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Breast vibro-acoustography: initial experience in benign lesions

Overview of attention for article published in BMC Medical Imaging, December 2014
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Title
Breast vibro-acoustography: initial experience in benign lesions
Published in
BMC Medical Imaging, December 2014
DOI 10.1186/s12880-014-0040-1
Pubmed ID
Authors

Azra Alizad, Mohammad Mehrmohammadi, Karthik Ghosh, Katrina N Glazebrook, Rickey E Carter, Leman Gunbery Karaberkmez, Dana H Whaley, Mostafa Fatemi

Abstract

BackgroundEvaluating the performance of vibro-acoustography (VA) in identifying benign lesions in the breast.MethodsAn integrated mammography-VA system designed for in vivo breast imaging was tested on a group of female volunteers, age¿¿¿18 years, with suspected breast lesions based on clinical examination. A set of VA scans was acquired after each corresponding mammography. Most lesions were classified as benign based on their histological results. However, in 4 cases, initial diagnosis based on clinical imaging determined that the lesions were cysts. These cysts were aspirated with needle aspiration and disappeared completely under direct ultrasound visualization. Therefore, no biopsies were performed on these cases and lesions were classified as benign based on clinical findings per clinical standards. To define the VA characteristics of benign breast masses, we adopted the features that are normally attributed to such masses in mammography. In a blinded assessment, three radiologists evaluated the VA images independently. The diagnostic accuracy of VA for detection of benign lesions was assessed by comparing the reviewers¿ evaluations with clinical data.ResultsOut of a total 29 benign lesions in the group, the reviewers were able to locate all lesions on VA images and mammography, 100% with (95% confidence interval (CI): 88% to 100%). Two reviewers were also able to correctly classify 83% (95% CI: 65% to 92%), and the third reviewer 86% (95% CI: 65% to 95%) of lesions, as benign on VA images and 86% (95% CI: 69% to 95%) on mammography.ConclusionsThe results suggest that the mammographic characteristics of benign lesion may also be used to identify such lesions in VA. Furthermore, the results show the ability of VA to detect benign breast abnormalities with a performance comparable to mammography. Therefore, the VA technology has the potential to be utilized as a complementary tool for breast imaging applications. Additional studies are needed to compare the capabilities of VA and traditional ultrasound imaging.

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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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Student > Master 2 13%
Student > Postgraduate 2 13%
Other 1 7%
Professor 1 7%
Other 3 20%
Unknown 3 20%
Readers by discipline Count As %
Engineering 5 33%
Medicine and Dentistry 4 27%
Nursing and Health Professions 1 7%
Unspecified 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 February 2015.
All research outputs
#13,566,023
of 23,881,329 outputs
Outputs from BMC Medical Imaging
#136
of 604 outputs
Outputs of similar age
#170,463
of 357,882 outputs
Outputs of similar age from BMC Medical Imaging
#3
of 6 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 79% 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 gotten more attention than average, scoring higher than 51% 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 3 of them.