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Morphological and fractal properties of meningioma growth

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  • Roblero, Jorge
  • Martín-Landrove, Miguel

Abstract

Morphological and fractal properties of the tumor interface serve as key descriptors of tumor growth dynamics. For meningiomas, previous studies have highlighted growth patterns that diverge from the proliferative-invasive model typically associated with malignant brain tumors, such as gliomas. In this work, two distinct approaches are employed to investigate the scale-dependent properties of meningioma growth. Initially, longitudinal volume data sets for meningiomas are analyzed, employing an allometric growth model to distinctly differentiate between asymptomatic and anaplastic (petroclival) meningiomas. Secondly, a scaling analysis of tumor interfaces extracted from contrast-enhanced MRI established a clear distinction among tumor grades. This analysis not only confirmed previous findings regarding tumor growth dynamics but also revealed significant morphological and scaling properties essential for characterizing tumor grades.

Suggested Citation

  • Roblero, Jorge & Martín-Landrove, Miguel, 2025. "Morphological and fractal properties of meningioma growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 677(C).
  • Handle: RePEc:eee:phsmap:v:677:y:2025:i:c:s0378437125005515
    DOI: 10.1016/j.physa.2025.130899
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    References listed on IDEAS

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    1. Yun Chen & Hui Yang, 2016. "Numerical simulation and pattern characterization of nonlinear spatiotemporal dynamics on fractal surfaces for the whole-heart modeling applications," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(8), pages 1-16, August.
    2. Geoffrey B. West & James H. Brown & Brian J. Enquist, 1997. "A General Model for the Origin of Allometric Scaling Laws in Biology," Working Papers 97-03-019, Santa Fe Institute.
    3. Torres Hoyos, F. & Martín-Landrove, M., 2012. "3-D in vivo brain tumor geometry study by scaling analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1195-1206.
    4. Geoffrey B. West & James H. Brown & Brian J. Enquist, 2001. "A general model for ontogenetic growth," Nature, Nature, vol. 413(6856), pages 628-631, October.
    5. Martín-Landrove, Miguel & Torres-Hoyos, Francisco & Rueda-Toicen, Antonio, 2020. "Complexity of brain tumors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
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