Literature DB >> 25412868

Can volumetric ADC measurement help predict response to Y90 radioembolization in HCC?

Michael Vouche1, Riad Salem, Robert J Lewandowski, Frank H Miller.   

Abstract

AIM: To compare changes in RECIST, anatomical volume, mRECIST, and volumetric diffusion-weighted Imaging parameters (3D apparent diffusion coefficient (ADC) measurements), with pathological analysis of hepatocellular carcinoma (HCC) treated by (90)Yttrium radioembolization (Y90).
METHODS: 21 patients were treated by Y90 as a sole treatment modality for solitary, >2 cm HCC that underwent liver transplantation. MRI at baseline, 1 and 3 months post-Y90, and tumor pathological findings on explants were reviewed in all patients.
RESULTS: Compared to baseline (RECIST/volume: 3.6 cm/17.7 cm(3)), RECIST and volume were not modified after Y90 (1 month, p = 0.28/0.09 RECIST/tumor volume; 3 months, p = 0.28/0.54). In contrast, mRECIST (3.3-1.4 cm, p < 0.001), mean ADC (0.185-1.093 mm(2)/s × 10(-3), p = 0.04), and ADC standard deviation (STD) (0.041-0.201 mm(2)/s × 10(-3), p = 0.0496) changed as earlier as 1 month post-Y90. ADC STD % change was higher in ADC responding lesions than non-responding lesions at 1 month (p = 0.002) and 3 months (p = 0.008). All lesions exhibited necrosis on pathological analysis (11 partially viable, 10 complete pathological necrosis (CPN)) but no imaging criterion was able to predict CPN. mRECIST (±ADC) at 1 (κ ± ADC = 0.08/0.06) or 3 months (κ = -0.06/-0.06) were poor predictors of pathological response.
CONCLUSION: As soon as 1 month post-treatment, mRECIST and volumetric ADC performed better than traditional size RECIST or volumetric parameters in detecting imaging response to Y90; however, CPN cannot be predicted by any criteria. Improvements in methodologies to assess response and identification of better surrogates are awaited.

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Year:  2015        PMID: 25412868     DOI: 10.1007/s00261-014-0295-6

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  5 in total

Review 1.  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

2.  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

Review 3.  The Role of Diffusion-Weighted Imaging (DWI) in Locoregional Therapy Outcome Prediction and Response Assessment for Hepatocellular Carcinoma (HCC): The New Era of Functional Imaging Biomarkers.

Authors:  Johannes M Ludwig; Juan C Camacho; Nima Kokabi; Minzhi Xing; Hyun S Kim
Journal:  Diagnostics (Basel)       Date:  2015-11-30

4.  PET/MRI of Hepatic 90Y Microsphere Deposition Determines Individual Tumor Response.

Authors:  Kathryn J Fowler; Nichole M Maughan; Richard Laforest; Nael E Saad; Akash Sharma; Jeffrey Olsen; Christina K Speirs; Parag J Parikh
Journal:  Cardiovasc Intervent Radiol       Date:  2015-12-31       Impact factor: 2.740

5.  Baseline Apparent Diffusion Coefficient as a Predictor of Response to Liver-Directed Therapies in Hepatocellular Carcinoma.

Authors:  Andrew Niekamp; Reham Abdel-Wahab; Joshua Kuban; Bruno C Odisio; Armeen Mahvash; Manal M Hassan; Aliya Qayyum; Ahmed Kaseb; Rahul A Sheth
Journal:  J Clin Med       Date:  2018-04-14       Impact factor: 4.241

  5 in total

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