Zonal image analysis of tumour vascular perfusion, hypoxia, and necrosis.
A number of laboratories are utilising both hypoxia and perfusion markers to spatially quantify tumour oxygenation and vascular distributions, and scientists are increasingly turning to automated image analysis methods to quantify such interrelationships. In these studies, the presence of regions of necrosis in the immunohistochemical sections remains a potentially significant source of error. In the present work, frozen MCa-4 mammary tumour sections were used to obtain a series of corresponding image montages. Total vessels were identified using CD31 staining, perfused vessels by DiOC(7) staining, hypoxia by EF5/Cy3 uptake, and necrosis by haematoxylin and eosin staining. Our goal was to utilise image analysis techniques to spatially quantitate hypoxic marker binding as a function of distance from the nearest blood vessel. Several refinements to previous imaging methods are described: (1) hypoxia marker images are quantified in terms of their intensity levels, thus providing an analysis of the gradients in hypoxia with increasing distances from blood vessels, (2) zonal imaging masks are derived, which permit spatial sampling of images at precisely defined distances from blood vessels, as well as the omission of necrotic artifacts, (3) thresholding techniques are applied to omit holes in the tissue sections, and (4) distance mapping is utilised to define vascular spacing.
Fenton
B M
BM
Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, NY 14642, USA. bruce.fenton@rochester.edu
Paoni
S F
SF
Beauchamp
B K
BK
Ding
I
I
D000818:Animals; D015687:Cell Hypoxia / Q000502:physiology*; D005260:Female; D008325:Mammary Neoplasms, Experimental / Q000098:blood supply* / Q000473:pathology / Q000503:physiopathology; D051379:Mice; D009336:Necrosis; D009389:Neovascularization, Pathologic / Q000503:physiopathology*; D014407:Tumor Cells, Cultured