Evidence map›Paper›PMID 36748004›Full record

ArticleArXiv2023

Minimally Invasive Live Tissue High-fidelity Thermophysical Modeling using Real-time Thermography.

Hamza El-Kebir, Junren Ran, Yongseok Lee, Leonardo P Chamorro, Martin Ostoja-Starzewski, Richard Berlin, Gabriela M Aguiluz Cornejo, Enrico Benedetti, Pier C Giulianotti, Joseph Bentsman

Open access · hybridAbstract readPreprint
In one paragraph

Article in ArXiv, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

0 citing papers in PubMed, 10 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Hamza El-KebirDept. of Aerospace Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA.
Junren RanDept. of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA.
Yongseok LeeDept. of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA.
Leonardo P ChamorroDept. of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA.
Martin Ostoja-StarzewskiDept. of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA.
Richard BerlinDepartment of Trauma Surgery, Carle Hospital and Department of Biomedical and Translational sciences, Carle Illinois College of Medicine, Urbana, IL 61801 USA.
Gabriela M Aguiluz CornejoDept. of Surgery, University of Illinois at Chicago, Chicago, IL 60612 USA.
Enrico BenedettiDept. of Surgery, University of Illinois at Chicago, Chicago, IL 60612 USA.
Pier C GiulianottiDept. of Surgery, University of Illinois at Chicago, Chicago, IL 60612 USA.
Joseph BentsmanDept. of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA.
University of Illinois Urbana-Champaign · USUniversity of Illinois Chicago · USCarle Foundation Hospital · US

Funding

CPS: Autonomous Attainment of Tissue-Centricity in Electrosurgery through Data-Driven Persistently Evolving Thermogeometric AdaptivityR01EB029766 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BENTSMAN, JOSEPH · 2019 to 2021
$1.0M
NIBIB NIH HHS R01 EB029766
6 · The paper itself

Abstract

We present a novel thermodynamic parameter estimation framework for energy-based surgery on live tissue, with direct applications to tissue characterization during electrosurgery. This framework addresses the problem of estimating tissue-specific thermodynamics in real-time, which would enable accurate prediction of thermal damage impact to the tissue and damage-conscious planning of electrosurgical procedures. Our approach provides basic thermodynamic information such as thermal diffusivity, and also allows for obtaining the thermal relaxation time and a model of the heat source, yielding in real-time a controlled hyperbolic thermodynamics model. The latter accounts for the finite thermal propagation time necessary for modeling of the electrosurgical action, in which the probe motion speed often surpasses the speed of thermal propagation in the tissue operated on. Our approach relies solely on thermographer feedback and a knowledge of the power level and position of the electrosurgical pencil, imposing only very minor adjustments to normal electrosurgery to obtain a high-fidelity model of the tissue-probe interaction. Our method is minimally invasive and can be performed

Indexed as

Biomedical infrared imagingreal-time model estimationthermographytissue thermodynamics

Identifiers

PMID36748004
PMCPMC9900965
OpenAlexW4312720876

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.