Literature DB >> 22515345

Temperature superposition for fast computation of 3D temperature distributions during optimization and planning of interstitial ultrasound hyperthermia treatments.

Vasant A Salgaonkar1, Punit Prakash, Chris J Diederich.   

Abstract

PURPOSE: A temperature superposition method has been developed for fast optimisation and planning of interstitial hyperthermia treatments with convectively cooled multi-transducer ultrasound applicators integrated within high dose rate (HDR) brachytherapy catheters.
METHODS: Steady-state temperature distributions produced by individual tubular transducers capable of directional heating were pre-computed using finite element models (FEM) methods. The composite temperature distributions generated by multi-applicator implants were approximated as superposition sums of the pre-computed temperature profiles. Composite temperature distributions produced by the multi-applicator implants were also computed using accurate but computationally expensive FEM methods (considered here as the validation standard). Both methods were used for temperature calculation on a range of test implant geometries and representative patient cases (HDR implants in prostate (n = 13) and cervix (n = 2)), with optimised treatment plans created for the latter.
RESULTS: Difference between temperatures calculated by the superposition and FEM methods was below 0.37°C (95% confidence interval) in test implants at clinically relevant acoustic intensities (0.3-2.0 W/cm²) and blood perfusion (2 kg/m³/s). Difference in 41°C isothermal volumes was below 8.3%. Superposition-based optimisations followed by FEM forward calculations (hybrid plans) were completed 4-7 times faster than FEM-only plans (FEM optimisation + FEM forward). Mean T₉₀, T₅₀ and T₁₀ values from both plans were within 0.3°C, 0.4°C and 0.45°C respectively, and the mean acoustic intensities were within 0.23 W/cm².
CONCLUSIONS: Temperature superposition provides a fast technique for forward or optimised planning of interstitial ultrasound hyperthermia treatments with calculations comparable to more accurate but time consuming FEM methods.

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Year:  2012        PMID: 22515345      PMCID: PMC4659707          DOI: 10.3109/02656736.2012.662666

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


  30 in total

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Authors:  K D Paulsen; S Geimer; J Tang; W E Boyse
Journal:  Int J Hyperthermia       Date:  1999 May-Jun       Impact factor: 3.914

2.  Quasistatic zooming for regional hyperthermia treatment planning.

Authors:  J B Van de Kamer; A A De Leeuw; H Kroeze; J J Lagendijk
Journal:  Phys Med Biol       Date:  2001-04       Impact factor: 3.609

3.  On estimation of the temperature maximum in intraluminal or intracavitary hyperthermia.

Authors:  H P Kok; P M A van Haaren; J D P van Dijk; J Crezee
Journal:  Int J Hyperthermia       Date:  2005-06       Impact factor: 3.914

4.  Benefits of superficial hyperthermia treatment planning: five case studies.

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Review 5.  Hyperthermia treatment planning.

Authors:  J J Lagendijk
Journal:  Phys Med Biol       Date:  2000-05       Impact factor: 3.609

6.  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

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8.  Minimax optimization-based inverse treatment planning for interstitial thermal therapy.

Authors:  I S Khalil-Bustany; C J Diederich; E Polak; C Kirjner-Neto
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9.  Delineation of potential hot spots for hyperthermia treatment planning optimisation.

Authors:  J Wiersma; N van Wieringen; H Crezee; J D P van Dijk
Journal:  Int J Hyperthermia       Date:  2007-05       Impact factor: 3.914

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  4 in total

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Authors:  Vasant A Salgaonkar; Chris J Diederich
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2.  Interstitial ultrasound ablation of vertebral and paraspinal tumours: parametric and patient-specific simulations.

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Review 3.  Modelling of endoluminal and interstitial ultrasound hyperthermia and thermal ablation: applications for device design, feedback control and treatment planning.

Authors:  Punit Prakash; Vasant A Salgaonkar; Chris J Diederich
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4.  A Novel Framework for the Optimization of Simultaneous ThermoBrachyTherapy.

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  4 in total

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