Literature DB >> 32803165

Assessment of Hepatocellular Carcinoma Response to 90Y Radioembolization Using Dynamic Contrast Material-enhanced MRI and Intravoxel Incoherent Motion Diffusion-weighted Imaging.

Stefanie J Hectors1, Sara Lewis1, Paul Kennedy1, Octavia Bane1, Daniela Said1, Maxwell Segall1, Myron Schwartz1, Edward Kim1, Bachir Taouli1.   

Abstract

Purpose: To quantify diffusion and perfusion changes in hepatocellular carcinoma (HCC) induced by yttrium 90 (90Y) radioembolization and to assess the value of dynamic contrast material-enhanced (DCE) MRI and intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) for predicting HCC response. Materials and
Methods: Institutional review board approval was obtained for this prospective study (clinical trial registry NCT01871545). Twenty-four participants with HCC (mean age, 69 years ± 9 [standard deviation], 18 men) underwent multiparametric MRI, including IVIM DWI and gadoxetic acid DCE MRI before (n = 24) and 6 weeks (n = 21) after radioembolization. IVIM DWI and DCE MRI histogram parameters were quantified in HCCs and liver parenchyma. HCC response was assessed by using modified Response Evaluation Criteria in Solid Tumors at 6 weeks and 6-12 months after radioembolization. Logistic regression analysis was used to evaluate the diagnostic performance of baseline MRI and clinical parameters for prediction of response.
Results: Twenty-five HCCs were analyzed (mean size, 3.6 cm ± 1.9). Radioembolization resulted in significantly decreased perfusion (DCE MRI arterial flow, P = .002; IVIM pseudodiffusion coefficient [D*], P = .014). Multivariate logistic regression selected combined serum α-fetoprotein and portal flow (F p ) skewness (area under the curve [AUC] = 0.924) and combined D* standard deviation and F p kurtosis (AUC = 0.916) for prediction of objective and complete response at 6 weeks, respectively. Standard deviation of DCE MRI parameter arterial fraction was selected as the optimal predictor for complete response at 6-12 months (AUC = 0.857).
Conclusion: Diffusion and perfusion MRI can be used to evaluate the response of HCC to radioembolization. Pretreatment DCE MRI histogram parameters may be useful for radioembolization treatment stratification. Supplemental material is available for this article. © RSNA, 2020. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID: 32803165      PMCID: PMC7398117          DOI: 10.1148/rycan.2020190094

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  42 in total

1.  Yttrium-90 radioembolization vs sorafenib for intermediate-locally advanced hepatocellular carcinoma: a cohort study with propensity score analysis.

Authors:  Annagiulia Gramenzi; Rita Golfieri; Cristina Mosconi; Alberta Cappelli; Alessandro Granito; Alessandro Cucchetti; Sara Marinelli; Cinzia Pettinato; Virginia Erroi; Silvia Fiumana; Luigi Bolondi; Mauro Bernardi; Franco Trevisani
Journal:  Liver Int       Date:  2014-05-20       Impact factor: 5.828

2.  IVIM improves preoperative assessment of microvascular invasion in HCC.

Authors:  Yi Wei; Zixing Huang; Hehan Tang; Liping Deng; Yuan Yuan; Jiaxing Li; Dongbo Wu; Xiaocheng Wei; Bin Song
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

3.  Improved intravoxel incoherent motion analysis of diffusion weighted imaging by data driven Bayesian modeling.

Authors:  Matthew R Orton; David J Collins; Dow-Mu Koh; Martin O Leach
Journal:  Magn Reson Med       Date:  2013-02-13       Impact factor: 4.668

Review 4.  Cost effectiveness of radioembolization compared with conventional transarterial chemoembolization for treatment of hepatocellular carcinoma.

Authors:  Nassir Rostambeigi; Adrienne S Dekarske; Erin E Austin; Jafar Golzarian; Erik N Cressman
Journal:  J Vasc Interv Radiol       Date:  2014-05-24       Impact factor: 3.464

5.  Radiation Segmentectomy versus TACE Combined with Microwave Ablation for Unresectable Solitary Hepatocellular Carcinoma Up to 3 cm: A Propensity Score Matching Study.

Authors:  Derek M Biederman; Joseph J Titano; Vivian L Bishay; Raisa J Durrani; Etan Dayan; Nora Tabori; Rahul S Patel; Francis S Nowakowski; Aaron M Fischman; Edward Kim
Journal:  Radiology       Date:  2016-12-07       Impact factor: 11.105

6.  Y90 Radioembolization Significantly Prolongs Time to Progression Compared With Chemoembolization in Patients With Hepatocellular Carcinoma.

Authors:  Riad Salem; Andrew C Gordon; Samdeep Mouli; Ryan Hickey; Joseph Kallini; Ahmed Gabr; Mary F Mulcahy; Talia Baker; Michael Abecassis; Frank H Miller; Vahid Yaghmai; Kent Sato; Kush Desai; Bartley Thornburg; Al B Benson; Alfred Rademaker; Daniel Ganger; Laura Kulik; Robert J Lewandowski
Journal:  Gastroenterology       Date:  2016-08-27       Impact factor: 22.682

7.  Diffusion-weighted imaging of the liver with multiple b values: effect of diffusion gradient polarity and breathing acquisition on image quality and intravoxel incoherent motion parameters--a pilot study.

Authors:  Hadrien A Dyvorne; Nicola Galea; Thomas Nevers; M Isabel Fiel; David Carpenter; Edmund Wong; Matthew Orton; Andre de Oliveira; Thorsten Feiweier; Marie-Louise Vachon; James S Babb; Bachir Taouli
Journal:  Radiology       Date:  2012-12-06       Impact factor: 11.105

Review 8.  Imaging of Hepatocellular Carcinoma Response After 90Y Radioembolization.

Authors:  Sahar Semaan; Jasnit Makkar; Sara Lewis; Manjil Chatterji; Edward Kim; Bachir Taouli
Journal:  AJR Am J Roentgenol       Date:  2017-11       Impact factor: 3.959

Review 9.  Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients.

Authors:  Victoria Chernyak; Kathryn J Fowler; Aya Kamaya; Ania Z Kielar; Khaled M Elsayes; Mustafa R Bashir; Yuko Kono; Richard K Do; Donald G Mitchell; Amit G Singal; An Tang; Claude B Sirlin
Journal:  Radiology       Date:  2018-09-25       Impact factor: 11.105

10.  Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging.

Authors:  Stefanie J Hectors; Mathilde Wagner; Octavia Bane; Cecilia Besa; Sara Lewis; Romain Remark; Nelson Chen; M Isabel Fiel; Hongfa Zhu; Sacha Gnjatic; Miriam Merad; Yujin Hoshida; Bachir Taouli
Journal:  Sci Rep       Date:  2017-05-26       Impact factor: 4.996

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  5 in total

Review 1.  Treatment response assessment following transarterial radioembolization for hepatocellular carcinoma.

Authors:  Zersenay Alem; Timothy E Murray; Csilla Egri; John Chung; David Liu; Khaled M Elsayes; Silvia D Chang; Alison Harris
Journal:  Abdom Radiol (NY)       Date:  2021-04-28

2.  Dynamic contrast-enhanced MRI perfusion quantification in hepatocellular carcinoma: comparison of gadoxetate disodium and gadobenate dimeglumine.

Authors:  Daniel Stocker; Stefanie Hectors; Octavia Bane; Naik Vietti-Violi; Daniela Said; Paul Kennedy; Jordan Cuevas; Guilherme M Cunha; Claude B Sirlin; Kathryn J Fowler; Sara Lewis; Bachir Taouli
Journal:  Eur Radiol       Date:  2021-05-27       Impact factor: 5.315

Review 3.  Application of intravoxel incoherent motion diffusion-weighted imaging in hepatocellular carcinoma.

Authors:  Yi Zhou; Jing Zheng; Cui Yang; Juan Peng; Ning Liu; Lin Yang; Xiao-Ming Zhang
Journal:  World J Gastroenterol       Date:  2022-07-21       Impact factor: 5.374

4.  Simultaneous evaluation of perfusion and morphology using GRASP MRI in hepatic fibrosis.

Authors:  Jeong Hee Yoon; Jeong Min Lee; Mi Hye Yu; Bo Yun Hur; Robert Grimm; Steven Sourbron; Hersh Chandarana; Yohan Son; Susmita Basak; Kyoung-Bun Lee; Nam-Joon Yi; Kwang-Woong Lee; Kyung-Suk Suh
Journal:  Eur Radiol       Date:  2021-06-12       Impact factor: 5.315

5.  Preoperative histogram parameters of dynamic contrast-enhanced MRI as a potential imaging biomarker for assessing the expression of Ki-67 in prostate cancer.

Authors:  Yongsheng Zhang; Zhiping Li; Chen Gao; Jianliang Shen; Mingtao Chen; Yufeng Liu; Zhijian Cao; Peipei Pang; Feng Cui; Maosheng Xu
Journal:  Cancer Med       Date:  2021-06-12       Impact factor: 4.452

  5 in total

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