Liver cancer: A geometric approach to fractals and scaling analysis

Francisco Torres-Hoyos; Fernando Hernández-Ortega; Rubén Baena-Navarro; Jhon Pinedo-López

doi:10.1016/j.apradiso.2023.111123

Liver cancer: A geometric approach to fractals and scaling analysis

Appl Radiat Isot. 2024 Feb:204:111123. doi: 10.1016/j.apradiso.2023.111123. Epub 2023 Nov 25.

Authors

Francisco Torres-Hoyos¹, Fernando Hernández-Ortega², Rubén Baena-Navarro³, Jhon Pinedo-López⁴

Affiliations

¹ Department of Physics, Faculty of Basic Sciences, Universidad de Córdoba, Montería, Colombia; Systems Engineering Program, Faculty of Engineering, Universidad Cooperativa de Colombia, Montería, Colombia. Electronic address: franciscotorreshoyos@gmail.com.
² Department of Physics, Faculty of Basic Sciences, Universidad de Córdoba, Montería, Colombia.
³ Department of Systems Engineering, Faculty of Engineering, Universidad de Córdoba, Montería, Colombia; Systems Engineering Program, Faculty of Engineering, Universidad Cooperativa de Colombia, Montería, Colombia.
⁴ Faculty of Administrative, Accounting and Related Sciences, Universidad Cooperativa de Colombia, Montería, Colombia.

PMID: 38113664
DOI: 10.1016/j.apradiso.2023.111123

Abstract

In the study of liver cancer, invasive techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) are used. In the present work, an in vivo 3D study will be carried out using MRI and CT images, using scaling dynamics, that is, calculating critical exponents of local roughness and fractal dimension. The results obtained for stages IA, IIA, and IIIA in liver cancer correspond to what was proposed by F. Family and T. Vicsek (1991).

Keywords: Cancer; Fractal; Liver; MRI; Scaling.

MeSH terms

Fractals*
Humans
Liver Neoplasms* / diagnostic imaging