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Eur Radiol Exp. 2022 Apr 28;6(1):21. doi: 10.1186/s41747-022-00271-3.
BACKGROUND: Radiofrequency ablation (RFA) is a minimally invasive technique used for the treatment of neoplasms, with growing interest in the treatment of bone tumors. However, the lack of data regarding the size of the resulting ablation zones in the ARF of bone tumors makes prospective planning difficult, necessary for safe and effective treatment.
METHODS: Using retrospective computed tomography and magnetic resonance imaging data from patients treated with RFA of atypical cartilaginous tumors (ACT), bone, tumors, and final RFA electrode position were segmented at from medical images and used in finite element models to simulate RFA. Tissue parameters were optimized and boundary conditions were set to mimic the clinical scenario. The resulting ablation diameters from the postoperative images were then measured and compared with those from the simulations, and the error between them was calculated.
RESULTS: Seven cases had all the information required to create the finite element models. The resulting median error (in all three directions) was -1 mm, with interquartile ranges of -3 to 3 mm. Three-dimensional models showed that thermal damage is concentrated near the cortical wall in the first minutes and then spread more evenly.
CONCLUSIONS: Computer simulations can predict ablation diameters with acceptable accuracy and can therefore be used for patient planning. This could allow interventional radiologists to precisely define the time, electrode length and position needed to treat ACTs with RFA and make the necessary adjustments to ensure total tumor destruction while sparing as much healthy tissue as possible. .
PMID:35482168 | DOI: 10.1186/s41747-022-00271-3