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Volumetric breast density affects performance of digital screening mammography

Overview of attention for article published in Breast Cancer Research and Treatment, December 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 4,921)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
61 news outlets
policy
3 policy sources
twitter
8 X users
video
1 YouTube creator

Citations

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120 Dimensions

Readers on

mendeley
132 Mendeley
Title
Volumetric breast density affects performance of digital screening mammography
Published in
Breast Cancer Research and Treatment, December 2016
DOI 10.1007/s10549-016-4090-7
Pubmed ID
Authors

Johanna O. P. Wanders, Katharina Holland, Wouter B. Veldhuis, Ritse M. Mann, Ruud M. Pijnappel, Petra H. M. Peeters, Carla H. van Gils, Nico Karssemeijer

Abstract

To determine to what extent automatically measured volumetric mammographic density influences screening performance when using digital mammography (DM). We collected a consecutive series of 111,898 DM examinations (2003-2011) from one screening unit of the Dutch biennial screening program (age 50-75 years). Volumetric mammographic density was automatically assessed using Volpara. We determined screening performance measures for four density categories comparable to the American College of Radiology (ACR) breast density categories. Of all the examinations, 21.6% were categorized as density category 1 ('almost entirely fatty') and 41.5, 28.9, and 8.0% as category 2-4 ('extremely dense'), respectively. We identified 667 screen-detected and 234 interval cancers. Interval cancer rates were 0.7, 1.9, 2.9, and 4.4‰ and false positive rates were 11.2, 15.1, 18.2, and 23.8‰ for categories 1-4, respectively (both p-trend < 0.001). The screening sensitivity, calculated as the proportion of screen-detected among the total of screen-detected and interval tumors, was lower in higher density categories: 85.7, 77.6, 69.5, and 61.0% for categories 1-4, respectively (p-trend < 0.001). Volumetric mammographic density, automatically measured on digital mammograms, impacts screening performance measures along the same patterns as established with ACR breast density categories. Since measuring breast density fully automatically has much higher reproducibility than visual assessment, this automatic method could help with implementing density-based supplemental screening.

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X Demographics

The data shown below were collected from the profiles of 8 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 15%
Researcher 17 13%
Student > Master 14 11%
Student > Bachelor 11 8%
Student > Postgraduate 9 7%
Other 20 15%
Unknown 41 31%
Readers by discipline Count As %
Medicine and Dentistry 43 33%
Nursing and Health Professions 10 8%
Physics and Astronomy 8 6%
Engineering 5 4%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 18 14%
Unknown 45 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 488. 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 27 November 2023.
All research outputs
#51,978
of 24,880,704 outputs
Outputs from Breast Cancer Research and Treatment
#5
of 4,921 outputs
Outputs of similar age
#1,168
of 431,521 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#1
of 64 outputs
Altmetric has tracked 24,880,704 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,921 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 99% 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 431,521 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.