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Functional CT imaging of prostate cancer
Elizabeth Henderson1, Michael F Milosevic, Masoom A Haider
1Department of Radiation Physics, University Health Network-Princess Margaret Hospital, 610 University Avenue, Toronto, ON M5G 2M9, Canada. Elizabeth.Henderson@orcc.on.ca
Physics in Medicine and Biology
|October 8, 2003
Summary
Contrast-enhanced CT reveals elevated blood flow (F), permeability (PS), and volume (vb) in prostate cancer. However, precise measurement of other parameters requires further validation in complex models.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Prostate cancer diagnosis and staging rely on various clinical investigations.
- Understanding tumor microenvironment characteristics like blood flow is crucial for treatment planning.
Purpose of the Study:
- To investigate the distribution of blood flow (F), mean capillary transit time (Tc), capillary permeability (PS), and blood volume (vb) in prostate cancer.
- To generate functional maps of these parameters using contrast-enhanced CT and a tracer kinetic model.
- To compare functional map findings with standard clinical investigations.
Main Methods:
- Utilized contrast-enhanced computed tomography (CT) in nine patients with stage T2-T3 prostate cancer.
- Acquired time-series CT images post-contrast agent injection.
- Applied a distributed parameter tracer kinetic model (adiabatic approximation to tissue homogeneity model) to generate functional maps.
- Assessed map precision using covariance matrix analysis.
Main Results:
- Functional maps identified regions of increased blood flow (F), permeability (PS), and blood volume (vb) in eight patients.
- The locations of these increased parameters correlated with standard clinical findings.
- Precise measurement of parameters beyond blood flow was limited to regions with high F.
Conclusions:
- Contrast-enhanced CT functional imaging demonstrates elevated blood flow, permeability, and volume in prostate cancer.
- Complex tracer kinetic models require careful application in prostate cancer studies due to parameter precision limitations.
- Further research is needed to refine model parameters for comprehensive assessment.