Evidence map›Paper›PMID 36290467›Full record

ArticleBioengineering (Basel, Switzerland)2022

Real-Time Temperature Rise Estimation during Irreversible Electroporation Treatment through State-Space Modeling.

Sabrina N Campelo, Edward J Jacobs, Kenneth N Aycock, Rafael V Davalos

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Sabrina N CampeloVirginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Virginia Tech Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0001-6570-7427
Edward J JacobsVirginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Virginia Tech Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.
Kenneth N AycockVirginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Virginia Tech Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0003-3885-6798
Rafael V DavalosVirginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Virginia Tech Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0003-1503-9509
Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · US

Funding

Development and application of non-thermal high frequency IRE to treat hepatic tumorsR01CA240476 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI DAVALOS, RAFAEL VIDAL · 2020 to 2024
$2.2M
NCI NIH HHS R01 CA240476NIH HHS R01 CA24047
6 · The paper itself

Abstract

To evaluate the feasibility of real-time temperature monitoring during an electroporation-based therapy procedure, a data-driven state-space model was developed. Agar phantoms mimicking low conductivity (LC) and high conductivity (HC) tissues were tested under the influences of high (HV) and low (LV) applied voltages. Real-time changes in impedance, measured by Fourier Analysis SpecTroscopy (FAST) along with the known tissue conductivity and applied voltages, were used to train the model. A theoretical finite element model was used for external validation of the model, producing model fits of 95.8, 88.4, 90.7, and 93.7% at 4 mm and 93.2, 58.9, 90.0, and 90.1% at 10 mm for the HV-HC, LV-LC, HV-LC, and LV-HC groups, respectively. The proposed model suggests that real-time temperature monitoring may be achieved with good accuracy through the use of real-time impedance monitoring.

Indexed as

agar phantomblack-box modelingelectroporationH-FIREPFApulsed field ablationtemperature predictionthermal mitigation

Identifiers

PMID36290467
PMCPMC9598795
OpenAlexW4297147754

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.