↓ Skip to main content

Investigation of Optical Coherence Microelastography as a Method to Visualize Cancers in Human Breast Tissue

Overview of attention for article published in Cancer Research, August 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
patent
4 patents

Readers on

mendeley
59 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.
Article details
Title
Investigation of Optical Coherence Microelastography as a Method to Visualize Cancers in Human Breast Tissue
Published in
Cancer Research, August 2015
DOI 10.1158/0008-5472.can-14-3694
Pubmed ID
Authors
Abstract

Accurate intraoperative identification of malignant tissue is a challenge in the surgical management of breast cancer. Imaging techniques that help address this challenge could contribute to more complete and accurate tumor excision, and thereby help reduce the current high re-excision rates without resorting to the removal of excess healthy tissue. Optical coherence micro-elastography (OCME) is a three-dimensional, high-resolution imaging technique that is sensitive to micro-scale variations of the mechanical properties of tissue. As tumor modifies the mechanical properties of breast tissue, OCME has the potential to identify, on the micro-scale, involved regions of fresh, unstained tissue. OCME is based on the use of optical coherence tomography (OCT) to measure tissue deformation in response to applied mechanical compression. In this feasibility study on 58 ex vivo samples from patients undergoing mastectomy or wide local excision, we demonstrate the performance of OCME as a means to visualize tissue microarchitecture in benign and malignant human breast tissues. Through comparison with corresponding histology and OCT images, OCME is shown to enable ready visualization of features such as ducts, lobules, micro-cysts, blood vessels and arterioles, and to identify invasive tumor through distinctive patterns in OCME images, often with enhanced contrast compared to OCT. These results lay the foundation for future intraoperative studies.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 20 34%
Student > Master 8 14%
Student > Doctoral Student 4 7%
Researcher 4 7%
Other 3 5%
Other 9 15%
Unknown 11 19%
Readers by discipline
Readers by discipline Count As %
Engineering 19 32%
Physics and Astronomy 11 19%
Agricultural and Biological Sciences 5 8%
Medicine and Dentistry 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 7 12%
Unknown 10 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 24 February 2026.
All research outputs
#4,611,381
of 34,350,842 outputs
Outputs from Cancer Research
#5,572
of 35,807 outputs
Outputs of similar age
#45,624
of 301,206 outputs
Outputs of similar age from Cancer Research
#56
of 488 outputs
Altmetric has tracked 34,350,842 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 35,807 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done well, scoring higher than 83% 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 301,206 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 84% of its contemporaries.
We're also able to compare this research output to 488 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.