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Modeling the positioning of single needle electrodes for the treatment of breast cancer in a clinical case

Overview of attention for article published in BioMedical Engineering OnLine, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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4 X users

Citations

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26 Dimensions

Readers on

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38 Mendeley
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Title
Modeling the positioning of single needle electrodes for the treatment of breast cancer in a clinical case
Published in
BioMedical Engineering OnLine, August 2015
DOI 10.1186/1475-925x-14-s3-s1
Pubmed ID
Authors

Agnese Denzi, Lidia Strigari, Franco Di Filippo, Claudio Botti, Simona Di Filippo, Letizia Perracchio, Mattia Ronchetti, Ruggero Cadossi, Micaela Liberti

Abstract

Breast cancer is the most common cancer in women worldwide and is the second most common cause of cancer death in women. Electrochemotherapy (ECT) used in early-phase clinical trials for the treatment of primary breast cancer resulted in a not complete tumor necrosis in most cases. The present study was undertaken to analyze the feasibility to use ECT to treat patients with histologically proven unifocal ductal breast cancer. In particular, results of ECT treatment in a clinical case are compared with the ones of a simplified 3D dosimetric model. This clinical study was conducted with the pulse generator Cliniporator Vitae (IGEA, Carpi, Italy). ECT procedures were performed according to ESOPE standard operating procedures. Five single needle electrodes were used with one positioned in the center of the tumor, and the other four distributed around the nodule. Histological images of the resected tumor are compared with the maps of the electric field obtained with a simplified 3D model in Comsol Multiphysics v 4.3. The results of the clinical case demonstrated a reduced efficacy of the ECT treatment described. The proposed simple numerical model of the breast tumor located in a low conductive tissue suggests that this is due to the reduced electric field induced inside the tumor with such 5 electrodes placement. However, where the electric field is predicted higher than the reversible electroporation threshold (E>400 V/cm), also the histological images confirm the necrosis of the target with a good agreement between the modeled and clinical results. The results suggest the dependence of the effectiveness of the treatment on the careful placement of the electrodes. A detailed planned procedure for the tumor analysis after the treatment is also needed in order to better correlate the single electrode positions and the histological images. Simulation models could be used to identify better electrodes configuration in planning the experimental protocol for ECT treatment of breast tumors.

X Demographics

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

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 6 16%
Student > Bachelor 5 13%
Student > Master 3 8%
Professor > Associate Professor 2 5%
Other 3 8%
Unknown 9 24%
Readers by discipline Count As %
Engineering 12 32%
Medicine and Dentistry 3 8%
Biochemistry, Genetics and Molecular Biology 3 8%
Mathematics 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 6 16%
Unknown 10 26%
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 14 March 2023.
All research outputs
#13,514,230
of 23,532,144 outputs
Outputs from BioMedical Engineering OnLine
#339
of 837 outputs
Outputs of similar age
#123,162
of 268,811 outputs
Outputs of similar age from BioMedical Engineering OnLine
#4
of 15 outputs
Altmetric has tracked 23,532,144 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 837 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 268,811 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 53% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.