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Elbanna KY, Khalili K, AlMoharb M, Goel A, Fischer S, Kim TK. Qualitative and quantitative assessment of gadoxetic acid MRI in distinguishing atypical focal nodular hyperplasia from hepatocellular adenoma subtypes. Eur Radiol 2025:10.1007/s00330-025-11679-x. [PMID: 40369264 DOI: 10.1007/s00330-025-11679-x] [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: 01/11/2025] [Revised: 03/21/2025] [Accepted: 04/17/2025] [Indexed: 05/16/2025]
Abstract
OBJECTIVE To assess qualitative and quantitative imaging features, including lesion-to-liver contrast enhancement ratio (LLCER), on gadoxetic acid-enhanced MRI for differentiating atypical focal nodular hyperplasia (aFNH) from hepatocellular adenoma (HCA) subtypes. MATERIALS AND METHODS This retrospective study included patients with histopathologically-confirmed aFNH and HCA who underwent gadoxetic acid-enhanced MRI between January 2010 and December 2020. Two radiologists assessed qualitative imaging features and calculated LLCERs for quantitative evaluation of HBP enhancement. Statistical analyses included ROC curves, sensitivity, specificity, and a decision tree. RESULTS 86 patients (41 ± 11 years; 64 women) had 29 aFNHs and 90 HCAs. HBP iso-/hyperintensity was observed in 72.4% (21/29) of aFNH compared to 28.8% (15/52) of U-HCA, 35% (7/20) of I-HCA, and 0% (0/11) of H-HCA. β-HCA showed 71.4% (5/7) iso-/hyperintensity, overlapping with aFNH (p = 0.17). Homogeneous iso-/hyperintensity and rim-like enhancement were present in 48.3% (14/29) and 20.7% (6/29) of aFNH but absent in β-HCA (p = 0.004). LLCER demonstrated high diagnostic performance, differentiating aFNH from U-HCA, H-HCA, and I-HCA(AUCs 0.91-0.99, sensitivities 82.8-96.6%, specificities 90.0-100%). For β-HCA, LLCER showed overlap with aFNH; AUCs (0.62-0.64) and specificities (57.1%). Among HCAs with HBP iso-/hyperintensity, 74.1% had negative LLCER values, while 25.9% (mostly β-HCA/U-HCA) showed positive values (true enhancement). Combined decision trees selected LLCER as the primary node, with downstream HBP features variably incorporated, except β-HCA, which solely used qualitative features. CONCLUSION HBP iso-/hyperintensity and LLCER reliably differentiated aFNH from most HCA subtypes, except β-HCA, validated by decision tree analyses. Homogeneous iso-/hyperintensity or rim-like enhancement was absent in β-HCA, aiding differentiation. KEY POINTS Question Variability in hepatobiliary phase (HBP) enhancement among hepatocellular adenoma (HCA) subtypes and atypical FNH (aFNH) poses diagnostic challenges. Findings Despite HBP enhancement overlap in aFNH/β-HCA, "homogeneous" and rim-like enhancement aided aFNH differentiation from HCAs. LLCER separated HCAs lacking true HBP uptake from aFNH. Clinical relevance This study explored challenges in differentiating aFNH from HCA subtypes, especially overlapping β-HCA, highlighting discriminatory qualitative markers and quantitative assessment to distinguish true HBP enhancement, an approach validated by decision tree analysis.
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Affiliation(s)
- Khaled Y Elbanna
- University Medical Imaging Toronto, University Health Network, University of Toronto, Toronto, ON, Canada.
| | - Korosh Khalili
- University Medical Imaging Toronto, University Health Network, University of Toronto, Toronto, ON, Canada
| | - May AlMoharb
- Department of Radiology, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Ankur Goel
- University Medical Imaging Toronto, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Sandra Fischer
- Laboratory Medicine Program, Princess Margaret Cancer Centre Research Institute, University Health Network. University of Toronto, Toronto, ON, Canada
| | - Tae Kyoung Kim
- University Medical Imaging Toronto, University Health Network, University of Toronto, Toronto, ON, Canada
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Wu F, Zhu W, Du S, Jiang J, Xing F, Zhang T, Ma Q, Xing W. Intrahepatic diffuse periportal hyperintensity patterns on hepatobiliary phase of gadoxetate-enhanced MRI: a non-invasive imaging biomarker for clinical stratification of liver injury. Abdom Radiol (NY) 2025:10.1007/s00261-025-04985-x. [PMID: 40358705 DOI: 10.1007/s00261-025-04985-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2025] [Revised: 04/19/2025] [Accepted: 05/01/2025] [Indexed: 05/15/2025]
Abstract
PURPOSE To evaluate the clinicoradiological significance of intrahepatic periportal hyperintensity (PHI) detected by gadoxetate-enhanced hepatobiliary phase (HBP) MRI and T2-weighted imaging (T2WI), and to assess its potential as a noninvasive imaging biomarker for clinical stratification of liver injury in patients with cirrhosis. METHODS This retrospective study included 37 cirrhotic patients with intrahepatic diffuse PHI on HBP imaging, who underwent gadoxetate-enhanced MRI between October 2019 and November 2023. PHI patterns were classified into two groups based on the spatial concordance between periportal enhancement areas on HBP and periportal hyperintense areas on T2WI. The matching group (Type A, n = 21) demonstrated complete spatial overlap between the two sequences. The mismatching group, comprised Type B (n = 11), in which PHI on HBP was immediately outside of that on T2WI, and Type C (n = 5), in which PHI was present on HBP but absent on T2WI. Clinical etiologies and liver biochemical markers (ALT, AST, GGT, TBil, DBil, ALP, Alb, TP) were compared across PHI subtypes. RESULTS Type A PHI was predominantly associated with acute liver injury (e.g., acute viral hepatitis flares, drug-induced liver injury, autoimmune hepatitis), characterized by a strong ALT-AST correlation (r = 0.95, P < 0.001) and significantly elevated levels of ALT, AST, GGT, TBil, and DBil (all P < 0.001). In contrast, Types B and C PHI were primarily linked to chronic fibrotic conditions (e.g., HBV/HCV-related cirrhosis, primary biliary cholangitis, and primary sclerosing cholangitis), showing a strong TBil-DBil correlation (r = 0.95, P < 0.001) and moderately elevated ALP and Alb levels (P = 0.027 and P = 0.017, respectively). Receiver operating characteristic (ROC) analysis identified DBil > 37.5 μmol/L as the optimal threshold for differentiating Type A from Types B/C PHI (AUC = 0.922; sensitivity = 86.7%, specificity = 100%). Notably, HBP-doughnut nodules without arterial-phase hyperenhancement (APHE) were exclusively observed in the mismatching group (Type B: 4/11; Type C: 3/5), further supporting their association with chronic fibrotic changes. CONCLUSION PHI phenotyping based on HBP-T2WI spatial concordance enables accurate, noninvasive differentiation between acute inflammatory and chronic fibrotic liver injury in cirrhotic patients. When integrated with the DBil threshold, this imaging-based approach provides as a robust biomarker for clinical stratification of liver injury and may facilitate individualized diagnosis and therapeutic decision-making in chronic liver disease.
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Affiliation(s)
- Feifei Wu
- Third Affiliated Hospital of Nantong University & Nantong Third People's Hospital, Nantong, China
| | - Wenjing Zhu
- Third Affiliated Hospital of Nantong University & Nantong Third People's Hospital, Nantong, China
| | - Sheng Du
- Third Affiliated Hospital of Nantong University & Nantong Third People's Hospital, Nantong, China
| | - Jifeng Jiang
- Third Affiliated Hospital of Nantong University & Nantong Third People's Hospital, Nantong, China
| | - Fei Xing
- Third Affiliated Hospital of Nantong University & Nantong Third People's Hospital, Nantong, China.
| | - Tao Zhang
- Third Affiliated Hospital of Nantong University & Nantong Third People's Hospital, Nantong, China
| | - Qinrong Ma
- Third Affiliated Hospital of Nantong University & Nantong Third People's Hospital, Nantong, China
| | - Wei Xing
- Third Affiliated Hospital of Soochow University, Changzhou, China
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Heo S, Kim B, Kim SY, Kang HJ, Song IH, Lee SH, Huh J, Kim S, Baek S, Lee SS, Choi SH, Jang JK, Park SH. A Multicenter Study on Hepatocellular Adenomas in Korea: Clinicopathological and Imaging Features With an Emphasis on β-Catenin Mutated Subtype. Liver Int 2025; 45:e16155. [PMID: 39526315 DOI: 10.1111/liv.16155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 09/25/2024] [Accepted: 10/24/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND & AIMS The clinicopathologic and imaging features of hepatocellular adenomas (HCAs) in Asian population remain unclear. We aimed to analyse clinicopathologic and imaging features of HCAs in Korea and propose an imaging-based method to differentiate β-catenin mutated HCA (βHCA) from other subtypes. METHODS This retrospective multicenter study included pathologically confirmed HCAs from three tertiary institutions in Korea between 2010 and 2023. HCA subtypes were determined according to the current World Health Organization classification using immunohistochemical staining. Two abdominal radiologists reviewed computed tomography and magnetic resonance imaging scans. The clinical characteristics and imaging features of HCA subtypes were compared. A scoring system for βHCA was developed and validated using development (January 2010-April 2021) and validation (May 2021-March 2023) cohorts. RESULTS 121 patients (47 men; mean age, 39.0 years ±13.5) with 138 HCAs were included. HCAs displayed characteristic clinicopathologic features, including a high proportion of male (38.8%) and obese patients (35.5%), with the inflammatory subtype being the most common (38.4%) and a low percentage of patients using oral contraceptive (5.0%). Each HCA subtype demonstrated distinct clinical and imaging features. The scoring system incorporating tumour heterogeneity and iso to high hepatobiliary phase signal intensity on MRI for differentiating βHCA exhibited high performance in both the development (AUC 0.92, 95% CI: 0.87-0.97) and the validation cohort (AUC 0.91, 95% CI: 0.77-1.00). CONCLUSIONS This comprehensive analysis of clinicopathologic and imaging features of HCAs in Korea contributes to the characterisation of HCAs across different geographical regions. The imaging-based scoring system effectively differentiates βHCA.
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Affiliation(s)
- Subin Heo
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Bohyun Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - So Yeon Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hyo Jeong Kang
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - In Hye Song
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sung Hak Lee
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jimi Huh
- Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Seokhwi Kim
- Department of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Seunghee Baek
- Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Seung Soo Lee
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sang Hyun Choi
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jong Keon Jang
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Seong Ho Park
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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Jiang H, Qu JR, Wang LF, Gao PR, Zheng BJ, Zhang HK, Jiang LN. Hepatobiliary phase manifestations of breast cancer liver metastasis: differentiating molecular types through Gd-EOB-DTPA-enhanced MRI. BMC Med Imaging 2025; 25:104. [PMID: 40155844 PMCID: PMC11951506 DOI: 10.1186/s12880-025-01648-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2024] [Accepted: 03/20/2025] [Indexed: 04/01/2025] Open
Abstract
OBJECTIVE The primary objective of this study is to evaluate the diagnostic efficacy of gadolinium ethoxybenzyl diethylenetriaminepentaacetic acid (Gd-EOB-DTPA) -enhanced magnetic resonance imaging (MRI) in distinguishing breast cancer liver metastasis (BCLM) across different molecular types. METHODS Between August 2014 and July 2021, a cohort of 270 patients histologically diagnosed with BCLM underwent examination through dynamic contrast-enhanced MRI (DCE-MRI). The data collection encompassed clinical information of patients, as well as information on the quantity, shape, boundary, and fusion state of liver metastases. Additionally, MR sequences including T2-weighted imaging with fat suppression (FS), diffusion-weighted imaging (DWI), MR arterial phase, and hepatobiliary phase (HBP) were collected. The chi-squared test was employed to study the correlations between different molecular types of BCLM and imaging features observed in MRI. RESULTS Significant differences were observed in the HBP image features among various subtypes of breast cancer (P = 0.022). The morphology (oval, irregular) and fusion state (converging, separated lesions) of BCLM exhibited statistically significant differences based on breast cancer subtypes (P = 0.022, 0.004). No statistical differences were found in the quantity of BCLM, the boundary of metastasis (clear or vague), and imaging features of the T2WI-FS and DWI concerning the molecular subtypes of BCLM (P = 0.693, 0.161, 0.629, 0.629). CONCLUSION The findings suggest that MRI, particularly Gd-EOB-DTPA-enhanced MRI, they displayed varied enhancement patterns, including the low signal, "target sign", "rim enhancement", and "doughnut-like enhancement". Most basal-like metastases demonstrated a low signal, the other molecular types primarily showing the "target sign". This is invaluable in the imaging diagnosis of BCLM across different molecular type. CLINICAL TRIAL NUMBER Not applicable.
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Affiliation(s)
- Hui Jiang
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, Henan Province, 450008, China
| | - Jin-Rong Qu
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, Henan Province, 450008, China.
| | - Li-Feng Wang
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, Henan Province, 450008, China
| | - Peng-Rui Gao
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, Henan Province, 450008, China
| | - Bing-Jie Zheng
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, Henan Province, 450008, China
| | - Hong-Kai Zhang
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, Henan Province, 450008, China
| | - Li-Na Jiang
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, Henan Province, 450008, China
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Harper KC, Ronot M, Wells ML, Luna A, Ba-Ssalamah A, Wang J, Welle CL, Silva AC, Fidler J, Venkatesh SK. Hypointense Findings on Hepatobiliary Phase MR Images. Radiographics 2025; 45:e240090. [PMID: 39883575 DOI: 10.1148/rg.240090] [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: 02/01/2025]
Abstract
Hepatobiliary (HB) contrast agents are increasingly valuable diagnostic tools in MRI, offering a wider range of applications as their clinical use expands. Normal hepatocytes take up HB contrast agents, which are subsequently excreted in bile. This property creates a distinct HB phase providing valuable insights into liver function and biliary anatomy. HB contrast agents can assist in diagnosing a broad spectrum of HB diseases ranging from diffuse liver disease to focal hepatic lesions and can delineate anatomic details of the biliary tree. Understanding the pharmacodynamics of HB contrast agents is paramount to their appropriate clinical application and troubleshooting. HB phase hypointensity can arise from various diffuse and focal abnormalities that may or may not be associated with biliary excretion. Hypointensity during the HB phase can be broadly grouped into diffuse hypointensity, regional hypointensity, and focal lesions for better evaluation of the underlying cause. Abnormalities may arise from hepatic parenchymal, biliary, or vascular causes, or a combination thereof in each of the broad groups. Recognition of a suboptimal hypointense HB phase is important in the evaluation of focal lesions in patients with cirrhosis of the liver and particularly in those with hepatocellular carcinoma. Furthermore, hypointensity can also suggest the aggressiveness of malignancies such as hepatocellular carcinoma or colorectal metastases, which may affect the prognosis. It is essential to consider all imaging findings relative to the clinical context and the complete set of the MRI sequences performed for diagnosis of liver abnormalities. This comprehensive approach minimizes the risk of misinterpretation or pitfalls. The authors aim to equip radiologists with key insights for accurately understanding hypointensity in the HB phase, ultimately leading to more accurate diagnoses. ©RSNA, 2025 Supplemental material is available for this article.
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Affiliation(s)
- Kelly C Harper
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
| | - Maxime Ronot
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
| | - Michael L Wells
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
| | - Antonio Luna
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
| | - Ahmed Ba-Ssalamah
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
| | - Jin Wang
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
| | - Christopher L Welle
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
| | - Alvin C Silva
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
| | - Jeff Fidler
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
| | - Sudhakar K Venkatesh
- From the Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905 (K.C.H., M.L.W., C.L.W., J.F., S.K.V.); Department of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada (K.C.H.); Department of Medical Imaging, Beaujon University Hospital, Clichy, France (M.R.); HT Medica, Madrid, Spain (A.L.); Department of Radiology, University of Vienna, Vienna, Austria (A.B.S.); Department of Radiology, Sun Yat Sen University, Guangzhou, China (J.W.); and Department of Radiology, Division of Abdominal Imaging, Mayo Clinic, Scottsdale, Ariz (A.C.S.)
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Lin B, Zhang W, Jiang Y, Qin Y, Mishra PK, Chen JY, Zeng YD, Zhou ZP. Diagnostic performance of LR-5 based on hypointensity on Gd-EOB-DTPA-enhanced MRI in the hepatobiliary phase for sHCC using LI-RADS v2018 criteria. Clin Radiol 2025; 81:106784. [PMID: 39799836 DOI: 10.1016/j.crad.2024.106784] [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: 02/02/2024] [Revised: 11/28/2024] [Accepted: 12/15/2024] [Indexed: 01/15/2025]
Abstract
AIM To investigate the value of the LR-5, which is based on hepatobiliary phase (HBP) hypointensity, for small hepatocellular carcinoma (sHCC) using LI-RADS v2018 criteria. MATERIALS AND METHODS From January 2015 to December 2021 in institution 1, and from January 2019 to February 2022 in institution 2, 239 patients at high risk for hepatocellular carcinoma (HCC) underwent contrast-enhanced MRI. Two radiologists independently evaluated the imaging features and classified them according to LI-RADS v2018 criteria, calculating the diagnostic performance of LR-5 based on consensus data. LI-RADS-m1: HBP hypointensity was used as an additional major feature along with the LI-RADS v2018. LI-RADS-m2: HBP hypointensity replaced nonperipheral "washout" in the portal venous phase. The definition of LR-DN was nodules pathologically diagnosed as high-grade dysplastic nodules (HGDN) were recategorized as LR-DN. The diagnostic performance of LR-5 was recalculated. The diagnostic performance of the LR-5 was compared using McNemar's test. RESULTS Using LI-RADS v2018, LI-RADS-m1, and LI-RADS-m2 criteria for LR-5, the sensitivities were 82.67%, 86.22%, and 88.44%, the specificities were 82.00%, 66.00%, and 54.00%, and the accuracies were 82.55%, 82.55%, and 82.18%, respectively. After the addition of the LR-DN, the sensitivities of LR-5 in the above diagnostic model remained unchanged, with accuracies of 84.36%, 87.27%, and 88.36% and specificities of 92.00%, 92.00%, and 88.00%, respectively. CONCLUSIONS HBP hypointensity may improve the sensitivity of LR-5. We attempted to propose the LR-DN, HBP hypointensity may be used as a complement to washout as an additional major feature without significantly decreasing specificity.
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Affiliation(s)
- B Lin
- Department of Radiology, Affiliated Hospital of Guilin Medical University, No 15, Lequn Road, Guilin, Guangxi, 541001, China.
| | - W Zhang
- Department of Radiology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, No 8, Wenchang Road, Liuzhou, Guangxi, 545006, China.
| | - Y Jiang
- Department of Radiology, Affiliated Hospital of Guilin Medical University, No 15, Lequn Road, Guilin, Guangxi, 541001, China.
| | - Y Qin
- Department of Radiology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, No 8, Wenchang Road, Liuzhou, Guangxi, 545006, China.
| | - P K Mishra
- Department of Radiology, Affiliated Hospital of Guilin Medical University, No 15, Lequn Road, Guilin, Guangxi, 541001, China.
| | - J Y Chen
- Department of Radiology, Affiliated Hospital of Guilin Medical University, No 15, Lequn Road, Guilin, Guangxi, 541001, China.
| | - Y D Zeng
- Department of Radiology, Affiliated Hospital of Guilin Medical University, No 15, Lequn Road, Guilin, Guangxi, 541001, China.
| | - Z P Zhou
- Department of Radiology, Affiliated Hospital of Guilin Medical University, No 15, Lequn Road, Guilin, Guangxi, 541001, China.
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Dai H, Yan C, Huang W, Pan Y, Pan F, Liu Y, Wang S, Wang H, Ye R, Li Y. A Nomogram Based on MRI Visual Decision Tree to Evaluate Vascular Endothelial Growth Factor in Hepatocellular Carcinoma. J Magn Reson Imaging 2025; 61:970-982. [PMID: 39777758 PMCID: PMC11706310 DOI: 10.1002/jmri.29491] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 06/01/2024] [Accepted: 06/04/2024] [Indexed: 01/11/2025] Open
Abstract
BACKGROUNDS Anti-vascular endothelial growth factor (VEGF) therapy has been developed and recognized as an effective treatment for hepatocellular carcinoma (HCC). However, there remains a lack of noninvasive methods in precisely evaluating VEGF expression in HCC. PURPOSE To establish a visual noninvasive model based on clinical indicators and MRI features to evaluate VEGF expression in HCC. STUDY TYPE Retrospective. POPULATION One hundred forty HCC patients were randomly divided into a training (N = 98) and a test cohort (N = 42). FIELD STRENGTH/SEQUENCE 3.0 T, T2WI, T1WI including pre-contrast, dynamic, and hepatobiliary phases. ASSESSMENT The fusion model constructed by history of smoking, albumin-to-globulin ratio (AGR) and the Radio-Tree model was visualized by a nomogram. STATISTICAL TESTS Performances of models were assessed by receiver operating characteristic (ROC) curves. Student's t-test, Mann-Whitney U-test, chi-square test, Fisher's exact test, univariable and multivariable logistic regression analysis, DeLong's test, integrated discrimination improvement (IDI), Hosmer-Lemeshow test, and decision curve analysis were performed. P < 0.05 was considered statistically significant. RESULTS History of smoking and AGR ≤1.5 were clinical independent risk factors of the VEGF expression. In training cohorts, values of area under the curve (AUCs) of Radio-Tree model, Clinical-Radiological (C-R) model, fusion model which combined history of smoking and AGR with Radio-Tree model were 0.821, 0.748, and 0.871. In test cohort, the fusion model showed highest AUC (0.844) than Radio-Tree and C-R models (0.819, 0.616, respectively). DeLong's test indicated that the fusion model significantly differed in performance from the C-R model in training cohort (P = 0.015) and test cohort (P = 0.007). DATA CONCLUSION The fusion model combining history of smoking, AGR and Radio-Tree model established with ML algorithm showed the highest AUC value than others. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Hanting Dai
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of RadiologyNational Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical UniversityFuzhouFujianChina
| | - Chuan Yan
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of RadiologyNational Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical UniversityFuzhouFujianChina
| | - Wanrong Huang
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
| | - Yifan Pan
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
| | - Feng Pan
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
| | - Yamei Liu
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
| | - Shunli Wang
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
| | - Huifang Wang
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
| | - Rongping Ye
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
| | - Yueming Li
- Department of RadiologyThe First Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of RadiologyNational Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical UniversityFuzhouFujianChina
- Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated HospitalFujian Medical UniversityFuzhouFujianChina
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Wu X, Wang Y, He Y, Yang Y. Development and Validation of a Predictive Model for Liver Failure After Transarterial Chemoembolization Using Gadoxetic Acid-Enhanced MRI and Functional Liver Imaging Score. Acad Radiol 2025:S1076-6332(24)01056-0. [PMID: 39809606 DOI: 10.1016/j.acra.2024.12.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2024] [Revised: 12/29/2024] [Accepted: 12/29/2024] [Indexed: 01/16/2025]
Abstract
RATIONALE AND OBJECTIVES Post-transarterial chemoembolization liver failure (PTLF) is a potentially fatal complication of transarterial chemoembolization (TACE). Accurate preoperative prediction of PTLF is crucial for improving patient outcomes. This study aimed to develop and validate a prediction model based on the functional liver imaging score (FLIS) to assess the risk of PTLF. MATERIALS AND METHODS A total of 156 patients underwent Gadoxetic acid-enhanced MRI within four weeks before TACE. Two radiologists, unaware of the clinical data, independently assessed FLIS on hepatobiliary phase images to quantitatively assess liver function. Univariate and multivariate logistic regression analyses identified independent predictors of PTLF. A nomogram was developed and subjected to internal validation through bootstrap resampling of 1000 samples. The model's performance was conducted through the area under the curve (AUC), Hosmer-Lemeshow test, calibration curves, and decision curve analysis (DCA). P< 0.05 was considered statistically significant. RESULTS PTLF occurred in 37.2% of patients (58/156). Significant differences were observed in factors such as portal vein thrombosis, albumin, aspartate transaminase, international normalized ratio (INR), model for end-stage liver disease scoring, albumin-bilirubin score, and FLIS. Multivariate analysis showed FLIS, portal vein thrombosis, and INR as independent predictors. The model achieved an AUC of 0.759, with 87.8% specificity and 56.9% sensitivity, and demonstrated good calibration (χ² = 7.101, P=0.526). Calibration curves and DCA confirmed its clinical utility. CONCLUSION This FLIS-based prediction model performs well in predicting PTLF, potentially serving as a practical clinical tool.
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Affiliation(s)
- Xinru Wu
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Yihuan Wang
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Yiwei He
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Yongbo Yang
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
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9
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Zheng W, Chen X, Xiong M, Zhang Y, Song Y, Cao D. Clinical-Radiologic Morphology-Radiomics Model on Gadobenate Dimeglumine-Enhanced MRI for Identification of Highly Aggressive Hepatocellular Carcinoma: Temporal Validation and Multiscanner Validation. J Magn Reson Imaging 2024; 60:2643-2654. [PMID: 38375988 DOI: 10.1002/jmri.29293] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/27/2024] [Accepted: 01/29/2024] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND Highly aggressive hepatocellular carcinoma (HCC) is characterized by high tumor recurrence and poor outcomes, but its definition and imaging characteristics have not been clearly described. PURPOSE To develop and validate a fusion model on gadobenate dimeglumine-enhanced MRI for identifying highly aggressive HCC. STUDY TYPE Retrospective. POPULATION 341 patients (M/F = 294/47) with surgically resected HCC, divided into a training cohort (n = 177), temporal validation cohort (n = 77), and multiscanner validation cohort (n = 87). FIELD STRENGTH/SEQUENCE 3T, dynamic contrast-enhanced MRI with T1-weighted volumetric interpolated breath-hold examination gradient-echo sequences, especially arterial phase (AP) and hepatobiliary phase (HBP, 80-100 min). ASSESSMENT Clinical factors and diagnosis assessment based on radiologic morphology characteristics associated with highly aggressive HCCs were evaluated. The radiomics signatures were extracted from AP and HBP. Multivariable logistic regression was performed to construct clinical-radiologic morphology (CR) model and clinical-radiologic morphology-radiomics (CRR) model. A nomogram based on the optimal model was established. Early recurrence-free survival (RFS) was evaluated in actual groups and risk groups calculated by the nomogram. STATISTICAL TESTS The performance was evaluated by receiver operating characteristic curve (ROC) analysis, calibration curves analysis, and decision curves. Early RFS was evaluated by using Kaplan-Meier analysis. A P value <0.05 was considered statistically significant. RESULTS The CRR model incorporating corona enhancement, cloud-like hyperintensity on HBP, and radiomics signatures showed the highest diagnostic performance. The area under the curves (AUCs) of CRR were significantly higher than those of the CR model (AUC = 0.883 vs. 0.815, respectively, for the training cohort), 0.874 vs. 0.769 for temporal validation, and 0.892 vs. 0.792 for multiscanner validation. In both actual and risk groups, highly and low aggressive HCCs showed statistically significant differences in early recurrence. DATA CONCLUSION The clinical-radiologic morphology-radiomics model on gadobenate dimeglumine-enhanced MRI has potential to identify highly aggressive HCCs and non-invasively obtain prognostic information. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Wanjing Zheng
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Xiaodan Chen
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Meilian Xiong
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Yu Zhang
- Department of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Yang Song
- MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, China
| | - Dairong Cao
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
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10
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Furumaya A, Willemssen FEJA, Miclea RL, Haring MPD, de Haas RJ, Feshtali S, Vanhooymissen IJS, Bos D, de Man RA, Ijzermans JNM, Erdmann JI, Verheij J, Doukas MC, van Delden OM, Thomeer MGJ. Lesions hyper- to isointense to surrounding liver in the hepatobiliary phase of gadoxetic acid-enhanced MRI. Eur Radiol 2024; 34:7661-7672. [PMID: 38900280 PMCID: PMC11557620 DOI: 10.1007/s00330-024-10829-x] [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: 11/06/2023] [Revised: 04/11/2024] [Accepted: 04/22/2024] [Indexed: 06/21/2024]
Abstract
OBJECTIVES Hyper- or isointensity in the hepatobiliary phase (HBP) of gadoxetic acid-enhanced MRI has high specificity for focal nodular hyperplasia (FNH) but may be present in hepatocellular adenoma and carcinoma (HCA/HCC). This study aimed to identify imaging characteristics differentiating FNH and HCA/HCC. MATERIALS AND METHODS This multicenter retrospective cohort study included patients with pathology-proven FNH or HCA/HCC, hyper-/isointense in the HBP of gadoxetic acid-enhanced MRI between 2010 and 2020. Diagnostic performance of imaging characteristics for the differentiation between FNH and HCA/HCC were reported. Univariable analyses, multivariable logistic regression analyses, and classification and regression tree (CART) analyses were conducted. Sensitivity analyses evaluated imaging characteristics of B-catenin-activated HCA. RESULTS In total, 124 patients (mean age 40 years, standard deviation 10 years, 108 female) with 128 hyper-/isointense lesions were included. Pathology diagnoses were FNH and HCA/HCC in 64 lesions (50%) and HCA/HCC in 64 lesions (50%). Imaging characteristics observed exclusively in HCA/HCC were raster and atoll fingerprint patterns in the HBP, sinusoidal dilatation on T2-w, hemosiderin, T1-w in-phase hyperintensity, venous washout, and nodule-in-nodule partification in the HBP and T2-w. Multivariable logistic regression and CART additionally found a T2-w scar indicating FNH, less than 50% fat, and a spherical contour indicating HCA/HCC. In our selected cohort, 14/48 (29%) of HCA were B-catenin activated, most (13/14) showed extensive hyper-/isointensity, and some had a T2-w scar (4/14, 29%). CONCLUSION If the aforementioned characteristics typical for HCA/HCC are encountered in lesions extensively hyper- to isointense, further investigation may be warranted to exclude B-catenin-activated HCA. CLINICAL RELEVANCE Hyper- or isointensity in the HBP of gadoxetic acid-enhanced MRI is specific for FNH, but HCA/HCC can also exhibit this feature. Therefore, we described imaging patterns to differentiate these entities. KEY POINTS FNH and HCA/HCC have similar HBP intensities but have different malignant potentials. Six imaging patterns exclusive to HCA/HCC were identified in this lesion population. These features in liver lesions hyper- to isointense in the HBP warrant further evaluation.
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Affiliation(s)
- Alicia Furumaya
- Department of Surgery, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Amsterdam, The Netherlands.
| | - François E J A Willemssen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Razvan L Miclea
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht University, Maastricht, The Netherlands
| | - Martijn P D Haring
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Robbert J de Haas
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Shirin Feshtali
- Department of Radiology, Leiden UMC, Leiden University, Leiden, The Netherlands
| | - Inge J S Vanhooymissen
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Department of Radiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Robert A de Man
- Department of Gastroenterology and Hepatology, Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jan N M Ijzermans
- Department of Surgery, Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Joris I Erdmann
- Department of Surgery, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Joanne Verheij
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Michail C Doukas
- Department of Pathology, Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Otto M van Delden
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Maarten G J Thomeer
- Department of Radiology and Nuclear Medicine, Erasmus MC, Erasmus University Rotterdam, Rotterdam, The Netherlands
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11
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Ronot M. Illuminating the shades of hyper- to isointense lesions in hepatobiliary phase imaging. Eur Radiol 2024; 34:7659-7660. [PMID: 38981895 DOI: 10.1007/s00330-024-10894-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 04/23/2024] [Accepted: 05/03/2024] [Indexed: 07/11/2024]
Affiliation(s)
- Maxime Ronot
- Department of Radiology, Beaujon Hospital APHP.Nord, Clichy, France.
- Université Paris Cité, CRI INSERM URM 1149, Paris, France.
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12
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Chen L, Xu J, Liu D, Ji B, Wang J, Zeng X, Zhang J, Feng L. High-resolution free-breathing hepatobiliary phase MRI of the liver using XD-GRASP. Magn Reson Imaging 2024; 109:42-48. [PMID: 38447629 DOI: 10.1016/j.mri.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/25/2024] [Accepted: 03/01/2024] [Indexed: 03/08/2024]
Abstract
PURPOSE To evaluate the performance of high-resolution free-breathing (FB) hepatobiliary phase imaging of the liver using the eXtra-Dimension Golden-angle RAdial Sparse Parallel (XD-GRASP) MRI technique. METHODS Fifty-eight clinical patients (41 males, mean age = 52.9 ± 12.9) with liver lesions who underwent dynamic contrast-enhanced MRI with a liver-specific contrast agent were prospectively recruited for this study. Both breath-hold volumetric interpolated examination (BH-VIBE) imaging and FB imaging were performed during the hepatobiliary phase. FB images were acquired using a stack-of-stars golden-angle radial sequence and were reconstructed using the XD-GRASP method. Two experienced radiologists blinded to acquisition schemes independently scored the overall image quality, liver edge sharpness, hepatic vessel clarity, conspicuity of lesion, and overall artifact level of each image. The non-parametric paired two-tailed Wilcoxon signed-rank test was used for statistical analysis. RESULTS Compared to BH-VIBE images, XD-GRASP images received significantly higher scores (P < 0.05) for the liver edge sharpness (4.83 ± 0.45 vs 4.29 ± 0.46), the hepatic vessel clarity (4.64 ± 0.67 vs 4.15 ± 0.56) and the conspicuity of lesion (4.75 ± 0.53 vs 4.31 ± 0.50). There were no significant differences (P > 0.05) between BH-VIBE and XD-GRASP images for the overall image quality (4.61 ± 0.50 vs 4.74 ± 0.47) and the overall artifact level (4.13 ± 0.44 vs 4.05 ± 0.61). CONCLUSION Compared to conventional BH-VIBE MRI, FB radial acquisition combined with XD-GRASP reconstruction facilitates higher spatial resolution imaging of the liver during the hepatobiliary phase. This enhancement can significantly improve the visualization and evaluation of the liver.
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Affiliation(s)
- Lihua Chen
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Jian Xu
- Department of General Surgery, 904th Hospital, Wuxi, Jiangsu, China
| | - Daihong Liu
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Bing Ji
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xianchun Zeng
- Department of Radiology, Guizhou Provincial People's Hospital, Guizhou, China.
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.
| | - Li Feng
- Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY 10016, USA
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13
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Rybczynska DN, Markiet KE, Pienkowska JM, Szurowska E, Frydrychowski A. To assess the quantitative features of focal liver lesions in gadoxetic acid enhanced MRI and to determine whether these features can accurately differentiate benign form malignant lesions. Eur J Radiol 2024; 171:111288. [PMID: 38194844 DOI: 10.1016/j.ejrad.2024.111288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/07/2023] [Accepted: 01/02/2024] [Indexed: 01/11/2024]
Abstract
PURPOSE The study aims at assessing the quantitative features which distinguish focal liver lesions (FLLs) in gadoxetic acid (GA) enhanced liver MRI and at determining whether these features can accurately differentiate benign from malignant lesions. MATERIAL AND METHODS 107 patients with 180 unequivocal FLLs in previous examinations were included in a single-center retrospective study. All patients underwent a MRI test of the liver with GA. 99 benign and 74 malignant lesions were included. The group of benign lesions consisted of 60 focal nodular hyperplasias (FNH), 22 hemangiomas (HMG), 6 hepatic adenomas (HA), and 11 other benign lesions (1 angiomyolipioma, 6 lesions histopathology diagnoses as benign without further specification, or ones lacking features of malignancy, and 4 lesions radiologically diagnosed as benign which remained stable in the follow-up studies). The group of malignant lesions consisted of primary 51 hepatocellular carcinomas, 12 metastases, and 11 metastases from melanoma malignum (MM meta). 7 FLLs were excluded (4 cases of uncertain histopathological diagnosis, 2 cholangiocarcinomas, and 1 regenerative nodule). For the included lesions ROI (region of interest) measurements were taken by two observers in the T2-w, ADC (apparent diffusion coefficient) and in the T1-w sequence in the hepatobiliary phase (HBP). The interobserver agreement was evaluated with the Wilcoxon test. The Kruskal - Wallis, Mann - Whitney U and post hoc Dunn's tests were applied to assess if there were any significant differences in the ROI values between individual lesions. The variables with the p values of < 0.05 were considered statistically significant. RESULTS We found significant differences in the ROI values between lesions with p < 0.0001. Strikingly high ROI values in the T2-w sequence were found for HMG. The lowest ADC values were encountered for metastases and MM metastases. The highest ROI values in the HBP were found for FNH, and the lowest for metastases. We also found statistically significant differences in the ROI values between benign and malignant lesions with benign lesions presenting statistically higher ROI values compared to malignant lesions. CONCLUSIONS There were significant differences in the ROI values among different types of FLLs. The predominant quantitative feature in the T2-w sequence was a strikingly high ROI value for HMG. Benign lesions presented statistically higher ROI values in the T2-w, ADC, and HBP sequences compared to malignant lesions. This was true for all lesions except for HA.
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Affiliation(s)
- Dorota N Rybczynska
- 2(nd) Department of Radiology, Medical University of Gdansk, Gdansk, Poland; Institute of Human Physiology, Medical University of Gdansk, Gdansk, Poland.
| | - Karolina E Markiet
- 2(nd) Department of Radiology, Medical University of Gdansk, Gdansk, Poland.
| | - Joanna M Pienkowska
- 2(nd) Department of Radiology, Medical University of Gdansk, Gdansk, Poland.
| | - Edyta Szurowska
- 2(nd) Department of Radiology, Medical University of Gdansk, Gdansk, Poland.
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14
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Aslan S, Onder RO, Sulun E, Taşdemir MN. Evaluation of qualitative and quantitative imaging features of hepatic hemangiomas with and without pseudo-washout sign on gadoxetic acid-enhanced MRI: a descriptive and comparative study. Acta Radiol 2024; 65:23-32. [PMID: 37264586 DOI: 10.1177/02841851231177399] [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] [Indexed: 06/03/2023]
Abstract
BACKGROUND Hepatic hemangiomas are the most common benign liver tumors. It is important to know the imaging features of hemangiomas on gadoxetic acid (GA)-enhanced magnetic resonance imaging (MRI). PURPOSE To evaluate the qualitative and quantitative imaging features of hemangiomas on GA-enhanced MRI, and to compare imaging features of hemangiomas with and without pseudo-washout sign (PWS). MATERIAL AND METHODS We retrospectively included 93 cases of hemangioma that underwent GA-enhanced MRI. The presence of an enhancement pattern in the arterial phase (AP) and PWSs in the transitional phase (TP) were evaluated. Signal-to-norm ratios (SINorm) of hemangiomas, liver parenchyma, and portal vein (PV) as well as contrast-to-norm ratio (CNorm) were assessed. Additionally, hemangiomas with and without PWSs were defined as two separate subgroups, and imaging features were compared. RESULTS Of the 93 cases of hemangiomas, 49 (52.6%) had PWSs in the TP. The mean SINorms of hemangiomas showed the highest value in the AP (P < 0.05). The mean CNorms showed positive values in the AP, and gradually decreased (P < 0.05). Hemangiomas with PWSs were significantly rapidly enhanced and smaller in size (P < 0.05), and the mean SINorms was lower in the TP (P = 0.023). While the mean CNorms showed a significant difference in the AP between subgroups (P < 0.001), the enhancement pattern was equal to that of the PV. CONCLUSION When evaluating GA-enhanced MRI, radiologists should utilize quantitative measures in addition to qualitative assessment and should be aware that SI matching with PV in all phases can be a distinguishing finding in the diagnosis of hemangioma.
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Affiliation(s)
- Serdar Aslan
- Department of Radiology, Giresun University Faculty of Medicine, Giresun, Turkey
| | - Ramazan Orkun Onder
- Department of Radiology, Giresun University Faculty of Medicine, Giresun, Turkey
| | - Emrah Sulun
- Department of Radiology, Giresun University Faculty of Medicine, Giresun, Turkey
| | - Merve Nur Taşdemir
- Department of Radiology, Giresun University Faculty of Medicine, Giresun, Turkey
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15
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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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16
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Kadi D, Yamamoto MF, Lerner EC, Jiang H, Fowler KJ, Bashir MR. Imaging prognostication and tumor biology in hepatocellular carcinoma. JOURNAL OF LIVER CANCER 2023; 23:284-299. [PMID: 37710379 PMCID: PMC10565542 DOI: 10.17998/jlc.2023.08.29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/26/2023] [Accepted: 08/29/2023] [Indexed: 09/16/2023]
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver malignancy, and represents a significant global health burden with rising incidence rates, despite a more thorough understanding of the etiology and biology of HCC, as well as advancements in diagnosis and treatment modalities. According to emerging evidence, imaging features related to tumor aggressiveness can offer relevant prognostic information, hence validation of imaging prognostic features may allow for better noninvasive outcomes prediction and inform the selection of tailored therapies, ultimately improving survival outcomes for patients with HCC.
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Affiliation(s)
- Diana Kadi
- Department of Radiology, Duke University Medical Center, Durham, NC, USA
| | - Marilyn F. Yamamoto
- Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Emily C. Lerner
- Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Kathryn J. Fowler
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Mustafa R. Bashir
- Department of Radiology, Duke University, Durham, NC, USA
- Division of Hepatology, Department of Medicine, Duke University, Durham, NC, USA
- Center for Advanced Magnetic Resonance Development, Duke University, Durham, NC, USA
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17
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Chen X, Chen Y, Chen H, Zhu J, Huang R, Xie J, Zhang T, Xie A, Li Y. Machine learning based on gadoxetic acid-enhanced MRI for differentiating atypical intrahepatic mass-forming cholangiocarcinoma from poorly differentiated hepatocellular carcinoma. Abdom Radiol (NY) 2023; 48:2525-2536. [PMID: 37169988 DOI: 10.1007/s00261-023-03870-9] [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: 11/29/2022] [Revised: 02/23/2023] [Accepted: 02/23/2023] [Indexed: 05/13/2023]
Abstract
PURPOSE The study was to develop a Gd-EOB-DTPA-enhanced MRI radiomics model for differentiating atypical intrahepatic mass-forming cholangiocarcinoma (aIMCC) from poorly differentiated hepatocellular carcinoma (pHCC). MATERIALS AND METHODS A total of 134 patients (51 aIMCC and 83 pHCC) who underwent Gadoxetic acid-enhanced MRI between March 2016 and March 2022 were enrolled in this study and then randomly assigned to the training and validation cohorts by 7:3 (93 patients and 41 patients, respectively). The radiomics features were extracted from the hepatobiliary phase of Gadoxetic acid-enhanced MRI. In the training cohort, the SelectKBest and the least absolute shrinkage and selection operator (LASSO) were used to select the radiomics features. The clinical, radiomics, and clinical-radiomics model were established using four machine learning algorithms. The performance of the model was evaluated by the receiver operating characteristic (ROC) curve. Comparison of the radiomics and clinical-radiomics model was done by the Delong test. The clinical usefulness of the model was evaluated using decision curve analysis (DCA). RESULTS In 1132 extracted radiomic features, 15 were selected to develop radiomics signature. For identifying aIMCC and pHCC, the radiomics model constructed by random forest algorithm showed the high performance (AUC = 0.90) in the training cohort. The performance of the clinical-radiomics model (AUC = 0.89) was not significantly different (P = 0.88) from that of the radiomics model constructed by random forest algorithm (AUC = 0.86) in the validation cohort. DCA demonstrated that the clinical-radiomics model constructed by random forest algorithm had a high net clinical benefit. CONCLUSION The clinical-radiomics model is an effective tool to distinguish aIMCC from pHCC and may provide additional value for the development of treatment plans.
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Affiliation(s)
- Xiang Chen
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, People's Republic of China
| | - Ying Chen
- Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Youth Middle Road 60#, Nantong, Jiangsu, People's Republic of China
| | - Haobo Chen
- Department of Radiology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), NO.61 Jiefang East Road, Changsha, 410005, Hunan, People's Republic of China
| | - Jingfen Zhu
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, People's Republic of China
| | - Renjun Huang
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, People's Republic of China
| | - Junjian Xie
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, People's Republic of China
- Department of Radiology, Affiliated Hospital of Jiangnan, Wuxi, 214086, People's Republic of China
| | - Tao Zhang
- Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Youth Middle Road 60#, Nantong, Jiangsu, People's Republic of China.
| | - An Xie
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, People's Republic of China.
- Department of Radiology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), NO.61 Jiefang East Road, Changsha, 410005, Hunan, People's Republic of China.
| | - Yonggang Li
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, People's Republic of China.
- Institute of Medical Imaging, Soochow University, Suzhou, Jiangsu, 215000, People's Republic of China.
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Shizi Street 188#, Suzhou, Jiangsu, 215000, People's Republic of China.
- Suzhou Key Laboratory of Intelligent Medicine and Equipment, Suzhou, 215123, People's Republic of China.
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18
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Corallo C, Bell J, Laverty A, Mohsin M, Prasad R, Albazaz R. Suspected focal nodular hyperplasia in male adults: 10-year experience from a large liver centre. Abdom Radiol (NY) 2023; 48:2292-2301. [PMID: 37043025 DOI: 10.1007/s00261-023-03896-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/20/2023] [Accepted: 03/21/2023] [Indexed: 04/13/2023]
Abstract
PURPOSE Focal nodular hyperplasia (FNH) is commonly found in females of reproductive age. In males, the diagnosis is made more cautiously due to its lower incidence and higher incidence of hepatocellular carcinoma, which can have overlapping imaging features. Follow-up or biopsy is sometimes required. This retrospective study aims to assess management of suspected FNH in male adult patients at our institution over a 10-year period. METHODS Male adults (≥ 18 years) suspected of having FNH from January 2010-June 2020 were identified using a departmental radiology information system search. Data was collected from radiology reports and patient pathway manager. RESULTS Of 342 patients with suspected FNH, 62 were male (18.1%; F:M of 4.5:1). We only included patients investigated and followed up by MRI, total of 57 patients. Median age was 40 years (range 18-74 years). Background liver disease present in 21/57 (36.8%), majority with hepatic steatosis. Average number of lesions per patient 1.7. 22/57 (38.6%) had at least one MRI follow-up using liver-specific contrast with 7 lesions demonstrating variation in size (range growth: -3.27 mm/year to + 4 mm/year). In 7 cases, MRI was not definitive; 6 required biopsy and 1 resection. Only 2/7 demonstrated malignancy. Of the total 57 patients, 6 have deceased and none due to a misdiagnosed or mismanaged hepatic lesion. CONCLUSION FNH is relatively uncommon in males, however, our data suggests that lesions with typical MRI characteristics do not require follow-up and diagnosis can be made confidently, similar to females. Any atypical features should prompt a biopsy.
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Affiliation(s)
- Carmelo Corallo
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK.
| | - Joshua Bell
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK
| | - Adam Laverty
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK
| | - Maryam Mohsin
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK
| | - Raj Prasad
- Department of Hepatobiliary and Transplant Surgery, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Leeds, UK
| | - Raneem Albazaz
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK
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Carney BW, Larson MC, Corwin MT, Lamba R. Imaging of Hepatobiliary Cancer. Curr Probl Cancer 2023:100964. [PMID: 37321910 DOI: 10.1016/j.currproblcancer.2023.100964] [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: 12/29/2022] [Revised: 05/04/2023] [Accepted: 05/20/2023] [Indexed: 06/17/2023]
Abstract
The liver and biliary tree are common sites of primary and secondary malignancies. MRI followed by CT is the mainstay for the imaging characterization of these malignancies with the dynamically acquired contrast enhanced phases being the most important for diagnosis. The liver imaging reporting and data system classification provides a useful framework for reporting lesions in patents with underlying cirrhosis or who are at high risk for developing hepatocellular carcinoma. Detection of metastases is improved with the use of liver specific MRI contrast agents and diffusion weighted sequences. Aside from hepatocellular carcinoma, which is often diagnosed noninvasively, other primary hepatobiliary tumors may require biopsy for definite diagnosis, especially when presenting with nonclassic imaging findings. In this review, we examine the imaging findings of common and less common hepatobiliary tumors.
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Affiliation(s)
- Benjamin W Carney
- Department of Radiology, University of California, Davis Health System, Sacramento, California.
| | - Michael C Larson
- Department of Radiology, University of California, Davis Health System, Sacramento, California
| | - Michael T Corwin
- Department of Radiology, University of California, Davis Health System, Sacramento, California
| | - Ramit Lamba
- Department of Radiology, University of California, Davis Health System, Sacramento, California
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20
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Tse JR, Felker ER, Naini BV, Shen L, Shen J, Lu DSK, Kamaya A, Raman SS. Hepatocellular Adenomas: Molecular Basis and Multimodality Imaging Update. Radiographics 2023; 43:e220134. [PMID: 36821508 DOI: 10.1148/rg.220134] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Hepatocellular adenomas (HCAs) are a family of liver tumors that are associated with variable prognoses. Since the initial description of these tumors, the classification of HCAs has expanded and now includes eight distinct genotypic subtypes based on molecular analysis findings. These genotypic subtypes have unique derangements in their cellular biologic makeup that determine their clinical course and may allow noninvasive identification of certain subtypes. Multiphasic MRI performed with hepatobiliary contrast agents remains the best method to noninvasively detect, characterize, and monitor HCAs. HCAs are generally hypointense during the hepatobiliary phase; the β-catenin-mutated exon 3 subtype and up to a third of inflammatory HCAs are the exception to this characterization. It is important to understand the appearances of HCAs beyond their depictions at MRI, as these tumors are typically identified with other imaging modalities first. The two most feared related complications are bleeding and malignant transformation to hepatocellular carcinoma, although the risk of these complications depends on tumor size, subtype, and clinical factors. Elective surgical resection is recommended for HCAs that are persistently larger than 5 cm, adenomas of any size in men, and all β-catenin-mutated exon 3 HCAs. Thermal ablation and transarterial embolization are potential alternatives to surgical resection. In the acute setting of a ruptured HCA, patients typically undergo transarterial embolization with or without delayed surgical resection. This update on HCAs includes a review of radiologic-pathologic correlations by subtype and imaging modality, related complications, and management recommendations. © RSNA, 2023 Online supplemental material is available for this article. Quiz questions for this article are available through the Online Learning Center.
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Affiliation(s)
- Justin R Tse
- From the Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Room H-1307, Stanford, CA 94305 (J.R.T., L.S., J.S., A.K.); and Departments of Radiological Sciences (E.R.F., D.S.K.L., S.S.R.) and Pathology (B.V.N.), University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, CA
| | - Ely R Felker
- From the Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Room H-1307, Stanford, CA 94305 (J.R.T., L.S., J.S., A.K.); and Departments of Radiological Sciences (E.R.F., D.S.K.L., S.S.R.) and Pathology (B.V.N.), University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, CA
| | - Bita V Naini
- From the Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Room H-1307, Stanford, CA 94305 (J.R.T., L.S., J.S., A.K.); and Departments of Radiological Sciences (E.R.F., D.S.K.L., S.S.R.) and Pathology (B.V.N.), University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, CA
| | - Luyao Shen
- From the Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Room H-1307, Stanford, CA 94305 (J.R.T., L.S., J.S., A.K.); and Departments of Radiological Sciences (E.R.F., D.S.K.L., S.S.R.) and Pathology (B.V.N.), University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, CA
| | - Jody Shen
- From the Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Room H-1307, Stanford, CA 94305 (J.R.T., L.S., J.S., A.K.); and Departments of Radiological Sciences (E.R.F., D.S.K.L., S.S.R.) and Pathology (B.V.N.), University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, CA
| | - David S K Lu
- From the Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Room H-1307, Stanford, CA 94305 (J.R.T., L.S., J.S., A.K.); and Departments of Radiological Sciences (E.R.F., D.S.K.L., S.S.R.) and Pathology (B.V.N.), University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, CA
| | - Aya Kamaya
- From the Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Room H-1307, Stanford, CA 94305 (J.R.T., L.S., J.S., A.K.); and Departments of Radiological Sciences (E.R.F., D.S.K.L., S.S.R.) and Pathology (B.V.N.), University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, CA
| | - Steven S Raman
- From the Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Room H-1307, Stanford, CA 94305 (J.R.T., L.S., J.S., A.K.); and Departments of Radiological Sciences (E.R.F., D.S.K.L., S.S.R.) and Pathology (B.V.N.), University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, CA
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21
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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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22
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Ozaki K, Higuchi S, Kimura H, Gabata T. Liver Metastases: Correlation between Imaging Features and Pathomolecular Environments. Radiographics 2022; 42:1994-2013. [PMID: 36149824 DOI: 10.1148/rg.220056] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
A wide range of imaging manifestations of liver metastases can be encountered, as various primary cancers preferably metastasize to the liver (organ-specific metastases), with the imaging characteristics largely depending on various primary tumor-specific factors such as histopathologic category, degree of tumor differentiation, histologic behavior, and intratumor alterations. Characteristic imaging features potentially can help provide a more precise diagnosis in some clinical settings. These settings include those of (a) primary cancers of hollow organs such as gastrointestinal organs, the lungs, and the bladder, owing to the appearance of metastases that cannot be applied to the liver, which is a parenchymal organ; (b) unknown primary tumors; (c) more than one primary tumor; (d) another emergent malignancy; and (e) transformation to a different histopathologic tumor subtype. The characteristic features include the target sign on T2-weighted MR images or during the hepatobiliary phase of hypovascular metastasis, the peripheral rim washout sign on delayed phase images, peritumor hyperintensity during the hepatobiliary phase, hypervascular metastasis, a cystic appearance with marked hyperintensity on T2-weighted images, marked hyperintensity on T1-weighted images, calcification, capsular retraction, absence of the vessel-penetrating sign, distribution of liver metastases, and rare intraductal forms of metastases. In addition to various factors associated with the primary cancer, desmoplastic reactions around the tumor-which can be observed in adenocarcinomas with peripheral and peritumor enhancement, distinct arterioportal shunts with metastases from pancreatic ductal carcinoma, and pseudocirrhosis-also can affect these findings. The authors review the characteristic imaging findings of liver metastases from various primary cancers, with a focus on the mechanisms that underlie organ-specific liver metastases. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Kumi Ozaki
- From the Departments of Radiology (K.O., H.K.) and Pathology (S.H.), Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui 910-1193, Japan; and Department of Radiology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan (T.G.)
| | - Shohei Higuchi
- From the Departments of Radiology (K.O., H.K.) and Pathology (S.H.), Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui 910-1193, Japan; and Department of Radiology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan (T.G.)
| | - Hirohiko Kimura
- From the Departments of Radiology (K.O., H.K.) and Pathology (S.H.), Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui 910-1193, Japan; and Department of Radiology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan (T.G.)
| | - Toshifumi Gabata
- From the Departments of Radiology (K.O., H.K.) and Pathology (S.H.), Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui 910-1193, Japan; and Department of Radiology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan (T.G.)
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23
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Katabathina VS, Khanna L, Surabhi VR, Minervini M, Shanbhogue K, Dasyam AK, Prasad SR. Morphomolecular Classification Update on Hepatocellular Adenoma, Hepatocellular Carcinoma, and Intrahepatic Cholangiocarcinoma. Radiographics 2022; 42:1338-1357. [PMID: 35776676 DOI: 10.1148/rg.210206] [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
Hepatocellular adenomas (HCAs), hepatocellular carcinomas (HCCs), and intrahepatic cholangiocarcinomas (iCCAs) are a highly heterogeneous group of liver tumors with diverse pathomolecular features and prognoses. High-throughput gene sequencing techniques have allowed discovery of distinct genetic and molecular underpinnings of these tumors and identified distinct subtypes that demonstrate varied clinicobiologic behaviors, imaging findings, and complications. The combination of histopathologic findings and molecular profiling form the basis for the morphomolecular classification of liver tumors. Distinct HCA subtypes with characteristic imaging findings and complications include HNF1A-inactivated, inflammatory, β-catenin-activated, β-catenin-activated inflammatory, and sonic hedgehog HCAs. HCCs can be grouped into proliferative and nonproliferative subtypes. Proliferative HCCs include macrotrabecular-massive, TP53-mutated, scirrhous, clear cell, fibrolamellar, and sarcomatoid HCCs and combined HCC-cholangiocarcinoma. Steatohepatitic and β-catenin-mutated HCCs constitute the nonproliferative subtypes. iCCAs are classified as small-duct and large-duct types on the basis of the level of bile duct involvement, with significant differences in pathogenesis, molecular signatures, imaging findings, and biologic behaviors. Cross-sectional imaging modalities, including multiphase CT and multiparametric MRI, play an essential role in diagnosis, staging, treatment response assessment, and surveillance. Select imaging phenotypes can be correlated with genetic abnormalities, and identification of surrogate imaging markers may help avoid genetic testing. Improved understanding of morphomolecular features of liver tumors has opened new areas of research in the targeted therapeutics and management guidelines. The purpose of this article is to review imaging findings of select morphomolecular subtypes of HCAs, HCCs, and iCCAs and discuss therapeutic and prognostic implications. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Venkata S Katabathina
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (V.S.K., L.K.); Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (V.R.S., S.R.P.); Departments of Pathology (M.M.) and Radiology (A.K.D.), University of Pittsburgh Medical Center, Pittsburgh, Pa; and Department of Radiology, NYU Medical Center, New York, NY (K.S.)
| | - Lokesh Khanna
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (V.S.K., L.K.); Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (V.R.S., S.R.P.); Departments of Pathology (M.M.) and Radiology (A.K.D.), University of Pittsburgh Medical Center, Pittsburgh, Pa; and Department of Radiology, NYU Medical Center, New York, NY (K.S.)
| | - Venkateswar R Surabhi
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (V.S.K., L.K.); Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (V.R.S., S.R.P.); Departments of Pathology (M.M.) and Radiology (A.K.D.), University of Pittsburgh Medical Center, Pittsburgh, Pa; and Department of Radiology, NYU Medical Center, New York, NY (K.S.)
| | - Marta Minervini
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (V.S.K., L.K.); Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (V.R.S., S.R.P.); Departments of Pathology (M.M.) and Radiology (A.K.D.), University of Pittsburgh Medical Center, Pittsburgh, Pa; and Department of Radiology, NYU Medical Center, New York, NY (K.S.)
| | - Krishna Shanbhogue
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (V.S.K., L.K.); Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (V.R.S., S.R.P.); Departments of Pathology (M.M.) and Radiology (A.K.D.), University of Pittsburgh Medical Center, Pittsburgh, Pa; and Department of Radiology, NYU Medical Center, New York, NY (K.S.)
| | - Anil K Dasyam
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (V.S.K., L.K.); Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (V.R.S., S.R.P.); Departments of Pathology (M.M.) and Radiology (A.K.D.), University of Pittsburgh Medical Center, Pittsburgh, Pa; and Department of Radiology, NYU Medical Center, New York, NY (K.S.)
| | - Srinivasa R Prasad
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (V.S.K., L.K.); Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (V.R.S., S.R.P.); Departments of Pathology (M.M.) and Radiology (A.K.D.), University of Pittsburgh Medical Center, Pittsburgh, Pa; and Department of Radiology, NYU Medical Center, New York, NY (K.S.)
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24
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LeGout JD, Bolan CW, Bowman AW, Caserta MP, Chen FK, Cox KL, Sanyal R, Toskich BB, Lewis JT, Alexander LF. Focal Nodular Hyperplasia and Focal Nodular Hyperplasia-like Lesions. Radiographics 2022; 42:1043-1061. [PMID: 35687520 DOI: 10.1148/rg.210156] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Focal nodular hyperplasia (FNH) is a benign lesion occurring in a background of normal liver. FNH is seen most commonly in young women and can often be accurately diagnosed at imaging, including CT, MRI, or contrast-enhanced US. In the normal liver, FNH frequently must be differentiated from hepatocellular adenoma, which although benign, is managed differently because of the risks of hemorrhage and malignant transformation. When lesions that are histologically identical to FNH occur in a background of abnormal liver, they are termed FNH-like lesions. These lesions can be a source of diagnostic confusion and must be differentiated from malignancies. Radiologists' familiarity with the imaging appearance of FNH-like lesions and knowledge of the conditions that predispose a patient to their formation are critical to minimizing the risks of unnecessary intervention for these lesions, which are rarely symptomatic and carry no risk for malignant transformation. FNH is thought to form secondary to an underlying vascular disturbance, a theory supported by the predilection for formation of FNH-like lesions in patients with a variety of hepatic vascular abnormalities. These include abnormalities of hepatic outflow such as Budd-Chiari syndrome, abnormalities of hepatic inflow such as congenital absence of the portal vein, and hepatic microvascular disturbances, such as those that occur after exposure to certain chemotherapeutic agents. Familiarity with the imaging appearances of these varied conditions and knowledge of their association with formation of FNH-like lesions allow radiologists to identify with confidence these benign lesions that require no intervention. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Jordan D LeGout
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Candice W Bolan
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Andrew W Bowman
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Melanie P Caserta
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Frank K Chen
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Kelly L Cox
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Rupan Sanyal
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Beau B Toskich
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Jason T Lewis
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Lauren F Alexander
- From the Department of Radiology (J.D.L., C.W.B., A.W.B., M.P.C., F.K.C., K.L.C., R.S., B.B.T., L.F.A.) and Department of Laboratory Medicine and Pathology (J.T.L.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
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Tan CH, Chou SC, Inmutto N, Ma K, Sheng R, Shi Y, Zhou Z, Yamada A, Tateishi R. Gadoxetate-Enhanced MRI as a Diagnostic Tool in the Management of Hepatocellular Carcinoma: Report from a 2020 Asia-Pacific Multidisciplinary Expert Meeting. Korean J Radiol 2022; 23:697-719. [PMID: 35555884 PMCID: PMC9240294 DOI: 10.3348/kjr.2021.0593] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 02/21/2022] [Accepted: 03/17/2022] [Indexed: 12/04/2022] Open
Abstract
Gadoxetate magnetic resonance imaging (MRI) is widely used in clinical practice for liver imaging. For optimal use, we must understand both its advantages and limitations. This article is the outcome of an online advisory board meeting and subsequent discussions by a multidisciplinary group of experts on liver diseases across the Asia-Pacific region, first held on September 28, 2020. Here, we review the technical considerations for the use of gadoxetate, its current role in the management of patients with hepatocellular carcinoma (HCC), and its relevance in consensus guidelines for HCC imaging diagnosis. In the latter part of this review, we examine recent evidence evaluating the impact of gadoxetate on clinical outcomes on a continuum from diagnosis to treatment decision-making and follow-up. In conclusion, we outline the potential future roles of gadoxetate MRI based on an evolving understanding of the clinical utility of this contrast agent in the management of patients at risk of, or with, HCC.
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Affiliation(s)
- Cher Heng Tan
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
| | - Shu-Cheng Chou
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei City & Institute of Clinical Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Nakarin Inmutto
- Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Ke Ma
- Department of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - RuoFan Sheng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - YingHong Shi
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhongguo Zhou
- Department of Hepatobiliary Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Akira Yamada
- Department of Radiology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Ryosuke Tateishi
- Department of Gastroenterology, The University of Tokyo Hospital, Tokyo, Japan
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Tanji Y, Furukawa K, Igarashi Y, Yanagaki M, Haruki K, Shirai Y, Taniai T, Gocho T, Okui N, Ikegami T. Living donor liver transplantation for idiopathic portal hypertension with focal nodular hyperplasia. Surg Case Rep 2022; 8:73. [PMID: 35445894 PMCID: PMC9023646 DOI: 10.1186/s40792-022-01428-3] [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: 02/22/2022] [Accepted: 04/12/2022] [Indexed: 11/10/2022] Open
Abstract
The patient was a 61-year-old woman with a history of diabetes mellitus who had undergone ileocecal resection for ascending colon carcinoma 5 years earlier, followed by a postoperative adjuvant chemotherapy with XELOX (capecitabine + oxaliplatin). During follow-up, the liver gradually atrophied, and radiological imaging showed suspicious findings of 20 × 14 mm hepatocellular carcinoma (HCC) in the right lobe of the liver. The patient also underwent endoscopic variceal ligation for the esophageal varices. She was referred to our hospital for living donor liver transplantation (LDLT) due to decompensated liver cirrhosis with HCC. The patient did not have hepatitis B or C, and history of alcohol, suggesting that her liver cirrhosis was caused by a non-alcoholic steatohepatitis. The Child-Pugh score was 10 points (class C) and the Model for End-Stage Liver Disease (MELD) score was 8 points. The possibility of HCC could not be ruled out, and LDLT was performed. Postoperative pathological examination revealed idiopathic portal hypertension (IPH), and the mass lesion was diagnosed as focal nodular hyperplasia (FNH). The postoperative course was uneventful and the patient was discharged on postoperative day 14. This is the first case of liver transplantation for IPH with FNH.
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Affiliation(s)
- Yoshiaki Tanji
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Kenei Furukawa
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
| | - Yosuke Igarashi
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Mitsuru Yanagaki
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Koichiro Haruki
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Yoshihiro Shirai
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Tomohiko Taniai
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Takeshi Gocho
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Norimitsu Okui
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Toru Ikegami
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
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Zheng W, Huang H, She D, Xiong M, Chen X, Lin X, Cao D. Added-value of ancillary imaging features for differentiating hepatocellular carcinoma from intrahepatic mass-forming cholangiocarcinoma on Gd-BOPTA-enhanced MRI in LI-RADS M. Abdom Radiol (NY) 2022; 47:957-968. [PMID: 34964069 DOI: 10.1007/s00261-021-03380-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 01/02/2023]
Abstract
OBJECTIVE To identify the reliable imaging features and added-value of ancillary imaging features for differentiating hepatocellular carcinoma (HCC) and intrahepatic mass-forming cholangiocarcinoma (IMCC) assigned to LI-RADS M on Gd-BOPTA-enhanced MRI. METHODS This retrospective study included 116 liver observations assigned to LI-RADS M, including 82 HCC and 34 IMCC histologically confirmed. Before and after adding ancillary imaging features, all variables with a p-value of < 0.05 in univariable analysis were entered into a multivariable logistic regression analysis to build diagnostic model 1 and model 2 to find reliable predictors of HCC diagnosis. Receiver operating characteristic (ROC) analysis and the DeLong test were used to compare the two models. RESULTS Forty-nine of 82(59.8%) HCCs had a considerably higher frequency of enhancing "capsule" compared with IMCCs (p < 0.001). Based on LI-RADS major and LR-M features and clinical-pathologic factors, an elevated AFP level (OR = 10.676, 95%CI = 2.125-4.470, p = 0.004) and enhancing "capsule" (OR = 20.558, 95%CI = 4.470-94.550, p < 0.001) were extracted as independent risk factors in Model 1. After adding ancillary imaging features, Male (OR = 23.452, 95%CI = 1.465-375.404, p = 0.026), enhancing "capsule" (OR = 13.161, 95%CI = 1.725-100.400, p = 0.013), septum (OR = 17.983, 95%CI = 1.049-308.181, p = 0.046), small-scale central HBP hyperintensity (OR = 44.386, 95%CI = 1.610-1223.484, p = 0.025) were confirmed as independent significant variables associated with HCC. Model 2 demonstrated significantly superior AUC (0.918 vs 0.845, p = 0.021) compared with Model 1. When any two or more predictors in model 2 were satisfied, sensitivity was 91.46%, and accuracy was at the top (87.93%). CONCLUSION Enhancing "capsule" was a reliable imaging feature to help identify HCC. Adding ancillary imaging features improved sensitivity and accuracy for HCC diagnosis with differentiation from IMCC in LR-M.
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Affiliation(s)
- Wanjing Zheng
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China
| | - Hongjie Huang
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China
| | - Dejun She
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China
| | - Meilian Xiong
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China
| | - Xiaodan Chen
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China
| | - Xiaojun Lin
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China
| | - Dairong Cao
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
- Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fujian, China.
- Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, the First Affiliated Hospital, Fujian Medical University, Fujian, China.
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28
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Chavhan GB, Farras Roca L, Coblentz AC. Liver magnetic resonance imaging: how we do it. Pediatr Radiol 2022; 52:167-176. [PMID: 33797616 DOI: 10.1007/s00247-021-05053-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 02/04/2021] [Accepted: 03/16/2021] [Indexed: 11/26/2022]
Abstract
Magnetic resonance imaging is used for evaluating focal liver lesions, hepatic vascular diseases, biliary diseases and diffuse liver diseases in children. MRI examinations take a long time, often requiring sedation or anesthesia in smaller children. This makes it essential to understand the concepts and technique necessary to obtain an optimal examination for answering the clinical question while minimizing the need for sedation/anesthesia. We discuss key concepts including appropriate sequence selection, choice of contrast media, dynamic imaging, phases of contrast enhancement and protocol organization.
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Affiliation(s)
- Govind B Chavhan
- Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Ave., Toronto, ON, M5G 1X8, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Lara Farras Roca
- Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Ave., Toronto, ON, M5G 1X8, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Ailish C Coblentz
- Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Ave., Toronto, ON, M5G 1X8, Canada.
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
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Consul N, Sirlin CB, Chernyak V, Fetzer DT, Masch WR, Arora SS, Do RKG, Marks RM, Fowler KJ, Borhani AA, Elsayes KM. Imaging Features at the Periphery: Hemodynamics, Pathophysiology, and Effect on LI-RADS Categorization. Radiographics 2021; 41:1657-1675. [PMID: 34559586 DOI: 10.1148/rg.2021210019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Liver lesions have different enhancement patterns at dynamic contrast-enhanced imaging. The Liver Imaging Reporting and Data System (LI-RADS) applies the enhancement kinetic of liver observations in its algorithms for imaging-based diagnosis of hepatocellular carcinoma (HCC) in at-risk populations. Therefore, careful analysis of the spatial and temporal features of these enhancement patterns is necessary to increase the accuracy of liver mass characterization. The authors focus on enhancement patterns that are found at or around the margins of liver observations-many of which are recognized and defined by LI-RADS, such as targetoid appearance, rim arterial phase hyperenhancement, peripheral washout, peripheral discontinuous nodular enhancement, enhancing capsule appearance, nonenhancing capsule appearance, corona enhancement, and periobservational arterioportal shunts-as well as peripheral and periobservational enhancement in the setting of posttreatment changes. Many of these are considered major or ancillary features of HCC, ancillary features of malignancy in general, features of non-HCC malignancy, features associated with benign entities, or features related to treatment response. Distinction between these different patterns of enhancement can help with achieving a more specific diagnosis of HCC and better assessment of response to local-regional therapy. ©RSNA, 2021.
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Affiliation(s)
- Nikita Consul
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Claude B Sirlin
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Victoria Chernyak
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - David T Fetzer
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - William R Masch
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Sandeep S Arora
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Richard K G Do
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Robert M Marks
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Kathryn J Fowler
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Amir A Borhani
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
| | - Khaled M Elsayes
- From the Department of Radiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (N.C.); University of California San Diego Health, San Diego, Calif (C.B.S., K.J.F.); Montefiore Medical Center, Bronx, NY (V.C.); University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); University of Michigan Medical School, Ann Arbor, Mich (W.R.M.); Yale School of Medicine, New Haven, Conn (S.S.A.); Memorial Sloan Kettering Cancer Center, New York, NY (R.K.G.D.); Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Northwestern University, Chicago, Ill (A.A.B.); and University of Texas MD Anderson Cancer Center, Houston, Tex (K.M.E.)
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30
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Bilreiro C, Soler JC, Ayuso JR, Caseiro-Alves F, Ayuso C. Diagnostic value of morphological enhancement patterns in the hepatobiliary phase of gadoxetic acid-enhanced MRI to distinguish focal nodular hyperplasia from hepatocellular adenoma. Radiol Med 2021; 126:1379-1387. [PMID: 34287759 DOI: 10.1007/s11547-021-01403-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/12/2021] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To describe the different morphological enhancement patterns of focal nodular hyperplasia (FNH) and hepatocellular adenoma (HCA) in the hepatobiliary phase (HBP) of gadoxetic acid-enhanced MRI (Gd-EOB-DTPA MRI) and to determine their added value in their differential diagnosis. METHODS A retrospective analysis of imaging findings in 185 benign hepatocellular lesions (154 FNH; 31 HCA) in 108 patients who underwent Gd-EOB-DTPA MRI was performed by two independent reviewers. Six patterns on HBP were recorded: 1) homogeneous enhancement; 2) peripheral ring-like enhancement with hypointense central core; 3) peripheral ring-like enhancement with hyperintense central core; 4) central core enhancement with hypointense periphery; 5) heterogeneous enhancement; and 6) the absence of enhancement. RESULTS Peripheral ring-like enhancement with hypointense central core and peripheral ring-like enhancement with hyperintense central core showed the highest specificity for the diagnosis of FNH (100% and 96.8%, respectively). The absence of enhancement and central core enhancement with hypointense periphery were only present in 0.6% and 1.9% of FHN, respectively. All other patterns were observed with similar frequencies in FNH (22.1% to 26.6%). Six HCA showed contrast uptake on the HBP: homogeneous (6.5%), peripheral ring-like enhancement with hyperintense central core (3.2%) and heterogeneous (9.7%). CONCLUSION Both FNH and HCA may demonstrate enhancement in the HBP of Gd-EOB-DTPA MRI, limiting its specificity. A significant improvement in specificity can be achieved by the evaluation of morphological enhancement patterns: Peripheral ring-like enhancement with hypointense or hyperintense central core was highly specific for FNH diagnosis. On the other hand, the absence of HBP enhancement makes the diagnosis of FNH unlikely.
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Affiliation(s)
- Carlos Bilreiro
- Radiology Department, Champalimaud Clinical Centre, Lisbon, Portugal
- Pre-Clinical MRI, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
- Nova Medical School, Lisbon, Portugal
| | - Juan Carlos Soler
- Radiology Department, BCLC Group. Hospital Clínic, c/ Villarroel, 170. Escala 3, Planta 1., 08036, Barcelona, Spain
| | - Juan R Ayuso
- Radiology Department, BCLC Group. Hospital Clínic, c/ Villarroel, 170. Escala 3, Planta 1., 08036, Barcelona, Spain
| | - Filipe Caseiro-Alves
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Medical Imaging Department, Coimbra Hospital and University Centre, Coimbra, Portugal
| | - Carmen Ayuso
- Radiology Department, BCLC Group. Hospital Clínic, c/ Villarroel, 170. Escala 3, Planta 1., 08036, Barcelona, Spain.
- IDIBAPS. Centro de Investigación Biomédica en Red de Enfermedades Hepáticas Y Digestivas (CIBERehd), Clinic Liver Cancer Group (BCLC), Barcelona, Spain.
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31
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Choe MJ, Hinkel T, Berggruen SM. Imaging of Benign Hepatic lesions. Semin Ultrasound CT MR 2021; 42:347-365. [PMID: 34130848 DOI: 10.1053/j.sult.2021.04.002] [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
As abdominal imaging volumes have increased, the incidence of incidentally identified benign hepatic lesions has substantially increased. Familiarity with imaging appearances of benign hepatic tumors, both common and less commonly encountered, allows the radiologist to give an informed differential diagnosis. In addition to clinical history, awareness of imaging findings of benign hepatic lesions on ultrasound, computed tomography and magnetic resonance imaging is useful in evaluating these lesions and avoiding unnecessary diagnostic interventions or imaging surveillance.
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Affiliation(s)
- Michael J Choe
- Department of Radiology, Northwestern Memorial Hospital, Chicago, IL
| | - Tyler Hinkel
- Department of Radiology, Northwestern Memorial Hospital, Chicago, IL
| | - Senta M Berggruen
- Department of Radiology, Northwestern Memorial Hospital, Chicago, IL..
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32
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Hui CL, Mautone M. Patterns of enhancement in the hepatobiliary phase of gadoxetic acid-enhanced MRI. Br J Radiol 2020; 93:20190989. [PMID: 32462892 DOI: 10.1259/bjr.20190989] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
A variety of patterns of enhancement of liver lesions and liver parenchyma is observed in the hepatobiliary phase (HBP) of gadoxetic acid-enhanced MRI. It is becoming increasingly apparent that many lesions may exhibit HBP enhancement. Much of the literature regarding the role of gadoxetic acid-enhanced MRI in characterising liver lesions is dichotomous, focusing on whether lesions are enhancing or non-enhancing in the HBP, rather than examining the patterns of enhancement. We provide a pattern-based description of HBP enhancement of liver parenchyma and of liver lesions. The role of OATP1B3 transporters, hepatocyte function and lesion composition in influencing patterns of HBP hyperintensity are discussed.
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Affiliation(s)
- Cathryn L Hui
- Diagnostic Imaging Department, Monash Health, Melbourne, Australia
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33
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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: 0.8] [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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34
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Klompenhouwer AJ, de Man RA, Dioguardi Burgio M, Vilgrain V, Zucman‐Rossi J, Ijzermans JNM. New insights in the management of Hepatocellular Adenoma. Liver Int 2020; 40:1529-1537. [PMID: 32464711 PMCID: PMC7383747 DOI: 10.1111/liv.14547] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 04/30/2020] [Accepted: 05/21/2020] [Indexed: 12/12/2022]
Abstract
Hepatocellular adenoma (HCA) are benign liver tumours that may be complicated by haemorrhage or malignant transformation to hepatocellular carcinoma. Epidemiological data are fairly outdated, but it is likely to assume that the incidence has increased over the past decades as HCA are more often incidentally found due to the more widespread use of imaging techniques and the increased incidence of obesity. Various molecular subgroups have been described. Each of these molecular subgroups are defined by specific gene mutations and pathway activations. Additionally, they are all related to specific risk factors and show a various biological behaviour. These molecular subgroups may be identified using immunohistochemistry and molecular characterization. Contrast-enhanced MRI is the recommended imaging modality to analyse patients with suspected hepatocellular adenoma allowing to determine the subtype in up to 80%. Surgical resection remains to be the golden standard in treating HCA, although resection is deemed unnecessary in a large number of cases, as studies have shown that the majority of HCA will regress over time without complications such as haemorrhage or malignant transformation occurring. It is preferable to treat patients with suspected HCA in high volume centres with combined expertise of liver surgeons, hepatologists, radiologists and (molecular) pathologists.
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Affiliation(s)
| | - Robert A. de Man
- Department of Gastroenterology and HepatologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Marco Dioguardi Burgio
- Department of RadiologyHauts‐de‐SeineUniversity Hospitals Paris Nord Val de SeineBeaujon, APHPClichyFrance,Centre de Recherche sur l'inflammation (CRI)INSERM U1149et Université de ParisParisFrance
| | - Valerie Vilgrain
- Department of RadiologyHauts‐de‐SeineUniversity Hospitals Paris Nord Val de SeineBeaujon, APHPClichyFrance,Centre de Recherche sur l'inflammation (CRI)INSERM U1149et Université de ParisParisFrance
| | - Jessica Zucman‐Rossi
- Centre de Recherche des CordeliersSorbonne Université, INSERMUniversité de ParisParisFrance,Oncology DepartmentAPHPHôpital européen Georges PompidouParisFrance
| | - Jan N. M. Ijzermans
- Department of SurgeryErasmus MC University Medical CenterRotterdamthe Netherlands
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35
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Lalwani N. Invited Commentary on “Hyperintense Liver Masses at Hepatobiliary Phase Gadoxetic Acid–enhanced MRI”. Radiographics 2020; 40:94-97. [DOI: 10.1148/rg.2020190200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Neeraj Lalwani
- Department of Radiology, Wake Forest University and Baptist Health Winston-Salem, North Carolina
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