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Miranda J, Key Wakate Teruya A, Leão Filho H, Lahan-Martins D, Tamura Sttefano Guimarães C, de Paula Reis Guimarães V, Ide Yamauchi F, Blasbalg R, Velloni FG. Diffuse and focal liver fat: advanced imaging techniques and diagnostic insights. Abdom Radiol (NY) 2024:10.1007/s00261-024-04407-4. [PMID: 38896247 DOI: 10.1007/s00261-024-04407-4] [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: 04/16/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024]
Abstract
The fatty liver disease represents a complex, multifaceted challenge, requiring a multidisciplinary approach for effective management and research. This article uses conventional and advanced imaging techniques to explore the etiology, imaging patterns, and quantification methods of hepatic steatosis. Particular emphasis is placed on the challenges and advancements in the imaging diagnostics of fatty liver disease. Techniques such as ultrasound, CT, MRI, and elastography are indispensable for providing deep insights into the liver's fat content. These modalities not only distinguish between diffuse and focal steatosis but also help identify accompanying conditions, such as inflammation and fibrosis, which are critical for accurate diagnosis and management.
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Affiliation(s)
- Joao Miranda
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
- Department of Radiology, University of São Paulo, R. Dr. Ovídio Pires de Campos, 75-Cerqueira César, São Paulo, SP, 05403-010, Brazil.
| | - Alexandre Key Wakate Teruya
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Hilton Leão Filho
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Daniel Lahan-Martins
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
- Departament of Radiology-FCM, State University of Campinas (UNICAMP), R. Tessália Vieira de Camargo, 126 Cidade Universitária, Campinas, SP, 13083-887, Brazil
| | - Cássia Tamura Sttefano Guimarães
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Vivianne de Paula Reis Guimarães
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Fernando Ide Yamauchi
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Roberto Blasbalg
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Fernanda Garozzo Velloni
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
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Delagnes A, Roux M, Vilgrain V, Guiu B, Laurent V, Sutter O, Bricault I, Trillaud H, Aubé C, Paisant A. Fat-containing hepatocellular carcinoma in patients with cirrhosis: proposal of a diagnostic modification regarding enhancement characteristics. Eur Radiol 2024; 34:2283-2293. [PMID: 37816923 DOI: 10.1007/s00330-023-10236-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 07/28/2023] [Accepted: 08/03/2023] [Indexed: 10/12/2023]
Abstract
OBJECTIVES The aim of this study was to develop and validate an algorithm for the non-invasive diagnosis of these fat-containing HCCs. METHODS Eighty-four cirrhotic patients with 77 fat-containing HCCs and 11 non-HCC fat-containing nodules were retrospectively included. All MRIs were reviewed; nodule characteristics, European Association for the Study of the Liver (EASL) and LI-RADS classifications, and survival were collected. One of the major features of LI-RADS v2018 (non-rim-like arterial phase hyperenhancement [APHE]) was changed to include different enhancing patterns at arterial phase and a new fat-LI-RADS algorithm was created for fat-containing nodules in cirrhosis. Its diagnostic performance was evaluated in both a derivation and external validation cohort (external cohort including 58 fat-containing HCCs and 10 non-HCC fat nodules). Reproducibility of this new algorithm was assessed. RESULTS In the derivation cohort, 54/77 (70.1%) fat-containing HCCs had APHE, 62/77 (80.5%) had enhancement compared to the nodule itself at arterial phase (APE), 43/77 (55.8%) had washout, and 20/77 (26.0%) had an enhancing capsule. EASL and LI-RADS had a sensitivity of 37.7% (29/77) and 36.4% (28/77), respectively, for the diagnosis of fat-containing HCC and both had a specificity of 100% (11/11). The new fat-LI-RADS algorithm increased sensitivity to 50.6% (39/77) without decreasing the specificity of 100% (11/11). The validation cohort confirmed the increased sensitivity, with a slight decrease in specificity. The concordance for the diagnosis of HCC for fat-LR5 was 85.3% (58/68). CONCLUSION The new fat-LI-RADS algorithm proposed here significantly improves the performance of the non-invasive diagnosis of fat-containing HCC and thus could reduce the number of biopsies conducted for fat-containing HCCs. CLINICAL RELEVANCE STATEMENT The European Association for the Study of the Liver and LI-RADS guidelines are poorly sensitive for the diagnosis of fat-containing HCC, mainly because of the low rate of arterial phase hyperenhancement (APHE) displayed by fat-containing HCC. Using all types of enhancement instead of APHE improves sensitivity of LI-RADS. KEY POINTS • Fat-containing HCCs on MRI account for 7.5% of HCCs and have different imaging characteristics from non-fatty HCCs. • The European Association for the Study of the Liver and LI-RADS algorithms for the non-invasive diagnosis of HCC have low sensitivity for the diagnosis of fat-containing HCC with MRI (37.7% and 36.4%, respectively). • The new fat-LI-RADS, which includes a slight modification of the "arterial enhancement" criterion, improves the sensitivity for the diagnosis of fat-containing HCC using MRI, without degrading the specificity.
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Affiliation(s)
- Anaïs Delagnes
- Department of Radiology, Angers University Hospital, 4 Rue Larrey, 49933, Angers, France.
| | - Marine Roux
- HIFIH Laboratory, EA 3859, UNIV Angers, 49045, Angers, France
| | - Valérie Vilgrain
- Department of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, France
- INSERM U1149, CRI, University Paris Diderot, Paris, France
| | - Boris Guiu
- Department of Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, Montpellier, France
| | - Valérie Laurent
- Department of Radiology, Nancy University Hospital, Lorraine University, 54500, Vandœuvre-Lès-Nancy, France
| | - Olivier Sutter
- Department of Radiology, Avicenne Hospital, Paris-Seine-Saint-Denis University Hospitals, Assistance-Publique Hôpitaux de Paris, 93000, Bobigny, France
| | - Ivan Bricault
- Laboratory of Techniques for Biomedical Engineering and Complexity Management, University Grenoble Alpes, National Center for Scientific Research, Grenoble, France
- Department of Radiology and Medical Imaging, University Hospital, Grenoble, La Tronche, France
| | - Hervé Trillaud
- Department of Diagnostic and Interventional Radiology, University Hospital Bordeaux, 33600, Pessac, France
- EA Imotion, University of Bordeaux, 33076, Bordeaux, France
| | - Christophe Aubé
- Department of Radiology, Angers University Hospital, 4 Rue Larrey, 49933, Angers, France
- HIFIH Laboratory, EA 3859, UNIV Angers, 49045, Angers, France
| | - Anita Paisant
- Department of Radiology, Angers University Hospital, 4 Rue Larrey, 49933, Angers, France
- HIFIH Laboratory, EA 3859, UNIV Angers, 49045, Angers, France
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Duong HQ, Kajiura S, Truong TD, Ngo MT, Nguyen KX, Pham HK, Ta TB, Nguyen DT, Hayashi R. Multifocal fatty liver nodules mimicking a metastatic disease: A case report. Radiol Case Rep 2024; 19:850-854. [PMID: 38188964 PMCID: PMC10770493 DOI: 10.1016/j.radcr.2023.11.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 11/14/2023] [Accepted: 11/15/2023] [Indexed: 01/09/2024] Open
Abstract
Multifocal fatty liver nodules can present a diagnostic challenge due to their resemblance to metastatic liver disease. This case report illustrates the complexity of such scenarios through the presentation of a middle-aged male patient. Despite the common nature of fatty liver disease, characterized by hepatocyte fat accumulation leading to diffuse and uniform liver lesions, rare instances exhibit heterogeneous appearances. The case underlines the potential confusion arising from imaging modalities when multiple small nodules disperse throughout the liver, mimicking multifocal tumors or metastases. The report emphasizes the critical role of comprehensive diagnostic procedures in preventing misdiagnosis and unwarranted interventions. Effective management hinges on multidisciplinary collaboration among specialists, ensuring accurate differentiation and appropriate treatment. This study serves as a reminder of the intricacies involved in interpreting multifocal fatty liver nodules that may masquerade as metastatic disease, highlighting the need for precision in clinical practice.
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Affiliation(s)
- Huy Quang Duong
- Department of Gastroenterology, 103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam
| | - Shinya Kajiura
- Department of Clinical Oncology, Toyama University Hospital, Toyama, Japan
| | - Tien Dinh Truong
- Department of Pathology, 103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam
| | - Minh Tuan Ngo
- Center for Diagnostic Imaging, 103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam
| | - Khai Xuan Nguyen
- Center for Diagnostic Imaging, 103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam
| | - Hung Khanh Pham
- Oncology Center, 103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam
| | - Thang Ba Ta
- Respiratory Center, 103 Military Hospital, Vietnam Military Medical University Hanoi, Vietnam
| | - Dung Tien Nguyen
- Department of Clinical Oncology, Toyama University Hospital, Toyama, Japan
- Respiratory Center, 103 Military Hospital, Vietnam Military Medical University Hanoi, Vietnam
| | - Ryuji Hayashi
- Department of Clinical Oncology, Toyama University Hospital, Toyama, Japan
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Biedak N, Graham J, Faissler D, Sato A. Computed tomographic features of an axillary liposarcoma with hepatic metastasis. Vet Radiol Ultrasound 2023; 64:E68-E72. [PMID: 37582509 DOI: 10.1111/vru.13286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/02/2023] [Accepted: 07/02/2023] [Indexed: 08/17/2023] Open
Abstract
A geriatric dog presented for lethargy, dyspnea, and urinary incontinence. Thoracic radiographs demonstrated a large, mixed fat, and soft tissue opaque axillary mass and a pulmonary mass. Computed tomography (CT) further characterized these masses and revealed innumerable fat-attenuating hepatic masses and cranial mediastinal lymphadenopathy. Histopathology of the axillary and hepatic masses confirmed grade two primary axillary liposarcoma with hepatic metastasis. Cytology of the pulmonary mass was consistent with a pulmonary carcinoma. This is the first published CT description of fat-attenuating metastatic hepatic liposarcoma in a dog.
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Affiliation(s)
- Nathan Biedak
- Department of Clinical Sciences at the Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA
| | - Julia Graham
- Department of Clinical Sciences at the Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA
| | - Dominik Faissler
- Department of Clinical Sciences at the Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA
| | - Amy Sato
- Department of Clinical Sciences at the Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA
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Maino C, Vernuccio F, Cannella R, Cortese F, Franco PN, Gaetani C, Giannini V, Inchingolo R, Ippolito D, Defeudis A, Pilato G, Tore D, Faletti R, Gatti M. Liver metastases: The role of magnetic resonance imaging. World J Gastroenterol 2023; 29:5180-5197. [PMID: 37901445 PMCID: PMC10600959 DOI: 10.3748/wjg.v29.i36.5180] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 08/28/2023] [Accepted: 09/11/2023] [Indexed: 09/20/2023] Open
Abstract
The liver is one of the organs most commonly involved in metastatic disease, especially due to its unique vascularization. It's well known that liver metastases represent the most common hepatic malignant tumors. From a practical point of view, it's of utmost importance to evaluate the presence of liver metastases when staging oncologic patients, to select the best treatment possible, and finally to predict the overall prognosis. In the past few years, imaging techniques have gained a central role in identifying liver metastases, thanks to ultrasonography, contrast-enhanced computed tomography (CT), and magnetic resonance imaging (MRI). All these techniques, especially CT and MRI, can be considered the non-invasive reference standard techniques for the assessment of liver involvement by metastases. On the other hand, the liver can be affected by different focal lesions, sometimes benign, and sometimes malignant. On these bases, radiologists should face the differential diagnosis between benign and secondary lesions to correctly allocate patients to the best management. Considering the above-mentioned principles, it's extremely important to underline and refresh the broad spectrum of liver metastases features that can occur in everyday clinical practice. This review aims to summarize the most common imaging features of liver metastases, with a special focus on typical and atypical appearance, by using MRI.
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Affiliation(s)
- Cesare Maino
- Department of Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
| | - Federica Vernuccio
- University Hospital of Padova, Institute of Radiology, Padova 35128, Italy
| | - Roberto Cannella
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo 90127, Italy
| | - Francesco Cortese
- Unit of Interventional Radiology, F Miulli Hospital, Acquaviva delle Fonti 70021, Italy
| | - Paolo Niccolò Franco
- Department of Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
| | - Clara Gaetani
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Valentina Giannini
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Riccardo Inchingolo
- Unit of Interventional Radiology, F Miulli Hospital, Acquaviva delle Fonti 70021, Italy
| | - Davide Ippolito
- Department of Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
- School of Medicine, University of Milano Bicocca, Milano 20100, Italy
| | - Arianna Defeudis
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Giulia Pilato
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo 90127, Italy
| | - Davide Tore
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Marco Gatti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
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Liu X, Tan SBM, Awiwi MO, Jang HJ, Chernyak V, Fowler KJ, Shaaban AM, Sirlin CB, Furlan A, Marks RM, Elsayes KM. Imaging Findings in Cirrhotic Liver: Pearls and Pitfalls for Diagnosis of Focal Benign and Malignant Lesions. Radiographics 2023; 43:e230043. [PMID: 37651277 DOI: 10.1148/rg.230043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Cirrhosis is the end stage of chronic liver disease and causes architectural distortion and perfusional anomalies. It is a major risk factor for developing hepatocellular carcinoma (HCC). Common disease entities in noncirrhotic livers, such as hemangiomas, can be rare in cirrhotic livers, and benign entities such as confluent hepatic fibrosis and focal nodular hyperplasia-like lesions may mimic the appearance of malignancies,. HCC usually has typical imaging characteristics, such as the major features established by the Liver Imaging Reporting and Data System. However, HCC can also have a spectrum of atypical or uncommon appearances, such as cystic HCC, hypovascular HCC, or macroscopic fat-containing HCC. HCCs with certain genetic mutations such as CTNNB-1-mutated HCC can harbor unique imaging features not seen in other types of HCC. In addition, malignancies that are less common than HCC, such as cholangiocarcinoma and metastases, which can be difficult to differentiate, can still occur in cirrhotic livers. Atypical imaging features of benign and malignant lesions can be challenging to accurately diagnose. Therefore, familiarity with these features and an understanding of the prevalence of disease entities in cirrhotic livers are key in the daily practice of radiologists for evaluation of cirrhotic livers. The authors illustrate the typical and atypical features of benign and malignant lesions in cirrhosis and discuss the technical pitfalls and unique advantages associated with various imaging modalities in assessing cirrhotic livers, including noncontrast and contrast-enhanced US, CT, and MRI. Work of the U.S. Government published under an exclusive license with the RSNA. Quiz questions for this article are available in the supplemental material.
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Affiliation(s)
- Xiaoyang Liu
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Stephanie B M Tan
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Muhammad O Awiwi
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Hyun-Jung Jang
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Victoria Chernyak
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Kathryn J Fowler
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Akram M Shaaban
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Claude B Sirlin
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Alessandro Furlan
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Robert M Marks
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Khaled M Elsayes
- From the Department of Medical Imaging, University of Toronto, University Health Network, 263 McCaul St, 4th Fl, Toronto, ON, Canada M5T 1W7, and Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Toronto, Ontario, Canada (X.L., S.B.M.T., H.J.J.); Department of Radiology, The University of Texas Health Science Center at Houston, Houston, Tex (M.O.A.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C.); Department of Radiology, University of California San Diego, San Diego, Calif (K.J.F., C.B.S.); Department of Radiology. University of Utah Health, Salt Lake City, Utah (A.M.S.); Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pa (A.F.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); and Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Tex (K.M.E.)
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7
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Chen K, Xu Y, Dong Y, Han H, Mao F, Wang H, Song X, Luo R, Wang WP. Contrast-Enhanced Imaging Features and Clinicopathological Investigation of Steatohepatitic Hepatocellular Carcinoma. Diagnostics (Basel) 2023; 13:diagnostics13071337. [PMID: 37046555 PMCID: PMC10093104 DOI: 10.3390/diagnostics13071337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 03/23/2023] [Accepted: 03/30/2023] [Indexed: 04/07/2023] Open
Abstract
Steatohepatitic hepatocellular carcinoma (SH-HCC) is a distinctive histologic variant of HCC for the presence of steatohepatitis. This study intended to evaluate the contrast-enhanced imaging features and clinicopathological characteristics of 26 SH-HCCs in comparison with 26 age-and-sex-matched non-SH-HCCs. The frequency of obesity (34.6%, p = 0.048) and type 2 diabetes mellitus (23.1%, p = 0.042) were significantly higher in SH-HCC patients. As seen via B-mode ultrasound (BMUS), SH-HCCs were predominantly hyperechoic (65.4%, p = 0.002) lesions, while non-SH-HCCs were mainly hypo-echoic. As seen via contrast-enhanced ultrasound (CEUS), 96.2% of SH-HCCs exhibited hyperenhancement in the arterial phase. During the portal venous and late phase, 88.5% of SH-HCCs showed late and mild washout. Consequently, most SH-HCCs and all non-SH-HCCs were categorized as LR-4 or LR-5. As seen via magnetic resonance imaging (MRI), a signal drop in the T1WI opposed-phase was observed in 84.6% of SH-HCCs (p = 0.000). Notably, diffuse fat in mass was detected in 57.7% (15/26) SH-HCCs (p < 0.001). As seen via contrast-enhanced MRI (CEMRI), most of the SH-HCCs and non-SH-HCCs exhibited heterogeneous hyperenhancement in the arterial phase (80.8% versus 69.2%, p = 0.337). During the delayed phase, 76.9% SH-HCCs and 88.5% non-SH-HCCs exhibited hypo-enhancement. Histopathologically, the rate of microvascular invasion (MVI) was significantly lower in SH-HCCs than non-SH-HCCs (42.3% versus 73.1%, p = 0.025). The frequency of hepatic steatosis >5% in non-tumoral liver parenchyma of SH-HCCs was significantly higher than in non-SH-HCCs (88.5% versus 26.9%, p = 0.000). Additionally, the fibrotic stages of S0, S1 and S2 in SH-HCCs were significantly higher than in non-SH-HCCs (p = 0.044). During follow-up, although the PFS of SH-HCC patients was significantly longer than non-SH-HCC patients (p = 0.046), for the overall survival rate of SH-HCC and non-SH-HCC patients there was no significant difference (p = 0.162). In conclusion, the frequency of metabolism-related diseases in SH-HCC patients was significantly higher than in non-SH-HCC patients. The imaging features of SH-HCCs combined the fatty change and typical enhancement performance of standard HCC as seen via CEUS/CEMRI.
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Affiliation(s)
- Kailing Chen
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yadan Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yi Dong
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of Ultrasound, Xinhua Hospital, Shanghai Jiao Tong Universitity School of Medicine, Shanghai 200092, China
| | - Hong Han
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Feng Mao
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Hantao Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xuhao Song
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Rongkui Luo
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Wen-Ping Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Luo L, Wang T, Cheng M, Ge X, Song S, Zhu G, Xiao Y, Deng W, Xie J, Shan R. Rare benign liver tumors that require differentiation from hepatocellular carcinoma: focus on diagnosis and treatment. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04169-w. [PMID: 35789428 DOI: 10.1007/s00432-022-04169-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 06/21/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND/AIM Recently, an increase in the number of asymptomatic rare benign liver tumors (BLTs) has been reported during health check-ups. It is difficult to determine the nature of partial rare BLTs and not easy to distinguish from malignant liver tumors. This study aimed to analysis clinical features, diagnosis and treatment of rare BLTs to reduce misdiagnosis and provide reference for clinical practice. METHODS From January 2012 to January 2021, we treated 112 rare BLTs by hepatectomy, including 54 focal nodular hyperplasias, 14 hepatocellular adenomas, 28 hepatic angiomyolipomas, 3 hepatic granulomas, 2 inflammatory pseudotumors of the liver, 2 nodular regenerative hyperplasia, 2 hepatic lipomas, 1 solitary fibrous tumor of the liver, 1 hepatic schwannoma and 1 hepatic myelolipoma. RESULTS The majority of patients were middle-aged female and asymptomatic. Single tumors were dominant. The diagnostic accuracies of computed tomography (CT) and magnetic resonance imaging (MRI) were 32.5% and 44.2%, respectively. The majority of tumors were likely to be misdiagnosed as hepatocellular carcinoma (HCC) or difficult to distinguish from HCC. All patients underwent surgical treatment. Postoperative pathological and immunohistochemical examination can confirm the diagnosis. No patients without tumor recurrence or metastasis during follow-up period. CONCLUSION Altogether, the clinical symptoms of rare BLTs lack specificity, and their preoperative diagnosis largely depends on imaging examination, with a low diagnostic accuracy rate and high chances of misdiagnosis as HCC. Diagnosis is confirmed by pathological and immunohistochemical examination. Surgical resection for rare BLT is safe and effective, regular postoperative follow-up is necessary.
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Affiliation(s)
- Laihui Luo
- Department of General Surgery, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China
| | - Tao Wang
- Department of Day Surgery Ward, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China
| | - Mengting Cheng
- Department of General Surgery, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China
| | - Xian Ge
- Department of Pathology, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China
| | - Shengjiang Song
- Department of General Surgery, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China
| | - Guoqing Zhu
- Department of General Surgery, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China
| | - Yongqiang Xiao
- Department of General Surgery, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China
| | - Wei Deng
- Department of General Surgery, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China
| | - Jin Xie
- Department of General Surgery, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China
| | - Renfeng Shan
- Department of General Surgery, First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, Jiangxi, China.
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Reizine E, Meurgey A, Amaddeo G, Laurent A, Calderaro J, Mule S, Luciani A. Fat in mass in primary liver lesions: are usual MRI diagnostic criteria of both malignant and benign liver lesions still applicable? Abdom Radiol (NY) 2022; 47:2347-2355. [PMID: 35672475 DOI: 10.1007/s00261-022-03561-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/15/2022] [Accepted: 05/17/2022] [Indexed: 11/01/2022]
Abstract
PURPOSE To evaluate the accuracy of the usual MRI diagnostic patterns of primary liver lesions applied to the diagnosis of pathologically proven fat-containing liver lesions. MATERIALS AND METHODS This monocentric IRB approved retrospective study included all patients with pathologically proven focal liver lesions and documented intra-tumoral fat on pathology and who underwent preoperative liver MRI for characterization. Both liver morphology and usual lesion MRI features were analyzed and their distribution correlated to the final pathological result (Khi-2 or Fisher exact tests, Student t-test or Mann-Whitney U test, as appropriate). The Sensitivity (Se) and Specificity (Sp) of MRI patterns known to be associated to both Hepatocellular Carcinoma (HCC), Focal Nodular Hyperplasia (FNH), and Hepatocellular Adenoma (HCA) subtypes were evaluated. RESULTS Between March 2014 and November 2021, 66 lesions were included, corresponding to: 26 HCC, 32 HCA, 6 FNH and 2 hepatic angiomyolipoma (HAML). All lesions developed on a dysmorphic liver were HCC. A non-rim arterial phase hyperenhancement with a washout and an enhancing capsule had a 98% specificity for HCC diagnosis; A homogeneous dropout of signal on the opposed phase had a sensitivity of 92% and a specificity of 89% for the diagnosis of HNF1alpha inactivated subtype of HCA (HHCA). The FNH pattern was specific at 100% for the diagnosis of FNH with a 40% Se. Finally, the accuracy of inflammatory hepatocellular adenoma (IHCA) pattern had a low 60% Se but a high 89% Sp for IHCA diagnosis. CONCLUSION Known MRI patterns remain reliable for the accurate diagnosis of primary liver tumors on MRI even in fat-containing lesions.
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Affiliation(s)
- Edouard Reizine
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France.
- Faculté de Médecine, Universite Paris Est Creteil, 94010, Creteil, France.
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France.
| | - Azure Meurgey
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
| | - Giuliana Amaddeo
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France
- Department of Hepatology, APHP, HU Henri Mondor, Créteil, France
| | - Alexis Laurent
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France
- Departement of Liver Surgery, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
| | - Julien Calderaro
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France
- Department of Pathology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
| | - Sebastien Mule
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- Faculté de Médecine, Universite Paris Est Creteil, 94010, Creteil, France
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France
| | - Alain Luciani
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- Faculté de Médecine, Universite Paris Est Creteil, 94010, Creteil, France
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France
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Soker G, Leblebisatan S, Dilek O, Akkaya H, Inan I, Kaya O, Yilmaz C, Gulek B. Magnetic resonance imaging evaluation of incidentally detected hyperechoic liver lesions: comparison of two modalities in terms of detection, diagnosis, and morphological features. Rev Assoc Med Bras (1992) 2021; 67:1839-1845. [DOI: 10.1590/1806-9282.20210760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 09/20/2021] [Indexed: 11/21/2022] Open
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11
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Matondang SBRE, Karismaputri KS, Suharlim E, Yonathan IWM. Hepatocellular Carcinoma with Macroscopic Fat Metamorphosis: A Case Series. J Clin Imaging Sci 2021; 11:36. [PMID: 34345526 PMCID: PMC8326146 DOI: 10.25259/jcis_221_2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 06/16/2021] [Indexed: 12/03/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related deaths in the world, with hepatitis B and C as its main causes. HCC can have fat metamorphosis which leads to a better prognosis, though this is more commonly found in lesions smaller than 3 cm in diameter, and usually contains intravoxel fat. In this case series, we present three cases of HCC with macroscopic fat metamorphosis as examined using CT scan and MRI. Macroscopic fat is seen using CT as a hypodense mass with attenuation of −10 to −100 HU, or MRI using fat-saturation technique. Intravoxel fat can be seen on MRI using fat saturation chemical shift technique, appearing as signal loss during opposed phase and increased signal during in-phase. The differential diagnoses of HCC with fat metamorphosis are angiomyolipoma, hepatic adenoma, nodular steatosis, focal nodular hyperplasia, dysplastic nodule, liposarcoma, and hepatic metastasis. Enhancement patterns of the fat and non-fat component; intra-tumoral fat distribution; the presence of cirrhosis; the presence of atoll sign; and history of viral hepatitis are useful clues for differentiation of HCC with other differential diagnoses.
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Affiliation(s)
| | - Komang Shary Karismaputri
- Department of Radiology, Dr. Cipto Mangunkusumo National General Hospital, Central Jakarta, Jakarta, Indonesia
| | - Edwin Suharlim
- Department of Radiology, Dr. Cipto Mangunkusumo National General Hospital, Central Jakarta, Jakarta, Indonesia
| | - I Wayan Murna Yonathan
- Department of Radiology, Dr. Cipto Mangunkusumo National General Hospital, Central Jakarta, Jakarta, Indonesia
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12
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Preoperative prediction of pathologic grade of HCC on gadobenate dimeglumine-enhanced dynamic MRI. Eur Radiol 2021; 31:7584-7593. [PMID: 33860826 DOI: 10.1007/s00330-021-07891-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 03/04/2021] [Accepted: 03/15/2021] [Indexed: 02/08/2023]
Abstract
PURPOSE To evaluate the value of gadobenate dimeglumine-enhanced MRI in predicting the pathologic grade of hepatocellular carcinoma (HCC). MATERIALS AND METHODS Patients with pathologically proven HCC who underwent preoperative gadobenate dimeglumine-enhanced dynamic MRI were included. Two radiologists blinded to pathology results evaluated images in consensus. Lesions were evaluated quantitatively in terms of ratio of enhancement (RE), and qualitatively based on image features related to tumor aggressiveness. Logistic regression and ROC analyses were used to determine the value of these parameters to predict pathologic grade. RESULTS In total, 221 patients (194 males, 27 females, aged 52.9 ± 11.7 years) with 49 poorly differentiated HCCs and 172 well/moderately differentiated HCCs were evaluated. Features significantly related to poorer pathologic grade at univariate analysis included lower RE in the early arterial phase (EAP) (p = 0.001), nonsmooth margins (p = 0.001), absence of capsule (p < 0.001), arterial peritumoral hyperenhancement (p < 0.001), higher AFP (p = 0.004), multiple tumors (p = 0.026), and larger tumor size (p = 0.028). At multivariate analysis, lower RE (EAP) (OR = 0.144, p = 0.002), absence of capsule (OR = 0.281, p = 0.004), and arterial peritumoral hyperenhancement (OR = 4.117, p < 0.001) were independent predictive factors for poorer pathologic grade. ROC analysis showed lower RE (EAP) was predictive of poorer pathologic grade (AUC = 0.667). AUC increased to 0.797 when combined with absence of capsule and presence of peritumoral hyperenhancement. CONCLUSIONS Lower RE (EAP), absence of capsule, and arterial peritumoral hyperenhancement were predictive biomarkers for poorer pathologic grade of HCC on gadobenate dimeglumine-enhanced dynamic MRI. KEY POINTS • Gadobenate dimeglumine-enhanced dynamic MRI was a useful quantitative biomarker for preoperative prediction of pathologic grade in patients with HCC. • Lower RE in the early arterial phase, absence of capsule, and arterial peritumoral hyperenhancement were potential imaging indicators for preoperative prediction of poorer pathologic grade of HCC on gadobenate dimeglumine-enhanced MRI. • A lower RE in the early arterial phase was effective at predicting poorer pathologic grade of HCCs but prediction is improved when combined with absence of capsule and presence of peritumoral hyperenhancement.
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13
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Rajlawot K, Jiang T, Zhou J, Lin C, Kuang S, Chen J, Zhang Y, Yang H, Deng Y, He B, Hernando D, Reeder SB, Wang J. Accuracies of Chemical Shift In/Opposed Phase and Chemical Shift Encoded Magnetic Resonance Imaging to Detect Intratumoral Fat in Hepatocellular Carcinoma. J Magn Reson Imaging 2021; 53:1791-1802. [PMID: 33580551 DOI: 10.1002/jmri.27539] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 01/08/2021] [Accepted: 01/11/2021] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND Magnetic Resonance Imaging (MRI) being a noninvasive modality may help in preoperative evaluation of intratumoral fat in hepatocellular carcinoma (HCC) using chemical shift encoded (CSE) MRI and in-/opposed-phase (IOP) imaging sequences. PURPOSE To compare the diagnostic accuracy of chemical shift encoded fat fraction at three different flip angles (FAs) using quantitative chemical shift encoded MRI (CSE-MRI) with in-/opposed phase (IOP) imaging to evaluate intratumoral fat in HCC. STUDY TYPE Retrospective. POPULATION Eighty-six patients with 87 pathology proven HCCs. FIELD STRENGTH/SEQUENCE IOP (LAVA-Flex) and CSE-MRI (IDEAL IQ) a three-dimensional spoiled gradient-echo pulse sequences acquired at 3 T. ASSESSMENT Regions of interest (ROIs) were manually drawn by two observers in the tumors to measure mean fat fractions. Surgical specimens were reassessed for intratumoral fat content. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were assessed for CSE-MRI sequence at FA 3°, 8°, and 9°. STATISTICAL TESTS Intraclass correlation coefficient (ICC) was expressed in terms of inter- and intra-observer agreements. Receiver operating characteristic curve analysis was performed for the diagnostic performance followed by combined metric of both. SNR/CNR were analyzed by Kruskal-Wallis test. RESULTS Excellent inter- and intra-observer agreements (ICC >0.95, P < 0.001) were observed for both IOP and CSE-MRI. IOP (86.4%) showed higher sensitivity than CSE-MRI at FA 3° (72.5%), FA 8° (76.4%) and FA 9° (76.3%). In contrast, the specificity for CSE-MRI at FA 3° (86%), FA 8° (87%), and FA 9° (87%) were greater than IOP (72%). A combined metric of IOP and CSE-MRI derived fat fractions at FA 8° gave highest AUC of 87% and accuracy of 86%. SNR and CNR for CSE-MRI were significantly higher at FA 8° and FA 9° than FA 3° (P < 0.05). DATA CONCLUSION IOP and quantitative CSE-MRI are both feasible methods to detect intratumoral fat in HCC with higher accuracy and SNR for CSE-MRI at FA 8° and 9°. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Kritisha Rajlawot
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Ting Jiang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Jing Zhou
- Department of Pathology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - ChuRong Lin
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Sichi Kuang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Jingbiao Chen
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Yao Zhang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Hao Yang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Ying Deng
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Bingjun He
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Diego Hernando
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
| | - Scott B Reeder
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
| | - Jin Wang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
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14
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Steatohepatitic hepatocellular carcinoma: imaging findings with clinicopathological correlation. Clin Radiol 2020; 76:160.e15-160.e25. [PMID: 33046228 DOI: 10.1016/j.crad.2020.09.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 09/08/2020] [Indexed: 12/22/2022]
Abstract
AIM To evaluate the clinicopathological and computed tomography (CT) and magnetic resonance imaging (MRI) findings of steatohepatitic hepatocellular carcinoma (SH-HCC). MATERIALS AND METHODS Clinicopathological and radiological features were evaluated in 20 patients with SH-HCC. The diagnosis of SH-HCC was made histologically if the tumour had four of the following five characteristics: steatosis (>5% tumour cells), ballooning, Mallory-Denk bodies, interstitial fibrosis, and inflammation. All patients underwent dynamic CT and MRI. CT and MRI images were reviewed for morphological features including tumour size, presence, and distribution of fat, and patterns and degree of contrast enhancement. RESULTS Obesity, hypertension, and history of heavy alcohol intake were common clinical findings observed in 10 (50%), 13 (65%), and 11 (55%) of the 20 patients, respectively. Steatosis and steatohepatitis were pronounced in the background liver in 12 (60%) and 10 (50%) patients, respectively. SH-HCC was moderately differentiated in 18 patients (90%) and well differentiated in two (10%). Pathologically, steatohepatitic features were diffuse in 12 (60%) of the 20 tumours and focal in eight (40%). Tumour size and the percentage of intratumoural steatosis were not correlated (r=0.17, p=0.47). On CT, 16 (80%) patients showed arterial phase enhancement and delayed washout. On MRI, 16 (80%) of 20 tumours showed prominent fatty deposition (10 diffusely, six focally) with arterial phase enhancement. CONCLUSIONS SH-HCC is likely to show prominent fatty deposits with arterial phase enhancement on CT and MRI. A hypervascular lesion with prominent fatty change should raise the diagnostic suspicion of SH-HCC.
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15
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Lyske J, Hutchinson C, Manolea F, Patel VH, Low G. Case 275: Multiple Hepatic Hydatid Cysts. Radiology 2020; 294:716-719. [PMID: 32069185 DOI: 10.1148/radiol.2019180104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
HistoryA 61-year-old woman presented to the cardiology service with sinus tachycardia. As part of her work-up, she underwent routine echocardiography that showed a normal heart but incidentally revealed multiple lesions in the liver. An outpatient CT scan was performed to characterize the liver lesions. The patient had emigrated to Canada from the Middle East several years earlier and had no medical history of note; in particular, there was no history of cancer or predisposing factors for chronic liver disease. The patient's clinical examination findings; laboratory test results, including complete blood count; and liver function test results were normal.
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Affiliation(s)
- Jonathan Lyske
- From the Department of Radiology and Diagnostic Imaging, University of Alberta, 8440-112 St, 2A2.41 WMC, Edmonton, AB, Canada T6G 2B7
| | - Christopher Hutchinson
- From the Department of Radiology and Diagnostic Imaging, University of Alberta, 8440-112 St, 2A2.41 WMC, Edmonton, AB, Canada T6G 2B7
| | - Florin Manolea
- From the Department of Radiology and Diagnostic Imaging, University of Alberta, 8440-112 St, 2A2.41 WMC, Edmonton, AB, Canada T6G 2B7
| | - Vimal H Patel
- From the Department of Radiology and Diagnostic Imaging, University of Alberta, 8440-112 St, 2A2.41 WMC, Edmonton, AB, Canada T6G 2B7
| | - Gavin Low
- From the Department of Radiology and Diagnostic Imaging, University of Alberta, 8440-112 St, 2A2.41 WMC, Edmonton, AB, Canada T6G 2B7
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16
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Costa AF, Clarke SE, Stueck AE, McInnes MDF, Thipphavong S. Benign Neoplasms, Mass-Like Infections, and Pseudotumors That Mimic Hepatic Malignancy at MRI. J Magn Reson Imaging 2020; 53:979-994. [PMID: 32621572 DOI: 10.1002/jmri.27251] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 05/20/2020] [Accepted: 05/20/2020] [Indexed: 12/14/2022] Open
Abstract
A variety of conditions may mimic hepatic malignancy at MRI. These include benign hepatic tumors and tumor-like entities such as focal nodular hyperplasia-like lesions, hepatocellular adenoma, hepatic infections, inflammatory pseudotumor, vascular entities, and in the cirrhotic liver, confluent fibrosis, and hypertrophic pseudomass. These conditions demonstrate MRI features that overlap with hepatic malignancy, and can be challenging for radiologists to diagnose accurately. In this review we discuss the MRI manifestations of various conditions that mimic hepatic malignancy, and highlight features that may allow distinction from malignancy. Level of Evidence 5 Technical Efficacy Stage 3.
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Affiliation(s)
- Andreu F Costa
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada
| | - Sharon E Clarke
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada
| | - Ashley E Stueck
- Department of Anatomical Pathology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada
| | - Matthew D F McInnes
- Department of Radiology, The Ottawa Hospital and University of Ottawa, Ottawa, Ontario, Canada
| | - Seng Thipphavong
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, Women's College Hospital, and University of Toronto, Toronto, Ontario, Canada
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17
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Kiolbasa ME, Thimmappa ND, Stensby JD. Migrating pseudolipoma of Glisson's capsule. Clin Imaging 2020; 69:1-3. [PMID: 32645534 DOI: 10.1016/j.clinimag.2020.06.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 06/14/2020] [Accepted: 06/18/2020] [Indexed: 01/11/2023]
Abstract
Pseudolipomas of Glisson's capsule are rare benign subcapsular liver lesions that typically affect older men. They are composed of degenerating fat that is thought to originate from a detached epiploic appendage. On Computed Tomographic (CT) imaging, pseudolipomas of Glisson's capsule are well-circumscribed and hypoattenuating compared to the hepatic parenchyma. This case report examines three consecutive CT studies in the same patient that show the pseudolipoma migrating to a hepatic subcapsular location over a period of 4.5 months. To our knowledge, this is the first documented case of a pseudolipoma migrating over time and it supports the hypothesis of a migrating epiploic appendage forming a pseudolipoma of Glisson's capsule. A comprehensive review of relevant literature and a discussion of the presented case are provided.
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Affiliation(s)
| | - Nanda Deepa Thimmappa
- Department of Radiology, University of Missouri School of Medicine, Columbia, MO, USA.
| | - James Derek Stensby
- Department of Radiology, University of Missouri School of Medicine, Columbia, MO, USA
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18
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Affiliation(s)
- Claudio Chiesa
- Institute of Translational Pharmacology, National Research Council, Rome, Italy.
| | | | - Lucia Pacifico
- Sapienza University of Rome, Policlinico Umberto I Hospital, Rome, Italy
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Shetty AS, Sipe AL, Zulfiqar M, Tsai R, Raptis DA, Raptis CA, Bhalla S. In-Phase and Opposed-Phase Imaging: Applications of Chemical Shift and Magnetic Susceptibility in the Chest and Abdomen. Radiographics 2019; 39:115-135. [DOI: 10.1148/rg.2019180043] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Anup S. Shetty
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Adam L. Sipe
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Maria Zulfiqar
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Richard Tsai
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Demetrios A. Raptis
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Constantine A. Raptis
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Sanjeev Bhalla
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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Chiesa C, Andreoli GM, Pacifico L. Pediatric nonalcoholic fatty liver disease. JORNAL DE PEDIATRIA (VERSÃO EM PORTUGUÊS) 2019. [DOI: 10.1016/j.jpedp.2018.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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