Linked Life Data

10792968

Source:http://linkedlifedata.com/resource/pubmed/id/10792968

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2000-7-24
pubmed:abstractText
Tumor growth is angiogenesis dependent. As a consequence, strategies aimed at disrupting this mechanism are heavily investigated. Several angiogenesis assays are used to directly compare the efficacy of anti-angiogenic compounds. However, objective assessment of new vascular growth has been difficult to achieve. The aim of this study was to test and develop a computer-assisted image analysis method that would give an unbiased quantification of the microvessel density. Human tumors were grown in athymic mice and tumor biopsies were taken after a weeklong treatment with VEGF-toxin conjugate. Frozen tumor sections were prepared and stained with PE-conjugated anti-CD-31 antibodies and vessels were imaged with a fluorescence microscope. Vessel density was analyzed by quantifying PE-positive pixels per recorded field. In addition, images were further processed to investigate morphological differences by an automated binarization and skeletonization protocol. This procedure allowed the computer-assisted estimation of important angiogenic parameters such as total vessel number, length, and branch points. Based on these indices, differences in the angiogenic response between control tumors and those treated with VEGF-toxin conjugate were readily detected (P < 0.007 for all parameters). More importantly, computer-generated measurements correlated well with manual microvessel counts and showed significantly less variation. Our results suggest that computer-assisted image analysis represents a rapid, objective, and alternative method for the quantitative assessment of tumor angiogenesis and vessel architecture.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0026-2862
pubmed:author
pubmed:copyrightInfo
Copyright 2000 Academic Press.
pubmed:issnType
Print
pubmed:volume
59
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
368-76
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed-meshheading:10792968-Adenocarcinoma, pubmed-meshheading:10792968-Animals, pubmed-meshheading:10792968-Antigens, CD31, pubmed-meshheading:10792968-Colonic Neoplasms, pubmed-meshheading:10792968-Diphtheria Toxin, pubmed-meshheading:10792968-Drug Screening Assays, Antitumor, pubmed-meshheading:10792968-Endothelial Growth Factors, pubmed-meshheading:10792968-Female, pubmed-meshheading:10792968-Fluorescent Dyes, pubmed-meshheading:10792968-Frozen Sections, pubmed-meshheading:10792968-Humans, pubmed-meshheading:10792968-Image Processing, Computer-Assisted, pubmed-meshheading:10792968-Lymphokines, pubmed-meshheading:10792968-Mice, pubmed-meshheading:10792968-Mice, Nude, pubmed-meshheading:10792968-Microscopy, Fluorescence, pubmed-meshheading:10792968-Neoplasm Transplantation, pubmed-meshheading:10792968-Neovascularization, Pathologic, pubmed-meshheading:10792968-Phycoerythrin, pubmed-meshheading:10792968-Transplantation, Heterologous, pubmed-meshheading:10792968-Vascular Endothelial Growth Factor A, pubmed-meshheading:10792968-Vascular Endothelial Growth Factors
pubmed:year
2000
pubmed:articleTitle
Quantitative assessment of angiogenesis and tumor vessel architecture by computer-assisted digital image analysis: effects of VEGF-toxin conjugate on tumor microvessel density.
pubmed:affiliation
Department of Pharmacology, University of Minnesota Medical School, Minneapolis, Minnesota 55455, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't