Complexity of brain tumors

Tumor growth is a complex process characterized by uncontrolled cell proliferation and invasion of neighboring tissues. The understanding of these phenomena is of vital importance to establish the appropriate diagnosis and therapeutic strategies and starts with the evaluation of their complex morphology with suitable descriptors, such as those produced by scaling analysis. In the present work, scaling analysis is used for the extraction of dynamic parameters that characterize tumor growth processes in brain tumors. The emphasis in the analysis is on the assessment of general properties of tumor growth, such as the Family–Vicsek ansatz, which includes a great variety of ballistic growth models. Results indicate in a definitive way that gliomas strictly behave as it is proposed by the ansatz, while benign tumors behave quite differently. As a complementary view, complex visibility networks derived from the tumor interface support these results and its use is introduced as a possible descriptor in the understanding of tumor growth dynamics. © 2019 Elsevier B.V.

• Autores: Martín-Landrove, M.; Torres Hoyos, Francisco José; Rueda-Toicen, A.
• Tipo de recurso: Article of journal
• Fecha de publicación: 2023
• Institución: Universidad Cooperativa de Colombia
• Repositorio: Repositorio UCC
• OAI Identifier: oai:repository.ucc.edu.co:20.500.12494/51038
• Acceso en línea: https://doi.org/10.1016/j.physa.2019.122696; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072576366&doi=10.1016%2fj.physa.2019.122696&partnerID=40&md5=1a4b7bc9fe59d825fd23e2b9642dd28d; https://hdl.handle.net/20.500.12494/51038
• Palabra clave: COMPLEX NETWORKS; MULTIFRACTAL SYSTEMS; SCALING ANALYSIS
• Rights: openAccess
• License: http://purl.org/coar/access_right/c_abf2