Literature DB >> 16941099

Radio-frequency lesioning in brain tissue with coagulation-dependent thermal conductivity: modelling, simulation and analysis of parameter influence and interaction.

Johannes D Johansson1, Ola Eriksson, Joakim Wren, Dan Loyd, Karin Wårdell.   

Abstract

Radio-frequency brain lesioning is a method for reducing e.g. symptoms of movement disorders. A small electrode is used to thermally coagulate malfunctioning tissue. Influence on lesion size from thermal and electric conductivity of the tissue, microvascular perfusion and preset electrode temperature was investigated using a finite-element model. Perfusion was modelled as an increased thermal conductivity in non-coagulated tissue. The parameters were analysed using a 2(4)-factorial design (n=16) and quadratic regression analysis (n=47). Increased thermal conductivity of the tissue increased lesion volume, while increased perfusion decreased it since coagulation creates a thermally insulating layer due to the cessation of blood perfusion. These effects were strengthened with increased preset temperature. The electric conductivity had negligible effect. Simulations were found realistic compared to in vivo experimental lesions.

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Year:  2006        PMID: 16941099     DOI: 10.1007/s11517-006-0098-1

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  19 in total

Review 1.  Radiofrequency tumor ablation: principles and techniques.

Authors:  S N Goldberg
Journal:  Eur J Ultrasound       Date:  2001-06

2.  Experimental radiofrequency brain lesions: a volumetric study.

Authors:  Ola Eriksson; Erik-Olof Backlund; Peter Lundberg; Håkan Lindstam; Sivert Lindström; Karin Wårdell
Journal:  Neurosurgery       Date:  2002-09       Impact factor: 4.654

3.  Radio frequency electrode system for optical lesion size estimation in functional neurosurgery.

Authors:  Johan Antonsson; Ola Eriksson; Karin Wårdell
Journal:  J Biomed Opt       Date:  2005 May-Jun       Impact factor: 3.170

4.  Optical measurements during experimental stereotactic radiofrequency lesioning.

Authors:  Johan Antonsson; Ola Eriksson; Peter Lundberg; Karin Wårdell
Journal:  Stereotact Funct Neurosurg       Date:  2006-07-10       Impact factor: 1.875

5.  The matching of thermal fields surrounding countercurrent microvessels and the closure approximation in the Weinbaum-Jiji equation.

Authors:  S Weinbaum; L M Jiji
Journal:  J Biomech Eng       Date:  1989-11       Impact factor: 2.097

6.  Conductivity of living intracranial tissues.

Authors:  J Latikka; T Kuurne; H Eskola
Journal:  Phys Med Biol       Date:  2001-06       Impact factor: 3.609

Review 7.  Recent developments in modeling heat transfer in blood perfused tissues.

Authors:  H Arkin; L X Xu; K R Holmes
Journal:  IEEE Trans Biomed Eng       Date:  1994-02       Impact factor: 4.538

8.  Radio-frequency tissue ablation: effect of pharmacologic modulation of blood flow on coagulation diameter.

Authors:  S N Goldberg; P F Hahn; E F Halpern; R M Fogle; G S Gazelle
Journal:  Radiology       Date:  1998-12       Impact factor: 11.105

9.  How does alteration of hepatic blood flow affect liver perfusion and radiofrequency-induced thermal lesion size in rabbit liver?

Authors:  A J Aschoff; E M Merkle; V Wong; Q Zhang; M M Mendez; J L Duerk; J S Lewin
Journal:  J Magn Reson Imaging       Date:  2001-01       Impact factor: 4.813

10.  Analysis of temperature measurement for monitoring radio-frequency brain lesioning.

Authors:  J Wren; O Eriksson; K Wårdell; D Loyd
Journal:  Med Biol Eng Comput       Date:  2001-03       Impact factor: 3.079

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  3 in total

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Journal:  Biomed Opt Express       Date:  2016-10-06       Impact factor: 3.732

2.  MR-guided transcranial brain HIFU in small animal models.

Authors:  B Larrat; M Pernot; J-F Aubry; E Dervishi; R Sinkus; D Seilhean; Y Marie; A-L Boch; M Fink; M Tanter
Journal:  Phys Med Biol       Date:  2009-12-17       Impact factor: 3.609

3.  RF ablation thermal simulation model: Parameter sensitivity analysis.

Authors:  Xiaoru Wang; Hongjian Gao; Shuicai Wu; Yanping Bai; Zhuhuang Zhou
Journal:  Technol Health Care       Date:  2018       Impact factor: 1.285

  3 in total

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