Abstract
Percutaneous thermal ablation techniques represent viable alternatives and minimally-invasive treatment methods for renal tumors. For treating larger tumors, multiple overlapping ablations are imperative. Currently, there is limited software available that incorporates tissue shrinkage into planning for ablation therapy while predicting the lowest number of ablation zones with complete tumor coverage. In this work, a time-power-dependent model to automatically estimate the microwave heating-induced tissue shrinkage is presented. The ablation extent of two commercially available microwave ablation (MWA) systems is modeled as a mathematical function of time and power, too. These models were implemented in a planning software to simulate the process ofMWA more realistically and thus, enhance treatment planning. Seven clinical renal T1a, T1b and T2a tumors were tested with and without integrated models, and the proposed ablation plans of which were compared to manual plans of an experienced physician. In the case of built-in models, the software achieved improved planning proposals for all tumors in terms of zone number and total time of ablation.
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References
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A et al. Global Cancer Statistics 2020:GLOBOCANEstimates of Incidence and MortalityWorldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209–49.
Lopresto V, Pinto R, Lovisolo GA, Cavagnaro M. Changes in the dielectric properties of ex vivo bovine liver during microwave thermal ablation at 2.45 GHz. Phys Med Biol. 2012;57(8):2309–27.
Sommer CM, Sommer SA, Mokry T, Gockner T, Gnutzmann D, Bellemann N et al. Quantification of tissue shrinkage and dehydration caused by microwave ablation: experimental study in kidneys for the estimation of effective coagulation volume. J Vasc Interv Radiol. 2013;24(8):1241–8.
Rossmann C, Garrett-Mayer E, Rattay F, Haemmerich D. Dynamics of tissue shrinkage during ablative temperature exposures. Physiol Meas. 2014;35(1):55–67.
Franz AM, Mittmann BJ, Röser J, Schmidberger B, Meinke M, Pereira PL et al. An opensource tool for automated planning of overlapping ablation zones. Proc BVM (2020):328–34.
Farina L,Weiss N, Nissenbaum Y, Cavagnaro M, Lopresto V, Pinto R et al. Characterisation of tissue shrinkage during microwave thermal ablation. Int J Hyperthermia. 2014;30(7):419–28.
Liu D, Brace CL. Numerical simulation of microwave ablation incorporating tissue contraction based on thermal dose. Phys Med Biol. 2017;62(6):2070–86.
Lee J, Rhim H, Lee MW, Kang TW, Song KD, Lee JK. Direction of tissue contraction after microwave ablation: a comparative experimental study in ex vivo bovine liver. Korean J Radiol. 2022;23(1):42–51.
Brace CL, Diaz TA, Hinshaw JL, Lee FT. Tissue contraction caused by radiofrequency and microwave ablation: a laboratory study in liver and lung. J Vasc Interv Radiol. 2010;21(8):1280–6.
Habert P, Di Bisceglie M, Hak JF, Brige P, Chopinet S, Mancini J et al. Percutaneous lung and liver CT-guided ablation on swine model using microwave ablation to determine ablation size for clinical practice. Int J Hyperthermia. 2021;38(1):1140–8.
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© 2023 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Ahmed, A., Franz, A.M., Kauczor, HU., Pereira, P., Sommer, C.M. (2023). Planning of Spherical Volumes for Treating Renal Tumors by Thermal Ablation with Tissue Shrinkage Estimation. In: Deserno, T.M., Handels, H., Maier, A., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2023. BVM 2023. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-41657-7_14
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DOI: https://doi.org/10.1007/978-3-658-41657-7_14
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