Literature DB >> 27171020

Dynamic Contrast-enhanced MR Imaging of Advanced Hepatocellular Carcinoma: Comparison with the Liver Parenchyma and Correlation with the Survival of Patients Receiving Systemic Therapy.

Bang-Bin Chen1, Chao-Yu Hsu1, Chih-Wei Yu1, Po-Chin Liang1, Chiun Hsu1, Chih-Hung Hsu1, Ann-Lii Cheng1, Tiffany Ting-Fang Shih1.   

Abstract

Purpose To retrospectively compare the perfusion parameters of advanced hepatocellular carcinoma (HCC) measured with dynamic contrast material-enhanced (DCE) magnetic resonance (MR) imaging with surrounding liver parenchyma to determine the relationship between these parameters and uncensored overall survival (OS). Materials and Methods This retrospective study had institutional review board approval, and informed consent was waived. DCE MR imaging was performed in 92 patients with advanced HCC before systemic treatment was administered (19 patients received a placebo). Three semiquantitative (peak, slope, and area under the gadolinium concentration-time curve [AUC]) and six quantitative (arterial fraction, arterial flow, portal flow, total blood flow, distribution volume, and mean transit time) parameters were calculated by placing regions of interest in the largest area of the tumor and background liver parenchyma. The DCE MR imaging parameters between the tumor and normal liver were compared with paired Wilcoxon test. By using the Cox proportional hazards model for univariate and multivariate analyses, the association of DCE MR imaging parameters and OS was investigated. Results HCC demonstrated significantly higher peak, slope, AUC, arterial fraction, and arterial flow but lower portal flow, distribution volume, and mean transit time than did the background liver (all P < .05). Patients with high peak in the tumor had longer OS (P = .005) than did those with low peak. Cox multivariate analysis identified peak as an independent predictor of OS (P = .032) after adjusting for age, sex, treatment, tumor size, and portal vein thrombosis. Conclusion DCE MR imaging parameters can be used to differentiate advanced HCC from the background liver, and peak, a semiquantitative parameter, is associated with outcome in patients with advanced HCC before systemic therapy. © RSNA, 2016 An earlier incorrect version of this article appeared online. This article was corrected on July 22, 2016.

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Year:  2016        PMID: 27171020     DOI: 10.1148/radiol.2016152659

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  10 in total

1.  Imaging biomarkers from multiparametric magnetic resonance imaging are associated with survival outcomes in patients with brain metastases from breast cancer.

Authors:  Bang-Bin Chen; Yen-Shen Lu; Chih-Wei Yu; Ching-Hung Lin; Tom Wei-Wu Chen; Shwu-Yuan Wei; Ann-Lii Cheng; Tiffany Ting-Fang Shih
Journal:  Eur Radiol       Date:  2018-05-16       Impact factor: 5.315

Review 2.  Joint Consensus Statement of the Indian National Association for Study of the Liver and Indian Radiological and Imaging Association for the Diagnosis and Imaging of Hepatocellular Carcinoma Incorporating Liver Imaging Reporting and Data System.

Authors:  Sonal Krishan; Radha K Dhiman; Navin Kalra; Raju Sharma; Sanjay S Baijal; Anil Arora; Ajay Gulati; Anu Eapan; Ashish Verma; Shyam Keshava; Amar Mukund; S Deva; Ravi Chaudhary; Karthick Ganesan; Sunil Taneja; Ujjwal Gorsi; Shivanand Gamanagatti; Kumble S Madhusudan; Pankaj Puri; Shallini Govil; Manav Wadhavan; Sanjiv Saigal; Ashish Kumar; Shallini Thapar; Ajay Duseja; Neeraj Saraf; Anubhav Khandelwal; Sumit Mukhopadyay; Ajay Gulati; Nitin Shetty; Nipun Verma
Journal:  J Clin Exp Hepatol       Date:  2019-08-06

3.  A Multicenter Phase II Study of Second-Line Axitinib for Patients with Advanced Hepatocellular Carcinoma Failing First-Line Sorafenib Monotherapy.

Authors:  Zhong-Zhe Lin; Bang-Bin Chen; Yi-Ping Hung; Po-Hsiang Huang; Ying-Chun Shen; Yu-Yun Shao; Chih-Hung Hsu; Ann-Lii Cheng; Rheun-Chuan Lee; Yee Chao; Chiun Hsu
Journal:  Oncologist       Date:  2020-04-09

Review 4.  Topics on quantitative liver magnetic resonance imaging.

Authors:  Yì Xiáng J Wáng; Xiaoqi Wang; Peng Wu; Yajie Wang; Weibo Chen; Huijun Chen; Jianqi Li
Journal:  Quant Imaging Med Surg       Date:  2019-11

5.  Early perfusion changes within 1 week of systemic treatment measured by dynamic contrast-enhanced MRI may predict survival in patients with advanced hepatocellular carcinoma.

Authors:  Bang-Bin Chen; Chao-Yu Hsu; Chih-Wei Yu; Po-Chin Liang; Chiun Hsu; Chih-Hung Hsu; Ann-Lii Cheng; Tiffany Ting-Fang Shih
Journal:  Eur Radiol       Date:  2016-12-12       Impact factor: 5.315

6.  Multiparametric PET/MR imaging biomarkers are associated with overall survival in patients with pancreatic cancer.

Authors:  Bang-Bin Chen; Yu-Wen Tien; Ming-Chu Chang; Mei-Fang Cheng; Yu-Ting Chang; Shih-Hung Yang; Chih-Horng Wu; Ting-Chun Kuo; I-Lun Shih; Ruoh-Fang Yen; Tiffany Ting-Fang Shih
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-02-23       Impact factor: 9.236

Review 7.  Clinical Advancements in the Targeted Therapies against Liver Fibrosis.

Authors:  Ruchi Bansal; Beata Nagórniewicz; Jai Prakash
Journal:  Mediators Inflamm       Date:  2016-11-24       Impact factor: 4.711

8.  A prospective clinical trial on sorafenib treatment of hepatocellular carcinoma before liver transplantation.

Authors:  Malin Sternby Eilard; Mats Andersson; Peter Naredi; Charalampos Geronymakis; Per Lindnér; Christian Cahlin; William Bennet; Magnus Rizell
Journal:  BMC Cancer       Date:  2019-06-11       Impact factor: 4.430

Review 9.  Current Imaging Diagnosis of Hepatocellular Carcinoma.

Authors:  Evangelos Chartampilas; Vasileios Rafailidis; Vivian Georgopoulou; Georgios Kalarakis; Adam Hatzidakis; Panos Prassopoulos
Journal:  Cancers (Basel)       Date:  2022-08-18       Impact factor: 6.575

Review 10.  Recent advances in non-invasive magnetic resonance imaging assessment of hepatocellular carcinoma.

Authors:  Davide Ippolito; Riccardo Inchingolo; Luigi Grazioli; Silvia Girolama Drago; Michele Nardella; Marco Gatti; Riccardo Faletti
Journal:  World J Gastroenterol       Date:  2018-06-21       Impact factor: 5.742

  10 in total

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