Literature DB >> 28540815

Computation of ultimate SAR amplification factors for radiofrequency hyperthermia in non-uniform body models: impact of frequency and tumour location.

Bastien Guérin1,2, Jorge F Villena3, Athanasios G Polimeridis4, Elfar Adalsteinsson5,6, Luca Daniel5, Jacob K White5, Bruce R Rosen1,2,6, Lawrence L Wald1,2,6.   

Abstract

PURPOSE: We introduce a method for calculation of the ultimate specific absorption rate (SAR) amplification factors (uSAF) in non-uniform body models. The uSAF is the greatest possible SAF achievable by any hyperthermia (HT) phased array for a given frequency, body model and target heating volume.
METHODS: First, we generate a basis-set of solutions to Maxwell's equations inside the body model. We place a large number of electric and magnetic dipoles around the body model and excite them with random amplitudes and phases. We then compute the electric fields created in the body model by these excitations using an ultra-fast volume integral solver called MARIE. We express the field pattern that maximises the SAF in the target tumour as a linear combination of these basis fields and optimise the combination weights so as to maximise SAF (concave problem). We compute the uSAFs in the Duke body models at 10 frequencies in the 20-900 MHz range and for twelve 3 cm-diameter tumours located at various depths in the head and neck.
RESULTS: For both shallow and deep tumours, the frequency yielding the greatest uSAF was ∼900 MHz. Since this is the greatest frequency that we simulated, we hypothesise that the globally optimal frequency is actually greater.
CONCLUSIONS: The uSAFs computed in this work are very large (40-100 for shallow tumours and 4-17 for deep tumours), indicating that there is a large room for improvement of the current state-of-the-art head and neck HT devices.

Entities:  

Keywords:  SAR amplification factor; Ultimate electromagnetics; frequency of the treatment energy; thermal dose; tumour depth

Mesh:

Year:  2017        PMID: 28540815      PMCID: PMC5681886          DOI: 10.1080/02656736.2017.1319077

Source DB:  PubMed          Journal:  Int J Hyperthermia        ISSN: 0265-6736            Impact factor:   3.914


  44 in total

1.  Experimental and numerical investigation of feed-point parameters in a 3-D hyperthermia applicator using different FDTD models of feed networks.

Authors:  Jacek Nadobny; Horst Fähling; Mark J Hagmann; Paul F Turner; Waldemar Wlodarczyk; Johanna M Gellermann; Peter Deuflhard; Peter Wust
Journal:  IEEE Trans Biomed Eng       Date:  2002-11       Impact factor: 4.538

2.  High-resolution temperature-based optimization for hyperthermia treatment planning.

Authors:  H P Kok; P M A Van Haaren; J B Van de Kamer; J Wiersma; J D P Van Dijk; J Crezee
Journal:  Phys Med Biol       Date:  2005-06-22       Impact factor: 3.609

3.  A randomized clinical trial of radiation therapy versus thermoradiotherapy in stage IIIB cervical carcinoma. 2001.

Authors:  Y Harima; K Nagata; K Harima; V V Ostapenko; Y Tanaka; S Sawada
Journal:  Int J Hyperthermia       Date:  2009-08       Impact factor: 3.914

4.  A literature survey on indicators for characterisation and optimisation of SAR distributions in deep hyperthermia, a plea for standardisation.

Authors:  R A M Canters; P Wust; J F Bakker; G C Van Rhoon
Journal:  Int J Hyperthermia       Date:  2009-11       Impact factor: 3.914

5.  Ultimate intrinsic signal-to-noise ratio in MRI.

Authors:  O Ocali; E Atalar
Journal:  Magn Reson Med       Date:  1998-03       Impact factor: 4.668

6.  Methods and potentials of magnetic resonance imaging for monitoring radiofrequency hyperthermia in a hybrid system.

Authors:  J Gellermann; W Wlodarczyk; A Feussner; H Fähling; J Nadobny; B Hildebrandt; R Felix; P Wust
Journal:  Int J Hyperthermia       Date:  2005-09       Impact factor: 3.914

7.  Comparison of radiotherapy alone with radiotherapy plus hyperthermia in locally advanced pelvic tumours: a prospective, randomised, multicentre trial. Dutch Deep Hyperthermia Group.

Authors:  J van der Zee; D González González; G C van Rhoon; J D van Dijk; W L van Putten; A A Hart
Journal:  Lancet       Date:  2000-04-01       Impact factor: 79.321

8.  Computational techniques for fast hyperthermia temperature optimization.

Authors:  S K Das; S T Clegg; T V Samulski
Journal:  Med Phys       Date:  1999-02       Impact factor: 4.071

9.  A fast algorithm to find optimal controls of multiantenna applicators in regional hyperthermia.

Authors:  T Köhler; P Maass; P Wust; M Seebass
Journal:  Phys Med Biol       Date:  2001-09       Impact factor: 3.609

10.  The dielectric properties of cancerous tissues in a nude mouse xenograft model.

Authors:  Done-Sik Yoo
Journal:  Bioelectromagnetics       Date:  2004-10       Impact factor: 2.010

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  5 in total

1.  A formalism to investigate the optimal transmit efficiency in radiofrequency shimming.

Authors:  Ioannis P Georgakis; Athanasios G Polimeridis; Riccardo Lattanzi
Journal:  NMR Biomed       Date:  2020-07-28       Impact factor: 4.044

2.  SAR and temperature distributions in a database of realistic human models for 7 T cardiac imaging.

Authors:  Bart R Steensma; Ettore F Meliadò; Peter Luijten; Dennis W J Klomp; Cornelis A T van den Berg; Alexander J E Raaijmakers
Journal:  NMR Biomed       Date:  2021-05-06       Impact factor: 4.044

3.  Solving the Time- and Frequency-Multiplexed Problem of Constrained Radiofrequency Induced Hyperthermia.

Authors:  Andre Kuehne; Eva Oberacker; Helmar Waiczies; Thoralf Niendorf
Journal:  Cancers (Basel)       Date:  2020-04-25       Impact factor: 6.639

4.  Design, Implementation, Evaluation and Application of a 32-Channel Radio Frequency Signal Generator for Thermal Magnetic Resonance Based Anti-Cancer Treatment.

Authors:  Haopeng Han; Thomas Wilhelm Eigentler; Shuailin Wang; Egor Kretov; Lukas Winter; Werner Hoffmann; Eckhard Grass; Thoralf Niendorf
Journal:  Cancers (Basel)       Date:  2020-06-28       Impact factor: 6.639

5.  Microwave Hyperthermia of Brain Tumors: A 2D Assessment Parametric Numerical Study.

Authors:  Jan Redr; Tomas Pokorny; Tomas Drizdal; Ondrej Fiser; Matous Brunat; Jan Vrba; David Vrba
Journal:  Sensors (Basel)       Date:  2022-08-16       Impact factor: 3.847

  5 in total

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