AI Article Synopsis
- The study integrates a particle injection system with a magnetic resonance navigation (MRN) sequence to test its effectiveness in a phantom model for treating hepatocellular carcinoma (HCC).
- A theoretical model was used to determine the optimal size of magnetic drug-eluting bead aggregates (200 μm), which were injected into the phantom to analyze their distribution.
- Results showed a significant increase in the aggregate distribution ratios in various branch configurations after applying the MRN protocol, with success rates exceeding 92% in the first bifurcation throughout the experiments.
Article Abstract
This work combines a particle injection system with our proposed magnetic resonance navigation (MRN) sequence with the intention of validating MRN in a two-bifurcation phantom for endovascular treatment of hepatocellular carcinoma (HCC). A theoretical physical model used to calculate the most appropriate size of the magnetic drug-eluting bead (MDEB, 200 μm) aggregates was proposed. The aggregates were injected into the phantom by a dedicated particle injector while a trigger signal was automatically sent to the MRI to start MRN which consists of interleaved tracking and steering sequences. When the main branch of the phantom was parallel to B, the aggregate distribution ratio in the (left-left, left-right, right-left and right-right divisions was obtained with results of 8, 68, 24 and 0% respectively at baseline (no MRN) and increased to 84%, 100, 84 and 92% (p < 0.001, p = 0.004, p < 0.001, p < 0.001) after implementing our MRN protocol. When the main branch was perpendicular to B, the right-left branch, having the smallest baseline distribution rate of 0%, reached 80% (p < 0.001) after applying MRN. Moreover, the success rate of MRN was always more than 92% at the 1st bifurcation in the experiments above.
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