Skip navigation
Use este identificador para citar ou linkar para este item: http://repositorio2.unb.br/jspui/handle/10482/44410
Arquivos associados a este item:
Não existem arquivos associados a este item.
Título: Mathematical models applied to thyroid cancer
Autor(es): Silva, Jairo Gomes da
Morais, Rafael Martins de
Silva, Izabel Cristina Rodrigues da
Mancera, Paulo Fernando de Arruda
Assunto: Tireoide - câncer
Equações diferenciais
Modelagem matemática
Data de publicação: 15-Fev-2019
Editora: Springer
Referência: SILVA, Jairo Gomes da et al. Mathematical models applied to thyroid cancer. Biophysical Reviews, v. 11, n.2, p. 183–189, abr. 2019. DOI https://doi.org/10.1007/s12551-019-00504-7. Disponível em: https://link.springer.com/article/10.1007/s12551-019-00504-7. Acesso em: 03 ago. 2022.
Abstract: Thyroid cancer is the most prevalent endocrine neoplasia in the world. The use of mathematical models on the development of tumors has yielded numerous results in this field and modeling with differential equations is present in many papers on cancer. In order to know the use of mathematical models with differential equations or similar in the study of thyroid cancer, studies since 2006 to date was reviewed. Systems with ordinary or partial differential equations were the means most frequently adopted by the authors. The models deal with tumor growth, effective half-life of radioiodine applied after thyroidectomy, the treatment with iodine-131, thyroid volume before thyroidectomy, and others. The variables usually employed in the models includes tumor volume, thyroid volume, amount of iodine, thyroglobulin and thyroxine hormone, radioiodine activity, and physical characteristics such as pressure, density, and displacement of the thyroid molecules. In conclusion, the mathematical models used so far with differential equations approach several aspects of thyroid cancer, including participation in methods of execution or follow-up of treatments. With the development of new models, an increase in the current understanding of the detection, evolution, and treatment of diseases is a step that should be considered.
Unidade Acadêmica: Faculdade UnB Ceilândia (FCE)
Curso de Farmácia (FCE-FAR)
DOI: https://doi.org/10.1007/s12551-019-00504-7
Versão da editora: https://link.springer.com/article/10.1007/s12551-019-00504-7
Aparece nas coleções:Artigos publicados em periódicos e afins

Mostrar registro completo do item Visualizar estatísticas



Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.