Analysis of the microvasculature and tissue type ratios in normal vs. benign and malignant breast tissue

Wendy A. Wells, Charles P. Daghlian, Tor D. Tosteson, Margaret R. Grove, Steven P. Poplack, Sandra Knowlton-Soho, Keith D. Paulsen

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

OBJECTIVE: To analyze the microvasculature and tissue type ratios in normal vs. benign and malignant breast tissue to establish a baseline for expected values against which future imaging studies can be bench-marked. STUDY DESIGN: Using computer-assisted techniques on immunostained breast tissue (normal [n = 28], fibrocystic [n = 37], fibroadenomas [n = 19], invasive carcinomas [n = 19]), values were obtained for microvessel density (MVD), mean vessel area (MVA), vessel orientation (shape) and epithelial:stromal ratio (E:S). Measurement reproducibility and the effects of fibroadenoma stromal hyalinization and fibrocystic disease severity were also tested. RESULTS: Value ranges for the 4 diagnostic groups were significantly different (P < .001). For invasive breast carcinomas, E:S and MVD were significantly higher (P < .001) but MVA was smaller as compared to that in fibroadenomas. Peripherally vs. centrally there was no significant difference in MVD, MVA or vessel shape in the neoplasms. Decreases in E:S and MVD correlated with fibroadenoma stromal hyalinization. Increases in E:S and MVA correlated with more severe fibrocystic disease. Correlation coefficients for measurement reproducibility were high across the diagnostic categories. CONCLUSION: This study established a specific, reproducible, computer-assisted technique and baseline of expected values for morphologic criteria in normal, benign and malignant breast tissue that may be used in the future to correlate new breast imaging responses with these underlying biologic properties.

Original languageEnglish
Pages (from-to)166-174
Number of pages9
JournalAnalytical and Quantitative Cytology and Histology
Volume26
Issue number3
StatePublished - Jun 2004

Keywords

  • Breast neoplasms
  • Computer-assisted
  • Immunohistochemistry
  • Reproducibility of results

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