Evidence map›Paper›PMID 20376194›Full record

ArticleNumerical methods for partial differential equations2007

Dynamic Data-Driven Finite Element Models for Laser Treatment of Cancer.

J T Oden, K R Diller, C Bajaj, J C Browne, J Hazle, I Babuška, J Bass, L Biduat, L Demkowicz, A Elliott and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Numerical methods for partial differential equations, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.2field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Computational statistics · 2016
    Article
  6. Interstitial ultrasound ablation of vertebral and paraspinal tumours: parametric and patient-specific simulations.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2014
    Article
  7. Article
  8. Model-based planning and real-time predictive control for laser-induced thermal therapy.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2011
    Review
  9. Article
  10. Article
  11. Article
  12. Optimization and real-time control for laser treatment of heterogeneous soft tissues.Computer methods in applied mechanics and engineering · 2009
    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

16 authors at 3 institutions in 1 country.

J T OdenInstitute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA.
K R Diller
C Bajaj
J C Browne
J Hazle
I Babuška
J Bass
L Biduat
L Demkowicz
A Elliott
Y Feng
D Fuentes
S Prudhomme
M N Rylander
R J Stafford
Y Zhang
The University of Texas at Austin · USThe University of Texas MD Anderson Cancer Center · USVirginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · US

Funding

VISUALIZATION TOOLS FOR AUTOMATED MOLECULAR MICROSCOPYP41RR008605 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCAMMON, JAMES ANDREW · 1994 to 2011
$28.1M
ZERNIKE PHASE PLATE CRYOEM IN OKAZAKIP41RR002250 · NCRR · UNIVERSITY OF ARIZONA · PI JOACHIMIAK, ANDRZEJ · 1985 to 2011
$22.1M
A New Approach to Rapid Protein-Protein DockingR01GM073087 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BAJAJ, CHANDRAJIT L · 2006 to 2008
$1.3M
Software Maintenance for Biomolecular ComplexesR01EB004873 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI BAJAJ, CHANDRAJIT L · 2007 to 2010
$1.2M
Hierarchical Methods for Large BioMolecular ComplexesR01GM074258 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI BAJAJ, CHANDRAJIT L · 2005 to 2010
$778k
NCRR NIH HHS P41 RR002250NCRR NIH HHS P41 RR008605NIBIB NIH HHS R01 EB004873NIGMS NIH HHS R01 GM073087NIGMS NIH HHS R01 GM074258
6 · The paper itself

Abstract

Elevating the temperature of cancerous cells is known to increase their susceptibility to subsequent radiation or chemotherapy treatments, and in the case in which a tumor exists as a well-defined region, higher intensity heat sources may be used to ablate the tissue. These facts are the basis for hyperthermia based cancer treatments. Of the many available modalities for delivering the heat source, the application of a laser heat source under the guidance of real-time treatment data has the potential to provide unprecedented control over the outcome of the treatment process [7, 18]. The goals of this work are to provide a precise mathematical framework for the real-time finite element solution of the problems of calibration, optimal heat source control, and goal-oriented error estimation applied to the equations of bioheat transfer and demonstrate that current finite element technology, parallel computer architecture, data transfer infrastructure, and thermal imaging modalities are capable of inducing a precise computer controlled temperature field within the biological domain.

Identifiers

PMID20376194
PMCPMC2850081
OpenAlexW2070427082

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.