Literature DB >> 12533523

Computerized quantification of tissue vascularization using high-resolution slide scanning of whole tumor sections.

Christophe F Chantrain1, Yves A DeClerck, Susan Groshen, George McNamara.   

Abstract

Assessment of tissue vascularization using immunohistochemical techniques for microvessel detection has been limited by difficulties in generating reproducible quantitative data. The distinction of individual blood vessels and the selection of microscopic fields to be analyzed remain two factors of subjectivity. In this study, we used imaging analysis software and a high-resolution slide scanner for measurement of CD31-immunostained endothelial area (EA) in whole sections of human neuroblastoma xenograft and murine mammary adenocarcinoma tumors. Imaging analysis software provided objective criteria for analysis of sections of different tumors. The use of the criteria on images of entire tumor section acquired with the slide scanner constituted a rapid method to quantify tumor vascularization. Compared with previously described methods, the "hot spot" and the "random fields" methods, EA measurements obtained with our "whole section scanning" method were more reproducible with 8.6% interobserver disagreement for the "whole section scanning" method vs 42.2% and 39.0% interobserver disagreement for the "hot spot" method and the "random fields," respectively. Microvessel density was also measured with the whole section scanning method and provided additional data on the distribution and the size of the blood vessels. Therefore, this method constitutes a time efficient and reproducible method for quantification of tumor vascularization.

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Year:  2003        PMID: 12533523     DOI: 10.1177/002215540305100203

Source DB:  PubMed          Journal:  J Histochem Cytochem        ISSN: 0022-1554            Impact factor:   2.479


  16 in total

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10.  Anti-matrix metalloproteinase-9 DNAzyme decreases tumor growth in the MMTV-PyMT mouse model of breast cancer.

Authors:  Miranda A Hallett; Bin Teng; Hisashi Hasegawa; Luciana P Schwab; Tiffany N Seagroves; Tayebeh Pourmotabbed
Journal:  Breast Cancer Res       Date:  2013-02-13       Impact factor: 6.466

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