2006 Fiscal Year Final Research Report Summary
Five dimensional analysis of tumor-induced angiogenesis using CT perfusion imaging_with numerical simulation of fluid dynamics of contrast medium
| Project/Area Number |
17390325
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | University of Tsukuba |
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Principal Investigator |
MINAMI Manabu University of Tsukuba, Graduate School of Comprehensive Human Sciences, Advanced Biomedical Applications, Professor, 大学院人間総合科学研究科, 教授 (10174096)
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| Co-Investigator(Kenkyū-buntansha) |
UEDA Takuya University of Tsukuba, Graduate School of Comprehensive Human Sciences, Advanced Biomedical Applications, Lecturer, 大学院人間総合科学研究科, 講師 (16790721)
SUITO Hiroshi Okayama University, Department of Environmental and Mathematical Sciences, Division of Mathematics for Environmental Studies, Associate Professor., 大学院自然科学研究科, 助教授 (10302530)
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| Project Period (FY) |
2005 – 2006
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| Keywords | CT perfusions study / Tumor-induced angiogenesis / Numerical simulation |
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| Research Abstract |
Objectives
To establish functional computed tomography (CT) imaging as a method for assessing tumor-induced angiogenesis.
Materials and Methods
Functional CT imaging was performed for 14 renal cell carcinomas with a 4-channel multidetector-row CT system. Functional CT imaging was mathematically analyzed by means of two-compartmental modeling of contrast medium using a computational discretization approach. The model incorporated diffusible kinetics of contrast medium including leakage from the capillary to the extravascular compartment and buck-flux from the extravascular 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 tumor-induced angiogenesis [microvessel density (MVD) and vascular endothelial growth factor (VEGF)] were statistically analyzed.
Results
The modeling of contrast enhancement was successfully performed, showing similarity between the mathematically-simulated solution 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, 0.005) by Pearson's correlations coefficient. Conclusion
Functional CT imaging may be a useful tool toward the assessment of tumor-induced angiogenesis
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