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  • Monte Carlo in Heavy Charged Particle Therapy: New Challenges in Ion Therapy

    Monte Carlo in Heavy Charged Particle Therapy by Cirrone, Pablo; Petringa, Giada;

    New Challenges in Ion Therapy

    Sorozatcím: Series in Medical Physics and Biomedical Engineering;

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    Beszerezhetőség

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    Rövid leírás:

    This book explores the current difficulties and unsolved problems in the field of particle therapy and, after analysing them, discusses how (and if) innovative Monte Carlo approaches can be used to solve them.

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    Hosszú leírás:

    This book explores the current difficulties and unsolved problems in the field of particle therapy and, after analysing them, discusses how (and if) innovative Monte Carlo approaches can be used to solve them.


    Each book chapter is dedicated to a different sub-discipline, including multi-ion treatments, flash-radiotherapy, laser-accelerated beams, nanoparticles effects, binary reactions to enhance radiobiology, and space-related issues. This is the first book able to provide a comprehensive insight into this exciting field and the growing use of Monte Carlo in medical physics.


    It will be of interest to graduate students in medicine and medical physics, in addition to researchers and clinical staff.


    Key Features:



    • Explores the exciting and interdisciplinary topic of Monte Carlo in particle therapy and medicine

    • Addresses common challenges in the field

    • Edited by an authority on the subject, with chapter contributions from specialists


    “The book delves into the present challenges and issues encountered in ion therapy, exploring how Monte Carlo techniques can effectively tackle them. This volume addresses many issues including but not limited to particle dosimetry, calculation uncertainties, Linear Energy Transfer (LET), heavy ion specific quality assurance techniques, and relative biological effects…This book is an invaluable resource and reference for anyone interested in learning about the use and application of Monte Carlo techniques in particle therapy. While all chapters are relevant for Heavy Charge Particle therapy, some also apply to proton therapy. Certain topics, such as dosimetry, are well-established and serve as excellent reference material. However, other areas like FLASH and AI are currently undergoing intense research. Although these chapters may evolve rapidly, they provide valuable insights into cutting-edge developments in the field. While the book covers a wide range of topics, it reads more like a collection of individual subjects rather than a cohesive unit. Nonetheless, its comprehensive coverage and authoritative contributors ensure its significance as a comprehensive resource in the field.”


    — Pablo Yepes,  Ph.D.  (Rice University) in Doody’s Core Titles, July 2024

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    Tartalomjegyzék:

    Chapter 1: The Monte Carlo Method and Its Applications to Heavily Charged Particle Therapy. Chapter 2: Applications of Monte Carlo Calculations in Clinical Dosimetry of Proton and Ion Beams. Chapter 3: Solving Range Uncertainties with Gamma Prompt/Charged Particle Prompt. Chapter 4: Macroscopic and microscopic calculation approaches for LET calculations. Chapter 5: Low energy inelastic process in hadrontherapy. Chapter 6: Experimental Data of Nuclear Fragmentation for Validating Monte Carlo Modes: Present Availability and Lacks. Chapter 7: Quality assurance in particle therapy with PET. Chapter 8: Radioactive beams for ion therapy:  Monte Carlo simulations and experimental verifications. Chapter 9: Monte Carlo and Microdosimetry in particle radiotherapy. Chapter 10: Monte Carlo to link RBE with radiation quality quantities. Chapter 11: Physical and Biological Impact of Projectile and Target Fragmentation. Chapter 12: Monte Carlo characterisation of nanoparticle radio-enhancement for hadron therapy. Chapter 13: Increasing particle therapy biological effectiveness by nuclear reaction-driven binary strategies. Chapter 14: Monte Carlo simulations for Targeted Alpha Therapy. Chapter 15: Experimental and modelling challenges in FLASH radiotherapy with Monte Carlo Methods. Chapter 16: Towards Multiple Ion Applications in Particle Therapy. Chapter 17: Monte Carlo for chemistry in radiation biology. Chapter 18: Recent developments in the TRAX particle track structure code. Chapter 19: Machine Learning for Monte Carlo Simulations. Chapter 20: Speed-up MC in charged particle applications. Chapter 21: Monte Carlo and Analytical codes for Dose planning and recalculation: limits and differential advantages.

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