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Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography

Overview of attention for article published in Science Translational Medicine, June 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
27 news outlets
blogs
4 blogs
twitter
20 X users
patent
4 patents
facebook
4 Facebook pages
googleplus
22 Google+ users

Citations

dimensions_citation
266 Dimensions

Readers on

mendeley
205 Mendeley
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Title
Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography
Published in
Science Translational Medicine, June 2015
DOI 10.1126/scitranslmed.3010611
Pubmed ID
Authors

Carmen Kut, Kaisorn L Chaichana, Jiefeng Xi, Shaan M Raza, Xiaobu Ye, Elliot R McVeigh, Fausto J Rodriguez, Alfredo Quiñones-Hinojosa, Xingde Li

Abstract

More complete brain cancer resection can prolong survival and delay recurrence. However, it is challenging to distinguish cancer from noncancer tissues intraoperatively, especially at the transitional, infiltrative zones. This is especially critical in eloquent regions (for example, speech and motor areas). This study tested the feasibility of label-free, quantitative optical coherence tomography (OCT) for differentiating cancer from noncancer in human brain tissues. Fresh ex vivo human brain tissues were obtained from 32 patients with grade II to IV brain cancer and 5 patients with noncancer brain pathologies. On the basis of volumetric OCT imaging data, pathologically confirmed brain cancer tissues (both high- and low-grade) had significantly lower optical attenuation values at both cancer core and infiltrated zones when compared with noncancer white matter, and OCT achieved high sensitivity and specificity at an attenuation threshold of 5.5 mm(-1) for brain cancer patients. We also used this attenuation threshold to confirm the intraoperative feasibility of performing in vivo OCT-guided surgery using a murine model harboring human brain cancer. Our OCT system was capable of processing and displaying a color-coded optical property map in real time at a rate of 110 to 215 frames per second, or 1.2 to 2.4 s for an 8- to 16-mm(3) tissue volume, thus providing direct visual cues for cancer versus noncancer areas. Our study demonstrates the translational and practical potential of OCT in differentiating cancer from noncancer tissue. Its intraoperative use may facilitate safe and extensive resection of infiltrative brain cancers and consequently lead to improved outcomes when compared with current clinical standards.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
United States 1 <1%
Unknown 201 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 25%
Researcher 27 13%
Student > Master 18 9%
Student > Bachelor 18 9%
Other 17 8%
Other 42 20%
Unknown 32 16%
Readers by discipline Count As %
Engineering 64 31%
Medicine and Dentistry 32 16%
Agricultural and Biological Sciences 17 8%
Biochemistry, Genetics and Molecular Biology 13 6%
Physics and Astronomy 11 5%
Other 25 12%
Unknown 43 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 263. 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 22 November 2022.
All research outputs
#138,626
of 25,466,764 outputs
Outputs from Science Translational Medicine
#441
of 5,445 outputs
Outputs of similar age
#1,342
of 277,911 outputs
Outputs of similar age from Science Translational Medicine
#7
of 137 outputs
Altmetric has tracked 25,466,764 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 5,445 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.6. 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 277,911 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 137 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 95% of its contemporaries.