Literature DB >> 9680579

Invasive carcinomas and fibroadenomas of the breast: comparison of microvessel distributions--implications for imaging modalities.

K L Weind1, C F Maier, B K Rutt, M Moussa.   

Abstract

PURPOSE: To compare spatial patterns of blood vessels between invasive breast carcinomas and fibroadenomas to improve the diagnostic specificity of noninvasive vascular magnetic resonance imaging and color Doppler ultrasound.
MATERIALS AND METHODS: Nineteen invasive ductal carcinomas and 20 fibroadenomas from 39 patients were stained for factor VIII-related antigen. Vessels smaller than 40 microns were counted in x200 fields defined in peripheral and central areas of the tumor and in normal tissue adjacent to fibroadenomas. Significant differences in vessel density were determined with Student t tests and one-way analyses of variance. Distributions of vessels 40 microns or larger were qualitatively evaluated.
RESULTS: There were 9-105 vessels (mean, 31.4 vessels) smaller than 40 microns per x200 peripheral and 4-57 vessels (mean, 20.1 vessels) smaller than 40 microns per x200 central carcinoma field. There was no significant difference in vessel density between the two groups. Peripheral microvessel density was significantly higher (P < .01) than central microvessel density in 15 (79%) of the 19 carcinomas and in three (16%) of 19 fibroadenomas. (A Student t test could not be performed in one case of fibroadenoma; size permitted only one countable field according to the authors' criteria.) The 18 cases with normal tissue had 21-229 vessels (mean, 80.5 vessels) per field; in 16 (89%) of the 18 cases, these vessel counts were significantly higher (P < .01) than those in the fibroadenoma cases. Vessels 40 microns or larger were found mainly in the periphery of carcinomas and were more uniformly distributed in fibroadenomas.
CONCLUSION: Evaluation of the spatial distribution of vessels and the ability to resolve vessel sizes may add valuable information to the imaging-based diagnostic work-up of indeterminate solid breast lesions.

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Year:  1998        PMID: 9680579     DOI: 10.1148/radiology.208.2.9680579

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  17 in total

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Review 4.  Histopathological image analysis: a review.

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10.  Histopathological image analysis for centroblasts classification through dimensionality reduction approaches.

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