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Andraus W, Tustumi F, Santana AC, Pinheiro RSN, Waisberg DR, Lopes LD, Arantes RM, Santos VR, de Martino RB, D'Albuquerque LAC. Liver transplantation as an alternative for the treatment of perihilar cholangiocarcinoma: A critical review. Hepatobiliary Pancreat Dis Int 2024; 23:139-145. [PMID: 38310060 DOI: 10.1016/j.hbpd.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 01/19/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Perihilar cholangiocarcinoma (phCCC) is a dismal malignancy. There is no consensus regarding the best treatment for patients with unresectable phCCC. The present review aimed to gather the current pieces of evidence for liver transplantation and liver resection as a treatment for phCCC and to build better guidance for clinical practice. DATA SOURCES The search was conducted in PubMed, Embase, Cochrane, and LILACS. The related references were searched manually. Inclusion criteria were: reports in English or Portuguese literature that a) patients with confirmed diagnosis of phCCC; b) patients treated with a curative intent; c) patients with the outcomes of liver resection and liver transplantation. Case reports, reviews, letters, editorials, conference abstracts and papers with full-text unavailability were excluded from the analysis. RESULTS Most of the current literature is based on observational retrospective studies with low grades of evidence. Liver resection has better long-term outcomes than systemic chemotherapy or palliation therapy and liver transplantation is a good alternative for selected patients with unresectable phCCC. All candidates for resection or transplantation should be medically fit and free of intrahepatic or extrahepatic diseases. As a general rule, patients presenting with a tumor having a longitudinal size > 3 cm or extending below the cystic duct, lymph node disease, confirmed extrahepatic dissemination; intraoperatively diagnosed metastatic disease; a history of other malignancies within the last five years, and did not complete chemoradiation regimen and were medically unfit should not be considered for transplantation. Some of these criteria should be individually assessed. Liver transplantation or resection should only be considered in highly experienced hepatobiliary centers, and any decision-making must be based on a multidisciplinary evaluation. CONCLUSIONS phCCC is a complex condition with high morbidity. Surgical therapies, including hepatectomy and liver transplantation, are the best option for better long-term disease-free survival.
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Affiliation(s)
- Wellington Andraus
- Department of Gastroenterology, Transplantation Unit, Universidade de São Paulo, São Paulo, Brazil.
| | - Francisco Tustumi
- Department of Gastroenterology, Transplantation Unit, Universidade de São Paulo, São Paulo, Brazil
| | - Alexandre Chagas Santana
- Department of Gastroenterology, Transplantation Unit, Universidade de São Paulo, São Paulo, Brazil
| | | | - Daniel Reis Waisberg
- Department of Gastroenterology, Transplantation Unit, Universidade de São Paulo, São Paulo, Brazil
| | - Liliana Ducatti Lopes
- Department of Gastroenterology, Transplantation Unit, Universidade de São Paulo, São Paulo, Brazil
| | - Rubens Macedo Arantes
- Department of Gastroenterology, Transplantation Unit, Universidade de São Paulo, São Paulo, Brazil
| | - Vinicius Rocha Santos
- Department of Gastroenterology, Transplantation Unit, Universidade de São Paulo, São Paulo, Brazil
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Han D, Li Y, He X, Zhang J, Zhou Y, Zhang J, Zhang L. Differentiating mass-forming intrahepatic cholangiocarcinoma from atypical hepatocellular carcinoma using Gd-EOB-DTPA-enhanced magnetic resonance imaging combined with serum markers in at-risk patients with hepatitis B virus. Quant Imaging Med Surg 2023; 13:7156-7169. [PMID: 37869332 PMCID: PMC10585505 DOI: 10.21037/qims-23-396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 08/24/2023] [Indexed: 10/24/2023]
Abstract
Background The precise differentiation of intrahepatic cholangiocarcinoma (ICC) from atypical hepatocellular carcinoma (HCC) is vital for treatment strategy and prognostic prediction. In clinical practice, nearly 40% of HCCs demonstrate atypical manifestations, particularly HCCs with rim arterial phase hyperenhancement (APHE), which is challenging to differentiate from mass-forming ICC. Thus, we aimed to develop a diagnostic regimen of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) contrast-enhanced magnetic resonance imaging (MRI) combined with serum tumor markers in differentiating mass-forming ICC from atypical HCC in at-risk patients with the hepatitis B virus (HBV). Methods This study enrolled 129 patients with pathologically proven mass-forming ICCs (n=53) and atypical HCCs (n=76) who had undergone preoperative Gd-EOB-DTPA contrast-enhanced MRI. The clinical data and imaging findings were analyzed. Univariate and multivariate logistic analyses were performed to identify the independent predictors for differentiating mass-forming ICCs from atypical HCCs. The diagnostic performance was evaluated using receiver operating characteristic (ROC) curves, and DeLong test was used to compare the areas under curves of all independent predictors. Results Univariate logistic regression analysis revealed normal alpha fetoprotein (AFP), elevated carbohydrate antigen 19-9 (CA19-9) level, elevated carcinoma embryonic antigen (CEA) level, central hyperintensity on T2-weighted imaging (T2WI), central hypointensity on T2WI, and targetoid sign on hepatobiliary phase (HBP) and targetoid restriction on diffusion-weighted imaging (DWI) were more likely to be significant predictors favoring mass-forming ICCs (all P values <0.05). In contrast, multifocal hyperintensity on T2WI and capsule sign were more frequently seen in patients with atypical HCC (all P values <0.05). Multivariate analysis revealed normal AFP, elevated CA19-9 level, targetoid sign on HBP, and targetoid restriction on DWI (all P=0.001) were independent predictors for differentiating mass-forming ICCs from atypical HCCs; DeLong test showed that the area under curve (AUC) increased to 0.949 when the above predictors were combined (all P values <0.05), and the sensitivity, specificity, and accuracy of the combined independent predictors were 88.7%, 93.4%, and 91.5%, respectively. Conclusions A diagnostic regimen integrating tumor markers (AFP, CA19-9) and imaging biomarkers (targetoid restriction on DWI and/or targetoid sign on HBP) using Gd-EOB-DTPA-enhanced MRI could help to differentiate mass-forming ICCs from atypical HCCs and achieve high diagnostic performance of mass-forming ICCs in at-risk patients with the HBV. Keywords Mass-forming intrahepatic cholangiocarcinoma (mass-forming ICC); atypical hepatocellular carcinoma (atypical HCC); magnetic resonance imaging (MRI); gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA); hepatobiliary phase (HBP).
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Affiliation(s)
- Dingsheng Han
- Imaging and Nuclear Medicine Department, Henan University of Chinese Medicine, Zhengzhou, China
| | - Yalin Li
- Imaging and Nuclear Medicine Department, Henan University of Chinese Medicine, Zhengzhou, China
| | - Xu He
- Imaging and Nuclear Medicine Department, Henan University of Chinese Medicine, Zhengzhou, China
| | - Jiacheng Zhang
- Imaging and Nuclear Medicine Department, Henan University of Chinese Medicine, Zhengzhou, China
| | - Yanru Zhou
- Department of MRI, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
- Zhengzhou Key Laboratory of Intelligent Analysis and Utilization of Traditional Chinese Medicine Information, Henan University of Chinese Medicine, Zhengzhou, China
| | - Jiajia Zhang
- Department of Radiology, Gold Coast University Hospital, School of Medicine, Bond University, Gold Coast, Queensland, Australia
| | - Lan Zhang
- Department of MRI, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
- Zhengzhou Key Laboratory of Intelligent Analysis and Utilization of Traditional Chinese Medicine Information, Henan University of Chinese Medicine, Zhengzhou, China
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Xiao Y, Zhou C, Ni X, Huang P, Wu F, Yang C, Zeng M. Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma. Cancer Imaging 2023; 23:15. [PMID: 36782276 PMCID: PMC9926776 DOI: 10.1186/s40644-023-00533-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/09/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Appropriate preoperative identification of iCCA subtype is essential for personalized management, so the aim of this study is to investigate the role of MR imaging features in preoperatively differentiating the iCCA subtype. METHODS Ninety-three patients with mass-forming intrahepatic cholangiocarcinoma (iCCA, 63 small duct type and 30 large duct type) were retrospectively enrolled according to the latest 5th WHO classification (mean age, males vs. females: 60.66 ± 10.53 vs. 61.88 ± 12.82, 50 men). Significant imaging features for differentiating large duct iCCA and small duct iCCA were identified using univariate and multivariate logistic regression analyses, and a regression-based predictive model was then generated. Furthermore, diagnostic performance parameters of single significant imaging features and the predictive model were obtained, and corresponding receiver operating characteristic (ROC) curves were subsequently presented. RESULTS The univariate analysis showed that tumor in vein, arterial phase hypoenhancement, intrahepatic duct dilatation, lack of targetoid restriction and lack of targetoid appearance in T2 were predictors of large duct type iCCA. Arterial phase hypoenhancement, intrahepatic duct dilatation and lack of targetoid restriction were independent predictors for large duct type iCCA in multivariate analysis. The regression-based predictive model has achieved the best preoperative prediction performance in iCCA subcategorization so far. The area under the ROC curve of the regression-based predictive model was up to 0.91 (95% CI: 0.85, 0.98), and it was significantly higher than every single significant imaging feature. CONCLUSIONS Arterial phase hypoenhancement, intrahepatic duct dilatation and lack of targetoid restriction could be considered reliable MR imaging indicators of large duct type iCCA. MR imaging features can facilitate noninvasive prediction of iCCA subtype with satisfactory predictive performance.
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Affiliation(s)
- Yuyao Xiao
- grid.8547.e0000 0001 0125 2443Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032 China
| | - Changwu Zhou
- grid.8547.e0000 0001 0125 2443Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032 China ,grid.413087.90000 0004 1755 3939Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032 China
| | - Xiaoyan Ni
- grid.8547.e0000 0001 0125 2443Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032 China
| | - Peng Huang
- grid.8547.e0000 0001 0125 2443Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032 China
| | - Fei Wu
- grid.8547.e0000 0001 0125 2443Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032 China
| | - Chun Yang
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. .,Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. .,Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
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Chen X, Zhu J, Zou Z, Du M, Xie J, Ye Y, Zhang L, Li Y. Nomogram based on MRI for preoperative prediction of Ki-67 expression in patients with intrahepatic mass cholangiocarcinoma. Abdom Radiol (NY) 2023; 48:567-578. [PMID: 36401626 PMCID: PMC9902416 DOI: 10.1007/s00261-022-03719-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 10/16/2022] [Accepted: 10/17/2022] [Indexed: 11/21/2022]
Abstract
OBJECTIVES To validate a new nomogram based on magnetic resonance imaging (MRI) for pre-operative prediction of Ki-67 expression in patients with intrahepatic mass cholangiocarcinoma (IMCC). METHODS A total of 78 patients with clinicopathologically confirmed IMCC who underwent pre-operative gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid enhanced MRI between 2016 and 2022 were enrolled in the training and validation group (53 patients and 25 patients, respectively). Images including qualitative, quantitative MRI features and clinical data were evaluated. Univariate analysis and multivariate logistic regression were used to select the independent predictors and establish different predictive models. The predictive performance was validated by operating characteristic curve (ROC) analysis, calibration curve, and decision curve analysis (DCA). The validation cohort was used to test the predictive performance of the optimal model. The nomogram was constructed with the optimal model. RESULTS In the training cohort, independent predictors obtained from the combined model were DWI (OR 1822.741; 95% CI 6.189, 536,781.805; P = 0.01) and HBP enhancement pattern (OR 14.270; 95% CI 1.044, 195.039; P = 0.046). The combined model showed the good performance (AUC 0.981; 95% CI 0.952, 1.000) for predicting Ki-67 expression. In the validation cohort, The combined model (AUC 0.909; 95% CI 0.787, 1.000)showed the best performance compared to the clinical model (AUC 0.448; 95% CI 0.196, 0.700) and MRI model (AUC 0.770; 95% CI 0.570, 0.970). CONCLUSION This new nomogram has a good performance in predicting Ki-67 expression in patients with IMCC, which could help the decision-making of the patients' therapy strategies.
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Affiliation(s)
- Xiang Chen
- Department of Radiology, The First Affiliated Hospital of Soochow University, Shizi Street 188#, Suzhou, 215000 Jiangsu People’s Republic of China
| | - Jingfen Zhu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Shizi Street 188#, Suzhou, 215000 Jiangsu People’s Republic of China
| | - Zigui Zou
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, 215000 Jiangsu People’s Republic of China
| | - Mingzhan Du
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, 215000 Jiangsu People’s Republic of China
| | - Junjian Xie
- Department of Radiology, The First Affiliated Hospital of Soochow University, Shizi Street 188#, Suzhou, 215000 Jiangsu People’s Republic of China
| | - Yujie Ye
- Department of Radiology, The First Affiliated Hospital of Soochow University, Shizi Street 188#, Suzhou, 215000 Jiangsu People’s Republic of China
| | - Ling Zhang
- Department of Radiology, Sun Yat-Sen University Cancer Center, Dongfeng East Road 651#, Guangzhou, 510060, Guangdong, People's Republic of China. .,State Key Laboratory of Oncology in South China, Guangzhou, 510060, Guangdong, People's Republic of China. .,Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, People's Republic of China.
| | - Yonggang Li
- Department of Radiology, The First Affiliated Hospital of Soochow University, Shizi Street 188#, Suzhou, 215000, Jiangsu, People's Republic of China. .,National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, People's Republic of China. .,Institute of Medical Imaging, Soochow University, Suzhou, 215000, Jiangsu, People's Republic of China.
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Gatti M, Maino C, Darvizeh F, Serafini A, Tricarico E, Guarneri A, Inchingolo R, Ippolito D, Ricardi U, Fonio P, Faletti R. Role of gadoxetic acid-enhanced liver magnetic resonance imaging in the evaluation of hepatocellular carcinoma after locoregional treatment. World J Gastroenterol 2022; 28:3116-3131. [PMID: 36051340 PMCID: PMC9331537 DOI: 10.3748/wjg.v28.i26.3116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/25/2022] [Accepted: 06/17/2022] [Indexed: 02/06/2023] Open
Abstract
Locoregional treatments, as alternatives to surgery, play a key role in the management of hepatocellular carcinoma (HCC). Liver magnetic resonance imaging (MRI) enables a multiparametric assessment, going beyond the traditional dynamic computed tomography approach. Moreover, the use of hepatobiliary agents can improve diagnostic accuracy and are becoming important in the diagnosis and follow-up of HCC. However, the main challenge is to quickly identify classical responses to loco-regional treatments in order to determine the most suitable management strategy for each patient. The aim of this review is to provide a summary of the most common and uncommon liver MRI findings in patients who underwent loco-regional treatments for HCC, with a special focus on ablative therapies (radiofrequency, microwaves and cryoablation), trans-arterial chemoembolization, trans-arterial radio-embolization and stereotactic ablative radiotherapy techniques, considering the usefulness of gadoxetate disodium (Gd-EOB-DTPA) contrast agent.
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Affiliation(s)
- Marco Gatti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, University of Milano-Bicocca, Monza 20900, Italy
- Department of Diagnostic Radiology, Ospedale San Gerardo, Monza 20900, Italy
| | - Fatemeh Darvizeh
- School of Medicine, Vita-Salute San Raffaele University, Milan 20121, Italy
| | | | - Eleonora Tricarico
- Department of Radiology, "F. Perinei" Hospital, Altamura (BA) 70022, Italy
| | | | - Riccardo Inchingolo
- Interventional Radiology Unit, “F. Miulli” Regional General Hospital, Acquaviva delle Fonti (BA) 70021, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, University of Milano-Bicocca, Monza 20900, Italy
- Department of Diagnostic Radiology, Ospedale San Gerardo, Monza 20900, Italy
| | - Umberto Ricardi
- Department of Oncology, University of Turin, Turin 10126, Italy
| | - Paolo Fonio
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
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Gatti M, Maino C, Tore D, Carisio A, Darvizeh F, Tricarico E, Inchingolo R, Ippolito D, Faletti R. Benign focal liver lesions: The role of magnetic resonance imaging. World J Hepatol 2022; 14:923-943. [PMID: 35721295 PMCID: PMC9157713 DOI: 10.4254/wjh.v14.i5.923] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 08/07/2021] [Accepted: 04/09/2022] [Indexed: 02/06/2023] Open
Abstract
Liver lesions are common findings in radiologists’ daily routine. They are a complex category of pathology that range from solitary benign lesions to primary liver cancer and liver metastases. Benign focal liver lesions can arise from different liver cell types: Epithelial (hepatocytes and biliary cells) and nonepithelial (mesenchymal cells). Liver magnetic resonance imaging (MRI) is a fundamental radiological method in these patients as it allows with its multiparametric approach optimal non-invasive tissue characterization. Furthermore, advanced liver MRI techniques such as diffusion-weighted imaging and hepatobiliary contrast agents have improved the detection of focal liver lesions and can be highly effective in differentiating pseudotumor from tumors, as well as benign from malignant lesions, and can also be used for differential diagnosis. Although histological examination can be useful in making a definitive diagnosis, MRI is an important modality in the diagnosis of liver lesions with a significant impact on patient care. This aim of this review is to provide a comprehensive overview of benign liver lesions on MRI.
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Affiliation(s)
- Marco Gatti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, Ospedale San Gerardo, Monza 20900, Italy
| | - Davide Tore
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Andrea Carisio
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Fatemeh Darvizeh
- School of Medicine, Vita-Salute San Raffaele University, Milan 20121, Japan
| | | | - Riccardo Inchingolo
- Interventional Radiology Unit, “F. Miulli” Regional General Hospital, Acquaviva delle Fonti 70021, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
- Department of Diagnostic Radiology, Ospedale San Gerardo, Monza 20900, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
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Granata V, Grassi R, Fusco R, Setola SV, Belli A, Ottaiano A, Nasti G, La Porta M, Danti G, Cappabianca S, Cutolo C, Petrillo A, Izzo F. Intrahepatic cholangiocarcinoma and its differential diagnosis at MRI: how radiologist should assess MR features. Radiol Med 2021; 126:1584-1600. [PMID: 34843029 DOI: 10.1007/s11547-021-01428-7] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 11/02/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Intrahepatic cholangiocarcinoma (ICC) is the second most common type of primary hepatic malignancy. Aim of this work is to analyse the features of ICC and its differential diagnosis at MRI, assessing two categories intraparenchymal and peribiliary lesions. METHODS The study population included 88 patients with histological diagnosis of ICCs: 61 with mass-forming type, 23 with periductal-infiltrating tumours and 4 with intraductal-growing type. As a control study groups, we identified: 86 consecutive patients with liver colorectal intrahepatic metastases (mCRC) (groups A); 35 consecutive patients with peribiliary metastases (groups B); 62 consecutive patients (groups C) with hepatocellular carcinoma (HCC); 18 consecutive patients (groups D) with combined hepatocellular cholangiocarcinoma (cHCC-CCA); and 26 consecutive patients (groups E) with hepatic hemangioma. For all lesions, magnetic resonance (MR) features were assessed according to Liver Imaging Reporting and Data System (LI-RADS) version 2018. The liver-specific gadolinium ethoxybenzyl dimeglumine-EOB (Primovist, Bayer Schering Pharma, Germany), was employed. Chi-square test was employed to analyse differences in percentage values of categorical variable, while the nonparametric Kruskal-Wallis test was used to test for statistically significant differences between the median values of the continuous variables. However, false discovery rate adjustment according to Benjamin and Hochberg for multiple testing was considered. RESULTS T1- and T2-weighted signal intensity (SI), restricted diffusion, transitional phase (TP) and hepatobiliary phase (HP) aspects allowed the differentiation between study group (mass-forming ICCs) and each other control group (A, C, D, E) with statistical significance, while arterial phase (AP) appearance allowed the differentiation between study group and the control groups C and D with statistical significance and PP appearance allowed the differentiation between study group and the control groups A, C and D with statistical significance. Instead, no MR feature allowed the differentiation between study group (periductal-infiltrating type) and control group B. CONCLUSION T1 and T2 W SI, restricted diffusion, TP and HP appearance allowed the differentiation between mass-forming ICCs and mimickers with statistical significance, while AP appearance allowed the differentiation between study group and the control groups C and D with statistical significance and PP appearance allowed the differentiation between study group and the control groups A, C and D.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli", Naples, Italy
| | - Roberta Grassi
- Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy
| | | | - Sergio Venanzio Setola
- Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli", Naples, Italy
| | - Andrea Belli
- Division of Hepatobiliary Surgical Oncology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli", Naples, Italy
| | - Alessandro Ottaiano
- Abdominal Oncology Division, "Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli", Naples, Italy
| | - Guglielmo Nasti
- Abdominal Oncology Division, "Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli", Naples, Italy
| | | | - Ginevra Danti
- Division of Radiodiagnostic, "Azienda Ospedaliero-Universitaria Careggi", Firenze, Italy.,Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122, Milan, Italy
| | - Salvatore Cappabianca
- Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy
| | - Carmen Cutolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Antonella Petrillo
- Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli", Naples, Italy
| | - Francesco Izzo
- Division of Hepatobiliary Surgical Oncology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli", Naples, Italy
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Ness JR, Molvar C. Radioembolization of Intrahepatic Cholangiocarcinoma: Patient Selection, Outcomes, and Competing Therapies. Semin Intervent Radiol 2021; 38:438-444. [PMID: 34629711 DOI: 10.1055/s-0041-1735526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Intrahepatic cholangiocarcinoma is the second most common primary hepatic malignancy and poses a therapeutic challenge owing to its late-stage presentation and treatment-resistant outcomes. Most patients are diagnosed with locally advanced, unresectable disease and are treated with a combination of systemic and local regional therapies. Transarterial radioembolization offers a survival benefit and a favorable side effect profile, with a growing body of evidence to support its use. Herein, we review patient selection and detail outcomes of radioembolization for intrahepatic cholangiocarcinoma, together with mention of competing treatments.
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Affiliation(s)
- Joseph Ray Ness
- Division of Diagnostic Radiology, Department of Radiology, Loyola University Medical Center, Maywood, Illinois
| | - Christopher Molvar
- Division of Diagnostic Radiology, Department of Radiology, Loyola University Medical Center, Maywood, Illinois
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9
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Wang S, Liu X, Zhao J, Liu Y, Liu S, Liu Y, Zhao J. Computer auxiliary diagnosis technique of detecting cholangiocarcinoma based on medical imaging: A review. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021; 208:106265. [PMID: 34311415 DOI: 10.1016/j.cmpb.2021.106265] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 06/28/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND AND OBJECTIVES Cholangiocarcinoma (CCA) is one of the most aggressive human malignant tumors and is becoming one of the main factors of death and disability globally. Specifically, 60% to 70% of CCA patients were diagnosed with local invasion or distant metastasis and lost the chance of radical operation. The overall median survival time was less than 12 months. As a non-invasive diagnostic technology, medical imaging consisting of computed tomography (CT) imaging, magnetic resonance imaging (MRI), and ultrasound (US) imaging, is the most effectively and commonly used method to detect CCA. The computer auxiliary diagnosis (CAD) system based on medical imaging is helpful for rapid diagnosis and provides credible "second opinion" for specialists. The purpose of this review is to categorize and review the CAD technique of detecting CCA based on medical imaging. METHODS This work applies a four-level screening process to choose suitable publications. 125 research papers published in different academic research databases were selected and analyzed according to specific criteria. From the five steps of medical image acquisition, processing, analysis, understanding and verification of CAD combined with artificial intelligence algorithms, we obtain the most advanced insights related to CCA detection. RESULTS This work provides a comprehensive analysis and comparison analysis of the current CAD systems of detecting CCA. After careful investigation, we find that the main detection methods are traditional machine learning method and deep learning method. For the detection, the most commonly used method is semi-automatic segmentation algorithm combined with support vector machine classifier method, combination of which has good detection performance. The end-to-end training mode makes deep learning method more and more popular in CAD systems. However, due to the limited medical training data, the accuracy of deep learning method is unsatisfactory. CONCLUSIONS Based on analysis of artificial intelligence methods applied in CCA, this work is expected to be truly applied in clinical practice in the future to improve the level of clinical diagnosis and treatment of it. This work concludes by providing a prediction of future trends, which will be of great significance for researchers in the medical imaging of CCA and artificial intelligence.
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Affiliation(s)
- Shiyu Wang
- School of Electronic and Electric Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Xiang Liu
- School of Electronic and Electric Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
| | - Jingwen Zhao
- School of Electronic and Electric Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Yiwen Liu
- School of Electronic and Electric Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Shuhong Liu
- Department of Pathology and Hepatology, The Fifth Medical Centre of Chinese PLA General Hospital, Beijing 100039, China
| | - Yisi Liu
- Department of Pathology and Hepatology, The Fifth Medical Centre of Chinese PLA General Hospital, Beijing 100039, China
| | - Jingmin Zhao
- Department of Pathology and Hepatology, The Fifth Medical Centre of Chinese PLA General Hospital, Beijing 100039, China.
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