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Relationships between mammographic density, tissue microvessel density, and breast biopsy diagnosis

Overview of attention for article published in Breast Cancer Research, August 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Relationships between mammographic density, tissue microvessel density, and breast biopsy diagnosis
Published in
Breast Cancer Research, August 2016
DOI 10.1186/s13058-016-0746-9
Pubmed ID
Authors

Ashley S. Felix, Petra Lenz, Ruth M. Pfeiffer, Stephen M. Hewitt, Jennifer Morris, Deesha A. Patel, Berta Geller, Pamela M. Vacek, Donald L. Weaver, Rachael E. Chicoine, John Shepherd, Amir Pasha Mahmoudzadeh, Jeff Wang, Bo Fan, Serghei Malkov, Sally D. Herschorn, Jason M. Johnson, Renata L. Cora, Louise A. Brinton, Mark E. Sherman, Gretchen L. Gierach

Abstract

Women with high levels of mammographic density (MD) have a four- to six-fold increased risk of developing breast cancer; however, most neither have a prevalent tumor nor will they develop one. Magnetic resonance imaging (MRI) studies suggest that background parenchymal enhancement, an indicator of vascularity, is related to increased breast cancer risk. Correlations of microvessel density (MVD) in tissue, MD and biopsy diagnosis have not been defined, and we investigated these relationships among 218 women referred for biopsy. MVD was determined by counting CD31-positive vessels in whole sections of breast biopsies in three representative areas; average MVD was transformed to approximate normality. Using digital mammograms, we quantified MD volume with single X-ray absorptiometry. We used linear regression to evaluate associations between MVD and MD adjusted for age and body mass index (BMI) overall, and stratified by biopsy diagnosis: cases (in situ or invasive cancer, n = 44) versus non-cases (non-proliferative or proliferative benign breast disease, n = 174). Logistic regression adjusted for age, BMI, and MD was used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs) for associations between MVD and biopsy diagnosis. We also assessed whether the MVD-breast cancer association varied by MD. MVD and MD were not consistently associated. Higher MVD was significantly associated with higher odds of in situ/invasive disease (ORAdjusted = 1.69, 95 % CI = 1.17-2.44). MVD-breast cancer associations were strongest among women with greater non-dense volume. Increased MVD in tissues is associated with breast cancer, independently of MD, consistent with MRI findings suggestive of its possible value as a radiological cancer biomarker.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ghana 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Researcher 6 14%
Other 5 11%
Student > Postgraduate 3 7%
Student > Master 3 7%
Other 10 23%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 14 32%
Engineering 6 14%
Nursing and Health Professions 5 11%
Agricultural and Biological Sciences 3 7%
Computer Science 1 2%
Other 5 11%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2017.
All research outputs
#8,185,927
of 25,371,288 outputs
Outputs from Breast Cancer Research
#936
of 2,052 outputs
Outputs of similar age
#121,101
of 354,248 outputs
Outputs of similar age from Breast Cancer Research
#11
of 27 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,248 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.