↓ Skip to main content

Breast cancer detection using sonography in women with mammographically dense breasts

Overview of attention for article published in BMC Medical Imaging, December 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
7 X users
facebook
2 Facebook pages

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
110 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Breast cancer detection using sonography in women with mammographically dense breasts
Published in
BMC Medical Imaging, December 2014
DOI 10.1186/s12880-014-0041-0
Pubmed ID
Authors

Jimmy Okello, Harriet Kisembo, Sam Bugeza, Moses Galukande

Abstract

BackgroundMammography, the gold standard for breast cancer screening misses some cancers, especially in women with dense breasts. Breast ultrasonography as a supplementary imaging tool for further evaluation of symptomatic women with mammographically dense breasts may improve the detection of mass lesions otherwise missed at mammography.ObjectiveTo determine the incremental breast cancer detection rate using US scanning in symptomatic women with mammographically dense breasts in a resource poor environment.MethodsA cross sectional descriptive study. Women referred for mammography underwent bilateral breast ultrasound, and mammography for symptom evaluation. The lesions seen by both modalities were described using sonographic BI-RADS lexicon and categorized. Ultrasound guided core biopsies were performed. IRB approval was obtained and all participants provided informed written consent.ResultsIn total 148 women with mammographically dense breasts were recruited over six months. The prevalence of breast cancer in symptomatic women with mammographically dense breasts was 22/148 (15%). Mammography detected 16/22 (73%) of these cases and missed 6/22 (27%). The six breast cancer cases missed were correctly diagnosed on breast ultrasonography. Sonographic features typical of breast malignancy were irregular shape, non-parallel orientation, non circumscribed margin, echogenic halo, and increased lesion vascularity (p values¿<¿0.005). Typical sonofeatures of benign mass lesions were: oval shape, parallel orientation and circumscribed margin (p values <0.005).ConclusionBreast ultrasound scan as a supplementary imaging tool detected 27% more malignant mass lesions otherwise missed by mammography among these symptomatic women with mammographically dense breasts. We recommend that ultra sound scanning in routine evaluation of symptomatic women with mammographically dense breasts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Ghana 1 <1%
Unknown 108 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 22%
Researcher 12 11%
Student > Postgraduate 10 9%
Student > Master 9 8%
Student > Ph. D. Student 7 6%
Other 19 17%
Unknown 29 26%
Readers by discipline Count As %
Medicine and Dentistry 39 35%
Nursing and Health Professions 16 15%
Engineering 8 7%
Biochemistry, Genetics and Molecular Biology 3 3%
Computer Science 2 2%
Other 11 10%
Unknown 31 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 February 2015.
All research outputs
#6,448,853
of 23,881,329 outputs
Outputs from BMC Medical Imaging
#73
of 604 outputs
Outputs of similar age
#84,645
of 357,882 outputs
Outputs of similar age from BMC Medical Imaging
#1
of 6 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 91% 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 357,882 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them