Literature DB >> 9493972

Assessment of vascularity in breast carcinoma by computer-assisted video analysis (CAVA) and its association with axillary lymph node status.

M J Edel1, P D Robbins, J M Papadimitriou, M F D'Antuono, J M Harvey, C A Mitchel, H J Dawkins.   

Abstract

Case-control methodology was used to evaluate the significance of vascularity in small breast carcinomas with regard to the presence or absence of axillary lymph node metastases. Vascularity was assessed in 32 axillary node positive primary breast tumours (LN+ve) less than 2 cm in size and compared with 56 control axillary node negative primary tumours (LN-ve), which were matched for histological type and grade and tumour size. This study design employed computer-assisted video analysis (CAVA) to assess the total blood vessel perimeter (BVP), total blood vessel area (BVA), and total blood vessel density (BVD) throughout a tissue section that encompassed an entire cross section of the tumour and its immediate periphery. The BVA and BVD in these tumours were not significantly different between LN+ve and LN-ve groups. The LN-ve carcinomas had, on average, a significantly (P<0.05) higher total BVP (3355 microm/mm2) than LN+ve tumours (2771 microm/mm2). 'Hot spot' areas were also independently assessed by two pathologists and the same areas measured by CAVA. A strong correlation (P<0.001) between the two methods of assessment of BVD of the neovascular 'hot spots' was found; however, no association with axillary lymph node metastasis was found using either method of assessment. In conclusion, vascularity assessed by either blood vessel density or blood vessel size in primary invasive breast cancers less than 2 cm in diameter showed no association with axillary lymph node metastasis; in fact a negative association was found with total BVP of whole tumour sections and BVD in 'hot spots' using CAVA. Further, this study has established a computer-assisted method of quantifying vascularity in solid neoplasms and is a positive step towards a standardised approach to this diverse and methodologically variable area.

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Year:  1998        PMID: 9493972     DOI: 10.1023/a:1005863931465

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  4 in total

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2.  Comparison of vascularity and angiogenesis in primary invasive mammary carcinomas and in their respective axillary lymph node metastases.

Authors:  M J Edel; J M Harvey; J M Papadimitriou
Journal:  Clin Exp Metastasis       Date:  2000       Impact factor: 5.150

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Authors:  M M Schuff; J P Gore; E A Nauman
Journal:  J Math Biol       Date:  2012-10-30       Impact factor: 2.259

4.  Mixture theory modeling for characterizing solute transport in breast tumor tissues.

Authors:  Sreyashi Chakraborty; Alican Ozkan; Marissa Nichole Rylander; Wendy A Woodward; Pavlos Vlachos
Journal:  J Biol Eng       Date:  2019-05-29       Impact factor: 4.355

  4 in total

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