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Web-based tool for visualization of electric field distribution in deep-seated body structures and planning of electroporation-based treatments

Overview of attention for article published in BioMedical Engineering OnLine, August 2015
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Title
Web-based tool for visualization of electric field distribution in deep-seated body structures and planning of electroporation-based treatments
Published in
BioMedical Engineering OnLine, August 2015
DOI 10.1186/1475-925x-14-s3-s4
Pubmed ID
Authors

Marija Marčan, Denis Pavliha, Bor Kos, Tadeja Forjanič, Damijan Miklavčič

Abstract

Treatments based on electroporation are a new and promising approach to treating tumors, especially non-resectable ones. The success of the treatment is, however, heavily dependent on coverage of the entire tumor volume with a sufficiently high electric field. Ensuring complete coverage in the case of deep-seated tumors is not trivial and can in best way be ensured by patient-specific treatment planning. The basis of the treatment planning process consists of two complex tasks: medical image segmentation, and numerical modeling and optimization. In addition to previously developed segmentation algorithms for several tissues (human liver, hepatic vessels, bone tissue and canine brain) and the algorithms for numerical modeling and optimization of treatment parameters, we developed a web-based tool to facilitate the translation of the algorithms and their application in the clinic. The developed web-based tool automatically builds a 3D model of the target tissue from the medical images uploaded by the user and then uses this 3D model to optimize treatment parameters. The tool enables the user to validate the results of the automatic segmentation and make corrections if necessary before delivering the final treatment plan. Evaluation of the tool was performed by five independent experts from four different institutions. During the evaluation, we gathered data concerning user experience and measured performance times for different components of the tool. Both user reports and performance times show significant reduction in treatment-planning complexity and time-consumption from 1-2 days to a few hours. The presented web-based tool is intended to facilitate the treatment planning process and reduce the time needed for it. It is crucial for facilitating expansion of electroporation-based treatments in the clinic and ensuring reliable treatment for the patients. The additional value of the tool is the possibility of easy upgrade and integration of modules with new functionalities as they are developed.

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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 readers

Mendeley readers

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

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 29%
Student > Bachelor 8 14%
Researcher 7 12%
Student > Doctoral Student 5 8%
Professor 4 7%
Other 8 14%
Unknown 10 17%
Readers by discipline Count As %
Engineering 15 25%
Medicine and Dentistry 8 14%
Agricultural and Biological Sciences 5 8%
Biochemistry, Genetics and Molecular Biology 4 7%
Veterinary Science and Veterinary Medicine 3 5%
Other 8 14%
Unknown 16 27%
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 09 June 2016.
All research outputs
#18,462,696
of 22,876,619 outputs
Outputs from BioMedical Engineering OnLine
#565
of 823 outputs
Outputs of similar age
#193,042
of 267,556 outputs
Outputs of similar age from BioMedical Engineering OnLine
#10
of 14 outputs
Altmetric has tracked 22,876,619 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 823 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 15th percentile – i.e., 15% 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 267,556 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.