Evidence map›Paper›PMID 32594347›Full record

ArticleLasers in medical science2021

Thermal field and tissue damage analysis of moving laser in cancer thermal therapy.

Ali Kabiri, Mohammad Reza Talaee

Abstract read
PubMed Publisher
In one paragraph

Article in Lasers in medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  4. Brain-Mimicking Phantom for Photoablation and Visualization.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2023
    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

2 authors at 1 institution in 1 country.

Ali KabiriSchool of Railway Engineering, Iran University of Science and Technology, Tehran, Iran.
Mohammad Reza TalaeeSchool of Railway Engineering, Iran University of Science and Technology, Tehran, Iran. mrtalaee@iust.ac.ir.ORCID http://orcid.org/0000-0003-4885-1835
Iran University of Science and Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a closed-form analytical solution of hyperbolic Pennes bioheat equation is obtained for spatial evolution of temperature distributions during moving laser thermotherapy of the skin and kidney tissues. The three-dimensional cubic homogeneous perfused biological tissue is adopted as a media and the Gaussian distributed function in surface and exponentially distributed in depth is used for modeling of laser moving heat source. The solution procedure is Eigen value method which leads to a closed form solution. The effect of moving velocity, perfusion rate, laser intensity, absorption and scattering coefficients, and thermal relaxation time on temperature profiles and tissue thermal damage are investigated. Results are illustrated that the moving velocity and the perfusion rate of the tissues are the main important parameters in produced temperatures under moving heat source. The higher perfusion rate of kidney compared with skin may lead to lower induced temperature amplitude in moving path of laser due to the convective role of the perfusion term. Furthermore, the analytical solution can be a powerful tool for analysis and optimization of practical treatment in the clinical setting and laser procedure therapeutic applications and can be used for verification of other numerical heating models.

Indexed as

Hyperthermia, InducedLasersTemperatureHot TemperatureHumansKidneyNeoplasmsPerfusionSkinTime FactorsAnalytical solutionMoving heat sourcePennes equationThermal damageTissue laser treatment

Identifiers

PMID32594347
OpenAlexW3037044181

What OpenQuestion holds

Textmetadata
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.