  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 appropriate diagnosis and
therapeutic strategy and starts with the evaluation of their complexity 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.
