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Optimization of Dual-Labeled Antibodies for Targeted Intraoperative Imaging of Tumors

Overview of attention for article published in Molecular Imaging, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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1 X user
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2 patents

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22 Mendeley
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Article details
Title
Optimization of Dual-Labeled Antibodies for Targeted Intraoperative Imaging of Tumors
Published in
Molecular Imaging, July 2015
DOI 10.2310/7290.2015.00015
Pubmed ID
Authors
Abstract

AbstractFor intraoperative imaging, antibodies labeled with both a radionuclide and a fluorophore may be used to tag the tumor lesion with a radiolabel and a fluorescent signal at high tumor to background ratios. However, labeling antibodies with fluorescent moieties may affect the in vivo behavior of the antibody depending on the dye to antibody substitution ratio. To investigate the optimal substitution ratio for use in dual-modality image-guided surgery, we conjugated three different antibodies, MN-14 (anti-CEACAM5), girentuximab (anti-CAIX), and cetuximab (anti-EGFR), with both diethylene triamine pentaacetic acid (DTPA, for labeling with 111In) and IRdye 800CW at dye to antibody ratios of 0, 1, 1.5, 2, and 3 and assessed in vivo behavior. Biodistribution studies showed that at high dye to antibody ratios, liver uptake of the dual-labeled antibodies increased, whereas tumor uptake decreased. Conversely, very low ratios may not be optimal either because in that case, only a few antibody molecules will be dual-labeled (i.e., contain both a DTPA and an IRDye 800CW moiety), which may complicate interpretation of dual-modality data. The present study shows that, provided that the chelator to antibody ratio is high enough, a dye to antibody ratio in the range of 1 to 1.5 is optimal for antibody-targeted dual-modality imaging applications. However, the optimal configuration is antibody dependent and should be determined for each dual-labeled antibody individually.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 45%
Other 2 9%
Student > Master 2 9%
Researcher 2 9%
Student > Bachelor 1 5%
Other 0 0%
Unknown 5 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 4 18%
Chemistry 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Chemical Engineering 1 5%
Other 2 9%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 20 October 2026.
All research outputs
#7,552,990
of 34,782,165 outputs
Outputs from Molecular Imaging
#70
of 327 outputs
Outputs of similar age
#71,706
of 303,618 outputs
Outputs of similar age from Molecular Imaging
#2
of 7 outputs
Altmetric has tracked 34,782,165 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 327 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 303,618 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.