Literature DB >> 31247250

Dynamic contrast-enhanced MRI to assess hepatocellular carcinoma response to Transarterial chemoembolization using LI-RADS criteria: A pilot study.

Alana Thibodeau-Antonacci1, Léonie Petitclerc1, Guillaume Gilbert2, Laurent Bilodeau3, Damien Olivié3, Milena Cerny1, Hélène Castel4, Simon Turcotte5, Catherine Huet3, Pierre Perreault3, Gilles Soulez3, Miguel Chagnon6, Samuel Kadoury7, An Tang8.   

Abstract

PURPOSE: To identify quantitative dynamic contrast-enhanced (DCE)-MRI perfusion parameters indicating tumor response of hepatocellular carcinoma (HCC) to transarterial chemoembolization (TACE).
MATERIALS AND METHODS: This prospective pilot study was approved by our institutional review board; written and informed consent was obtained for each participant. Patients underwent DCE-MRI examinations before and after TACE. A variable flip-angle unenhanced 3D mDixon sequence was performed for T1 mapping. A dynamic 4D mDixon sequence was performed after contrast injection for assessing dynamic signal enhancement. Nonparametric analysis was conducted on the time-intensity curves. Parametric analysis was performed on the time-concentration curves using a dual-input single-compartment model. Treatment response according to Liver Reporting and Data System (LI-RADS) v2018 was used as the reference standard. The comparisons within groups (before vs. after treatment) and between groups (nonviable vs. equivocal or viable tumor) were performed using nonparametric bootstrap taking into account the clustering effect of lesions in patients.
RESULTS: Twenty-eight patients with 52 HCCs (size: 10-104 mm) were evaluated. For nonviable tumors (n = 27), time to peak increased from 62.5 ± 18.2 s before to 83.3 ± 12.8 s after treatment (P< 0.01). For equivocal or viable tumors (n = 25), time to peak and mean transit time significantly increased (from 54.4 ± 24.1 s to 69.5 ± 18.9 s, P < 0.01 and from 14.2 ± 11.8 s to 33.9 ± 36.8 s, P= 0.01, respectively) and the transfer constant from the extracellular and extravascular space to the central vein significantly decreased from 14.8 ± 14.1 to 8.1 ± 9.1 s-1 after treatment (P= 0.01).
CONCLUSION: This prospective pilot DCE-MRI study showed that time to peak significantly changed after TACE treatment for both groups (nonviable tumors and equivocal or viable tumors). In our cohort, several perfusion parameters may provide an objective marker for differentiation of treatment response after TACE in HCC patients.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31247250     DOI: 10.1016/j.mri.2019.06.017

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  12 in total

Review 1.  LI-RADS: Future Directions.

Authors:  Victoria Chernyak; Claude B Sirlin
Journal:  Clin Liver Dis (Hoboken)       Date:  2021-04-13

2.  LI-RADS treatment response algorithm after first-line DEB-TACE: reproducibility and prognostic value at initial post-treatment CT/MRI.

Authors:  Ali Pirasteh; E Aleks Sorra; Hector Marquez; Robert C Sibley; Julia R Fielding; Abhinav Vij; Nicole E Rich; Ana Arroyo; Adam C Yopp; Gaurav Khatri; Amit G Singal; Takeshi Yokoo
Journal:  Abdom Radiol (NY)       Date:  2021-03-23

3.  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 4.  LI-RADS treatment response assessment of combination locoregional therapy for HCC.

Authors:  Marielia Gerena; Christopher Molvar; Mark Masciocchi; Sadhna Nandwana; Carl Sabottke; Bradley Spieler; Rishi Sharma; Leo Tsai; Ania Kielar
Journal:  Abdom Radiol (NY)       Date:  2021-06-13

5.  Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.

Authors:  Ahmad Maaref; Francisco Perdigon Romero; Emmanuel Montagnon; Milena Cerny; Bich Nguyen; Franck Vandenbroucke; Geneviève Soucy; Simon Turcotte; An Tang; Samuel Kadoury
Journal:  J Digit Imaging       Date:  2020-08       Impact factor: 4.056

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

Authors:  Stefanie J Hectors; Sara Lewis; Paul Kennedy; Octavia Bane; Daniela Said; Maxwell Segall; Myron Schwartz; Edward Kim; Bachir Taouli
Journal:  Radiol Imaging Cancer       Date:  2020-07-24

7.  Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma.

Authors:  Ying Zhao; Nan Wang; Jingjun Wu; Qinhe Zhang; Tao Lin; Yu Yao; Zhebin Chen; Man Wang; Liuji Sheng; Jinghong Liu; Qingwei Song; Feng Wang; Xiangbo An; Yan Guo; Xin Li; Tingfan Wu; Ai Lian Liu
Journal:  Front Oncol       Date:  2021-03-31       Impact factor: 6.244

8.  Correlation of radiomic features on dynamic contrast-enhanced magnetic resonance with microvessel density in hepatocellular carcinoma based on different models.

Authors:  Hongwei Liang; Chunhong Hu; Jian Lu; Tao Zhang; Jifeng Jiang; Ding Ding; Sheng Du; Shaofeng Duan
Journal:  J Int Med Res       Date:  2021-03       Impact factor: 1.671

9.  Performance of LI-RADS version 2018 CT treatment response algorithm in tumor response evaluation and survival prediction of patients with single hepatocellular carcinoma after radiofrequency ablation.

Authors:  Yun Zhang; Jinju Wang; Hui Li; Tianying Zheng; Hanyu Jiang; Mou Li; Bin Song
Journal:  Ann Transl Med       Date:  2020-03

10.  Prediction of post transarterial chemoembolization MR images of hepatocellular carcinoma using spatio-temporal graph convolutional networks.

Authors:  Andrei Svecic; Rihab Mansour; An Tang; Samuel Kadoury
Journal:  PLoS One       Date:  2021-12-07       Impact factor: 3.240

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