.,Center of Brain Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Brian Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China
| | - L Wang
- From the Department of Neurosurgery (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China .,China National Clinical Research Center for Neurological Diseases (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China.,Center of Brain Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Brian Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China
| | - J Ma
- From the Department of Neurosurgery (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China.,Center of Brain Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Brian Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China
| | - K Wang
- From the Department of Neurosurgery (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China.,Center of Brain Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Brian Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China
| | - D Li
- From the Department of Neurosurgery (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China.,Center of Brain Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Brian Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China
| | - J Du
- Department of Neuropathology (J.D), Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (J.D.), Center of Brain Tumor, Beijing, China.,Institute for Brain Disorders (J.D.), Beijing Key Laboratory of Brain Tumor, Beijing, China
| | - G Jia
- From the Department of Neurosurgery (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China.,Center of Brain Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Brian Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China
| | - Z Wu
- From the Department of Neurosurgery (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China.,Center of Brain Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Brian Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China
| | - J Zhang
- From the Department of Neurosurgery (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China .,China National Clinical Research Center for Neurological Diseases (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China.,Center of Brain Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Brian Tumor (K.T., L.W., J.M., K.W., D.L., G.J., Z.W., J.Z.), Beijing, China
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MRI of Small Hepatocellular Carcinoma: Typical Features Are Less Frequent Below a Size Cutoff of 1.5 cm. AJR Am J Roentgenol 2016; 208:544-551. [PMID: 28026208 DOI: 10.2214/ajr.16.16414] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE The purposes of this study were to analyze MRI features of small hepatocellular carcinomas (HCCs) on the basis of size and to evaluate the difference in frequency of typical radiologic hallmarks of HCC (arterial enhancement and washout) according to the tumor size. MATERIALS AND METHODS Enrolled were 86 patients with 110 HCCs 3 cm or smaller who underwent surgical resection or transplantation. Two radiologists reviewed gadoxetic acid-enhanced MRI features for signal intensity of T2-weighted and T1-weighted imaging, diffusion restriction, presence of arterial enhancement, washout on portal and transitional phases, and signal intensity on the hepatobiliary phase. ROC curve analysis was performed to determine the optimal HCC cutoff size for radiologic hallmarks of HCC. Tumors were divided into two groups by cutoff size, and the frequencies of MRI features were assessed. RESULTS On ROC analysis, the optimal cutoff for radiologic hallmarks of HCC was 1.5 cm in independent and consensus reviews by two radiologists. HCCs smaller than 1.5 cm showed typical finding of HCC less frequently than HCCs 1.5 cm or larger in diameter. In subgroup analyses, HCCs with diameters between 1 and 1.5 cm showed similar MRI findings to HCCs with diameters 1 cm or less but significantly different findings compared with HCCs with diameters from 1.5 to 2 cm and 2-3 cm. CONCLUSION HCCs smaller than 1.5 cm in size less frequently showed MRI findings seen typically in larger HCCs. Therefore, small HCCs are harder to detect with certainty not only because of small size but also because of the lower frequency of typical MRI findings.
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Debees NL, Sherif MF, Yones SG, Ahmad AH. Assessment of hepatic focal lesions on top of cirrhotic liver using dynamic and diffusion weighted magnetic resonance imaging. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2016. [DOI: 10.1016/j.ejrnm.2016.07.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
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Shankar S, Kalra N, Bhatia A, Srinivasan R, Singh P, Dhiman RK, Khandelwal N, Chawla Y. Role of Diffusion Weighted Imaging (DWI) for Hepatocellular Carcinoma (HCC) Detection and its Grading on 3T MRI: A Prospective Study. J Clin Exp Hepatol 2016; 6:303-310. [PMID: 28003720 PMCID: PMC5157886 DOI: 10.1016/j.jceh.2016.08.012] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2016] [Accepted: 08/25/2016] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Limited studies have evaluated the role of diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) for histologically grading the hepatocellular carcinoma (HCC). OBJECTIVE To compare the efficacy of DWI with dynamic contrast enhanced magnetic resonance (DCEMR) in detection of HCC in cirrhosis, and to evaluate whether DWI can be used instead of DCEMR. METHODS 20 patients of either sex with cirrhosis and suspected of having HCC on screening USG were included in this prospective study approved by the Institutional Ethics Committee. All patients underwent DCEMR of the abdomen on 3T scanner and fine needle aspiration of the lesions. MR protocol included T1WI, T2WI, DWI, and dynamic CEMR. The results of diffusion weighted imaging were compared with DCEMR to find the efficacy of DWI vis-à-vis CEMR. RESULTS DWI had a sensitivity and specificity of 100%, for diagnosis of lesions in cases having single lesion on CEMR, and sensitivity of 75% and specificity of 100% for diagnosis of lesions in cases having multiple lesions. There was a decreasing trend of ADC values with increasing grade of the tumor; however, the decreasing trend was not statistically significant. A cut-off ADC value of 0.8705 resulted in a sensitivity of 75% and specificity of 50% for differentiating between well-differentiated and other grades of HCC. CONCLUSION DWI can be used as an alternative for the detection and characterization of HCC, especially in patients with impaired renal function or contrast allergies precluding the use of contrast. In addition, DWI with ADC measurement may be helpful for non-invasive and preoperative prediction of the degree of differentiation of HCC.
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Affiliation(s)
- Shiva Shankar
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India
| | - Naveen Kalra
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India
- Address for correspondence: Dr. Naveen Kalra, Professor, Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India. Fax: +91 172 2744401.Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and ResearchSector-12Chandigarh160012India
| | - Anmol Bhatia
- Department of Gastroenterology, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India
| | - Radhika Srinivasan
- Department of Cytology and Gynaecological Pathology, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India
| | - Paramjeet Singh
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India
| | - Radha K. Dhiman
- Department of Hepatology, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India
| | - Niranjan Khandelwal
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India
| | - Yogesh Chawla
- Department of Hepatology, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India
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Grözinger G, Bitzer M, Syha R, Ketelsen D, Nikolaou K, Lauer U, Horger M. Correlation of magnetic resonance signal characteristics and perfusion parameters assessed by volume perfusion computed tomography in hepatocellular carcinoma: Impact on lesion characterization. World J Radiol 2016; 8:683-692. [PMID: 27551338 PMCID: PMC4965352 DOI: 10.4329/wjr.v8.i7.683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 03/14/2016] [Accepted: 05/11/2016] [Indexed: 02/06/2023] Open
Abstract
AIM: To find out if magnetic resonance (MR)-signal characteristics of hepatocellular carcinomas (HCC) correlate with perfusion parameters assessed by volume perfusion computed tomography (VPCT).
METHODS: From October 2009 to January 2014, 26 (mean age, 69.3 years) patients with 36 HCC lesions who underwent both VPCT and MR liver imaging were analysed. We compared signal intensity in the T1w- and T2w-images and wash-in/wash-out kinetics on post-contrast MR images with mean values of blood flow (BF, mL/100 mL per minute), blood volume (BV, mL/100 mL), k-trans (mL/100 mL per minute), arterial liver perfusion (mL/100 mL per minute), portal venous perfusion and hepatic perfusion index (HPI, %) obtained by VPCT. Signal intensity on magnetic resonance imaging (MRI) was classified hyper/iso/hypointense compared with surrounding liver parenchyma.
RESULTS: Signal intensity on native T1w- and T2w-images was hyper/iso/hypo in 4/16/16 and 21/14/1 lesions, respectively. Wash-in and wash-out contrast kinetics were found on MRI in 33 of 36 lesions (91.7%) and 25 of 36 lesions (69.4%), respectively. The latter was observed significantly more often in higher graded lesions (P < 0.005). HPI was 94.7% ± 6.5%. There was no significant relationship between lesion’s MR-signal intensity, MR signal combinations, size and any of the VPCT-perfusion parameters. However HPI was constantly high in all HCC lesions.
CONCLUSION: VPCT parameters add limited value to MR-lesion characterization. However in HCC lesions with atypical MR signal characteristics HPI can add a parameter to ensure HCC diagnosis.
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Kitoh Y. [5. Inspection of Hepatocellular Carcinoma 3-Contrast for the Diagnosis of Hepatocellular Carcinoma: Techniques of Image Contrast and the Choice of MR Contrast Agent]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2016; 72:441-451. [PMID: 27211090 DOI: 10.6009/jjrt.2016_jsrt_72.5.441] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
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Contrast Enhanced MRI in the Diagnosis of HCC. Diagnostics (Basel) 2015; 5:383-98. [PMID: 26854161 PMCID: PMC4665604 DOI: 10.3390/diagnostics5030383] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 08/22/2015] [Accepted: 08/28/2015] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the 6th most common cancer worldwide. Imaging plays a critical role in HCC screening and diagnosis. Initial screening of patients at risk for HCC is performed with ultrasound. Confirmation of HCC can then be obtained by Computed Tomography (CT) or Magnetic Resonance Imaging (MRI), due to the relatively high specificity of both techniques. This article will focus on reviewing MRI techniques for imaging HCC, felt by many to be the exam of choice for HCC diagnosis. MRI relies heavily upon the use of gadolinium-based contrast agents and while primarily extracellular gadolinium-based contrast agents are used, there is an emerging role of hepatobiliary contrast agents in HCC imaging. The use of other non-contrast enhanced MRI techniques for assessing HCC will also be discussed and these MRI strategies will be reviewed in the context of the pathophysiology of HCC to help understand the MR imaging appearance of HCC.
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Cho ES, Choi JY. MRI features of hepatocellular carcinoma related to biologic behavior. Korean J Radiol 2015; 16:449-64. [PMID: 25995679 PMCID: PMC4435980 DOI: 10.3348/kjr.2015.16.3.449] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Accepted: 02/23/2015] [Indexed: 12/12/2022] Open
Abstract
Imaging studies including magnetic resonance imaging (MRI) play a crucial role in the diagnosis and staging of hepatocellular carcinoma (HCC). Several recent studies reveal a large number of MRI features related to the prognosis of HCC. In this review, we discuss various MRI features of HCC and their implications for the diagnosis and prognosis as imaging biomarkers. As a whole, the favorable MRI findings of HCC are small size, encapsulation, intralesional fat, high apparent diffusion coefficient (ADC) value, and smooth margins or hyperintensity on the hepatobiliary phase of gadoxetic acid-enhanced MRI. Unfavorable findings include large size, multifocality, low ADC value, non-smooth margins or hypointensity on hepatobiliary phase images. MRI findings are potential imaging biomarkers in patients with HCC.
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Affiliation(s)
- Eun-Suk Cho
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 135-720, Korea
| | - Jin-Young Choi
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul 120-752, Korea
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Kircher A, Bongartz G, Merkle EM, Zech CJ. [Rational imaging of hepatocellular carcinoma. The challenge of multimodal diagnostic criteria]. Radiologe 2015; 54:664-72. [PMID: 25047522 DOI: 10.1007/s00117-014-2652-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
CLINICAL/METHODICAL ISSUE Both computed tomography (CT) and magnetic resonance imaging (MRI) constitute the gold standard in radiological imaging of hepatocellular carcinoma (HCC). In cases of typical contrast behavior each modality as a single dynamic technique allows the diagnosis of HCC. There is still a challenge in detection of small HCCs < 2 cm, in differentiating HCC and high-grade dysplasia from other benign liver lesions as well as the evaluation of hypovascular liver lesions in the cirrhotic liver. PERFORMANCE Nowadays, both modalities achieve high detection rates of 90-100 % for lesions > 2 cm. Regarding lesions between 1 and 2 cm there is a higher sensitivity for MRI ranging between 80 and 90 % compared to 60-75 % with CT. Besides the multimodal diagnostic criteria, MRI provides significant benefits with the use of hepatobiliary contrast. Especially in combination with diffusion- weighted imaging (DWI) increased sensitivity and diagnostic accuracy compared to CT has been described for lesions sized < 2 cm. Regarding the differentiation from other hepatic nodules in the cirrhotic liver there is strong evidence that the coexistence of arterial enhancement and hypointensity on hepatobiliary imaging is specific for HCC. Moreover, hypointensity on hepatobiliary imaging is associated with a high positive predictive value (PPV) of up to 100 % for the presence of high-grade dysplasia and HCC. ACHIEVEMENTS The use of MRI including hepatobiliary imaging and DWI has to be regarded as the best non-invasive imaging modality for the detection of HCC and for the characterization of nodules in patients with liver cirrhosis. In comparison to CT there are benefits regarding detection of small lesions < 2 cm and evaluation of hypovascular liver lesions in the context of the hepatocarcinogenesis including prognostic values of premalignant lesions. PRACTICAL RECOMMENDATIONS Both MRI and CT provide a high diagnostic performance in evaluation of HCC in liver cirrhosis. With MRI there are considerable advantages regarding the detection rate and specificity. For daily clinical routine, CT offers a fast, reliable and easy available modality with benefits for patients in reduced general state of health and restricted compliance.
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Affiliation(s)
- A Kircher
- Klinik für Radiologie und Nuklearmedizin, Universitätsspital Basel, Petersgraben 4, 4031, Basel, Schweiz
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Jha RC, Zanello PA, Nguyen XM, Pehlivanova M, Johnson LB, Fishbein T, Shetty K. Small hepatocellular carcinoma: MRI findings for predicting tumor growth rates. Acad Radiol 2014; 21:1455-64. [PMID: 25300723 DOI: 10.1016/j.acra.2014.06.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Revised: 06/03/2014] [Accepted: 06/24/2014] [Indexed: 02/07/2023]
Abstract
RATIONALE AND OBJECTIVES Current clinical practice favors imaging rather than biopsy to diagnose hepatocellular carcinoma (HCC). There is a need to better understand tumor biology and aggressiveness of HCC. Our goal is to investigate magnetic resonance imaging (MRI) features of HCC that are associated with faster growth rates (GRs). MATERIALS AND METHODS After approval from institutional review board, a retrospective evaluation was performed of pre-liver transplant patients. Fifty-two patients who developed a >2 cm HCC on serial imaging were included in the study group, with a total of 60 HCCs seen. Precursor foci were identified on serial MRIs before the specific diagnostic features of >2 cm HCC could be made, and GRs and MRI features, including signal on T1- and T2-weighted images (WI), the presence of intralesional steatosis on chemical shift imaging, and enhancement pattern were analyzed. GRs were correlated with imaging features. RESULTS The average GR of precursor lesions to >2 cm HCC was determined to be 0.23 cm/mo (standard deviation [SD], 0.32), with a doubling time of 5.26 months (SD, 5.44). The presence of increased signal intensity (SI) on T2-WI was associated with significantly higher growth (P = .0002), whereas increased intensity on T1-WI at the initial study was associated with a significantly lower GR (P = .0162). Furthermore, lesions with hypervascular enhancement with washout pattern had significantly higher GR (P = .0164). There is no evidence of differences in GRs seen in lesions with steatosis. CONCLUSIONS Small precursor lesions with increased SI on T2-WI and a washout pattern of enhancement are associated with faster GRs, which may suggest more aggressive tumor biology. These features may be helpful in patient management and surveillance for HCC.
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Affiliation(s)
- Reena C Jha
- Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd, NW, Washington, DC 20007.
| | | | - Xai Mai Nguyen
- Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd, NW, Washington, DC 20007
| | - Marieta Pehlivanova
- MedStar Research Institute, Department of Biostatistics and Bioinformatics, Washington DC
| | - Lynt B Johnson
- Department of Surgery, MedStar Georgetown University Hospital, Washington, DC
| | - Thomas Fishbein
- Department of Surgery, MedStar Georgetown University Hospital, Washington, DC
| | - Kirti Shetty
- Department of Surgery, MedStar Georgetown University Hospital, Washington, DC
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Le Moigne F, Boussel L, Haquin A, Bancel B, Ducerf C, Berthezène Y, Rode A. Grading of small hepatocellular carcinomas (≤2 cm): correlation between histology, T2 and diffusion-weighted imaging. Br J Radiol 2014; 87:20130763. [PMID: 25007142 DOI: 10.1259/bjr.20130763] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To evaluate the capacity of diffusion-weighted imaging (DWI) to determine the histological grade of small-sized hepatocellular carcinomas (HCCs) in liver cirrhosis in comparison with T2 weighted imaging. METHODS 51 cirrhotic patients with 63 histologically proven HCCs ≤2 cm underwent abdominal MRI, including DWI (b-values 50, 400 and 800 s mm(-2)) and T2 weighted sequences. HCCs were classified into well-differentiated HCCs (n = 37) and moderately differentiated HCCs (n = 26). Relative contrast ratios (RCRs) between the lesions and the surrounding liver were performed and compared between the two groups for T2 weighted images, each b-value and apparent diffusion coefficients (ADCs). A receiver operating characteristic (ROC) analysis was performed to compare RCRs in T2 and diffusion-weighted images. RESULTS We found significant differences in RCRs between well-differentiated vs moderately differentiated HCCs for b = 50, 400 and 800 s mm(-2) and T2 weighted images (1.35 ± 0.36 vs 1.86 ± 0.62; 1.35 ± 0.38 vs 1.82 ± 0.60; 1.27 ± 0.30 vs 1.74 ± 0.53; 1.14 ± 0.18 vs 1.43 ± 0.28, respectively; p < 0.001), whereas no significant differences were observed in ADC and ADC RCR (1.05 ± 0.19 vs 0.99 ± 0.15 and 1.1 ± 0.22 vs 1.09 ± 0.23; p = 0.16 and p = 0.82, respectively). No significant difference was found in the areas under the ROC curve for RCRs of T2 weighted images and every DWI b-value (p = 0.18). CONCLUSION The RCR measurement performed in DWI 50, 400 and 800 b-values and T2 demonstrated a significant difference between well-differentiated and moderately differentiated small-sized HCCs. Furthermore, no difference was shown by using either ADC or ADC RCR. ADVANCES IN KNOWLEDGE DWI with RCR measurement may be a valuable tool for non-invasively predicting the histological grade of small HCCs.
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Affiliation(s)
- F Le Moigne
- 1 Department of Radiology, Desgenettes Military Teaching Hospital, Lyon, France
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Matsuda M, Tsuda T, Yoshioka S, Murata S, Tanaka H, Hirooka M, Hiasa Y, Mochizuki T. Incidence for progression of hypervascular HCC in hypovascular hepatic nodules showing hyperintensity on gadoxetic acid-enhanced hepatobiliary phase in patients with chronic liver diseases. Jpn J Radiol 2014; 32:405-13. [DOI: 10.1007/s11604-014-0323-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Accepted: 04/19/2014] [Indexed: 01/22/2023]
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Kagen A, Fowler K, Sirlin CB. Insight into hepatocellular carcinoma biology with gadoxetate disodium-enhanced MRI. Hepat Oncol 2014; 1:95-105. [PMID: 30190944 PMCID: PMC6114011 DOI: 10.2217/hep.13.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The current algorithm for the imaging diagnosis of hepatocellular carcinoma accurately detects large, progressed tumors displaying the classical imaging features of arterial hyperenhancement with 'washout' and/or 'capsule' appearance. Liver MRI with the relatively newer hepatobiliary agent, gadoxetate disodium, provides information on hepatocellular function in addition to vascularity, facilitates detection of small progressed tumors, as well as early/vaguely nodular tumors, and shows promise for characterizing hepatocellular carcinoma biology. Prediction of tumor grade, presence of biliary and stem cell markers, microvascular invasion, future hypervascularization and post-treatment recurrence have all been studied with gadoxetate disodium-enhanced MRI with encouraging results. Incorporation of gadoxetate disodium-enhanced MRI into standard diagnostic and management algorithms will likely unfold in the future.
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Affiliation(s)
- Alexander Kagen
- Beth Israel Medical Center, Department of Radiology, 2nd Floor, First Avenue at 16th Street, New York, NY 11231, USA
| | - Kathryn Fowler
- Washington University School of Medicine, 510 S. Kings Highway Boulevard, St Louis, MO 63110, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, San Diego, CA 92013-8226, USA
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Chou CT, Chou JM, Chang TA, Huang SF, Chen CB, Chen YL, Chen RC. Differentiation between dysplastic nodule and early-stage hepatocellular carcinoma: The utility of conventional MR imaging. World J Gastroenterol 2013; 19:7433-7439. [PMID: 24259975 PMCID: PMC3831226 DOI: 10.3748/wjg.v19.i42.7433] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2013] [Revised: 09/03/2013] [Accepted: 09/17/2013] [Indexed: 02/06/2023] Open
Abstract
AIM: To elucidate the variety of ways early-stage hepatocellular carcinoma (HCC) can appear on magnetic resonance (MR) imaging by analyzing T1-weighted, T2-weighted, and gadolinium-enhanced dynamic studies.
METHODS: Seventy-three patients with well-differentiated HCC (wHCC) or dysplastic nodules were retrospectively identified from medical records, and new histological sections were prepared and reviewed. The tumor nodules were categorized into three groups: dysplastic nodule (DN), wHCC compatible with Edmondson-Steiner grade I HCC (w1-HCC), and wHCC compatible with Edmondson-Steiner grade II HCC (w2-HCC). The signal intensity on pre-contrast MR imaging and the enhancing pattern for each tumor were recorded and compared between the three tumor groups.
RESULTS: Among the 73 patients, 14 were diagnosed as having DN, 40 were diagnosed as having w1-HCC, and 19 were diagnosed as having w2-HCC. Hyperintensity measurements on T2-weighted axial images (T2WI) were statistically significant between DNs and wHCC (P = 0.006) and between DN and w1-HCC (P = 0.02). The other imaging features revealed no significant differences between DN and wHCC or between DN and w1-HCC. Hyperintensity on both T1W out-phase imaging (P = 0.007) and arterial enhancement on dynamic study (P = 0.005) showed statistically significant differences between w1-HCC and w2-HCC. The other imaging features revealed no significant differences between w1-HCC and w2-HCC.
CONCLUSION: In the follow-up for a cirrhotic nodule, increased signal intensity on T2WI may be a sign of malignant transformation. Furthermore, a noted loss of hyperintensity on T1WI and the detection of arterial enhancement might indicate further progression of the histological grade.
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Abstract
Magnetic resonance imaging, MRI has more advantages than ultrasound, computed tomography, CT, positron emission tomography, PET, or any other imaging modality in diagnosing focal hepatic masses. With a combination of basic T1 and T2 weighted sequences, diffusion weighted imaging, DWI, and hepatobiliary gadolinium contrast agents, that is gadobenate dimeglumine (Gd-BOPTA) and gadoxetic acid (Gd-EOB), most liver lesions can be adequately diagnosed. Benign lesions, as cyst, hemangioma, focal nodular hyperplasia, FNH or adenoma, can be distinguished from malignant lesions. In a non-cirrhotic liver, the most common malignant lesions are metastases which may be hypovascular or hypervascular. In the cirrhotic liver hepatocellular carcinoma, HCC, is of considerable importance. Besides, intrahepatic cholangiocarcinoma and other less common malignancies has to be assessed. In this review, the techniques and typical MRI features are presented as well as the new algorithm issued by American Association for the Study of the Liver Diseases (AASLD).
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Affiliation(s)
- Nils Albiin
- Division of Radiology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
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Saito K, Moriyasu F, Sugimoto K, Nishio R, Saguchi T, Akata S, Tokuuye K. Histological grade of differentiation of hepatocellular carcinoma: comparison of the efficacy of diffusion-weighted MRI with T2-weighted imaging and angiography-assisted CT. J Med Imaging Radiat Oncol 2012; 56:261-9. [PMID: 22697322 DOI: 10.1111/j.1754-9485.2012.02374.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
INTRODUCTION The purpose of this study is to determine the usefulness of diffusion-weighted imaging (DWI) for evaluating the histological grade of differentiation of hepatocellular carcinoma (HCC) compared with T2-weighted imaging (T2WI) and tumour haemodynamics. METHODS We retrospectively evaluated 32 patients with 42 pathologically confirmed HCC nodules. These patients underwent MRI, CT during arterial portography and CT hepatic arteriography. We evaluated the relationship between the histological grade of differentiation and the apparent diffusion coefficient (ADC) values, conspicuity of tumour on DWI, DWI and T2WI contrast-to-noise (C/N) ratios and tumour haemodynamics. RESULTS There was no correlation between the histological grade of differentiation and the ADC values. The DWI C/N ratio was significantly different among all histological grades, but the T2WI C/N ratio was not. Tumour conspicuity on DWI correlated well with the histological grade of differentiation, but tumour haemodynamics only partially correlated with the histological grade of differentiation. CONCLUSION DWI was useful for evaluating the histological grade of differentiation of HCC.
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Affiliation(s)
- Kazuhiro Saito
- Department of Radiology, Tokyo Medical University, Tokyo, Japan.
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Haradome H, Grazioli L, Morone M, Gambarini S, Kwee TC, Takahara T, Colagrande S. T2-weighted and diffusion-weighted MRI for discriminating benign from malignant focal liver lesions: diagnostic abilities of single versus combined interpretations. J Magn Reson Imaging 2012; 35:1388-96. [PMID: 22246647 DOI: 10.1002/jmri.23573] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2011] [Accepted: 12/07/2011] [Indexed: 12/31/2022] Open
Abstract
PURPOSE To compare the diagnostic accuracies of diffusion-weighted imaging (DWI), T2-weighted imaging (T2WI), and the combination of both sequences in discriminating benign from malignant focal liver lesions (FLLs). MATERIALS AND METHODS In all, 166 patients with 269 FLLs (153 benign and 116 malignant) were retrospectively evaluated. Two abdominal readers visually assessed the DWI, T2WI, and the combined (DWI+T2WI) image sets in an independent and blinded manner. The diagnostic abilities of each image set in discriminating the benign from the malignant FLLs set were compared using a binary logistic regression model. Pathologic results, consensus reading, and follow-up imaging were used as the reference standard. RESULTS The overall characterization accuracy in all lesions of the combined set (80.3%) was significantly higher than those of the T2WI set (68.8%) and DWI set (73.2%) (combined vs. T2WI, P < 0.001; combined vs. DWI, P = 0.001), while there was no significant difference between the T2WI and DWI sets (P = 0.058). All image sets were more accurate in the characterization of malignant FLLs than of benign FLLs (P < 0.001). CONCLUSION T2WI and DWI are complementary in discriminating benign from malignant FLLs; their combination improves diagnostic confidence.
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Affiliation(s)
- Hiroki Haradome
- Department of Radiology, University of Brescia, Spedali Civili di Brescia, Brescia, Italy.
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Kim MJ, Lee M, Choi JY, Park YN. Imaging features of small hepatocellular carcinomas with microvascular invasion on gadoxetic acid-enhanced MR imaging. Eur J Radiol 2011; 81:2507-12. [PMID: 22137613 DOI: 10.1016/j.ejrad.2011.11.014] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2011] [Revised: 11/02/2011] [Accepted: 11/03/2011] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Detection of hepatocellular carcinomas (HCCs) before microvascular invasion (MVI) occurs is important due to the poor outcomes associated with MVI. We retrospectively investigated the imaging features of small HCCs with MVI on gadoxetic acid-enhanced MR imaging. METHODS Fifty patients (40 men and 10 women; mean age, 54 years) with 58 surgically proven small (2 cm or less) HCCs were evaluated by gadoxetic acid-enhanced MRI. Signal intensities on imaging sequences and the presence of the typical dynamic enhancement pattern (arterial enhancement and washout) were assessed. Fisher's exact tests were performed to evaluate the relationships between the presence of MVI, tumor size, and imaging findings. RESULTS None of the 12 small HCCs with diameters of 1cm or less had MVI, while 15 (33%) of the 46 small HCCs with diameters of 1.1-2.0 cm had MVI (p=0.025, Fisher's exact test). Among the small HCCs with diameters of 1.1-2.0 cm, all HCCs with MVI showed the typical dynamic pattern and hyperintensity on T2- and diffusion-weighted images. Most HCCs (54 lesions, 93%) were hypointense on hepatobiliary phase images regardless of the presence of MVI. CONCLUSIONS All small HCCs with MVI showed typical dynamic pattern and hyperintensity on T2-weighted and diffusion-weighted images, while atypical dynamic pattern and size of less than 1cm in diameter may suggest absence of MVI.
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Affiliation(s)
- Myeong-Jin Kim
- Department of Radiology and Research Institute of Radiological Science, Yonsei University Severance Hospital, Seoul, South Korea.
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Rhee H, Kim MJ, Park YN, Choi JS, Kim KS. Gadoxetic acid-enhanced MRI findings of early hepatocellular carcinoma as defined by new histologic criteria. J Magn Reson Imaging 2011; 35:393-8. [PMID: 21990116 DOI: 10.1002/jmri.22828] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2011] [Accepted: 09/06/2011] [Indexed: 12/18/2022] Open
Abstract
PURPOSE To describe the imaging features of early hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced MRI (Gd-EOB-MRI) in comparison with multidetector computed tomography (MDCT) examinations. MATERIALS AND METHODS We analyzed imaging findings of 19 pathologically proven early HCC lesions in 15 patients who underwent both MDCT and Gd-EOB-MRI at 3.0 Tesla (T) units before surgery. MRI included in-phase and out-of-phase T1-weighted dual-echo gradient-recalled-echo sequences, dynamic T1-weighted images before and after bolus injection of gadoxetic acid disodium, fat-saturated T2-weighted fast spin-echo sequences, and T1-weighted hepatobiliary phase images 20 min after contrast injection. Two radiologists retrospectively evaluated the signal intensities and enhancement features on MRI and MDCT. RESULTS None of the lesions displayed arterial enhancement and washout on MDCT. On Gd-EOB-MRI, six (32%) lesions showed T2-hyperintensity, five (26%) lesions showed signal drop on opposed-phase. Three lesions (16%) showed arterial enhancement and washout. Twelve (63%), 13 (68%), and 15 (79%) lesions were hypointense on hepatic venous, equilibrium, and hepatobiliary phase, respectively. CONCLUSION Most early HCCs did not show arterial enhancement and washout pattern on both MDCT and Gd-EOB-MRI. Gd-EOB-MRI may provide several ancillary findings for diagnosis of early HCC such as decreased hepatobiliary uptake, T2 hyperintensity and signal drop in opposed phase.
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Affiliation(s)
- Hyungjin Rhee
- Department of Radiology, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Korea
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Abstract
Rapid advances in liver surgery, including liver transplantation, radiology, and pathology, have created a need for clinically relevant nomenclature for premalignant and early lesions of hepatocellular carcinoma (HCC). Precancerous lesions include dysplastic foci and dysplastic nodules (DNs) characterized by cytologic or structural atypia. Although imaging diagnosis is playing a crucial role in the evaluation of hepatocarcinogenesis and early diagnosis of HCC, it is still challenging to accurately characterize borderline nodules such as small arterially enhancing lesions or hypovascular nodules. This article discusses pathological and radiological features of these small nodular lesions and offers insights into the multistep process of hepatocarcinogenesis by describing the progression of pathologic change linking DNs to HCC.
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Affiliation(s)
- Young Nyun Park
- Department of Pathology, Brain Korea 21 Project and Institute of Gastroenterology, Center for Chronic Metabolic Disease, Yonsei University Health System, Seoul, Republic of Korea
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Evolution of hypointense hepatocellular nodules observed only in the hepatobiliary phase of gadoxetate disodium-enhanced MRI. AJR Am J Roentgenol 2011; 197:58-63. [PMID: 21701011 DOI: 10.2214/ajr.10.5390] [Citation(s) in RCA: 130] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE We sought to determine whether hypointense hepatocellular nodules observed in the hepatobiliary phase of MRI enhanced with gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (gadoxetate disodium) progress to hypervascular hepatocellular carcinoma. MATERIALS AND METHODS Gadoxetate disodium-enhanced MRI was repeated for 30 patients with 49 nodules determined to be hypointense in the hepatobiliary phase but nonenhancing in the arterial phase of dynamic MRI. The correlation between characteristics of hypointense nodules with slightly or markedly low signal intensity relative to surrounding liver parenchyma and their progression to hypervascular hepatocellular carcinoma was analyzed in cirrhotic livers. All patients underwent angiography-assisted CT before MRI. The rate of progression to classic hepatocellular carcinoma was calculated by the Kaplan-Meier method. RESULTS The overall 6- and 12-month cumulative incidences of vascularization were 27.6% and 43.5%. The 6- and 12-month cumulative incidences of vascularized nodules with a maximum diameter 15 mm or greater were 43.3% and 77.3% and a maximum diameter less than 15 mm were 16.9% and 16.9%. The difference between these incidences was significant (p = 0.0147). CONCLUSION Hypointense nodules with a maximum diameter of at least 15 mm often become hypervascular. Therefore, patients with hypointense nodules characterized by a maximum diameter of 15 mm or greater should be observed carefully because of the high incidence of vascularization.
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Saito K, Moriyasu F, Sugimoto K, Nishio R, Saguchi T, Nagao T, Taira J, Akata S, Tokuuye K. Diagnostic efficacy of gadoxetic acid-enhanced MRI for hepatocellular carcinoma and dysplastic nodule. World J Gastroenterol 2011; 17:3503-9. [PMID: 21941417 PMCID: PMC3163248 DOI: 10.3748/wjg.v17.i30.3503] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2010] [Revised: 03/07/2011] [Accepted: 03/14/2011] [Indexed: 02/06/2023] Open
Abstract
AIM: To evaluate the relationship between the signal intensity of hepatobiliary phase images on gadoxetic acid-enhanced magnetic resonance imaging (MRI) and histological grade.
METHODS: Fifty-nine patients with 82 hepatocellular lesions were evaluated retrospectively. Hepatobiliary phase images on gadoxetic acid-enhanced MRI were classified into 3 groups: low, iso or high. Angiography-assisted computed tomography (CT) findings were also classified into 3 groups: CT during arterial portography, and CT hepatic arteriography: A: iso, iso or low; B: slightly low, iso or low; and C: low, high. We correlated angiography-assisted CT, hepatobiliary phase findings during gadoxetic acid-enhanced MRI and histological grades. Furthermore, correlations between MRI findings and histological grade for each hemodynamic pattern were performed. Correlations among radiological and pathological findings were statistically evaluated using the chi-square test and Fisher’ s exact test.
RESULTS: There was a significant correlation between histological grade and hemodynamic pattern (P < 0.05). There was a significant correlation between histological grade and signal intensity in the hepatobiliary phase (P < 0.05) in group A lesions. There was no significant correlation between histological grade and signal intensity in the hepatobiliary phase in group B or C lesions (P > 0.05).
CONCLUSION: Signal intensity in the hepatobiliary phase correlated with histological grade in the lesions that maintained portal blood flow, but did not correlate in lesions that showed decreased or defective portal blood flow.
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Chou CT, Chen YL, Wu HK, Chen RC. Characterization of hyperintense nodules on precontrast T1-weighted MRI: utility of gadoxetic acid-enhanced hepatocyte-phase imaging. J Magn Reson Imaging 2011; 33:625-32. [PMID: 21563246 DOI: 10.1002/jmri.22500] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
PURPOSE To evaluate the utility of gadoxetic acid-enhanced hepatocyte-phase magnetic resonance imaging (MRI) in characterization of T1-weighted hyperintense nodules within cirrhotic liver. MATERIALS AND METHODS This retrospective study was approved by our Institutional Review Board. Thirty-four nodules hyperintense in unenhanced T1-weighted MRI with histopathological confirmation from a collection of 19 patients were included. Tumor size, signal intensity on T1-weighted, and T2-weighted imaging as well as enhancement patterns on contrast-enhanced dynamic/hepatocyte-phase imaging were recorded. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of hepatocyte-phase imaging. RESULTS Evaluation of the nodules with standard of reference revealed 15 dysplastic nodules (DN), seven well-differentiated hepatocellular carcinomas (wHCC), and 12 moderately differentiated HCCs (mHCC). The mean size of dysplastic nodules was smaller than that of HCCs (P < 0.001). Using the HCC criteria (T2W or arterial enhancement followed with portal venous washout), 11/19 HCC were correctly characterized. Using solely hypointensity (compared to the surrounding liver parenchyma) during the hepatocyte phase as the criterion, 18/19 HCC were correctly characterized. There were seven additional HCCs diagnosed with hepatocyte-phase imaging (P = 0.02). CONCLUSION Gadoxetic acid-enhanced MRI with hepatocyte-phase imaging is superior to gadoxetic acid-enhanced MRI with conventional criteria alone in characterization of T1W hyperintense nodules.
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Affiliation(s)
- Chen-Te Chou
- Department of Biomedical Imaging and Radiological Science, National Yang-Ming Medical University, Taipei, Taiwan
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Performance of radiological methods in diagnosing hepatocellular carcinoma preoperatively in a recipient of living related liver transplantation: comparison with step section histopathology. Jpn J Radiol 2011; 29:129-37. [DOI: 10.1007/s11604-010-0528-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2008] [Accepted: 09/27/2010] [Indexed: 12/20/2022]
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Matsui O, Kitao A, Kobayashi S, Sanada J, Ryu Y, Minami T, Kozaka K, Shinnmura R, Nakamura K, Yoneda N, Koda W, Gabata T. Imaging of multi-step hepatocarcinogenesis: imaging, pathophysiologic and molecular correlation. ACTA ACUST UNITED AC 2011. [DOI: 10.2957/kanzo.52.415] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Park MJ, Kim YS, Lee WJ, Lim HK, Rhim H, Lee J. Outcomes of follow-up CT for small (5-10-mm) arterially enhancing nodules in the liver and risk factors for developing hepatocellular carcinoma in a surveillance population. Eur Radiol 2010; 20:2397-404. [PMID: 20559837 DOI: 10.1007/s00330-010-1810-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2009] [Revised: 02/15/2010] [Accepted: 03/25/2010] [Indexed: 01/14/2023]
Abstract
OBJECTIVE To evaluate the outcomes of small (5-10 mm), arterially enhancing nodules (SAENs) shown exclusively at the hepatic arterial phase of CT in a hepatocellular carcinoma (HCC) surveillance population and to determine risk factors for developing HCC. METHODS The study population included 112 patients (male:female = 100:12; aged 36-92 years) with 175 SAENs who were at risk of HCC. We evaluated serial changes during follow-up (1.4-41.8 months, mean 35.7 months) and analysed the initial CT findings of SAENs and the accompanying lesions to elucidate the risk factors for HCC development. RESULTS Of 175 SAENs, 101(57.7%) disappeared and 34(19.4%) persisted. Forty SAENs (22.9%) became HCC in 33 patients (29.5%). Presence of HCC treatment history (p = 0.005, risk ratio = 7.429), a larger size of SAEN (p = 0.003, risk ratio = 1.630), presence of coexistent HCC (p = 0.021, risk ratio = 3.777) and absence of coexistent typical arterioportal shunts (p = 0.003, risk ratio = 4.459) turned out to be independently significant risk factors for future development of HCC. CONCLUSION SAENs were frequently seen in an HCC surveillance population and have a 22.9% probability of becoming HCC on a per-lesion basis. Risk increased particularly when the lesion was associated with a previous or concurrent HCC, a large size or found without a coexistent typical arterioportal shunt.
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Affiliation(s)
- Min Jung Park
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50, Irwon-dong, Gangnam-gu, Seoul, 135-710, Korea
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Silva AC, Evans JM, McCullough AE, Jatoi MA, Vargas HE, Hara AK. MR imaging of hypervascular liver masses: a review of current techniques. Radiographics 2009; 29:385-402. [PMID: 19325055 DOI: 10.1148/rg.292085123] [Citation(s) in RCA: 60] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Major technologic advances in magnetic resonance (MR) imaging, including the advent of novel pulse sequences (eg, diffusion-weighted and steady-state free precession sequences) and the use of hepatocyte-specific contrast agents, have led to better image quality and shorter acquisition times, resulting in dramatic improvements in the noninvasive detection and characterization of hepatic lesions, particularly hypervascular neoplasms. However, as the role of MR imaging in clinical evaluation of the liver continues to evolve, keeping abreast of new developments can be daunting as well as confusing. A systematic approach that makes use of a simple decision algorithm can help differentiate hypervascular hepatic lesions on the basis of their distinguishing MR imaging characteristics and related clinical information.
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Affiliation(s)
- Alvin C Silva
- Department of Radiology, Mayo Clinic, Scottsdale, AZ 85259, USA.
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