Literature DB >> 23738700

Thermal modelling using discrete vasculature for thermal therapy: A review.

H Petra Kok1, Johanna Gellermann, Cornelis A T van den Berg, Paul R Stauffer, Jeffrey W Hand, Johannes Crezee.   

Abstract

Reliable temperature information during clinical hyperthermia and thermal ablation is essential for adequate treatment control, but conventional temperature measurements do not provide 3D temperature information. Treatment planning is a very useful tool to improve treatment quality, and substantial progress has been made over the last decade. Thermal modelling is a very important and challenging aspect of hyperthermia treatment planning. Various thermal models have been developed for this purpose, with varying complexity. Since blood perfusion is such an important factor in thermal redistribution of energy in in vivo tissue, thermal simulations are most accurately performed by modelling discrete vasculature. This review describes the progress in thermal modelling with discrete vasculature for the purpose of hyperthermia treatment planning and thermal ablation. There has been significant progress in thermal modelling with discrete vasculature. Recent developments have made real-time simulations possible, which can provide feedback during treatment for improved therapy. Future clinical application of thermal modelling with discrete vasculature in hyperthermia treatment planning is expected to further improve treatment quality.

Entities:  

Mesh:

Year:  2013        PMID: 23738700      PMCID: PMC3684078          DOI: 10.3109/02656736.2013.801521

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


  52 in total

1.  Modelling individual temperature profiles from an isolated perfused bovine tongue.

Authors:  B W Raaymakers; J Crezee; J J Lagendijk
Journal:  Phys Med Biol       Date:  2000-03       Impact factor: 3.609

2.  Hybrid finite element-finite difference method for thermal analysis of blood vessels.

Authors:  C H Blanchard; G Gutierrez; J A White; R B Roemer
Journal:  Int J Hyperthermia       Date:  2000 Jul-Aug       Impact factor: 3.914

3.  A new fundamental bioheat equation for muscle tissue--part II: Temperature of SAV vessels.

Authors:  Liang Zhu; Lisa X Xu; Qinghong He; Sheldon Weinbaum
Journal:  J Biomech Eng       Date:  2002-02       Impact factor: 2.097

4.  Tissue temperature oscillations in an isolated pig kidney during surface heating.

Authors:  Cuiye Chen; Lisa X Xu
Journal:  Ann Biomed Eng       Date:  2002       Impact factor: 3.934

5.  Fast thermal simulations and temperature optimization for hyperthermia treatment planning, including realistic 3D vessel networks.

Authors:  H P Kok; C A T van den Berg; A Bel; J Crezee
Journal:  Med Phys       Date:  2013-10       Impact factor: 4.071

6.  Monitoring of deep brain temperature in infants using multi-frequency microwave radiometry and thermal modelling.

Authors:  J W Han; G M Van Leeuwen; S Mizushina; J B Van de Kamer; K Maruyama; T Sugiura; D V Azzopardi; A D Edwards
Journal:  Phys Med Biol       Date:  2001-07       Impact factor: 3.609

7.  An analytical model of the counter-current heat exchange phenomena.

Authors:  J W Mitchell; G E Myers
Journal:  Biophys J       Date:  1968-08       Impact factor: 4.033

8.  Microvascular contributions in tissue heat transfer.

Authors:  M M Chen; K R Holmes
Journal:  Ann N Y Acad Sci       Date:  1980       Impact factor: 5.691

9.  Numerical modeling of temperature distributions within the neonatal head.

Authors:  G M Van Leeuwen; J W Hand; J J Lagendijk; D V Azzopardi; A D Edwards
Journal:  Pediatr Res       Date:  2000-09       Impact factor: 3.756

10.  Discretizing large traceable vessels and using DE-MRI perfusion maps yields numerical temperature contours that match the MR noninvasive measurements.

Authors:  O I Craciunescu; B W Raaymakers; A N Kotte; S K Das; T V Samulski; J J Lagendijk
Journal:  Med Phys       Date:  2001-11       Impact factor: 4.071

View more
  7 in total

Review 1.  Review of temperature dependence of thermal properties, dielectric properties, and perfusion of biological tissues at hyperthermic and ablation temperatures.

Authors:  Christian Rossmanna; Dieter Haemmerich
Journal:  Crit Rev Biomed Eng       Date:  2014

2.  A clinical study of thermal monitoring techniques of ultrasound-guided microwave ablation for hepatocellular carcinoma in high-risk locations.

Authors:  Han Zhi-Yu; Liang Ping; Yu Xiao-Ling; Cheng Zhi-Gang; Liu Fang-Yi; Yu Jie
Journal:  Sci Rep       Date:  2017-01-23       Impact factor: 4.379

3.  Hyperthermia Treatment Planning Including Convective Flow in Cerebrospinal Fluid for Brain Tumour Hyperthermia Treatment Using a Novel Dedicated Paediatric Brain Applicator.

Authors:  Gerben Schooneveldt; Hana Dobšíček Trefná; Mikael Persson; Theo M de Reijke; Klas Blomgren; H Petra Kok; Hans Crezee
Journal:  Cancers (Basel)       Date:  2019-08-15       Impact factor: 6.639

4.  A Guide for Water Bolus Temperature Selection for Semi-Deep Head and Neck Hyperthermia Treatments Using the HYPERcollar3D Applicator.

Authors:  Tomas Drizdal; Gerard C van Rhoon; Rene F Verhaart; Ondrej Fiser; Margarethus M Paulides
Journal:  Cancers (Basel)       Date:  2021-12-05       Impact factor: 6.639

Review 5.  Current Challenges in Image-Guided Magnetic Hyperthermia Therapy for Liver Cancer.

Authors:  Anirudh Sharma; Erik Cressman; Anilchandra Attaluri; Dara L Kraitchman; Robert Ivkov
Journal:  Nanomaterials (Basel)       Date:  2022-08-12       Impact factor: 5.719

Review 6.  Current state of the art of regional hyperthermia treatment planning: a review.

Authors:  H P Kok; P Wust; P R Stauffer; F Bardati; G C van Rhoon; J Crezee
Journal:  Radiat Oncol       Date:  2015-09-17       Impact factor: 3.481

7.  Biological modelling of the radiation dose escalation effect of regional hyperthermia in cervical cancer.

Authors:  J Crezee; C M van Leeuwen; A L Oei; L E van Heerden; A Bel; L J A Stalpers; P Ghadjar; N A P Franken; H P Kok
Journal:  Radiat Oncol       Date:  2016-02-02       Impact factor: 3.481

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.