Literature DB >> 23161121

Benefit of replacing the Sigma-60 by the Sigma-Eye applicator. A Monte Carlo-based uncertainty analysis.

R A M Canters1, M M Paulides, M Franckena, J W Mens, G C van Rhoon.   

Abstract

BACKGROUND AND
PURPOSE: To investigate the clinical benefit of replacing the BSD-2000 Sigma-60 with the Sigma-Eye applicator, taking into account effects of uncertainties in tissue and water bolus parameters. PATIENTS AND METHODS: For 20 patients, specific absorption rate (SAR) and temperature distributions were calculated and optimized, based on computed tomography (CT) scans in treatment position. The impact of uncertainties on predicted distributions was studied using a Monte Carlo uncertainty assessment.
RESULTS: Replacing the Sigma-60 by the Sigma-Eye applicator resulted in a higher SAR in the tumor [on average a decrease of the hotspot tumor quotient (HTQ) by 24%; p < 0.001], and higher temperatures (T90: +0.4°C, p < 0.001; T50: +0.6°C, p < 0.001) using literature values and SAR optimization. When temperature optimization (T90) was used, a larger average increase was found (T90: +0.7°C, p < 0.001; T50: +0.8°C, p < 0.001). When taking into account uncertainties, a decrease of 23% in median HTQ (p < 0.001) and an increase in T50 and T90 of 0.4°C (p < 0.001) could be demonstrated.
CONCLUSION: Based on this uncertainty analysis, significant and clinically relevant improvements in HTQ and tumor temperature were achieved when replacing the Sigma-60 by the Sigma-Eye applicator.

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Year:  2012        PMID: 23161121     DOI: 10.1007/s00066-012-0241-x

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  37 in total

1.  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

2.  Design of a wideband multi-channel system for time reversal hyperthermia.

Authors:  Hana Dobšíček Trefná; Paolo Togni; Reza Shiee; Jan Vrba; Mikael Persson
Journal:  Int J Hyperthermia       Date:  2012       Impact factor: 3.914

3.  Local hyperthermia of N2/N3 cervical lymph node metastases: correlationof technical/thermal parameters and response.

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Journal:  Int J Radiat Oncol Biol Phys       Date:  1996-02-01       Impact factor: 7.038

4.  The clinical feasibility of deep hyperthermia treatment in the head and neck: new challenges for positioning and temperature measurement.

Authors:  M M Paulides; J F Bakker; M Linthorst; J van der Zee; Z Rijnen; E Neufeld; P M T Pattynama; P P Jansen; P C Levendag; G C van Rhoon
Journal:  Phys Med Biol       Date:  2010-04-06       Impact factor: 3.609

5.  The significance of accurate dielectric tissue data for hyperthermia treatment planning.

Authors:  J B Van de Kamer; N Van Wieringen; A A De Leeuw; J J Lagendijk
Journal:  Int J Hyperthermia       Date:  2001 Mar-Apr       Impact factor: 3.914

6.  Procedure for creating a three-dimensional (3D) model for superficial hyperthermia treatment planning.

Authors:  Marianne Linthorst; Tomas Drizdal; Hans Joosten; Gerard C van Rhoon; Jacoba van der Zee
Journal:  Strahlenther Onkol       Date:  2011-11-25       Impact factor: 3.621

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.  Clinical use of the hyperthermia treatment planning system HyperPlan to predict effectiveness and toxicity.

Authors:  Geetha Sreenivasa; Johanna Gellermann; Beate Rau; Jacek Nadobny; Peter Schlag; Peter Deuflhard; Roland Felix; Peter Wust
Journal:  Int J Radiat Oncol Biol Phys       Date:  2003-02-01       Impact factor: 7.038

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  5 in total

Review 1.  Simulation techniques in hyperthermia treatment planning.

Authors:  Margarethus M Paulides; Paul R Stauffer; Esra Neufeld; Paolo F Maccarini; Adamos Kyriakou; Richard A M Canters; Chris J Diederich; Jurriaan F Bakker; Gerard C Van Rhoon
Journal:  Int J Hyperthermia       Date:  2013-05-14       Impact factor: 3.914

2.  Temperature simulations in hyperthermia treatment planning of the head and neck region: rigorous optimization of tissue properties.

Authors:  René F Verhaart; Zef Rijnen; Valerio Fortunati; Gerda M Verduijn; Theo van Walsum; Jifke F Veenland; Margarethus M Paulides
Journal:  Strahlenther Onkol       Date:  2014-11       Impact factor: 3.621

Review 3.  Integrating Loco-Regional Hyperthermia Into the Current Oncology Practice: SWOT and TOWS Analyses.

Authors:  Niloy R Datta; H Petra Kok; Hans Crezee; Udo S Gaipl; Stephan Bodis
Journal:  Front Oncol       Date:  2020-06-12       Impact factor: 6.244

4.  Fast Adaptive Temperature-Based Re-Optimization Strategies for On-Line Hot Spot Suppression during Locoregional Hyperthermia.

Authors:  H Petra Kok; Johannes Crezee
Journal:  Cancers (Basel)       Date:  2021-12-28       Impact factor: 6.639

5.  POD-Kalman filtering for improving noninvasive 3D temperature monitoring in MR-guided hyperthermia.

Authors:  Iva VilasBoas-Ribeiro; Sven A N Nouwens; Sergio Curto; Bram de Jager; Martine Franckena; Gerard C van Rhoon; W P M H Heemels; Margarethus M Paulides
Journal:  Med Phys       Date:  2022-06-26       Impact factor: 4.506

  5 in total

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