Literature DB >> 24302545

Diffusion and perfusion MRI prediction of progression-free survival in patients with hepatocellular carcinoma treated with concurrent chemoradiotherapy.

Kyung Ah Kim1, Mi-Suk Park, Hyun-Jun Ji, Jun Yong Park, Kwang-Hyub Han, Myeong-Jin Kim, Ki Whang Kim.   

Abstract

PURPOSE: To assess whether MR perfusion and diffusion parameters taken before concurrent chemoradiotherapy (CCRT) are useful imaging biomarkers for predicting progression-free survival (PFS) in patients with hepatocellular carcinoma (HCC).
MATERIALS AND METHODS: Twenty patients with locally advanced HCC who had no treatment before CCRT underwent dynamic contrast-enhanced (DCE) and diffusion-weighted MRI. Mean values of the volume transfer constant (K(trans) ), reflex constant (Kep ), extravascular extracellular volume fraction (Ve ) and the apparent diffusion coefficient (ADC) were estimated on a region of interest. The best cutoff value for each factor was assessed to differentiate between patients who had PFS shorter or longer than the median PFS. Patients were dichotomized in terms of the cutoff value. The survival outcome of the two groups and the predictive ability of each factor on PFS were evaluated.
RESULTS: Median time to PFS was 179 days. The best cutoff values for ADC, K(trans) , Kep , and Ve was 1.008 × 10(-3) mm(2) s(-1) , 0.108 min(-1) , 0.570 min(-1) , and 0.298%. Patients with higher ADC had significantly longer PFS than those with lower ADC(P < 0.0001).
CONCLUSION: The ADC of HCC acquired before CCRT correlated with PFS and was valuable in the prediction of the clinical outcome of HCC treated with CCRT.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  DCE MRI; apparent diffusion coefficient; concurrent chemoradiotherapy; diffusion-weighted image; hepatocellular carcinoma

Mesh:

Year:  2013        PMID: 24302545     DOI: 10.1002/jmri.24161

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  8 in total

Review 1.  Prognostication and response assessment in liver and pancreatic tumors: The new imaging.

Authors:  Riccardo De Robertis; Paolo Tinazzi Martini; Emanuele Demozzi; Gino Puntel; Silvia Ortolani; Sara Cingarlini; Andrea Ruzzenente; Alfredo Guglielmi; Giampaolo Tortora; Claudio Bassi; Paolo Pederzoli; Mirko D'Onofrio
Journal:  World J Gastroenterol       Date:  2015-06-14       Impact factor: 5.742

2.  Demonstration of DCE-MRI as an early pharmacodynamic biomarker of response to VEGF Trap in glioblastoma.

Authors:  Allison F O'Neill; Lei Qin; Patrick Y Wen; John F de Groot; Annick D Van den Abbeele; Jeffrey T Yap
Journal:  J Neurooncol       Date:  2016-08-30       Impact factor: 4.130

Review 3.  MR Imaging Biomarkers in Oncology Clinical Trials.

Authors:  Richard G Abramson; Lori R Arlinghaus; Adrienne N Dula; C Chad Quarles; Ashley M Stokes; Jared A Weis; Jennifer G Whisenant; Eduard Y Chekmenev; Igor Zhukov; Jason M Williams; Thomas E Yankeelov
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

4.  Novel Imaging Diagnosis for Hepatocellular Carcinoma: Consensus from the 5th Asia-Pacific Primary Liver Cancer Expert Meeting (APPLE 2014).

Authors:  Bang-Bin Chen; Takamichi Murakami; Tiffany Ting-Fang Shih; Michiie Sakamoto; Osamu Matsui; Byung-Ihn Choi; Myeong-Jin Kim; Jeong Min Lee; Ren-Jie Yang; Meng-Su Zeng; Ran-Chou Chen; Ja-Der Liang
Journal:  Liver Cancer       Date:  2015-10-15       Impact factor: 11.740

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.  Multimodal Molecular Imaging Detects Early Responses to Immune Checkpoint Blockade.

Authors:  Yu Saida; Jeffrey R Brender; Kazutoshi Yamamoto; James B Mitchell; Murali C Krishna; Shun Kishimoto
Journal:  Cancer Res       Date:  2021-04-09       Impact factor: 13.312

Review 7.  Quantitative magnetic resonance imaging for focal liver lesions: bridging the gap between research and clinical practice.

Authors:  Roberto Cannella; Riccardo Sartoris; Jules Grégory; Lorenzo Garzelli; Valérie Vilgrain; Maxime Ronot; Marco Dioguardi Burgio
Journal:  Br J Radiol       Date:  2021-05-14       Impact factor: 3.629

8.  Predictive values of diffusion-weighted imaging and perfusion-weighted imaging in evaluating the efficacy of transcatheter arterial chemoembolization for hepatocellular carcinoma.

Authors:  Min Lin; Man-Man Tian; Wei-Ping Zhang; Li Xu; Ping Jin
Journal:  Onco Targets Ther       Date:  2016-11-14       Impact factor: 4.147

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.