Share Email Print
cover

Proceedings Paper

Three-dimensional visualization and analysis of microvessels in prostate cancer
Author(s): Paul A. Kay; Richard A. Robb; David G. Bostwick; David A. Leske; Jon J. Camp
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A significant increase in diagnostic incidence of prostate cancer underscores the need to accurately stratify and quantify the cancers to facilitate appropriate therapy. Currently, there is no reliable method to preoperatively predict pathological stage and thus malignant potential of prostate cancer. Tumor volume and microvessel density have been shown postoperatively to be accurate predictors of cancer metastatic potential. 3D visualization and analysis of image volumes produced from series of immunocytochemically stained pathological sections may improve our understanding of the relationships of the tumor to angiogenesis, i.e., to the microvessel density of the tumor. Sequential thinly sliced (approximately 7 microns) pathological sections of the prostate will be differentially stained with fluorescent antibodies to clotting factor VIII- related antigen, which labels the endothelial cells of the vessels, facilitating automated color separation for visualization of the microvessels. Digitized images of the sections can be synthesized into 3D volumes and measured to quantify vessel quantity and density. Using 3D colorwash and transparency display techniques, anatomic and densitrometric relationships between the tumor and microvessels can be visualized. The microvessel density can be measured using image processing algorithms and compared to measurements made by pathologists. Advanced approaches to imaging the prostate in vivo include dynamic MRI techniques using contrast agents to accurately detect and quantify the region of prostate cancer. The cancerous region can be correlated with histologic specimens using the same methods described for measurement of microvessel density. This detailed information could lead to improved methods to properly stratify patients with diagnosed prostate cancer.

Paper Details

Date Published: 24 May 1995
PDF: 6 pages
Proc. SPIE 2433, Medical Imaging 1995: Physiology and Function from Multidimensional Images, (24 May 1995); doi: 10.1117/12.209681
Show Author Affiliations
Paul A. Kay, Mayo Clinic and Foundation (United States)
Richard A. Robb, Mayo Clinic and Foundation (United States)
David G. Bostwick, Mayo Clinic and Foundation (United States)
David A. Leske, Mayo Clinic and Foundation (United States)
Jon J. Camp, Mayo Clinic and Foundation (United States)


Published in SPIE Proceedings Vol. 2433:
Medical Imaging 1995: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

© SPIE. Terms of Use
Back to Top