Published in:
Open Access
01-06-2016 | Clinical Investigation
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
Published in:
CardioVascular and Interventional Radiology
|
Issue 6/2016
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Abstract
Purpose
The purpose of our study is to determine if there is a relationship between dose deposition measured by PET/MRI and individual lesion response to yttrium-90 (90Y) microsphere radioembolization.
Materials and Methods
26 patients undergoing lobar treatment with 90Y microspheres underwent PET/MRI within 66 h of treatment and had follow-up imaging available. Adequate visualization of tumor was available in 24 patients, and contours were drawn on simultaneously acquired PET/MRI data. Dose volume histograms (DVHs) were extracted from dose maps, which were generated using a voxelized dose kernel. Similar contours to capture dimensional and volumetric change of tumors were drawn on follow-up imaging. Response was analyzed using both RECIST and volumetric RECIST (vRECIST) criteria.
Results
A total of 8 hepatocellular carcinoma (HCC), 4 neuroendocrine tumor (NET), 9 colorectal metastases (CRC) patients, and 3 patients with other metastatic disease met inclusion criteria. Average dose was useful in predicting response between responders and non-responders for all lesion types and for CRC lesions alone using both response criteria (p < 0.05). D70 (minimum dose to 70 % of volume) was also useful in predicting response when using vRECIST. No significant trend was seen in the other tumor types. For CRC lesions, an average dose of 29.8 Gy offered 76.9 % sensitivity and 75.9 % specificity for response.
Conclusions
PET/MRI of 90Y microsphere distribution showed significantly higher DVH values for responders than non-responders in patients with CRC. DVH analysis of 90Y microsphere distribution following treatment may be an important predictor of response and could be used to guide future adaptive therapy trials.