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Investigation of optical coherence micro-elastography as a method to visualize micro-architecture in human axillary lymph nodes

Overview of attention for article published in BMC Cancer, November 2016
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Title
Investigation of optical coherence micro-elastography as a method to visualize micro-architecture in human axillary lymph nodes
Published in
BMC Cancer, November 2016
DOI 10.1186/s12885-016-2911-z
Pubmed ID
Authors

Kelsey M. Kennedy, Lixin Chin, Philip Wijesinghe, Robert A. McLaughlin, Bruce Latham, David D. Sampson, Christobel M. Saunders, Brendan F. Kennedy

Abstract

Evaluation of lymph node involvement is an important factor in detecting metastasis and deciding whether to perform axillary lymph node dissection (ALND) in breast cancer surgery. As ALND is associated with potentially severe long term morbidity, the accuracy of lymph node assessment is imperative in avoiding unnecessary ALND. The mechanical properties of malignant lymph nodes are often distinct from those of normal nodes. A method to image the micro-scale mechanical properties of lymph nodes could, thus, provide diagnostic information to aid in the assessment of lymph node involvement in metastatic cancer. In this study, we scan axillary lymph nodes, freshly excised from breast cancer patients, with optical coherence micro-elastography (OCME), a method of imaging micro-scale mechanical strain, to assess its potential for the intraoperative assessment of lymph node involvement. Twenty-six fresh, unstained lymph nodes were imaged from 15 patients undergoing mastectomy or breast-conserving surgery with axillary clearance. Lymph node specimens were bisected to allow imaging of the internal face of each node. Co-located OCME and optical coherence tomography (OCT) scans were taken of each sample, and the results compared to standard post-operative hematoxylin-and-eosin-stained histology. The optical backscattering signal provided by OCT alone may not provide reliable differentiation by inspection between benign and malignant lymphoid tissue. Alternatively, OCME highlights local changes in tissue strain that correspond to malignancy and are distinct from strain patterns in benign lymphoid tissue. The mechanical contrast provided by OCME complements the optical contrast provided by OCT and aids in the differentiation of malignant tumor from uninvolved lymphoid tissue. The combination of OCME and OCT images represents a promising method for the identification of malignant lymphoid tissue. This method shows potential to provide intraoperative assessment of lymph node involvement, thus, preventing unnecessary removal of uninvolved tissues and improving patient outcomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Ph. D. Student 8 29%
Student > Master 3 11%
Student > Postgraduate 2 7%
Other 1 4%
Other 3 11%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 7 25%
Engineering 5 18%
Social Sciences 2 7%
Nursing and Health Professions 2 7%
Physics and Astronomy 2 7%
Other 6 21%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 November 2016.
All research outputs
#18,482,034
of 22,901,818 outputs
Outputs from BMC Cancer
#5,447
of 8,330 outputs
Outputs of similar age
#237,036
of 313,012 outputs
Outputs of similar age from BMC Cancer
#64
of 111 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,330 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 313,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.