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 journalArticle

5 Citations (Scopus)

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
Pages (from-to)213-221
Number of pages9
JournalRadiation Medicine - Medical Imaging and Radiation Oncology
Volume26
Issue number4
DOIs
Publication statusPublished - May 1 2008

Keywords

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

ASJC Scopus subject areas

  • Radiation
  • Radiology Nuclear Medicine and imaging
  • Oncology

Fingerprint Dive into the research topics of 'Functional computed tomography imaging of tumor-induced angiogenesis: Preliminary results of new tracer kinetic modeling using a computer discretization approach'. Together they form a unique fingerprint.

Cite this