Evidence map›Paper›PMID 39310736›Full record

ArticleIFAC-PapersOnLine2021

Online Hypermodel-based Path Planning for Feedback Control of Tissue Denaturation in Electrosurgical Cutting.

Hamza El-Kebir, Yongseok Lee, Richard Berlin, Enrico Benedetti, Pier C Giulianotti, Leonardo P Chamorro, Joseph Bentsman

Abstract read
In one paragraph

Article in IFAC-PapersOnLine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Lodestar: An Integrated Embedded Real-Time Control Engine.Control Technology and Applications. Control Technology and Applications · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Infinite-Dimensional Adaptive Boundary Observer for Inner-Domain Temperature Estimation of 3D Electrosurgical Processes using Surface Thermography Sensing.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2022
    Article
  9. Article
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

7 authors.

Hamza El-KebirDepartment of Aerospace Engineering, University of Illinois, Urbana, IL 61801 USA.
Yongseok LeeDepartment of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801 USA.
Richard BerlinTrauma Surgery, Carle Hospital, Urbana, IL 61801 USA.
Enrico BenedettiDepartment of Surgery, UI Health, Chicago, IL 60612 USA.
Pier C GiulianottiDivision of Minimally Invasive, General & Robotic Surgery, University of Illinois at Chicago, Chicago, IL 60612 USA.
Leonardo P ChamorroDepartment of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801 USA.
Joseph BentsmanDepartment of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801 USA.

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

The first closed-loop control of electrosurgical power satisfying a specified tissue damage bound along the desired tissue dissection path is presented. The damage is represented by the 82 °C isotherm corresponding to the admissible tissue denaturation front position in relation to that of the cutting probe tip. The front location is assessed in real time through the infrared temperature readings of the 40 °C isotherm tightly related to the emerging denaturing patch size around the moving probe tip. A control-oriented denaturing hypermodel and its recasting into a form amenable for use in a moving-horizon locally linear model predictive control law are presented. The optimal control action is determined by solving a compound model predictive control problem that targets a number of active one-dimensional domains. This model is obtained from an offline trained nonlinear autoregressive model with exogenous input. To enforce the safety constraints, a supervisor system precedes the path planning control law. This system prevents excessive denaturation by excluding certain system moves, and determines system termination conditions. We experimentally demonstrate the system's performance in two different line-cutting tasks on ex vivo porcine tissue with a desired denaturation front.

Indexed as

autonomous robotic surgeryMedical robots and systemsmodel-based planning

Identifiers

PMID39310736
PMCPMC11415238

What OpenQuestion holds

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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.