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Wang X, Chen D, Chen B. The Long-To-Short-Axis Ratio and Multifocality are Associated With TP53 Mutation Status in Surgically Resected Hepatocellular Carcinomas. Acad Radiol 2020; 27:1720-1726. [PMID: 29941397 DOI: 10.1016/j.acra.2018.04.021] [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: 11/29/2017] [Revised: 04/27/2018] [Accepted: 04/27/2018] [Indexed: 10/28/2022]
Abstract
RATIONALE AND OBJECTIVES In hepatocellular carcinoma (HCC), the tumor protein 53 (TP53) gene is frequently mutated and the mutations have been associated with poor prognosis. We aim to retrospectively identify the relationship between TP53 mutation status, tumor size (long-axis diameter, short-axis diameter, and long-to-short-axis ratio [L/S ratio]), margin and multifocality in surgically resected HCC. MATERIALS AND METHODS The image features and TP53 mutation data from 78 patients generated with National Cancer Institute's multi-institutional The Cancer Genome Atlas (TCGA)/The Cancer Imaging Archive databases were assessed. Binary logistic regression analyses were performed to identify independent factors of harboring TP53 mutation status. The final model was selected by using the backward elimination method. RESULTS TP53 mutations were found in 19 (31.5%) of 78 patients. TP53 mutation rates were significantly higher (a) in L/S ratio ≤ 1.2 14 of 41 [34.1%]) lesions than in L/S ratio >1.2 lesions (five of 37 [13.5%]) (p = 0.034) and (b) in nonmultifocality (17 of 54[31.5%]) than in multifocality lesions (two of 24 [8.3%]) (p = 0.028). On univariate logistic regression analysis, L/S ratio (≤1.20 vs >1.20. odds ratio [OR]: 3.319; p = 0.040; 95% confidence interval [CI]: 1.059-10.401 Area Under Curve (AUC) = 0.634) and multifocality (no vs yes OR: 5.054; p = 0.041; 95% CI: 1.065-23.986 AUC = 0.640) were associated with TP53 mutations. On multivariate logistic regression analysis, L/S ratio (≤1.20 vs >1.20 OR: 3.430; p = 0.040; 95% CI: 1.058-11.118) and multifocality (no vs yes OR: 5.232; p = 0.041; 95% CI: 1.072-25.526) were associated with TP53 mutations. The area under the receiver operating characteristic curve for predicting TP53 mutation status was 0.714 (95% CI: 0.590-0.837). CONCLUSION Our study focusing on identifying imaging aspects related to TP53 positive HCC. L/S ratio of HCC in combination with multifocality might be used to prognosticate TP53 mutation status. And the discriminatory power for this prediction model was good.
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152
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Liu Q, Li J, Liu F, Yang W, Ding J, Chen W, Wei Y, Li B, Zheng L. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy. Cancer Imaging 2020; 20:82. [PMID: 33198809 PMCID: PMC7667801 DOI: 10.1186/s40644-020-00360-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 10/28/2020] [Indexed: 02/07/2023] Open
Abstract
Background Hepatocellular carcinoma (HCC) is associated with a dismal prognosis, and prediction of the prognosis of HCC can assist in therapeutic decision-makings. An increasing number of studies have shown that the texture parameters of images can reflect the heterogeneity of tumors, and may have the potential to predict the prognosis of patients with HCC after surgical resection. The aim of this study was to investigate the prognostic value of computed tomography (CT) texture parameters in patients with HCC after hepatectomy and to develop a radiomics nomogram by combining clinicopathological factors and the radiomics signature. Methods In all, 544 eligible patients were enrolled in this retrospective study and were randomly divided into the training cohort (n = 381) and the validation cohort (n = 163). The tumor regions of interest (ROIs) were delineated, and the corresponding texture parameters were extracted. The texture parameters were selected by using the least absolute shrinkage and selection operator (LASSO) Cox model in the training cohort, and a radiomics signature was established. Then, the radiomics signature was further validated as an independent risk factor for overall survival (OS). The radiomics nomogram was established based on the Cox regression model. The concordance index (C-index), calibration plot and decision curve analysis (DCA) were used to evaluate the performance of the radiomics nomogram. Results The radiomics signature was formulated based on 7 OS-related texture parameters, which were selected in the training cohort. In addition, the radiomics nomogram was developed based on the following five variables: α-fetoprotein (AFP), platelet-to-lymphocyte ratio (PLR), largest tumor size, microvascular invasion (MVI) and radiomics score (Rad-score). The nomogram displayed good accuracy in predicting OS (C-index = 0.747) in the training cohort and was confirmed in the validation cohort (C-index = 0.777). The calibration plots also showed excellent agreement between the actual and predicted survival probabilities. The DCA indicated that the radiomics nomogram showed better clinical utility than the clinicopathologic nomogram. Conclusion The radiomics signature is a potential prognostic biomarker of HCC after hepatectomy. The radiomics nomogram that integrated the radiomics signature can provide a more accurate estimation of OS than the clinicopathologic nomogram for HCC patients after hepatectomy. Supplementary Information The online version contains supplementary material available at 10.1186/s40644-020-00360-9.
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Affiliation(s)
- Qinqin Liu
- Department of Liver Surgery, Center of Liver Transplantation, West China Hospital, Sichuan University, 37 Guo Xue Road, Chengdu, 610041, Sichuan Province, China.,Department of Hepatobiliary Surgery, the Second Affiliated Hospital of Army Medical University, No. 183 Xinqiao High Street, Shapingba District, Chongqing, 400037, China.,The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jing Li
- Department of Hepatobiliary Surgery, the Second Affiliated Hospital of Army Medical University, No. 183 Xinqiao High Street, Shapingba District, Chongqing, 400037, China
| | - Fei Liu
- Department of Liver Surgery, Center of Liver Transplantation, West China Hospital, Sichuan University, 37 Guo Xue Road, Chengdu, 610041, Sichuan Province, China
| | - Weilin Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jingjing Ding
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Weixia Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yonggang Wei
- Department of Liver Surgery, Center of Liver Transplantation, West China Hospital, Sichuan University, 37 Guo Xue Road, Chengdu, 610041, Sichuan Province, China
| | - Bo Li
- Department of Liver Surgery, Center of Liver Transplantation, West China Hospital, Sichuan University, 37 Guo Xue Road, Chengdu, 610041, Sichuan Province, China.
| | - Lu Zheng
- Department of Hepatobiliary Surgery, the Second Affiliated Hospital of Army Medical University, No. 183 Xinqiao High Street, Shapingba District, Chongqing, 400037, China.
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Abstract
With the increasing use of cross-sectional imaging, the detection of incidental liver lesions has become more common. Accurate and reliable characterisation of these is vital for optimal patient care. Owing to the great improvements in medical imaging technology in recent years, particularly magnetic resonance imaging, it is now possible to characterise a significant proportion of these non-invasively. This is of paramount importance in improving patient safety and reducing costs by avoiding unnecessary biopsies. This article gives a synopsis of the different imaging modalities for liver. It depicts the salient imaging features of the common benign and malignant focal liver lesions on different imaging modalities, with emphasis on magnetic resonance imaging. It demonstrates the pseudolesions, variants, mimics and pitfalls that occur in liver imaging. The tailored magnetic resonance imaging protocols including abbreviated ones, the contrast agents and the pathway for managing incidental liver lesions in the author's institution are covered.
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Affiliation(s)
- Anitha James
- Imaging Department, University Hospital of North Midlands, Stoke-on-Trent, UK
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154
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Wei H, Jiang H, Liu X, Qin Y, Zheng T, Liu S, Zhang X, Song B. Can LI-RADS imaging features at gadoxetic acid-enhanced MRI predict aggressive features on pathology of single hepatocellular carcinoma? Eur J Radiol 2020; 132:109312. [PMID: 33022551 DOI: 10.1016/j.ejrad.2020.109312] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/16/2020] [Accepted: 09/24/2020] [Indexed: 02/05/2023]
Abstract
PURPOSE To investigate whether Liver Imaging Reporting and Data System (LI-RADS) imaging features at preoperative gadoxetic acid-enhanced MRI can predict microvascular invasion (MVI) and histologic grade of hepatocellular carcinoma (HCC) and to evaluate their associations with recurrence after curative resection of single HCC. MATERIALS AND METHODS From July 2015 to September 2018, 111 consecutive patients with pathologically confirmed HCC who underwent gadoxetic acid-enhanced MRI within 1 month before surgery were included in this retrospective study. Significant MRI findings and clinical parameters for predicting MVI, high-grade HCCs and postoperative recurrence were identified by logistic regression model and Cox proportional hazards model. RESULTS Twenty-six of 111 (23.4 %) patients had MVI and 36 of 111 (32.4 %) patients had high-grade HCCs, whereas 44 of 95 (46.3 %) patients experienced recurrence. Tumor size > 5 cm (OR = 9.852; p < 0.001) and absence of nodule-in-nodule architecture (OR = 8.302; p = 0.001) were independent predictors of MVI. Enhancing capsule (OR = 4.396; p = 0.004) and corona enhancement (OR = 3.765; p = 0.021) were independent predictors of high-grade HCCs. Blood products in mass (HR = 2.275; p = 0.009), corona enhancement (HR = 4.332; p < 0.001), and serum AFP level > 400 ng/mL (HR = 2.071; p = 0.023) were independent predictors of recurrence. CONCLUSION LI-RADS imaging features can be used as potential biomarkers for predicting aggressive pathologic features and recurrence of HCC. The identification of prognostic LI-RADS imaging features may facilitate the selection of surgical candidates and optimize the management of HCC patients.
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Affiliation(s)
- Hong Wei
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Hanyu Jiang
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Xijiao Liu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Yun Qin
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Tianying Zheng
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | | | | | - Bin Song
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
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155
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Transjugular intrahepatic portosystemic shunt placement: portal vein puncture guided by 3D/2D image registration of contrast-enhanced multi-detector computed tomography and fluoroscopy. Abdom Radiol (NY) 2020; 45:3934-3943. [PMID: 32451673 PMCID: PMC7593285 DOI: 10.1007/s00261-020-02589-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Background To assess the technical feasibility, success rate, puncture complications and procedural characteristics of transjugular intrahepatic portosystemic shunt (TIPS) placement using a three-dimensional vascular map (3D-VM) overlay based on image registration of pre-procedural contrast-enhanced (CE) multi-detector computed tomography (MDCT) for portal vein puncture guidance. Materials and methods Overall, 27 consecutive patients (59 ± 9 years, 18male) with portal hypertension undergoing elective TIPS procedure were included. TIPS was guided by CE-MDCT overlay after image registration based on fluoroscopic images. A 3D-VM of the hepatic veins and the portal vein was created based on the pre-procedural CE-MDCT and superimposed on fluoroscopy in real-time. Procedural characteristics as well as hepatic vein catheterization time (HVCT), puncture time (PT), overall procedural time (OPT), fluoroscopy time (FT) and the dose area product (DAP) were evaluated. Thereafter, HVCT, PT, OPT and FT using 3D-VM (61 ± 9 years, 14male) were compared to a previous using classical fluoroscopic guidance (53 ± 9 years, 21male) for two interventional radiologist with less than 3 years of experience in TIPS placement. Results All TIPS procedure using of 3D/2D image registered 3D-VM were successful with a significant reduction of the PSG (p < 0.0001). No clinical significant complication occurred. HVCT was 14 ± 11 min, PT was 14 ± 6 min, OPT was 64 ± 29 min, FT was 21 ± 12 min and DAP was 107.48 ± 93.84 Gy cm2. HVCT, OPT and FT of the interventionalist with less TIPS experience using 3D/2D image registered 3D-VM were statistically different to an interventionalist with similar experience using fluoroscopic guidance (pHVCT = 0.0022; pOPT = 0.0097; pFT = 0.0009). PT between these interventionalists was not significantly different (pPT = 0.2905). Conclusion TIPS placement applying registration-based CE-MDCT vessel information for puncture guidance is feasible and safe. It has the potential to improve hepatic vein catherization, portal vein puncture and radiation exposure.
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156
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Shropshire E, Mamidipalli A, Wolfson T, Allen BC, Jaffe TA, Igarashi S, Higaki A, Tanabe M, Gamst A, Sirlin CB, Bashir MR. LI-RADS ancillary feature prediction of longitudinal category changes in LR-3 observations: an exploratory study. Abdom Radiol (NY) 2020; 45:3092-3102. [PMID: 32052132 DOI: 10.1007/s00261-020-02429-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
PURPOSE To determine whether LI-RADS ancillary features predict longitudinal LR-3 observation category changes. MATERIALS AND METHODS This exploratory, retrospective, single-center study with an independent reading center included patients who underwent two or more multiphase CT or MRI examinations for hepatocellular carcinoma assessment between 2011 and 2015. Three readers independently evaluated each observation using CT/MRI LI-RADS v2017, and observations categorized LR-3 using major features only were included in the analysis. Prevalence of major and ancillary features was calculated. After excluding low-frequency (< 5%) features, inter-reader agreement was assessed using intraclass correlation coefficient (ICC). Major and ancillary feature prediction of observation upgrade (to LR-4 or higher) or downgrade (to LR-1 or LR-2) on follow-up imaging was assessed using logistic regression. RESULTS 141 LR-3 observations in 79 patients were included. Arterial phase hyperenhancement, washout, restricted diffusion, mild-moderate T2 hyperintensity, and hepatobiliary phase hypointensity were frequent enough for further analysis (consensus prevalence 5.0-66.0%). ICCs for inter-reader agreement ranged from 0.18 for restricted diffusion to 0.48 for hepatobiliary phase hypointensity. On follow-up, 40% (57/141) of baseline LR-3 observations remained LR-3. 8% (11/141) were downgraded to LR-2, and 42% (59/141) were downgraded to LR-1. A small number were ultimately upgraded to LR-4 (2%, 3/141) or LR-5 (8%, 11/141). None of the assessed major or ancillary features was significantly associated with observation category change. Longer follow-up time was significantly associated with both observation upgrade and downgrade. CONCLUSION While numerous ancillary features are described in LI-RADS, most are rarely present and are not useful predictors of LR-3 observation category changes.
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Affiliation(s)
- Erin Shropshire
- Department of Radiology, Duke University Medical Center, Box 3808, Durham, NC, 27710, USA.
| | - Adrija Mamidipalli
- Liver Imaging Group, Department of Radiology, University of California, San Diego, 9500 Gilman Dr, San Diego, CA, 92093, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Brian C Allen
- Department of Radiology, Duke University Medical Center, Box 3808, Durham, NC, 27710, USA
| | - Tracy A Jaffe
- Department of Radiology, Duke University Medical Center, Box 3808, Durham, NC, 27710, USA
| | - Saya Igarashi
- Liver Imaging Group, Department of Radiology, University of California, San Diego, 9500 Gilman Dr, San Diego, CA, 92093, USA
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takaramachi, Kanazawa, 920-8641, Japan
| | - Atsushi Higaki
- Liver Imaging Group, Department of Radiology, University of California, San Diego, 9500 Gilman Dr, San Diego, CA, 92093, USA
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki-shi, Okayama, 701-0192, Japan
| | - Masahiro Tanabe
- Liver Imaging Group, Department of Radiology, University of California, San Diego, 9500 Gilman Dr, San Diego, CA, 92093, USA
- Department of Radiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi Ube, Yamaguchi, 755-850, Japan
| | - Anthony Gamst
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego, 9500 Gilman Dr, San Diego, CA, 92093, USA
| | - Mustafa R Bashir
- Department of Radiology, Duke University Medical Center, Box 3808, Durham, NC, 27710, USA
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157
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Kang HJ, Lee JM, Jeon SK, Jang S, Park S, Joo I, Yoon JH, Han JK. Intra-individual comparison of dual portal venous phases for non-invasive diagnosis of hepatocellular carcinoma at gadoxetic acid-enhanced liver MRI. Eur Radiol 2020; 31:824-833. [PMID: 32845387 DOI: 10.1007/s00330-020-07162-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/18/2020] [Accepted: 08/06/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVES To compare the diagnostic performances of first and second portal venous phases (PVP1 and PVP2) in revealing washout and capsule appearance for non-invasive HCC diagnoses in gadoxetic acid-enhanced MRI (Gd-EOB-MRI). METHODS This retrospective study included 123 at-risk patients with 160 hepatic observations (HCCs, n = 116; non-HCC malignancies, n = 18; benign, n = 26) showing arterial phase hyper-enhancement (APHE) ≥ 1 cm at Gd-EOB-MRI. The mean time intervals from gadoxetic acid injection to PVP1 and PVP2 acquisitions were 53 ± 2 s and 73 ± 3 s, respectively. After evaluating image findings independently, imaging findings and diagnoses were finalized by a consensus of two radiologists using either PVP1 or PVP2 image sets according to the LI-RADS v2018 or EASL criteria. Sensitivity, specificity, and accuracy were compared. RESULTS Among HCCs, more washout and enhancing capsule were observed in PVP2 (83.6% and 27.6%) than in PVP1 (50.9% and 19.8%) (p < 0.001, both). The PVP2 set presented significantly higher sensitivity (83.6% vs. 53.5%, LI-RADS; 82.8% vs. 50.0%, EASL; p < 0.001, both) and accuracy (0.88 vs. 0.73, LI-RADS; 0.88 vs. 0.72, EASL; p < 0.001, both) than the PVP1 set without significant specificity loss (93.2% vs. 93.2%, by LI-RADS or EASL; p = 0.32, both). None of the non-HCC malignancy was non-invasively diagnosed as HCC in both PVP image sets. CONCLUSION Late acquisition of PVP detected washout and enhancing capsule of HCC more sensitively than early acquisition, enabling accurate diagnoses of HCC, according to LI-RADS or EASL criteria. KEY POINTS • Among HCCs, more washout and enhancing capsules were observed in PVP2 than PVP1, quantitatively and qualitatively. • The portal venous phase acquired at around 70 s after contrast media administration (PVP2) provided significantly higher sensitivity and AUC value than PVP1 by using LI-RADS v2018 or EASL criteria. • More HCCs were categorized as LR-5 in PVP2 than in PVP1 images, and the specificity of PVP2 (93.5%) was comparable with PVP1 (93.5%).
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Affiliation(s)
- Hyo-Jin Kang
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea.,Department of Radiology, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul, 03080, South Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea. .,Department of Radiology, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul, 03080, South Korea. .,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea.
| | - Sun Kyung Jeon
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea.,Department of Radiology, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul, 03080, South Korea
| | - Siwon Jang
- Department of Radiology, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Sungeun Park
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea.,Department of Radiology, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul, 03080, South Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea.,Department of Radiology, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul, 03080, South Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea.,Department of Radiology, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul, 03080, South Korea
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea.,Department of Radiology, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul, 03080, South Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea
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158
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Agnello F, Albano D, Sparacia G, Micci G, Matranga D, Toia P, La Grutta L, Grassedonio E, Lo Re G, Salvaggio G, Midiri M, Galia M. Outcome of LR-3 and LR-4 observations without arterial phase hyperenhancement at Gd-EOB-DTPA-enhanced MRI follow-up. Clin Imaging 2020; 68:169-174. [PMID: 32836213 DOI: 10.1016/j.clinimag.2020.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/08/2020] [Accepted: 08/11/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVE The aim of this study was to retrospectively analyze the outcome of LR-3 and LR-4 without arterial phase hyperenhancement (APHE), and identify which features could predict LR-5 progression on serial Gd-EOB-DTPA-enhanced MRI follow-up. METHODS Forty-nine cirrhotic patients with 55 LR-3 and 19 LR-4 without APHE were evaluated. Observations were classified as decreased, stable or increased in category at follow-up. Observation size and LI-RADS major and ancillary features were evaluated. RESULTS Seventeen/fifty-five (31%) LR-3 and 8/19 (42%) LR-4 progressed to LR-5 at follow-up. Baseline LI-RADS major and ancillary features were not significantly different among LR-3 and LR-4. A diameter ≥ 10 mm significantly increased LR-5 progression risk of LR-3 (OR = 6.07; 95% CI: 0.12; 60.28]; P < .001). LR-4 with a diameter ≥ 10 mm more likely become LR-5 at follow-up (OR = 8.95; 95% CI: 0.73; 111.8; P = .083]). CONCLUSION LR-3 and LR-4 without APHE were often downgraded or remained stable in category on Gd-EOB-DTPA-enhanced MRI follow-up.
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Affiliation(s)
- Francesco Agnello
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Domenico Albano
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy; Department of Radiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Gianvincenzo Sparacia
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Giuseppe Micci
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Domenica Matranga
- Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro", University of Palermo, Via del Vespro, 129, 90127 Palermo, Italy
| | - Patrizia Toia
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Ludovico La Grutta
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Emanuele Grassedonio
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Giuseppe Lo Re
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Giuseppe Salvaggio
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Massimo Midiri
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Massimo Galia
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy.
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159
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Soloff EV, Desai N, Busey JM, Koprowicz KM, Shuman WP. Feasibility of wide detector three-pass arterial phase liver CT in patients with cirrhosis: timing of hyperenhancing lesion peak conspicuity. Abdom Radiol (NY) 2020; 45:2370-2377. [PMID: 32333072 DOI: 10.1007/s00261-020-02539-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE To evaluate feasibility of a wide detector liver CT protocol with three acquisitions in the hepatic arterial phase. METHODS Forty-one patients with cirrhosis prospectively underwent a wide detector axial liver CT protocol. Three 16 cm axial liver acquisitions were obtained during a single breath hold at peak aortic enhancement plus 10, 20, and 25 s. Two readers working separately scored overall exam quality, identified hyperenhancing lesions, and subjectively scored and ranked relative lesion conspicuity. Objective lesion enhancement was measured and CNR calculated. Data were analyzed using a generalized linear models and Tukey's post hoc testing. RESULTS Seventy-one hyperenhancing lesions were identified with average size of 1.8 cm (range 0.4-9.6 cm). The two readers separately identified 60 and 54 lesions on the 10 s arterial acquisition, 70 and 67 on the 20 s, and 52 and 51 on the 25 s. The readers determined all exams had diagnostic image quality. Subjective ranking of lesion conspicuity was greatest at 20 s in 62% of lesions but was greatest at 10 or 25 s in 38%. CNR was highest at 20 s in 58% of lesions but was highest at 10 or 25 s in 42%. Overall, there was no significant difference in mean CNR between the three arterial acquisitions. CONCLUSION A wide detector axial liver CT protocol with three acquisitions in the hepatic arterial phase is technologically feasible and results in diagnostic image quality. With this protocol, peak subjective and objective hyperenhancing lesion conspicuity may be earlier or later than 20 s in up to 40% of lesions.
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Affiliation(s)
- Erik V Soloff
- Department of Radiology, University of Washington School of Medicine, 1959 NE Pacific Street, Box 357115, Seattle, WA, 98195, USA.
| | - Nitin Desai
- Department of Radiology, University of Washington School of Medicine, 1959 NE Pacific Street, Box 357115, Seattle, WA, 98195, USA
| | - Janet M Busey
- Department of Radiology, University of Washington School of Medicine, 1959 NE Pacific Street, Box 357115, Seattle, WA, 98195, USA
| | - Kent M Koprowicz
- Department of Radiology, University of Washington School of Medicine, 1959 NE Pacific Street, Box 357115, Seattle, WA, 98195, USA
| | - William P Shuman
- Department of Radiology, University of Washington School of Medicine, 1959 NE Pacific Street, Box 357115, Seattle, WA, 98195, USA
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160
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Kim JH, Yoon JH, Joo I, Lee JM. Evaluation of Primary Liver Cancers Using Hepatocyte-Specific Contrast-Enhanced MRI: Pitfalls and Potential Tips. J Magn Reson Imaging 2020; 53:655-675. [PMID: 32700807 DOI: 10.1002/jmri.27213] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 04/24/2020] [Accepted: 04/24/2020] [Indexed: 12/11/2022] Open
Abstract
When radiologists interpret hepatic focal lesions seen on dynamic magnetic resonance imaging (MRI) scans, it is important not only to distinguish malignant lesions from benign ones but also to distinguish nonhepatocellular carcinoma (HCC) malignancies from HCCs. In addition, most major guidelines, including those of the American Association for the Study of Liver Disease, European Association for the Study of the Liver, and Korean Liver Cancer Association and National Cancer Center, allow for the noninvasive imaging diagnosis of HCC in at-risk patients. However, ~40% of HCC cases show atypical imaging features mimicking non-HCC malignancies. Furthermore, several benign and malignant lesions, such as flash-filling hemangioma and intrahepatic mass-forming cholangiocarcinoma, frequently look like HCC. In contrast, although multiparametric MRI options, including hepatobiliary phase and diffusion-weighted imaging, provide useful information that could help address these challenges, there remain several unresolved issues with regard to the noninvasive diagnostic criteria characterizing HCC. In this article, we discuss the typical imaging features and challenging situations related to primary liver cancers in MRI, while considering how to make a correct diagnosis. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Jae Hyun Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
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161
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Lu D, Bai X, Zou Q, Gan Z, Lv Y. Identification of the association between HMMR expression and progression of hepatocellular carcinoma via construction of a co-expression network. Oncol Lett 2020; 20:2645-2654. [PMID: 32765791 PMCID: PMC7403633 DOI: 10.3892/ol.2020.11844] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 01/04/2020] [Indexed: 02/06/2023] Open
Abstract
The aim of the present study was to identify key genes involved in the progression of hepatocellular carcinoma (HCC). According to the theory of the multistep process of hepatocarcinogenesis and weighted gene co-expression network analysis, hub genes associated with the progression of HCC were identified using the gene expression profiles of patients with normal to chronic hepatitis/cirrhosis and dysplastic nodules to HCC. An independent dataset was used to verify the association between hub gene and clinical phenotype. The diagnostic and prognostic value of hub genes regarding HCC were evaluated. Gene set enrichment analysis (GSEA) was performed to explore the function of hub genes. A co-expression gene module positively associated with HCC progression was identified. Combined with a protein-protein interaction (PPI) network, a total of 10 common hub genes common to both the module of interest and the PPI network were selected as hub genes. Hyaluronan mediated motility receptor (HMMR) was selected as the candidate gene and was significantly upregulated in HCC at the mRNA and protein expression levels. HMMR is a promising diagnostic biomarker for HCC, and is also associated with its progression. The expression of HMMR was positively correlated with HCC tumor grade, pathological stage, tumor stage and Ishak score. The expression of HMMR was an independent prognostic factor compared with clinicopathological features. Patients with high expression levels of HMMR exhibited a less favorable prognosis. GSEA identified 6 representative gene sets that were associated with cancer. Overall, HMMR may serve an important role in HCC and may have potential as a biomarker of HCC diagnosis and progression.
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Affiliation(s)
- Donglan Lu
- Department of Medical Oncology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region 541199, P.R. China
| | - Xue Bai
- Department of Medical Oncology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region 541199, P.R. China
| | - Qiyuan Zou
- Department of Medicine 1, Affiliated Langdong Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Zuhuan Gan
- Department of Oncology, Affiliated Langdong Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Yufeng Lv
- Department of Oncology, Affiliated Langdong Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
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162
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Costa AF, Clarke SE, Stueck AE, McInnes MDF, Thipphavong S. Benign Neoplasms, Mass-Like Infections, and Pseudotumors That Mimic Hepatic Malignancy at MRI. J Magn Reson Imaging 2020; 53:979-994. [PMID: 32621572 DOI: 10.1002/jmri.27251] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 05/20/2020] [Accepted: 05/20/2020] [Indexed: 12/14/2022] Open
Abstract
A variety of conditions may mimic hepatic malignancy at MRI. These include benign hepatic tumors and tumor-like entities such as focal nodular hyperplasia-like lesions, hepatocellular adenoma, hepatic infections, inflammatory pseudotumor, vascular entities, and in the cirrhotic liver, confluent fibrosis, and hypertrophic pseudomass. These conditions demonstrate MRI features that overlap with hepatic malignancy, and can be challenging for radiologists to diagnose accurately. In this review we discuss the MRI manifestations of various conditions that mimic hepatic malignancy, and highlight features that may allow distinction from malignancy. Level of Evidence 5 Technical Efficacy Stage 3.
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Affiliation(s)
- Andreu F Costa
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada
| | - Sharon E Clarke
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada
| | - Ashley E Stueck
- Department of Anatomical Pathology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada
| | - Matthew D F McInnes
- Department of Radiology, The Ottawa Hospital and University of Ottawa, Ottawa, Ontario, Canada
| | - Seng Thipphavong
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, Women's College Hospital, and University of Toronto, Toronto, Ontario, Canada
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163
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Kumada T, Toyoda H, Yasuda S, Tada T, Ogawa S, Takeshima K, Tanaka J, Chayama K, Johnson PJ. Impact of the introduction of direct-acting anti-viral drugs on hepatocarcinogenesis: a prospective serial follow-up MRI study. Aliment Pharmacol Ther 2020; 52:359-370. [PMID: 32519782 DOI: 10.1111/apt.15825] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 04/17/2020] [Accepted: 05/10/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND We conducted a prospective study using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced magnetic resonance imaging (Gd-EOB-MRI) to determine whether sustained virological response (SVR) by direct-acting anti-viral (DAA) drugs suppresses hepatocarcinogenesis in patients with hepatitis C virus (HCV) infection. AIM To use serial Gd-EOB-MRI to assess the impact of DAAs on hepatocarcinogenesis. METHODS Between February 2008 and December 2018, 1083 consecutive patients with HCV infection underwent Gd-EOB-MRI. Of these, 719 patients were enrolled, including 210 patients in the 'Non-DAA group', who did not receive DAAs before the introduction of DAAs, and 509 patients in the 'DAA group', who achieved SVR after the introduction of DDAs. Factors associated with hepatocarcinogenesis were analysed by a Cox proportional hazard model. In addition, hepatocarcinogenesis was classified into two types, 'multistep' and 'de novo', on the basis of Gd-EOB-MRI findings. Factors associated with each type were analysed by Fine and Gray proportional hazards models. RESULTS Hepatocarcinogenesis was observed in 67 of 719 (9.3%) patients. Factors associated with hepatocarcinogenesis were male gender, albumin-bilirubin (ALBI) grade 2 or 3, Lens culinaris agglutinin-reactive fraction of alpha-fetoprotein (AFP-L3) ≥5%, the presence of nonhypervascular hypointense nodules (NHHNs) and Non-DAA group. Of 67 patients, multistep hepatocarcinogenesis occurred in 58 patients (86.6%) and de novo hepatocarcinogenesis occurred in nine patients (13.4%). Factors associated with multistep hepatocarcinogenesis were male gender and Non-DAA group. CONCLUSION The eradication of HCV by DAA therapy reduces multistep hepatocarcinogenesis.
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Affiliation(s)
- Takashi Kumada
- Department of Nursing, Faculty of Nursing, Gifu Kyoritsu University, Ogaki, Japan
| | - Hidenori Toyoda
- Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan
| | - Satoshi Yasuda
- Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan
| | - Toshifumi Tada
- Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan
| | - Sadanobu Ogawa
- Department of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Japan
| | - Kenji Takeshima
- Department of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Japan
| | - Junko Tanaka
- Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan
| | - Kazuaki Chayama
- Department of Gastroenterology and Metabolism, Institute of Biomedical and Health Sciences, Hiroshima University Hospital, Hiroshima, Japan
| | - Philip J Johnson
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
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164
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Kim JH, Joo I, Lee JM. Atypical Appearance of Hepatocellular Carcinoma and Its Mimickers: How to Solve Challenging Cases Using Gadoxetic Acid-Enhanced Liver Magnetic Resonance Imaging. Korean J Radiol 2020; 20:1019-1041. [PMID: 31270973 PMCID: PMC6609440 DOI: 10.3348/kjr.2018.0636] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 03/17/2019] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) can be diagnosed noninvasively with contrast-enhanced dynamic computed tomography, magnetic resonance imaging, or ultrasonography on the basis of its hallmark imaging features of arterial phase hyperenhancement and washout on portal or delayed phase images. However, approximately 40% of HCCs show atypical imaging features, posing a significant diagnostic challenge for radiologists. Another challenge for radiologists in clinical practice is the presentation of many HCC mimickers such as intrahepatic cholangiocarcinoma, combined HCC-cholangiocarcinoma, arterioportal shunt, and hemangioma in the cirrhotic liver. The differentiation of HCCs from these mimickers on preoperative imaging studies is of critical importance. Hence, we will review the typical and atypical imaging features of HCCs and the imaging features of its common mimickers. In addition, we will discuss how to solve these challenges in practice.
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Affiliation(s)
- Jae Hyun Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea.
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165
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Kim TH, Yoon JH, Lee JM. Emerging Role of Hepatobiliary Magnetic Resonance Contrast Media and Contrast-Enhanced Ultrasound for Noninvasive Diagnosis of Hepatocellular Carcinoma: Emphasis on Recent Updates in Major Guidelines. Korean J Radiol 2020; 20:863-879. [PMID: 31132813 PMCID: PMC6536788 DOI: 10.3348/kjr.2018.0450] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Accepted: 02/03/2019] [Indexed: 12/11/2022] Open
Abstract
Hepatocellular carcinoma (HCC) can be noninvasively diagnosed on the basis of its characteristic imaging findings of arterial phase enhancement and portal/delayed “washout” on computed tomography (CT) and magnetic resonance imaging (MRI) in cirrhotic patients. However, different specific diagnostic criteria have been proposed by several countries and major academic societies. In 2018, major guideline updates were proposed by the Association for the Study of Liver Diseases, European Association for the Study of the Liver (EASL), Korean Liver Cancer Association and National Cancer Center (KLCA-NCC) of Korea. In addition to dynamic CT and MRI using extracellular contrast media, these new guidelines now include magnetic resonance imaging (MRI) using hepatobiliary contrast media as the first-line diagnostic test, while the KLCA-NCC and EASL guidelines also include contrast-enhanced ultrasound (CEUS) as the second-line diagnostic test. Therefore, hepatobiliary MR contrast media and CEUS will be increasingly used for the noninvasive diagnosis and staging of HCC. In this review, we discuss the emerging role of hepatobiliary phase MRI and CEUS for the diagnosis of HCC and also review the changes in the HCC diagnostic criteria in major guidelines, including the KLCA-NCC practice guidelines version 2018. In addition, we aimed to pay particular attention to some remaining issues in the noninvasive diagnosis of HCC.
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Affiliation(s)
- Tae Hyung Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea.
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166
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Joo I, Kim SY, Kang TW, Kim YK, Park BJ, Lee YJ, Choi JI, Lee CH, Park HS, Lee K, Kim H, Yu E, Kang HJ, Ha SY, Kim JY, Ahn S, Jung ES, Kim BH, Han HS, Lee JM. Radiologic-Pathologic Correlation of Hepatobiliary Phase Hypointense Nodules without Arterial Phase Hyperenhancement at Gadoxetic Acid-enhanced MRI: A Multicenter Study. Radiology 2020; 296:335-345. [PMID: 32484414 DOI: 10.1148/radiol.2020192275] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Hepatobiliary phase (HBP) hypointense nodules without arterial phase hyperenhancement (APHE) at gadoxetic acid-enhanced MRI may indicate hepatocellular carcinoma (HCC) or nonmalignant cirrhosis-associated nodules. Purpose To assess the distribution of pathologic diagnoses of HBP hypointense nodules without APHE at gadoxetic acid-enhanced MRI and to evaluate clinical and imaging features in differentiating their histologic grades. Materials and Methods This retrospective multicenter study included pathologic analysis-confirmed HBP hypointense nodules without APHE (≤30 mm) in patients with chronic liver disease or cirrhosis screened between January 2008 and June 2016. Central pathologic review by 10 pathologists determined final histologic grades as progressed HCC, early HCC, high-grade dysplastic nodule (DN), and low-grade DN or regenerative nodule. Gadoxetic acid-enhanced MRI features were analyzed by three radiologists. Multivariable logistic regression analyses with elastic net regularization were performed to identify clinical and imaging features for differentiating histologic grades. Results There were 298 patients (mean age, 59 years ± 10; 226 men) with 334 nodules evaluated, and progressed HCCs were diagnosed in 44.0% (147 of 334), early HCCs in 20.4% (68 of 334), high-grade DNs in 27.5% (92 of 334), and low-grade DNs or regenerative nodules in 8.1% (27 of 334). Serum α-fetoprotein level 100 ng/mL or greater (odds ratio, 2.7; P = .01) and MRI features including well-defined margin (odds ratio, 5.5; P = .003), hypointensity at precontrast T1-weighted imaging (odds ratio, 3.2; P < .001), intermediate hyperintensity at T2-weighted imaging (odds ratio, 3.4; P < .001), and restricted diffusion (odds ratio, 1.9; P = .04) were independent predictors for progressed HCC at multivariable analysis. Conclusion In patients at high risk for hepatocellular carcinoma (HCC), hepatobiliary phase hypointense nodules without arterial phase hyperenhancement at gadoxetic acid-enhanced MRI corresponded mainly to progressed HCCs, early HCCs, and high-grade dysplastic nodules. High α-fetoprotein level and some imaging features at MRI helped to differentiate progressed HCC from lower grade nodules. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Motosugi in this issue.
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Affiliation(s)
- Ijin Joo
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - So Yeon Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Tae Wook Kang
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Young Kon Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Beom Jin Park
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Yoon Jin Lee
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Joon-Il Choi
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Chang-Hee Lee
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Hee Sun Park
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Kyoungbun Lee
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Haeryoung Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Eunsil Yu
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Hyo Jeong Kang
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Sang Yun Ha
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Joo Young Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Soomin Ahn
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Eun Sun Jung
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Baek-Hui Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Hye Seung Han
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Jeong Min Lee
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
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167
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Wang W, Yang C, Zhu K, Yang L, Ding Y, Luo R, Zhu S, Chen C, Sun W, Zeng M, Rao SX. Recurrence After Curative Resection of Hepatitis B Virus-Related Hepatocellular Carcinoma: Diagnostic Algorithms on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging. Liver Transpl 2020; 26:751-763. [PMID: 31901208 DOI: 10.1002/lt.25713] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Accepted: 12/23/2019] [Indexed: 12/12/2022]
Abstract
Small recurrent hepatocellular carcinoma (HCC) can show atypical imaging patterns, and a specific diagnostic algorithm for HCC is lacking. This study aimed to better characterize postoperative recurrent HCCs <20 mm in size with gadoxetic acid-enhanced magnetic resonance imaging (MRI). We evaluated 373 newly developed nodules after hepatectomy in 204 HCC patients with chronic hepatitis B virus infection. The diagnostic performance of Liver Imaging Reporting and Data System (LI-RADS) version 2018 was calculated with gadoxetic acid-enhanced MRI to characterize recurrent HCC. Modified diagnostic algorithms were proposed by combining significant imaging biomarkers related to subcentimeter and 10-19 mm recurrence, and the algorithms were then compared with the LI-RADS system. A total of 256 recurrent HCCs (108 recurrent HCCs <10 mm in size; 148 recurrent HCCs 10-19 mm in size) were confirmed via histology or follow-up imaging. Nonrim arterial phase hyperenhancement (APHE) and 3 LI-RADS ancillary features (AFs; hepatobiliary phase hypointensity, mild-moderate T2 hyperintensity, and restricted diffusion) were significantly related to recurrent HCCs <20 mm in size according to a multivariate analysis. For subcentimeter recurrence, combining at least 2 of the 3 AFs only achieved better specificity (sensitivity, 83.3%; specificity, 87.7%) than the LR-4 category (sensitivity, 88.9%, P = 0.21; specificity, 70.8%, P = 0.006). For 10-19 mm recurrences, combining nonrim APHE and at least 1 of the 3 AFs achieved only a significantly enhanced sensitivity of 85.1% but a lower specificity of 86.5% compared with the LR-5 category (sensitivity: 63.5%, P < 0.001; specificity: 94.2%, P = 0.13). In conclusion, the diagnostic algorithms for subcentimeter and 10-19 mm recurrent HCCs should be stratified. Combining at least 2 AFs demonstrated comparable sensitivity with significantly enhanced specificity compared with the LR-4 category for characterizing subcentimeter recurrence.
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Affiliation(s)
- Wentao Wang
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Imaging Institute, Shanghai, China
| | - Chun Yang
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Imaging Institute, Shanghai, China
| | - Kai Zhu
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Li Yang
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Imaging Institute, Shanghai, China
| | - Ying Ding
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Imaging Institute, Shanghai, China
| | - Rongkui Luo
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shuo Zhu
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Caizhong Chen
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Sun
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Imaging Institute, Shanghai, China
| | - Sheng-Xiang Rao
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Medical Imaging Institute, Shanghai, China
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168
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Targetoid hepatic observations on gadoxetic acid-enhanced MRI using LI-RADS version 2018: emphasis on hepatocellular carcinomas assigned to the LR-M category. Clin Radiol 2020; 75:478.e13-478.e23. [DOI: 10.1016/j.crad.2020.01.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 01/03/2020] [Indexed: 02/07/2023]
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169
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Gupta A, Caravan P, Price WS, Platas-Iglesias C, Gale EM. Applications for Transition-Metal Chemistry in Contrast-Enhanced Magnetic Resonance Imaging. Inorg Chem 2020; 59:6648-6678. [PMID: 32367714 DOI: 10.1021/acs.inorgchem.0c00510] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Contrast-enhanced magnetic resonance imaging (MRI) is an indispensable tool for diagnostic medicine. However, safety concerns related to gadolinium in commercial MRI contrast agents have emerged in recent years. For patients suffering from severe renal impairment, there is an important unmet medical need to perform contrast-enhanced MRI without gadolinium. There are also concerns over the long-term effects of retained gadolinium within the general patient population. Demand for gadolinium-free MRI contrast agents is driving a new wave of inorganic chemistry innovation as researchers explore paramagnetic transition-metal complexes as potential alternatives. Furthermore, advances in personalized care making use of molecular-level information have motivated inorganic chemists to develop MRI contrast agents that can detect pathologic changes at the molecular level. Recent studies have highlighted how reaction-based modulation of transition-metal paramagnetism offers a highly effective mechanism to achieve MRI contrast enhancement that is specific to biochemical processes. This Viewpoint highlights how recent advances in transition-metal chemistry are leading the way for a new generation of MRI contrast agents.
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Affiliation(s)
- Abhishek Gupta
- Nanoscale Organisation and Dynamics Group, School of Science and Health, Western Sydney University, Penrith, New South Wales 2751, Australia.,Ingham Institute of Applied Medical Research, Liverpool, New South Wales 2170, Australia
| | | | - William S Price
- Nanoscale Organisation and Dynamics Group, School of Science and Health, Western Sydney University, Penrith, New South Wales 2751, Australia.,Ingham Institute of Applied Medical Research, Liverpool, New South Wales 2170, Australia
| | - Carlos Platas-Iglesias
- Centro de Investigacións Científicas Avanzadas and Departamento de Química, Facultade de Ciencias, Universidade da Coruña, A Coruña, Galicia 15071, Spain
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170
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Mei J, Li SH, Wang QX, Lu LH, Ling YH, Zou JW, Lin WP, Wen YH, Wei W, Guo RP. Resection vs. Sorafenib for Hepatocellular Carcinoma With Macroscopic Vascular Invasion: A Real World, Propensity Score Matched Analytic Study. Front Oncol 2020; 10:573. [PMID: 32432036 PMCID: PMC7214621 DOI: 10.3389/fonc.2020.00573] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 03/30/2020] [Indexed: 12/12/2022] Open
Abstract
Background: Macroscopic vascular invasion (MVI) commonly occurs in patients with advanced hepatocellular carcinoma (HCC) for which resection and sorafenib are the common therapies prescribed. Here, we aimed to compare the survival outcomes of these two therapies in HCC patients with MVI. Methods: In total, 496 patients diagnosed with HCC and MVI without extrahepatic metastasis, treated with resection (resection-based group, n = 388) and sorafenib (sorafenib-based group, n = 108) were included in this study. A one-to-one propensity score-matching analysis (PSM) was performed to minimize the effect of potential confounders. Results: The median OS in the resection- and sorafenib-based group was 20.7 months (95% CI: 16.9-24.5) and 11.6 months (95% CI: 8.4-14.9) (p < 0.001), respectively. The median PFS was 4.7 months (95% CI: 3.8-5.5) in the resection-based group and 4.4 months (95% CI: 3.6-5.2) in the sorafenib-based group (p < 0.001). After PSM, 72 patients from each group were matched. The median OS was 27.2 months (95% CI: 16.4-38.0) in the resection-based group and 13.0 months (95% CI: 9.6-16.3) in the sorafenib-based group (p < 0.001). The median PFS was 5.3 months (95% CI: 3.2-7.4) in the resection-based group and 4.8 months (95% CI: 3.6-6.0) in the sorafenib-based group (p = 0.061). Conclusion: Findings from this study showed that, compared with sorafenib-based treatment, surgical resection might be associated with better survival benefits to HCC patients with MVI.
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Affiliation(s)
- Jie Mei
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Shao-Hua Li
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Qiao-Xuan Wang
- State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Liang-He Lu
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yi-Hong Ling
- State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jing-Wen Zou
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wen-Ping Lin
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yu-Hua Wen
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wei Wei
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Rong-Ping Guo
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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171
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Bashir MR, Horowitz JM, Kamel IR, Arif-Tiwari H, Asrani SK, Chernyak V, Goldstein A, Grajo JR, Hindman NM, Kamaya A, McNamara MM, Porter KK, Solnes LB, Srivastava PK, Zaheer A, Carucci LR. ACR Appropriateness Criteria® Chronic Liver Disease. J Am Coll Radiol 2020; 17:S70-S80. [PMID: 32370979 DOI: 10.1016/j.jacr.2020.01.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 01/25/2020] [Indexed: 12/12/2022]
Abstract
The liver fibrosis stage is the most important clinical determinate of morbidity and mortality in patients with chronic liver diseases. With newer therapies, liver fibrosis can be stabilized and possibly reversed, thus accurate diagnosis and staging of liver fibrosis are clinically important. Ultrasound, CT, and conventional MRI can be used to establish the diagnosis of advanced fibrosis/cirrhosis but have limited utility for assessing earlier stages of fibrosis. Elastography-based ultrasound and MRI techniques are more useful for assessment of precirrhotic hepatic fibrosis. In patients with advanced fibrosis at risk for hepatocellular carcinoma (HCC), ultrasound is the surveillance modality recommended by international guidelines in nearly all circumstances. However, in patients in whom ultrasound does not assess the liver well, including those with severe steatosis or obesity, multiphase CT or MRI may have a role in surveillance for HCC. Both multiphase CT and MRI can be used for continued surveillance in patients with a history of HCC, and contrast-enhanced ultrasound may have an emerging role in this setting. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | | | - Ihab R Kamel
- Panel Chair, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Hina Arif-Tiwari
- University of Arizona, Banner University Medical Center, Tucson, Arizona
| | - Sumeet K Asrani
- Baylor University Medical Center, Dallas, Texas; American Association for the Study of Liver Diseases
| | | | | | - Joseph R Grajo
- University of Florida College of Medicine, Gainesville, Florida
| | | | - Aya Kamaya
- Stanford University Medical Center, Stanford, California
| | | | | | | | - Pavan K Srivastava
- University of Illinois College of Medicine, Chicago, Illinois; American College of Physicians
| | | | - Laura R Carucci
- Specialty Chair, Virginia Commonwealth University Medical Center, Richmond, Virginia
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172
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Duan Y, Xie X, Li Q, Mercaldo N, Samir AE, Kuang M, Lin M. Differentiation of regenerative nodule, dysplastic nodule, and small hepatocellular carcinoma in cirrhotic patients: a contrast-enhanced ultrasound-based multivariable model analysis. Eur Radiol 2020; 30:4741-4751. [PMID: 32307563 DOI: 10.1007/s00330-020-06834-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 03/03/2020] [Accepted: 03/25/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To develop a contrast-enhanced ultrasound (CEUS)-based model for differentiating cirrhotic liver lesions and for active surveillance of hepatocellular carcinoma (HCC). METHODS Patients with focal liver lesions (FLLs) with biopsy/resection-proven pathology and pre-procedure CEUS were enrolled from our institution between January 2011 and November 2014. Univariable and multivariable regression models were constructed using qualitative CEUS features and/or contrast arrival time ratio (CATR). The optimism-adjusted Harrell's generalized concordance index (CH) was used to quantify the discriminatory ability of each CEUS feature and model. RESULTS A total of 149 patients (113 men and 36 women) with 162 FLLs were enrolled with mean age 53.4 ± 12.7 years. A 0.1-unit reduction in CATR was associated with a 68% increase in the odds of having a higher nodule ranking (RN < DN < small HCC) (OR, 0.32; 95% CI, 0.20-0.50, p < .001). Arterial phase hypoenhancement and isoenhancement were inversely associated with a higher nodule ranking compared to hyperenhancement. Late-phase isoenhancement was associated with lower odds of a higher nodule ranking. The CEUS + CATR model (CH 0.92, 0.89-0.95) provided greater discriminatory ability when compared to the CATR model (ΔCH 0.09, 0.04-0.13, p < .001) and the CEUS model (ΔCH 0.03, 0.01-0.05, p = .02). CONCLUSIONS Our results provide preliminary evidence that multivariable regression model constructed using both qualitative CEUS features and CATR provides the greatest discriminatory ability to differentiate RN, DN, and small HCC in patients with cirrhosis, and might allow for active surveillance of the progression of cirrhotic liver lesions. KEY POINTS • Proportional odds logistic regression models based on qualitative CEUS features and/or CATR can be used for differentiating cirrhotic liver lesions and for active surveillance of HCC. • The reduction of CATR (RN < DN < small HCC) was strongly associated with high-risk cirrhotic liver nodules. • Inclusion of CATR in the CEUS prediction model significantly improved its performance for cirrhotic liver lesions risk-stratification.
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Affiliation(s)
- Yu Duan
- Department of Medical Ultrasonics, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, China
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Xiaoyan Xie
- Department of Medical Ultrasonics, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, China
| | - Qian Li
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Nathaniel Mercaldo
- Institute for Technology Assessment, Massachusetts General Hospital, Harvard Medical School, 101 Merrimac Street, Suite 1010, Boston, MA, 02114, USA
| | - Anthony E Samir
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Ming Kuang
- Department of Medical Ultrasonics, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, China
| | - Manxia Lin
- Department of Medical Ultrasonics, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, China.
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173
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Tumor Contrast Enhancement and Whole-Body Elimination of the Manganese-Based Magnetic Resonance Imaging Contrast Agent Mn-PyC3A. Invest Radiol 2020; 54:697-703. [PMID: 31356382 DOI: 10.1097/rli.0000000000000593] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVES The goals of this study were to compare the efficacy of the new manganese-based magnetic resonance imaging (MRI) contrast agent Mn-PyC3A to the commercial gadolinium-based agents Gd-DOTA and to Gd-EOB-DTPA to detect tumors in murine models of breast cancer and metastatic liver disease, respectively, and to quantify the fractional excretion and elimination of Mn-PyC3A in rats. METHODS T1-weighted contrast-enhanced MRI with 0.1 mmol/kg Mn-PyC3A was compared with 0.1 mmol/kg Gd-DOTA in a breast cancer mouse model (n = 8) and to 0.025 mmol/kg Gd-EOB-DTPA in a liver metastasis mouse model (n = 6). The fractional excretion, 1-day biodistribution, and 7-day biodistribution in rats after injection of 2.0 mmol/kg [Mn]Mn-PyC3A or Gd-DOTA were quantified by Mn gamma counting or Gd elemental analysis. Imaging data were compared with a paired t test; biodistribution data were compared with an unpaired t test. RESULTS The postinjection-preinjection increases in tumor-to-muscle contrast-to-noise ratio (ΔCNR) 3 minutes after injection of Mn-PyC3A and Gd-DOTA (mean ± standard deviation) were 17 ± 3.8 and 20 ± 4.4, respectively (P = 0.34). Liver-to-tumor ΔCNR values at 8 minutes postinjection of Mn-PyC3A and Gd-EOB-DTPA were 28 ± 9.0 and 48 ± 23, respectively (P = 0.11). Mn-PyC3A is eliminated with 85% into the urine and 15% into the feces after administration to rats. The percentage of the injected doses (%ID) of Mn and Gd recovered in tissues after 1 day were 0.32 ± 0.12 and 0.57 ± 0.12, respectively (P = 0.0030), and after 7 days were 0.058 ± 0.051 and 0.19 ± 0.052, respectively (P < 0.0001). CONCLUSIONS Mn-PyC3A provides comparable tumor contrast enhancement to Gd-DOTA in a mouse breast cancer model and is more completely eliminated than Gd-DOTA; partial hepatobiliary elimination of Mn-PyC3A enables conspicuous delayed phase visualization of liver metastases.
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174
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Sequence and Observer Variability in Gadoxectic Acid-Enhanced MRI Lesion Measurements in Hepatocellular Carcinoma. Acad Radiol 2020; 27:e64-e71. [PMID: 31326308 DOI: 10.1016/j.acra.2019.05.021] [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: 03/18/2019] [Revised: 05/09/2019] [Accepted: 05/18/2019] [Indexed: 11/23/2022]
Abstract
RATIONALE AND OBJECTIVES The purpose of the study was to investigate interobserver and intersequence variability in measuring hepatocellular carcinoma on magnetic resonance imaging (MRI). METHODS AND MATERIALS Twenty treatment-naïve lesions on Gadoxetic Acid enhanced MRI scans from 20 patients were retrospectively measured by six reviewers with different levels of experience, twice, six weeks apart, on eight different MRI sequences, in randomized order. The sequences include arterial, hepatobiliary, transitional, portal venous, T2, and diffusion weighted images. The single longest diameter (SLD) and longest diameter perpendicular to the longest overall diameter were measured on axial images and products of diameters calculated in accordance to response evaluation criteria in solid tumors v1.1 and World Health Organization response criteria respectively. Lesion-wise intraclass correlation coefficients were used to estimate measurement agreement. RESULTS All intraclass correlation coefficients were greater than 0.95. No substantive differences between SLD and products of diameters metrics. Means (∼2.8 mm, SLD) and standard deviations (∼2 mm, SLD) were similar across sequences and observers. Similarly, pairwise comparison between observers grouped by experience showed statistically significant differences, but the effect size was minor (∼2 mm). Arterial and HPB-weighted images had similar mean dimensions (2.76 cm) while the smallest mean was in the transitional phase (2.62 cm). A lesion was not measured on 140 occasions (7%), mostly in ADC. CONCLUSION There is high interobserver and intersequence reliability despite small differences between observers based on experience level. Our results suggest that accurate measurements can be made on arterial phase despite the possibility of indistinct margins. Lesions, however, are more likely to be missed on diffusion-related sequences.
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175
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Park SH, Kim B. Liver Magnetic Resonance Imaging for Hepatocellular Carcinoma Surveillance. ACTA ACUST UNITED AC 2020. [DOI: 10.17998/jlc.20.1.25] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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176
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Spectral CT Imaging-Based Quantification of Iodized Oil Retention following Chemoembolization: Phantom and Animal Studies. J Vasc Interv Radiol 2020; 31:503-509.e1. [PMID: 32007404 DOI: 10.1016/j.jvir.2019.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 08/24/2019] [Accepted: 09/12/2019] [Indexed: 12/19/2022] Open
Abstract
PURPOSE To evaluate accuracy of iodine quantification using spectral CT and the potential of quantitative iodized oil analysis as an imaging biomarker of chemoembolization. MATERIALS AND METHODS A phantom of an artificial liver with 6 artificial tumors containing different amounts of iodized oil (0-8 vol%) was scanned by spectral CT, and iodized oil density (mg/mL) and Hounsfield unit (HU) values were measured. In addition, VX2 hepatoma was induced in 23 rabbits. After chemoembolization using iodized oil chemoemulsion, the rabbits were scanned by spectral CT. The accumulation of iodized oil in the tumor was quantified in terms of iodized oil density and HUs, and the performances in predicting a pathologic complete response (CR) were evaluated by receiver operating characteristic curve analyses. RESULTS The mean difference between true iodine densities and spectral image-based measurements was 0.5 mg/mL. Mean HU values were highly correlated with mean iodine density (r2 = 1.000, P < .001). In the animal study, a pathologic CR was observed in 17 of 23 rabbits (73.9%). The range of area under the curve values of iodine and HU measurements was 0.863-0.882. A tumoral iodine density of 3.57 mg/mL, which corresponds to 0.7 vol% iodized oil in the tumor, predicted a pathologic CR with a sensitivity of 70.6% and a specificity of 100.0%. CONCLUSIONS Spectral CT imaging has a potential to predict tumor responses after chemoembolization by quantitatively assessing iodized oil in targets.
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177
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Zhou X, Wang J, Tang M, Huang M, Xu L, Peng Z, Li ZP, Feng ST. Hepatocellular carcinoma with hilar bile duct tumor thrombus versus hilar Cholangiocarcinoma on enhanced computed tomography: a diagnostic challenge. BMC Cancer 2020; 20:54. [PMID: 31969123 PMCID: PMC6977349 DOI: 10.1186/s12885-020-6539-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 01/13/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) with hilar bile duct tumor thrombus (HBDTT) often mimic hilar cholangiocarcinoma (hilar CC). The purpose of this study is to analyze the Computed Tomography (CT) characteristics of HCC with HBDTT and to identify imaging features to aid its differentiation from hilar CC on enhanced CT. METHODS We retrospectively identified 58 cases with pathologically proved HCC with HBDTT between 2011 and 2018. Seventy-seven cases of pathologically proven hilar CCs were selected during the same period. The clinical features and CT findings of the two groups were reviewed and compared. RESULTS HCC with HBDTTs are more commonly found in men (87.9% vs 63.6%, p = 0.001) with lower age of onset (49.84 vs 58.61 years; p < 0.001) in comparison to hilar CCs. Positive correlation were identified between HCC with HBDTTs and chronic HBV infection (72.4% vs 11.7%; p < 0.001), increased serum AFP (67.2% vs 1.3%; p < 0.001), CA19-9 level (58.6% vs 85.7%; p < 0.001) and CEA level (3.4% vs 29.9%; p = 0.001), parenchymal lesion with intraductal lesion (100% vs 18.2%; p < 0.001), washout during the portal venous phase (84.5% vs 6.5%; p < 0.001), thickened bile duct wall (8.6% vs 93.5%; p < 0.001), intrahepatic vascular embolus (44.8% vs 7.8%; p < 0.001), splenomegaly (34.5% vs 2.6%, p < 0.001). A scoring system consisting of the five parameters obtained from characteristics mentioned above was trialed. The sensitivity and specificity for diagnosing HCC with HBDTT were 96.39, 100 and 92.5% respectively when the total score was 2 or more. CONCLUSIONS HCC with HBDTTs are often distinguishable from hilar CCs based on washout during portal venous phase without thickened bile duct wall. HBV infection and serum AFP level facilitate the differentiation.
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Affiliation(s)
- Xiaoqi Zhou
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Jifei Wang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Mimi Tang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Mengqi Huang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Ling Xu
- Faculty of Medicine and Dentistry, University of Western Australia, Perth, Australia
| | - Zhenpeng Peng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Zi-Ping Li
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China.
| | - Shi-Ting Feng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China.
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178
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Lukovic J, Henke L, Gani C, Kim TK, Stanescu T, Hosni A, Lindsay P, Erickson B, Khor R, Eccles C, Boon C, Donker M, Jagavkar R, Nowee ME, Hall WA, Parikh P, Dawson LA. MRI-Based Upper Abdominal Organs-at-Risk Atlas for Radiation Oncology. Int J Radiat Oncol Biol Phys 2020; 106:743-753. [PMID: 31953061 DOI: 10.1016/j.ijrobp.2019.12.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 12/02/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE The purpose of our study was to provide a guide for identification and contouring of upper abdominal organs-at-risk (OARs) in the setting of online magnetic resonance imaging (MRI)-guided radiation treatment planning and delivery. METHODS AND MATERIALS After a needs assessment survey, it was determined that an upper abdominal MRI-based atlas of normal OARs would be of benefit to radiation oncologists and radiation therapists. An anonymized diagnostic 1.5T MRI from a patient with typical upper abdominal anatomy was used for atlas development. Two MRI sequences were selected for contouring, a T1-weighted gadoxetic acid contrast-enhanced MRI acquired in the hepatobiliary phase and axial fast imaging with balanced steady-state precession. Two additional clinical MRI sequences from commercial online MRI-guided radiation therapy systems were selected for contouring and were included in the final atlas. Contours from each data set were completed and reviewed by radiation oncologists, along with a radiologist who specializes in upper abdominal imaging, to generate a consensus upper abdominal MRI-based OAR atlas. RESULTS A normal OAR atlas was developed, including recommendations for contouring. The atlas and contouring guidance are described, and high-resolution MRI images and contours are displayed. OARs, such as the bile duct and biliary tree, which may be better seen on MRI than on computed tomography, are highlighted. The full DICOM/DICOM-RT MRI images from both the diagnostic and clinical online MRI-guided radiation therapy systems data sets have been made freely available, for educational purposes, at econtour.org. CONCLUSIONS This MRI contouring atlas for upper abdominal OARs should provide a useful reference for contouring and education. Its routine use may help to improve uniformity in contouring in radiation oncology planning and OAR dose calculation. Full DICOM/DICOM-RT images are available online and provide a valuable educational resource for upper abdominal MRI-based radiation therapy planning and delivery.
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Affiliation(s)
- Jelena Lukovic
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Lauren Henke
- Department of Radiation Oncology, Washington University School of Medicine in St. Louis, St Louis, Missouri
| | - Cihan Gani
- Department of Radiation Oncology, University Hospital and Medical Faculty Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Tae K Kim
- Joint Department of Medical Imaging, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Teodor Stanescu
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Medical Physics, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Ali Hosni
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Patricia Lindsay
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Medical Physics, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Beth Erickson
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Richard Khor
- Department of Radiation Oncology, Austin Health, Melbourne, Australia
| | - Cynthia Eccles
- Department of Radiotherapy, The Christie NHS Foundation Trust, Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Cheng Boon
- Department of Clinical Oncology, Rutherford Cancer Centre North West, Liverpool, United Kingdom
| | - Mila Donker
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Raj Jagavkar
- Department of Radiation Oncology, St. Vincent's Hospital Sydney, Sydney, Australia
| | - Marlies E Nowee
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - William A Hall
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Parag Parikh
- Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan
| | - Laura A Dawson
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
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Oh J, Lee JM, Park J, Joo I, Yoon JH, Lee DH, Ganeshan B, Han JK. Hepatocellular Carcinoma: Texture Analysis of Preoperative Computed Tomography Images Can Provide Markers of Tumor Grade and Disease-Free Survival. Korean J Radiol 2020; 20:569-579. [PMID: 30887739 PMCID: PMC6424831 DOI: 10.3348/kjr.2018.0501] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2018] [Accepted: 09/29/2018] [Indexed: 11/25/2022] Open
Affiliation(s)
- Jiseon Oh
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea.
| | - Junghoan Park
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Balaji Ganeshan
- Institute of Nuclear Medicine, University College London, London, UK
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
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180
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Ananthan K, Yusuf GT, Kumar M. Intrahepatic and intra-abdominal splenosis: A case report and review of literature. World J Hepatol 2019; 11:773-779. [PMID: 31966909 PMCID: PMC6960294 DOI: 10.4254/wjh.v11.i12.773] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 11/11/2019] [Accepted: 11/26/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Splenosis is defined as the process by which tissue from the spleen disseminates through the body and grows in an ectopic location following trauma or a splenectomy. Visceral sites of splenosis are rare.
CASE SUMMARY We report a case of intrahepatic splenosis in a 57-year-old man with a history of trauma over 40 years ago who initially presented with chest pain. Findings initially mimicked malignancy but a diagnosis of intrahepatic splenosis was confirmed using computed tomography and scintigraphy with technetium-99m heat-denatured red blood cells (Tc-99 DRBC).
CONCLUSION Scintigraphy with Tc-99 DRBC is a reliable technique to diagnose splenosis and should be performed before using more invasive procedures are carried out. Splenosis should be considered as a possible differential diagnosis for a hepatic nodule in any patient with a history of abdominal trauma, previous splenectomy or atypical radiological features on imaging.
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Affiliation(s)
- Kiruthika Ananthan
- GKT School of Medical Education, King’s College London, London WC2R 2LS, United Kingdom
| | - Gibran Timothy Yusuf
- Department of Radiology, Princess Royal University Hospital, King’s College Hospital NHS Foundation Trust, Kent BR6 8ND, United Kingdom
| | - Mayur Kumar
- Department of Gastroenterology, Princess Royal University Hospital, King’s College Hospital NHS Foundation Trust, Kent BR6 8ND, United Kingdom
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181
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Lucatelli P, De Rubeis G, Ginnani Corradini L, Basilico F, Di Martino M, Lai Q, Ginanni Corradini S, Cannavale A, Nardis PG, Corona M, Saba L, Catalano C, Bezzi M. Intra-procedural dual phase cone beam computed tomography has a better diagnostic accuracy over pre-procedural MRI and MDCT in detection and characterization of HCC in cirrhotic patients undergoing TACE procedure. Eur J Radiol 2019; 124:108806. [PMID: 31945673 DOI: 10.1016/j.ejrad.2019.108806] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 11/28/2019] [Accepted: 12/19/2019] [Indexed: 02/08/2023]
Abstract
PURPOSE This study was directed to compare diagnostic accuracy of dual-phase cone beam computed tomography (DP-CBCT) vs pre-procedural second line imaging modality (SLIM [multidetector computed tomography and magnetic resonance imaging]) to detect and characterize hepatocellular carcinoma (HCC) in cirrhotic patients with indication for trans-arterial chemoembolization (TACE). METHODS This is a single centre, retrospective, and observational study. Exclusion criteria were not-assisted DP-CBCT TACE, and unavailable follow-up SLIM. We evaluated 280 consecutive patients (January/2015-Febraury/2019). Seventy-two patients were eligible. Three radiologists in consensus reviewed: pre-procedural SLIM, DP-CBCT, and SLIM at follow-up, with 4 months of interval between each reading. Hyper-vascular foci (HVF) were detected and characterized. Diameter was recorded. Radiological behaviour, according to LI-RADS criteria, of HFV throughout follow-up time was the reference standard. Diagnostic accuracy was calculated for pre-procedural SLIM and DP-CBCT and evaluated through receiver operating characteristic curve. HVF only visible on DP-CBCT (defined as occult) were analysed. Tumour diameters were compared. RESULTS Median time between pre-procedural SLIM and DP-CBCT and between DP-CBCT and definitive radiological diagnosis of HVF were 46.0 days (95%CI 36.5-55.0) and 30.5 days (95%CI 29.0-33.0), respectively. DP-CBCT had a better diagnostic performance than pre-examination SLIM (sensitivity 99%vs78%; specificity 89%vs85%; PPV 99%vs99%; NPV 92%vs30%; and accuracy 94%vs79%). DP-CBCT diagnosed 63 occult HVF. Occult HCC were 54/243 (22.2%). Six were occult angiomas. Three were false positive. Mean diameter was significantly higher in DP-CBCT vs pre-procedural SLIM (+7.5% [95%CI 3.7-11.3], p < 0.05). CONCLUSIONS DP-CBCT has a better diagnostic accuracy and NPV than pre-procedural SLIM in cirrhotic patients with indication for TACE.
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Affiliation(s)
- Pierleone Lucatelli
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Gianluca De Rubeis
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Luca Ginnani Corradini
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Fabrizio Basilico
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Michele Di Martino
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Quirino Lai
- Department of General Surgery and Organ Transplantation, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Stefano Ginanni Corradini
- Department of Translational and Precision Medicine, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Alessandro Cannavale
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Pier Giorgio Nardis
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Mario Corona
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Luca Saba
- Department of Medical Imaging, Azienda Ospedaliero Universitaria (A.O.U.) of Cagliari-Polo Di Monserrato, Via Ospedale, 54, 09124 Cagliari CA, Italy.
| | - Carlo Catalano
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
| | - Mario Bezzi
- Vascular and Interventional Radiology Unit, Department of Diagnostic of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Viale Del Policlinico, 155, 00161 Rome RM, Italy.
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Shuai T, Zhou Y, Shao G, Yang R, Wang L, Wang J, Sun J, Ren L, Wang J, Liao Y, Wei M, Xu Q, Li Y, Zhao L. Bimodal Molecule as NIR-CT Contrast Agent for Hepatoma Specific Imaging. Anal Chem 2019; 92:1138-1146. [PMID: 31820637 DOI: 10.1021/acs.analchem.9b04212] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
With currently available molecular imaging techniques, hepatocellular carcinoma (HCC), a liver cancer with high mortality rates and poor treatment responses, is mostly diagnosed at its late stage. This is largely due to the lack of highly sensitive contrast agents with high liver specificity. Herein, we report a novel bimodal contrast agent molecule CNCI-1 for the effective detection of HCC at its early stage both in vitro and in vivo. The agent has high liver specificity with effective X-ray computed tomography (CT)/near-infrared (NIR) imaging functions. It has been successfully applied to in vivo NIR imaging with high sensitivity and high selectivity to the HCC region of the HepG2 tumor-xenografted mice model and LM3 orthotopic hepatoma mice model. Moreover, the agent was found to be noninvasive and hepatocarcinoma cells preferential. Furthermore, it also enhanced the tumor imaging by revealing the blood vessels nearby for the CT image acquisition in the VX2 orthotopic hepatoma rabbit model. Our design strategy provides a new avenue to develop the medical relevant bimodal contrast agents for diagnosis of HCC at its early stage.
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Affiliation(s)
- Tianbai Shuai
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211100 , China
| | - Yizhou Zhou
- School of Basic Medicine and Clinical Pharmacology , China Pharmaceutical University , Nanjing 211100 , China
| | - Guoqiang Shao
- Department of Nuclear Medicine , Nanjing First Hospital, Affiliated to Nanjing Medical University , Nanjing 210006 , China
| | - Rui Yang
- Department of Nuclear Medicine , Nanjing First Hospital, Affiliated to Nanjing Medical University , Nanjing 210006 , China
| | - Letian Wang
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211100 , China
| | - Jinglin Wang
- Department of Hepatobiliary Surgery , Nanjing Drum Tower Hospital, Affiliated to Medical College of Nanjing University , Nanjing 210008 , China
| | - Jie Sun
- School of Basic Medicine and Clinical Pharmacology , China Pharmaceutical University , Nanjing 211100 , China
| | - Longfei Ren
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211100 , China
| | - Jintao Wang
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211100 , China
| | - Yan Liao
- School of Basic Medicine and Clinical Pharmacology , China Pharmaceutical University , Nanjing 211100 , China
| | - Mian Wei
- School of Basic Medicine and Clinical Pharmacology , China Pharmaceutical University , Nanjing 211100 , China
| | - Qingxiang Xu
- Department of Hepatobiliary Surgery , Nanjing Drum Tower Hospital, Affiliated to Medical College of Nanjing University , Nanjing 210008 , China
| | - Yuyan Li
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211100 , China
| | - Li Zhao
- School of Basic Medicine and Clinical Pharmacology , China Pharmaceutical University , Nanjing 211100 , China
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183
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Ko A, Park HJ, Lee ES, Park SB, Kim YK, Choi SY, Ahn S. Comparison of the diagnostic performance of the 2017 and 2018 versions of LI-RADS for hepatocellular carcinoma on gadoxetic acid enhanced MRI. Clin Radiol 2019; 75:319.e1-319.e9. [PMID: 31858990 DOI: 10.1016/j.crad.2019.11.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 11/13/2019] [Indexed: 12/18/2022]
Abstract
AIM To compare the diagnostic performance of the 2017 (v2017) and 2018 versions (v2018) of the Liver Imaging-Reporting and Data System (LI-RADS) for hepatocellular carcinoma (HCC) using gadoxetic acid-enhanced magnetic resonance imaging (Gd-EOB-MRI) and to evaluate the effect in v2018. MATERIALS AND METHODS Treatment-naive patients at high-risk for HCC who underwent Gd-EOB-MRI were included. The LI-RADS categories were assigned according to v2017 and v2018. The diagnostic performances were compared between v2017 and v2018 according to the size and combination of imaging features. RESULTS A total of 117 patients with 137 observations were identified, including 89 HCCs; 76.2% (64/84) of observations with threshold growth were re-classified as subthreshold growth when using v2018 instead of v2017. The final categories changed in nine (14%) cases. For the combination of LR-5/LR-5V, there were no significant differences in sensitivity and specificity between the two versions (sensitivity, 64% versus 58.4%; specificity, 87.5% versus 85.4%; all p>0.05). For the combination of LR-4 and LR-5/5V, the diagnostic performance of v2018 was inferior to that of v2017 when considering only major features (accuracy, 86.1% versus 80.3%, respectively; p=0.013), particularly in observations measuring 10-20 mm, but was comparable after adding the ancillary features (accuracy, 86.9% versus 86.1%, respectively; p=1.00). CONCLUSION In LI-RADS v2018, although a considerable number of observations re-classified subthreshold growth, changes in the assigned categories were insignificant; overall diagnostic performance was comparable to that of v2017, but v2018 might emphasise the value of ancillary features in combination with major features for determining the probability of HCC.
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Affiliation(s)
- A Ko
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea
| | - H J Park
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea.
| | - E S Lee
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea
| | - S B Park
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea
| | - Y K Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - S-Y Choi
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea
| | - S Ahn
- Department of Mathematics, Ajou University, Suwon, Republic of Korea
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Sokmen BK, Sabet S, Oz A, Server S, Namal E, Dayangac M, Dogusoy GB, Tokat Y, Inan N. Value of Intravoxel Incoherent Motion for Hepatocellular Carcinoma Grading. Transplant Proc 2019; 51:1861-1866. [PMID: 31399170 DOI: 10.1016/j.transproceed.2019.02.027] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 02/03/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND To evaluate the diagnostic accuracy of intravoxel incoherent motion (IVIM) parameters in estimation of hepatocellular carcinoma (HCC) grading. MATERIALS AND METHODS Twenty-nine patients with histopathologically diagnosed as 42 HCC at explant were included in this retrospective study. All patients were examined by 1.5T magnetic resonance imaging with the use of 4-channel phased array body coil. In addition to routine pre- and postcontrast sequences, IVIM (16 different b factors varying from 0 to 1300 s/mm2) and conventional diffusion-weighted imaging (3 different b factors of 50, 400, 800 s/mm2) were obtained with single-shot echo planar spin echo sequence. Apparent diffusion coefficient (ADC) and IVIM parameters including mean D (true diffusion coefficient), D* (pseudo-diffusion coefficient associated with blood flow), and f (perfusion fraction) values were calculated. Histopathologically, HCC was classified as low (grade 1, 2) and high (grade 3, 4) grade in accordance with the Edmondson-Steiner score. Quantitatively, ADC, D, D*, and f values were compared between the low- and high-grade groups by Student t test. The relationship between the parameters and histologic grade was analyzed using the Spearman's correlation test. To evaluate the diagnostic performance of the parameters, receiver operating characteristic analysis was performed. RESULTS High-grade HCCs had significantly lower ADC and D values than low grade groups (P = .005 and P = .026, retrospectively); ADC and D values were inversely correlated with tumor grade (r = -0.519, P = .011, r = -0.510, P = .026, respectively). High-grade HCCs had significantly higher f values when compared with the low-grade group (P = .005). The f values were positively correlated with tumor grade (r = 0.548, P = .007). The best discriminative parameter was f value. Cut-off value of 32% of f values showed sensitivity of 75.6% and a specificity of 73.5%. CONCLUSION ADC values and IVIM parameters such as f values appear to reflect the grade of HCCs.
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Affiliation(s)
- Bedriye Koyuncu Sokmen
- Department of Radiology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey.
| | - Soheil Sabet
- Department of Radiology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Aysegül Oz
- Department of Radiology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Sadık Server
- Department of Radiology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Esat Namal
- Department of Medical Oncology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Murat Dayangac
- Department of General Surgery, Medipol University, Istanbul, Turkey
| | - Gülen Bülbül Dogusoy
- Department of Pathology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Yaman Tokat
- Department of General Surgery and Liver Transplantation, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Nagihan Inan
- Department of Radiology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
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185
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Brunsing RL, Chen DH, Schlein A, Wolfson T, Gamst A, Mamidipalli A, Violi NV, Marks RM, Taouli B, Loomba R, Kono Y, Sirlin CB. Gadoxetate-enhanced Abbreviated MRI for Hepatocellular Carcinoma Surveillance: Preliminary Experience. Radiol Imaging Cancer 2019; 1:e190010. [PMID: 33778680 DOI: 10.1148/rycan.2019190010] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 09/10/2019] [Accepted: 09/16/2019] [Indexed: 12/15/2022]
Abstract
Purpose To describe a single-center preliminary experience with gadoxetate disodium-enhanced abbreviated MRI for hepatocellular carcinoma (HCC) screening and surveillance in patients with cirrhosis or chronic hepatitis B virus (cHBV). Materials and Methods This was a retrospective study of consecutive patients aged 18 years and older with cirrhosis or cHBV who underwent at least one gadoxetate-enhanced abbreviated MRI examination for HCC surveillance from 2014 through 2016. Examinations were interpreted prospectively by one of six abdominal radiologists for clinical care. Clinical, imaging, and other data were extracted from electronic medical records. Diagnostic adequacy was assessed in all patients. Diagnostic accuracy was assessed in the subset of patients who could be classified as having HCC or not having HCC on the basis of a composite reference standard. Results In this study, 330 patients (93% with cirrhosis; 45% women; mean age, 59 years) underwent gadoxetate-enhanced abbreviated MRI. In the 330 patients, 311 (94.2%) baseline gadoxetate-enhanced abbreviated MRI examinations were diagnostically adequate. Of 141 (43%) of the 330 patients, 91.4% (129 of 141) could be classified as not having HCC and 8.6% (12 of 141) could be classified as having HCC. Baseline gadoxetate-enhanced abbreviated MRI had 0.92 sensitivity (95% confidence interval [CI]: 0.62, 1.00) and 0.91 specificity (95% CI: 0.84, 0.95) for detection of HCC. Of the 330 patients who underwent baseline gadoxetate-enhanced abbreviated MRI, 187 (57%) were lost to follow-up. Conclusion Gadoxetate-enhanced abbreviated MRI is feasible clinically, has a high diagnostic adequacy rate, and, on the basis of our preliminary experience, accurately depicts HCC in high-risk patients. Strategies to enhance follow-up compliance are needed.© RSNA, 2019Keywords: Abdomen/GI, Cirrhosis, Liver, MR-Imaging, Oncology, ScreeningSupplemental material is available for this article.
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Affiliation(s)
- Ryan L Brunsing
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Dennis H Chen
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Alexandra Schlein
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Tanya Wolfson
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Anthony Gamst
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Adrija Mamidipalli
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Naik Vietti Violi
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Robert M Marks
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Bachir Taouli
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Rohit Loomba
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Yuko Kono
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California San Diego, 200 W Arbor Dr, San Diego, CA 92103 (R.L.B., D.H.C., A.S., A.M., C.B.S.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, San Diego, Calif (T.W., A.G.); Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (N.V.V., B.T.); Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland (N.V.V.); Department of Radiology, Naval Medical Center San Diego, Uniformed Services University of the Health Sciences, Bethesda, Md (R.M.M.); Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California San Diego, La Jolla, Calif (R.L.); NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, Calif (R.L.); and Department of Medicine and Radiology, University of California San Diego, La Jolla, Calif (Y.K.)
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Personalized 3D-Printed Transparent Liver Model Using the Hepatobiliary Phase MRI: Usefulness in the Lesion-by-Lesion Imaging-Pathologic Matching of Focal Liver Lesions-Preliminary Results. Invest Radiol 2019; 54:138-145. [PMID: 30379728 DOI: 10.1097/rli.0000000000000521] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE The aim of this study was to investigate the usefulness of a personalized, 3-dimensional (3D)-printed, transparent liver model with focal liver lesions (FLLs) for lesion-by-lesion imaging-pathologic matching. MATERIALS AND METHODS This preliminary, prospective study was approved by our institutional review board, and written informed consent was obtained. Twenty patients (male-to-female ratio, 13:7; mean age, 56 years) with multiple FLLs, including at least one presumed malignant, or an indeterminate lesion 10 mm or less on the preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI), were included. After digital segmentation of hepatobiliary phase MRI, a transparent, 3D-printed liver model with colored anatomical structures and FLLs was produced. During the gross examination of the liver specimen, the per-lesion detection rates were compared between those without (routine protocol) and those with the aid of the 3D-printed liver model. RESULTS Among 98 MRI-detected FLLs (11.5 ± 12.5 mm), the per-lesion detection rate on gross examination using the 3D-printed liver model was 99.0% (97/98), which was significantly higher than that obtained on routine examination (82.7% [81/98]; P < 0.001). In the subgroup analysis, according to the tumor size, 23.9% (16/67) of FLLs 10 mm or less were additionally detected using the liver model, whereas none were additionally detected in greater than 10 mm. The additionally detected 16 FLLs in 12 patients included histologic diagnoses of viable metastases, pathologic complete response of metastases, hepatocellular carcinomas, focal nodular hyperplasia-like nodules, and hemangiomas. CONCLUSIONS A personalized, 3D-printed liver model with FLLs may improve the lesion-by-lesion imaging-pathologic matching for small FLLs, thus leading to accurate pathologic tumor staging and obtaining a reliable reference for imaging-detected FLLs.
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Fraquelli M, Nadarevic T, Giljaca V, Colli A, Miletic D, Štimac D, Casazza G. Contrast-enhanced ultrasound for the diagnosis of hepatocellular carcinoma in advanced chronic liver disease. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2019. [DOI: 10.1002/14651858.cd013483] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Mirella Fraquelli
- Fondazione IRCCS Cà Granda - Ospedale Maggiore Policlinico, Department of Pathophysiology and Transplantation, Università degli Studi di Milano; Gastroenterology and Endoscopy Unit; Via F. Sforza, 35 Milan Italy 20122
| | - Tin Nadarevic
- Clinical Hospital Centre Rijeka; Department of Radiology; Kresimirova 42 Rijeka Croatia 51000
| | - Vanja Giljaca
- Heart of England NHS Foundation Trust, Birmingham Heartlands Hospital; Directorate of Surgery, Department of Gastroenterology; Bordesley Green East Birmingham UK B9 5SS
| | - Agostino Colli
- A Manzoni Hospital ASST Lecco; Department of Internal Medicine; Via dell'Eremo, 9/11 Lecco Italy 23900
| | - Damir Miletic
- Clinical Hospital Centre Rijeka; Department of Radiology; Kresimirova 42 Rijeka Croatia 51000
| | - Davor Štimac
- Clinical Hospital Centre Rijeka; Department of Gastroenterology; Kresimirova 42 Rijeka Croatia 51000
| | - Giovanni Casazza
- Università degli Studi di Milano; Dipartimento di Scienze Biomediche e Cliniche "L. Sacco"; via GB Grassi 74 Milan Italy 20157
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Ji GW, Zhu FP, Xu Q, Wang K, Wu MY, Tang WW, Li XC, Wang XH. Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study. EBioMedicine 2019; 50:156-165. [PMID: 31735556 PMCID: PMC6923482 DOI: 10.1016/j.ebiom.2019.10.057] [Citation(s) in RCA: 120] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 10/23/2019] [Accepted: 10/31/2019] [Indexed: 02/07/2023] Open
Abstract
Background Current guidelines recommend surgical resection as the first-line option for patients with solitary hepatocellular carcinoma (HCC); unfortunately, postoperative recurrence rate remains high and there is no reliable prediction tool. We explored the potential of radiomics coupled with machine-learning algorithms to improve the predictive accuracy for HCC recurrence. Methods A total of 470 patients who underwent contrast-enhanced CT and curative resection for solitary HCC were recruited from 3 independent institutions. In the training phase of 210 patients from Institution 1, a radiomics-derived signature was generated based on 3384 engineered features extracted from primary tumor and its periphery using aggregated machine-learning framework. We employed Cox modeling to build predictive models. The models were then validated using an internal dataset of 107 patients and an external dataset of 153 patients from Institution 2 and 3. Findings Using the machine-learning framework, we identified a three-feature signature that demonstrated favorable prediction of HCC recurrence across all datasets, with C-index of 0.633–0.699. Serum alpha-fetoprotein, albumin-bilirubin grade, liver cirrhosis, tumor margin, and radiomics signature were selected for preoperative model; postoperative model incorporated satellite nodules into above-mentioned predictors. The two models showed superior prognostic performance, with C-index of 0.733–0.801 and integrated Brier score of 0.147–0.165, compared with rival models without radiomics and widely used staging systems (all P < 0.05); they also gave three risk strata for recurrence with distinct recurrence patterns. Interpretation When integrated with clinical data sources, our three-feature radiomics signature promises to accurately predict individual recurrence risk that may facilitate personalized HCC management. We identified a three-feature fusion signature using machine-learning framework. The signature coupled with clinical sources accurately predicted HCC recurrence. This signature may serve as an early detector of aggressive disease. We highlight the complementary nature of radiomics and existing variables.
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Affiliation(s)
- Gu-Wei Ji
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China; Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, PR China; NHC Key Laboratory of Living Donor Liver Transplantation (Nanjing Medical University), Nanjing, PR China.
| | - Fei-Peng Zhu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China
| | - Qing Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
| | - Ke Wang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China; Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, PR China; NHC Key Laboratory of Living Donor Liver Transplantation (Nanjing Medical University), Nanjing, PR China
| | - Ming-Yu Wu
- Department of Hepatobiliary Surgery, Wuxi People's Hospital, Wuxi, PR China
| | - Wei-Wei Tang
- Department of General Surgery, Nanjing First Hospital, Nanjing, PR China
| | - Xiang-Cheng Li
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China; Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, PR China; NHC Key Laboratory of Living Donor Liver Transplantation (Nanjing Medical University), Nanjing, PR China.
| | - Xue-Hao Wang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China; Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, PR China; NHC Key Laboratory of Living Donor Liver Transplantation (Nanjing Medical University), Nanjing, PR China.
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Cannella R, Calandra A, Cabibbo G, Midiri M, Tang A, Brancatelli G. Hyperintense nodule-in-nodule on hepatobiliary phase arising within hypovascular hypointense nodule: Outcome and rate of hypervascular transformation. Eur J Radiol 2019; 120:108689. [DOI: 10.1016/j.ejrad.2019.108689] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 09/04/2019] [Accepted: 09/18/2019] [Indexed: 02/06/2023]
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Cirrhotic Nodule Transformation to Hepatocellular Carcinoma: Natural History and Predictive Biomarkers on Contrast-Enhanced Ultrasound. AJR Am J Roentgenol 2019; 214:96-104. [PMID: 31642698 DOI: 10.2214/ajr.19.21739] [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] [Indexed: 12/30/2022]
Abstract
OBJECTIVE. The objective of our study was to identify sonographic biomarkers predicting or indicating eventual malignant transformation of pathologically confirmed cirrhotic nodules. MATERIALS AND METHODS. Thirty-nine consecutive patients with 44 pathologically confirmed cirrhotic nodules (mean size, 17.5 ± 8.5 [SD] mm) who initially underwent contrast-enhanced ultrasound examination at detection and then underwent follow-up conventional ultrasound every 3-4 months thereafter were retrospectively included. Malignant transformation was identified on the basis of noninvasive diagnostic criteria for hepatocellular carcinoma or rebiopsy. Malignant transformation biomarkers were identified from clinical and sonographic variables and the performance thereof was evaluated using ROC curves. RESULTS. Fourteen nodules (31.8%) had eventual malignant transformation after a median follow-up time of 26.7 months. At initial detection, nodule size (hazard ratio [HR], 1.07; p = 0.019) and a contrast arrival time difference between the nodule and liver of more than 0.5 second (HR, 4.35; p = 0.011) were independent predictors for malignant transformation. The area under the ROC curve (Az) of initial nodule size (Az = 0.64, p = 0.131) and contrast arrival time difference between the nodule and liver (Az = 0.66, p = 0.029) improved after combining the two (Az = 0.75, p = 0.002). During follow-up, echogenicity change (p = 0.044), absolute growth rate (p < 0.001), and relative growth rate (p < 0.001) correlated with malignant transformation. Sensitivity analysis revealed that an absolute growth rate of 5 mm or greater in 6 months or a relative growth rate of 30% or greater in 6 months could be considered as threshold growth for identifying malignant transformation (specificity, 100.0%; positive predictive value, 100.0%). The absence of both echogenicity change and threshold growth was highly accurate in excluding malignant transformation (sensitivity, 100.0%; negative predictive value, 100.0%). CONCLUSION. The contrast arrival time difference between the nodule and liver at initial detection was useful in stratifying eventual malignant transformation risk for cirrhotic nodules. During follow-up, growth rate and echogenicity change correlated with malignant transformation; threshold growth on ultrasound may be considered a potential major feature in noninvasive diagnostic criteria of hepatocellular carcinoma.
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Gawande R, Jalaeian H, Niendorf E, Olgun D, Krystosek L, Rubin N, Spilseth B. MRI in differentiating malignant versus benign portal vein thrombosis in patients with hepatocellular carcinoma: Value of post contrast imaging with subtraction. Eur J Radiol 2019; 118:88-95. [PMID: 31439264 PMCID: PMC6915965 DOI: 10.1016/j.ejrad.2019.07.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 07/03/2019] [Accepted: 07/05/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE To evaluate MR imaging parameters including quantitative multiphasic post-contrast enhancement with subtraction and qualitative diffusion weighted imaging (DWI) in differentiating benign versus malignant portal venous thrombosis (PVT) in patients with hepatocellular carcinoma (HCC). METHOD Radiology reports over a 6-year period ending February 2016 were searched for key words indicating presence of both HCC and PVT on abdominal MRI. 39 patients were identified with PVT characterized as benign or malignant based on pathologic data or serial imaging growth criteria. Image review was performed by two subspecialized radiologists blinded to the diagnosis and medical chart. Signal intensity for regions of interest were recorded within the portal vein thrombus as well as the portal vein on pre-contrast and dynamic post-contrast phases without and with subtraction. Qualitative parameters for DWI and presence of PV expansion were also evaluated. RESULTS Percent enhancement generated high area under the curve (AUC) for both readers on all non-subtraction phases: arterial (0.95/0.98), portal venous (0.97/0.97) and delayed phase (0.96/0.99) and subtraction phases: arterial (0.91/0.96), portal venous (0.94/0.99) and delayed phases (0.96/0.97). Statistically significant differences were observed between benign and malignant PVT for both readers for PV expansion (p= <0.001/0.006). No qualitative DWI parameter reached statistical significance for both readers. CONCLUSIONS Post-contrast and subtraction MRI can reliably distinguish malignant from benign PVT in patients with HCC using subtracted or non-subtracted images and at arterial, portal venous, or delayed phase timing.
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Affiliation(s)
- Rakhee Gawande
- Johns Hopkins University, 601 N Caroline Street, Radiology, JHOC 3235-A, Baltimore, MD, 21287-0010, United States.
| | - Hamed Jalaeian
- Baystate Medical Center, 759 Chestnut Street, Springfield, MA, 01199, United States.
| | - Eric Niendorf
- Mayo Healthcare System, Department of Radiology, 1221 Whipple St., Eau Claire, WI, 54703, United States.
| | - Deniz Olgun
- Istanbul University Cerrahpasa Medical Faculty, Radiology Department, Cerrahpasa Mahallesi Kocamustafapasa, Fatih, İstanbul, 34098, Turkey.
| | - Luke Krystosek
- University of Minnesota Radiology Department, MMC 292, 420 Delaware St. SE, Minneapolis, MN, 55455, United States.
| | - Nathan Rubin
- Biostatistics Core, Masonic Cancer Center, University of Minnesota, 717 Delaware Street SE Rm 140-08, Minneapolis, MN, 55414, United States.
| | - Benjamin Spilseth
- University of Minnesota, 420 Delaware Street S.E. B234, Mayo Memorial Building MMC 292, Minneapolis, MN, 55455, United States.
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192
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Chu L, Rowe S, Fishman E. Cinematic rendering of focal liver masses. Diagn Interv Imaging 2019; 100:467-476. [DOI: 10.1016/j.diii.2019.04.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 04/09/2019] [Accepted: 04/09/2019] [Indexed: 12/12/2022]
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Park HJ, Kim YK, Min JH, Lee J, Lee SJ, Lee ES, Ahn S. Differentiation of hypervascular primary hepatic tumors showing hepatobiliary hypointensity on gadoxetic acid-enhanced magnetic resonance imaging. Abdom Radiol (NY) 2019; 44:3115-3126. [PMID: 31134313 DOI: 10.1007/s00261-019-02068-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE To determine the imaging features that help differentiate hypervascular primary hepatic tumors showing hepatobiliary hypointensity on gadoxetic acid MRI. METHODS This study comprised 148 patients with pathologically proven hypervascular hepatic tumors who underwent gadoxetic acid MRI. Tumors included 23 atypical focal nodular hyperplasias (FNHs), 11 hepatocellular adenomas (HCAs), 15 neuroendocrine tumors (NETs), 25 intrahepatic cholangiocarcinomas (ICCs), and 74 hepatocellular carcinomas (HCCs). MRIs were analyzed for morphologic features, signal intensity, and enhancement pattern of the tumors to determine the differential features using multivariate logistic regression analysis. We evaluated the diagnostic performance of the MRI features for differentiating the five tumor types upon review by two observers. RESULTS Multivariate analysis revealed that reverse target sign on hepatobiliary phase in FNHs (p = 0.009), iso or hyperintensity on ADC map in FNHs and HCAs (p = 0.009, < 0.001, respectively), central hypointensity on arterial phase in NETs (p = 0.001), hepatobiliary target sign in ICCs (p = 0.002), the presence of septum and capsule in HCCs (all p < 0.001) were significant independent features of each tumor group over other tumor groups. Diagnostic accuracy for both observers was 98-98.6% for FNHs, 96.6-98% for HCAs, 97.3-98.6% for NETs, 90.5-94.6% for ICCs, and 85.8-93.2% for HCCs. CONCLUSIONS Ancillary MRI features established in our study can be helpful in the differentiation of hypervascular and hepatobiliary hypointense primary hepatic tumors on gadoxetic acid MRI.
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Affiliation(s)
- Hyun Jeong Park
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Republic of Korea
| | - Young Kon Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50, Ilwon-Dong, Kangnam-Ku, Seoul, 135-710, Republic of Korea.
| | - Ji Hye Min
- Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Republic of Korea
| | - Jisun Lee
- Department of Radiology, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Soon Jin Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50, Ilwon-Dong, Kangnam-Ku, Seoul, 135-710, Republic of Korea
| | - Eun Sun Lee
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Republic of Korea
| | - Soohyun Ahn
- Department of Mathematics, Ajou University, Suwon, Republic of Korea
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Pascual S, Miralles C, Bernabé JM, Irurzun J, Planells M. Surveillance and diagnosis of hepatocellular carcinoma: A systematic review. World J Clin Cases 2019; 7:2269-2286. [PMID: 31531321 PMCID: PMC6718786 DOI: 10.12998/wjcc.v7.i16.2269] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 07/04/2019] [Accepted: 07/27/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) appears in most of cases in patients with advanced liver disease and is currently the primary cause of death in this population. Surveillance of HCC has been proposed and recommended in clinical guidelines to obtain earlier diagnosis, but it is still controversial and is not accepted worldwide.
AIM To review the actual evidence to support the surveillance programs in patients with cirrhosis as well as the diagnosis procedure.
METHODS Systematic review of recent literature of surveillance (tools, interval, cost-benefit, target population) and the role of imaging diagnosis (radiological non-invasive diagnosis, optimal modality and agents) of HCC.
RESULTS The benefits of surveillance of HCC, mainly with ultrasonography, have been assessed in several prospective and retrospective analysis, although the percentage of patients diagnosed in surveillance programs is still low. Surveillance of HCC permits diagnosis in early stages allows better access to curative treatment and increases life expectancy in patients with cirrhosis. HCC is a tumor with special radiological characteristics in computed tomography and magnetic resonance imaging, which allows highly accurate diagnosis without routine biopsy confirmation. The actual recommendation is to perform biopsy only in indeterminate nodules.
CONCLUSION The evidence supports the recommendation of performing surveillance of HCC in patients with cirrhosis susceptible of treatment, using ultrasonography every 6 mo. The diagnosis evaluation of HCC can be established based on noninvasive imaging criteria in patients with cirrhosis.
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Affiliation(s)
- Sonia Pascual
- Liver Unit, Hospital General Universitario de Alicante, Alicante 03010, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, CIBEREHD, Alicante 03010, Spain
| | - Cayetano Miralles
- Liver Unit, Hospital General Universitario de Alicante, Alicante 03010, Spain
| | - Juan M Bernabé
- Radiology Department, Hospital General Universitario de Alicante, Alicante 03010, Spain
| | - Javier Irurzun
- Radiology Department, Hospital General Universitario de Alicante, Alicante 03010, Spain
| | - Mariana Planells
- Radiology Department, Hospital General Universitario de Alicante, Alicante 03010, Spain
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Server S, Sabet S, Yaghouti K, Namal E, Inan N, Tokat Y. Value of Imaging Findings in the Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Transplant Proc 2019; 51:2403-2407. [PMID: 31402256 DOI: 10.1016/j.transproceed.2019.01.178] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 01/28/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND The purpose of this study was to determine the utility of some imaging findings in predicting microvascular invasion (MVI) and hepatocellular carcinoma (HCC) recurrence risk after liver transplantation. METHOD This retrospective study included 123 patients with histopathologically proven HCC at explant. All HCCs were classified as MVI positive (group I) or negative (group II) based on histopathological findings. In each group, multifocality, largest tumor size, bulging (tumor causing liver capsule expansion), beak sign (the acute angle between the tumor and liver parenchyma), and diffusion restriction on diffusion weighted images (DWI) were evaluated. These findings were compared between the groups by Student's t test. The relation between the parameters and MVI was analyzed by using the Spearman's correlation test. RESULTS Of the total patients, 30.1% had MVI (group I) and 69.9% (group II) did not have MVI. Presence of beak sign (P ≤ .005), bulging sign (P = .002), and diffusion restriction (P = .045) were significantly more frequent in group I than group II. The beak sign, bulging sign, and diffusion restriction were correlated with presence of MVI. Largest tumor size and multifocality were higher in group I than group II, but the differences were not statistically significant. CONCLUSION Radiologists and transplant surgeons should be aware of some clue imaging findings, especially beak and bulging signs because these findings may predict the presence of MVI in HCC. These patients might benefit from histologic confirmation of the tumor characteristics through biopsy and subsequent bridging treatment options before liver transplantation to reduce the risk of recurrence.
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Affiliation(s)
- Sadik Server
- Department of Radiology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey.
| | - Soheil Sabet
- Department of Radiology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Kourosh Yaghouti
- Department of Radiology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Esat Namal
- Department of Medical Oncology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Nagihan Inan
- Department of Radiology, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
| | - Yaman Tokat
- Department of Liver Transplantation, Istanbul Bilim University, Sisli Florence Nightingale Hospital, Istanbul, Turkey
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Ballestri S, Nascimbeni F, Lugari S, Lonardo A, Francica G. A critical appraisal of the use of ultrasound in hepatic steatosis. Expert Rev Gastroenterol Hepatol 2019; 13:667-681. [PMID: 31104523 DOI: 10.1080/17474124.2019.1621164] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction: Nonalcoholic fatty liver disease (NAFLD) spans steatosis through nonalcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and hepatocellular carcinoma (HCC). NAFLD carries an increased risk of cardio-metabolic and liver-related events accounting for a substantial economic burden. Given that the natural history of NAFLD is critically dependent on the stage of fibrosis, non-invasively identifying the subgroup of patients at a higher risk of progressive disease is key. Areas covered: This review highlights the recent developments in the use of ultrasound-based techniques in NAFLD and their performance in predicting metabolic derangements, cardiovascular risk, and progression of liver disease, notably including diagnosis of fibrosing NASH, identification, and treatment of HCC. Expert opinion: Our ability to identify NAFLD patients and to estimate steatofibrosis with various ultrasound-based techniques has undergone tremendous progress over the last few years. However, it is more difficult to capture the inflammatory component of NASH with such ultrasound-assisted techniques. Moreover, semi-quantitative, quantitative, elastographic, and contrast-enhanced ultrasound techniques are increasingly being appreciated and made available but not all such techniques will gain success in the clinical and research area. Therefore, further research will precisely define the role of the most innovative ultrasonographic techniques, while reducing costs and increasing feasibility.
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Affiliation(s)
- Stefano Ballestri
- a Internal Medicine Unit , Azienda USL of Modena, Pavullo Hospital , Modena , Italy
| | - Fabio Nascimbeni
- b Ospedale Civile di Baggiovara, Metabolic Medicine Unit , Azienda Ospedaliero Universitaria of Modena , Modena , Italy
| | - Simonetta Lugari
- c Ospedale Civile di Baggiovara, Metabolic Medicine Unit , Azienda Ospedaliero-Universitaria of Modena and University of Modena and Reggio Emilia , Modena , Italy
| | - Amedeo Lonardo
- b Ospedale Civile di Baggiovara, Metabolic Medicine Unit , Azienda Ospedaliero Universitaria of Modena , Modena , Italy
| | - Giampiero Francica
- d Interventional Ultrasound Unit , Pineta Grande Hospital , Castel Volturno , Italy
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Nadarevic T, Giljaca V, Colli A, Fraquelli M, Casazza G, Miletic D, Štimac D. Computed tomography for the diagnosis of hepatocellular carcinoma in chronic advanced liver disease. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2019. [DOI: 10.1002/14651858.cd013362] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Tin Nadarevic
- Clinical Hospital Centre Rijeka; Department of Radiology; Kresimirova 42 Rijeka Croatia 51000
| | - Vanja Giljaca
- Heart of England NHS Foundation Trust, Birmingham Heartlands Hospital; Directorate of Surgery, Department of Gastroenterology; Bordesley Green East Birmingham UK B9 5SS
| | - Agostino Colli
- A Manzoni Hospital ASST Lecco; Department of Internal Medicine; Via dell'Eremo, 9/11 Lecco Italy 23900
| | - Mirella Fraquelli
- Fondazione IRCCS Cà Granda - Ospedale Maggiore Policlinico, Department of Pathophysiology and Transplantation, Università degli Studi di Milano; Gastroenterology and Endoscopy Unit; Via F. Sforza, 35 Milan Italy 20122
| | - Giovanni Casazza
- Università degli Studi di Milano; Dipartimento di Scienze Biomediche e Cliniche "L. Sacco"; via GB Grassi 74 Milan Italy 20157
| | - Damir Miletic
- Clinical Hospital Centre Rijeka; Department of Radiology; Kresimirova 42 Rijeka Croatia 51000
| | - Davor Štimac
- Clinical Hospital Centre Rijeka; Department of Gastroenterology; Kresimirova 42 Rijeka Croatia 51000
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198
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Li Y, Chen J, Weng S, Sun H, Yan C, Xu X, Ye R, Hong J. Small hepatocellular carcinoma: using MRI to predict histological grade and Ki-67 expression. Clin Radiol 2019; 74:653.e1-653.e9. [PMID: 31200932 DOI: 10.1016/j.crad.2019.05.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 05/16/2019] [Indexed: 02/07/2023]
Abstract
AIMS To investigate the predictive indicators of small aggressive hepatocellular carcinomas by examining the association between preoperative magnetic resonance imaging (MRI) parameters and Ki-67 expression and histological grade. MATERIALS AND METHODS Sixty patients with small hepatocellular carcinomas (tumour diameter: ≤3 cm, tumour numbers: ≤2) who underwent curative resection or biopsy after contrast-enhanced and diffusion-weighted MRI were evaluated retrospectively. Signal intensity (SI) of the whole lesion and erector spinae muscle was measured quantitatively. Tumour-to-muscle SI ratio was calculated. The association between these MRI parameters and histological grade and Ki-67 level was then investigated. RESULTS There was a significant correlation between tumour-to-muscle SI ratio and histological grade in tissues captured during the non-enhanced T1-weighted (p=0.001), arterial phase (p=0.001), and portal venous phase (p=0.036) of dynamic contrast-enhanced MRI and apparent diffusion coefficient (p=0.027). Arterial inhomogeneous enhancement was also correlated with high-Ki-67 expression (p=0.032). CONCLUSIONS Preoperative MRI may serve as a non-invasive tool for prediction of small, aggressive hepatocellular carcinomas, which may otherwise be treated conservatively.
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Affiliation(s)
- Y Li
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, China.
| | - J Chen
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, China
| | - S Weng
- Department of Radiology, Fujian Provincial Maternity and Child Health Hospital, Fuzhou, Fujian, 350001, China
| | - H Sun
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, China
| | - C Yan
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, China
| | - X Xu
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, China
| | - R Ye
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, China
| | - J Hong
- Key Laboratory of Radiation Biology (Fujian Medical University), Fujian Province University; Department of Radiation Oncology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China
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199
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Colli A, Nadarević T, Miletić D, Giljaca V, Fraquelli M, Štimac D, Casazza G. Abdominal ultrasound and alpha‐fetoprotein for the diagnosis of hepatocellular carcinoma. Cochrane Database Syst Rev 2019; 2019:CD013346. [PMCID: PMC6547443 DOI: 10.1002/14651858.cd013346] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
This is a protocol for a Cochrane Review (Diagnostic test accuracy). The objectives are as follows: To assess the diagnostic accuracy of abdominal ultrasound and alpha‐fetoprotein (AFP), alone or in combination, for the diagnosis of hepatocellular carcinoma (HCC) of any size and at any stage in people with chronic advanced liver disease, either in a surveillance programme or in a clinical setting.
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Affiliation(s)
- Agostino Colli
- A Manzoni Hospital ASST LeccoDepartment of Internal MedicineVia dell'Eremo, 9/11LeccoItaly23900
| | - Tin Nadarević
- Clinical Hospital Centre RijekaDepartment of RadiologyKresimirova 42RijekaCroatia51000
| | - Damir Miletić
- Clinical Hospital Centre RijekaDepartment of RadiologyKresimirova 42RijekaCroatia51000
| | - Vanja Giljaca
- Heart of England NHS Foundation Trust, Birmingham Heartlands HospitalDirectorate of Surgery, Department of GastroenterologyBordesley Green EastBirminghamUKB9 5SS
| | - Mirella Fraquelli
- Fondazione IRCCS Cà Granda ‐ Ospedale Maggiore Policlinico, Department of Pathophysiology and Transplantation, Università degli Studi di MilanoGastroenterology and Endoscopy UnitVia F. Sforza, 35MilanItaly20122
| | - Davor Štimac
- Clinical Hospital Centre RijekaDepartment of GastroenterologyKresimirova 42RijekaCroatia51000
| | - Giovanni Casazza
- Università degli Studi di MilanoDipartimento di Scienze Biomediche e Cliniche "L. Sacco"via GB Grassi 74MilanItaly20157
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200
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Lucatelli P, Ginnani Corradini L, De Rubeis G, Rocco B, Basilico F, Cannavale A, Nardis PG, Corona M, Saba L, Catalano C, Bezzi M. Balloon-Occluded Transcatheter Arterial Chemoembolization (b-TACE) for Hepatocellular Carcinoma Performed with Polyethylene-Glycol Epirubicin-Loaded Drug-Eluting Embolics: Safety and Preliminary Results. Cardiovasc Intervent Radiol 2019; 42:853-862. [PMID: 30843093 PMCID: PMC6502778 DOI: 10.1007/s00270-019-02192-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 02/21/2019] [Indexed: 12/26/2022]
Abstract
PURPOSE To report technical success, safety profile and oncological results of balloon-occluded transcatheter arterial chemoembolization using a balloon micro-catheter and epirubicin-loaded polyethylene-glycol (PEG) microsphere (100 ± 25 µm and 200 ± 50 µm) in patients with hepatocellular carcinoma (HCC). MATERIALS AND METHODS This is a single-centre, single-arm, retrospective study with 6-month follow-up. Twenty-two patients (Child-Pugh A 68% [15/22], B in 32% [7/22]; age 67.05 ± 14 years) with 29 HCC were treated in 24 procedures. Technical success is defined: ability to place the balloon micro-catheter within the required vascular segment, balloon-occluded arterial stump pressure drops and assessment of microsphere deposition. Laboratory assessment pre/post-procedural and complications were analysed, respectively, according to Common Terminology Criteria for Adverse Events (CTCAEv5) and CIRSE system. Postembolization syndrome (PES) was defined as fever and/or nausea and/or pain onset. Oncological results were evaluated using m-RECIST criteria with CT/MRI imaging at 1 and 3-6 months. In partial responder patients, pre/post-procedural tumour volume was compared. RESULTS Pre-planned feeder was reached in all cases. Pressure drop average was 51.1 ± 21.6 mmHg. Exclusive target embolization was achieved in 14/24 procedures (58.3%). Laboratory test modifications were all grade 1. 4/24 adverse events occurred (17%): pseudo-aneurysm of the feeder (grade 3), liver abscess (grade 2) and 2 asymptomatic segmentary biliary tree dilatations (grade 2). PES occurred in 8/24 (33%). The complete response at 1 and 3-6 months was 44.8% (13/29) and 52.9% (9/17), respectively. The partial response at 1 and 3-6 months was 55% (16/29) and 4/17 (23.5%), respectively. Among partial responder patients, the average percentage of tumour volume reduction was 64.9 ± 27.3%. CONCLUSION Epirubicin-loaded PEG microsphere b-TACE is technically feasible, safe and effective procedure for HCC treatment.
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Affiliation(s)
- Pierleone Lucatelli
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Luca Ginnani Corradini
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Gianluca De Rubeis
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Bianca Rocco
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Fabrizio Basilico
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Alessandro Cannavale
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Pier Giorgio Nardis
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Mario Corona
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Luca Saba
- Department of Medical Imaging, Azienda Ospedaliero Universitaria (A.O.U.) of Cagliari-Polo di Monserrato, Cagliari, Italy
| | - Carlo Catalano
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Mario Bezzi
- Vascular and Interventional Radiology Unit, Department of Diagnostic Service, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
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