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dc.contributor.authorSingha S.en_US
dc.contributor.authorMelnik R.en_US
dc.date.accessioned2020-10-16T13:41:31Z
dc.date.available2020-10-16T13:41:31Z
dc.date.issued2020-03
dc.identifier.urihttp://hdl.handle.net/20.500.11824/1170
dc.description.abstractPercutaneous thermal ablation has proved to be an effective modality for treating both benign and malignant tumors in various tissues. Among these modalities, radiofrequency ablation (RFA) is the most promising and widely adopted approach that has been extensively studied in the past decades. Microwave ablation (MWA) is a newly emerging modality that is gaining rapid momentum due to its capability of inducing rapid heating and attaining larger ablation volumes, and its lesser susceptibility to the heat sink effects as compared to RFA. Although the goal of both these therapies is to attain cell death in the target tissue by virtue of heating above 50 oC, their underlying mechanism of action and principles greatly differs. Computational modelling is a powerful tool for studying the effect of electromagnetic interactions within the biological tissues and predicting the treatment outcomes during thermal ablative therapies. Such a priori estimation can assist the clinical practitioners during treatment planning with the goal of attaining successful tumor destruction and preservation of the surrounding healthy tissue and critical structures. This review provides current state-of- the-art developments and associated challenges in the computational modelling of thermal ablative techniques, viz., RFA and MWA, as well as touch upon several promising avenues in the modelling of laser ablation, nanoparticles assisted magnetic hyperthermia and non- invasive RFA. The application of RFA in pain relief has been extensively reviewed from modelling point of view. Additionally, future directions have also been provided to improve these models for their successful translation and integration into the hospital work flow.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.publisherNational Library of Medicineen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectMultiscale Modellingen_US
dc.subjectAI and Machine-Learning Algorithmsen_US
dc.subjectBlood Vesselsen_US
dc.subjectTissue Deformationen_US
dc.subjectBioheat Transferen_US
dc.subjectNerve Ablationen_US
dc.subjectNanoparticles-assisted Ablationsen_US
dc.subjectLaser Ablationen_US
dc.subjectRadiofrequency Ablationen_US
dc.subjectMicrowave Ablationen_US
dc.subjectMinimally Invasive Treatmenten_US
dc.subjectThermal Ablationen_US
dc.titleThermal ablation of biological tissues in disease treatment: A review of computational models and future directionsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeinfo:eu-repo/semantics/acceptedVersionen_US
dc.identifier.doi10.1080/15368378.2020.1741383
dc.relation.publisherversionhttps://pubmed.ncbi.nlm.nih.gov/32233691/en_US


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