Functional computed tomography imaging of tumor-induced angiogenesis: Preliminary results of new tracer kinetic modeling using a computer discretization approach

  • Katsuhiko Kaneoya
  • , Takuya Ueda
  • , Hiroshi Suito
  • , Youhei Nanazawa
  • , Junichi Tamaru
  • , Kouichi Isobe
  • , Yukio Naya
  • , Toyofusa Tobe
  • , Ken Motoori
  • , Seiji Yamamoto
  • , Geoffrey D. Rubin
  • , Manabu Minami
  • , Hisao Ito

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Purpose. The aim of this study was to establish functional computed tomography (CT) imaging as a method for assessing tumor-induced angiogenesis. Materials and methods. Functional CT imaging was mathematically analyzed for 14 renal cell carcinomas by means of two-compartment modeling using a computer-discretization approach. The model incorporated diffusible kinetics of contrast medium including leakage from the capillary to the extravascular compartment and back-flux to the capillary compartment. The correlations between functional CT parameters [relative blood volume (rbv), permeability 1 (Pm1), and permeability 2 (Pm2)] and histopathological markers of angiogenesis [microvessel density (MVD) and vascular endothelial growth factor (VEGF)] were statistically analyzed. Results. The modeling was successfully performed, showing similarity between the mathematically simulated curve and the measured time-density curve. There were significant linear correlations between MVD grade and Pm1 (r = 0.841, P = 0.001) and between VEGF grade and Pm2 (r = 0.804, P = 0.005) by Pearson's correlation coefficient. Conclusion. This method may be a useful tool for the assessment of tumor-induced angiogenesis.

Original languageEnglish (US)
Pages (from-to)213-221
Number of pages9
JournalRadiation Medicine - Medical Imaging and Radiation Oncology
Volume26
Issue number4
DOIs
StatePublished - May 2008
Externally publishedYes

Keywords

  • CT perfusion
  • Functional CT imaging
  • Tumor-induced angiogenesis

ASJC Scopus subject areas

  • Radiation
  • Radiology Nuclear Medicine and imaging
  • Oncology

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