Correlation of microvascular fractal dimension with positron emission tomography [11C]-methionine uptake in glioblastoma multiforme

Preliminary findings

Antonio Di Ieva*, Fabio Grizzi, Manfred Tschabitscher, Piergiuseppe Colombo, Massimiliano Casali, Matteo Simonelli, Georg Widhalm, Pier Carlo Muzzio, Christian Matula, Arturo Chiti, Riccardo Rodriguez y Baena

*Corresponding author for this work

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Neuroradiological and metabolic imaging is a fundamental diagnostic procedure in the assessment of patients with primary and metastatic brain tumors. The correlation between objective parameters capable of quantifying the neoplastic angioarchitecture and imaging data may improve our understanding of the underlying physiopathology and make it possible to evaluate treatment efficacy in brain tumors. Only a few studies have so far correlated the quantitative parameters measuring the neovascularity of brain tumors with the metabolic profiles measured by means of amino acid uptake in positron emission tomography (PET) scans. Fractal geometry offers new mathematical tools for the description and quantification of complex anatomical systems, including microvascularity.In this study, we evaluated the microvascular network complexity of six cases of human glioblastoma multiforme quantifying the surface fractal dimension on CD34 immunostained specimens. The microvascular fractal dimension was estimated by applying the box-counting algorithm. As the fractal dimension depends on the density, size and shape of the vessels, and their distribution pattern, we defined it as an index of the whole complexity of microvascular architecture and compared it with the uptake of 11C-methionine (MET) assessed by PET.The different fractal dimension values observed showed that the same histological category of brain tumor had different microvascular network architectures. Fractal dimension ranged between 1.19 and 1.77 (mean: 1.415±0.225), and the uptake of 11C-methionine ranged between 1.30 and 5.30. A statistically significant direct correlation between the microvascular fractal dimension and the uptake of 11C-methionine (p=0.02) was found.Our preliminary findings indicate that that vascularity (estimated on the histologic specimens by means of the fractal dimension) and 11C-methionine uptake (assessed by PET) closely correlate in glioblastoma multiforme and that microvascular fractal dimension can be a useful parameter to objectively describe and quantify the geometrical complexity of the microangioarchitecture in glioblastoma multiforme.

Original languageEnglish
Pages (from-to)267-273
Number of pages7
JournalMicrovascular Research
Volume80
Issue number2
DOIs
Publication statusPublished - Sep 2010
Externally publishedYes

Keywords

  • [C]-methionine
  • Angiogenesis
  • Box-counting algorithm
  • Brain tumor
  • Fractal dimension
  • Glioblastoma multiforme
  • Microvascular network
  • PET

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