New developments in treatment planning and verification of particle beam therapy.

Charged particle beam therapy has been used for almost 60 years. During the initial 40 years, the medical use of protons and heavy ions was explored at accelerator laboratories in a limited number of patients and for a limited number of cancerous and non-cancerous disease conditions. After the development of computed tomography and 3D treatment planning, it was time to move charged particle therapy into the clinical realm. This happened in October 1991 when an ocular melanoma patient became the first patient to be treated at Loma Linda University Medical Center in California. Due to the increased awareness of the advantages of charged particle therapy and promising results of single-institution experiences, one currently observes a phase of rapid expansion of proton treatment centers throughout the world. A few of these centers are combined proton/carbon ion facilities. It is very important that the technological evolution of charged particle therapy will continue during this phase of clinical expansion to ensure that the increasing number of patients exposed to therapeutic charged particles will benefit most from the advantageous dose distributions that these particles afford. This report will give an overview of translational research activities related to planning and verification of proton therapy in which the authors have been involved for a number of years. While our activities focus on protons, these developments are to a large degree also applicable to carbon ion therapy.

[1]  V. Natarajan,et al.  [The Nobel Prize in physiology or medicine]. , 1998, Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke.

[2]  V. Bashkirovb,et al.  Issues in Proton Computed Tomography , 2003 .

[3]  Wei Chen,et al.  Including robustness in multi-criteria optimization for intensity-modulated proton therapy , 2011, Physics in medicine and biology.

[4]  H. Paganetti.  Range uncertainties in proton therapy and the role of Monte Carlo simulations , 2012, Physics in medicine and biology.

[5]  J. Flanz,et al.  Particle Beam Scanning , 2011 .

[6]  A. Cormack.  Representation of a Function by Its Line Integrals, with Some Radiological Applications , 1963 .

[7]  H. Sadrozinski,et al.  Initial studies on proton computed tomography using a silicon strip detector telescope , 2003 .

[8]  R W Schulte,et al.  The Phase I Proton CT Scanner and Test Beam Results at LLUMC, invited. , 2012, Transactions of the American Nuclear Society.

[9]  R A Koeppe,et al.  PROTON COMPUTED TOMOGRAPHY OF HUMAN SPECIMENS , 1982, Physics in medicine and biology.

[10]  Joao Seco,et al.  Effects of Hounsfield number conversion on CT based proton Monte Carlo dose calculations. , 2007, Medical physics.

[11]  J. Lindsten,et al.  The Nobel Prize in Physiology or Medicine , 2001 .

[12]  E. Pedroni,et al.  The calibration of CT Hounsfield units for radiotherapy treatment planning. , 1996, Physics in medicine and biology.

[13]  Gregory C Sharp,et al.  In vivo proton beam range verification using spine MRI changes. , 2010, International journal of radiation oncology, biology, physics.

[14]  R. Mohan,et al.  Theoretical variance analysis of single- and dual-energy computed tomography methods for calculating proton stopping power ratios of biological tissues , 2010, Physics in medicine and biology.

[15]  D. Williams,et al.  The most likely path of an energetic charged particle through a uniform medium. , 2004, Physics in medicine and biology.

[16]  Peter Wilhelm,et al.  Nobel Prize , 1964 .

[17]  A B Rosenfeld,et al.  Total variation superiorization schemes in proton computed tomography image reconstruction. , 2010, Medical physics.

[18]  Harald Paganetti,et al.  Proton therapy physics , 2011 .

[19]  P Zygmanski,et al.  The measurement of proton stopping power using proton-cone-beam computed tomography. , 2000, Physics in medicine and biology.

[20]  V. Sipala,et al.  A proton imaging device: Design and status of realization , 2010 .

[21]  S N Penfold,et al.  A maximum likelihood proton path formalism for application in proton computed tomography. , 2008, Medical physics.

[22]  H. O. Wyckoff,et al.  International Commission on Radiation Units and Measurements , 1975 .

[23]  G. Chen,et al.  Treatment planning for heavy ion radiotherapy. , 1979, International journal of radiation oncology, biology, physics.

[24]  Todd Pawlicki,et al.  An evidence based review of proton beam therapy: the report of ASTRO's emerging technology committee. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[25]  J. N. Bradbury,et al.  COMPUTED TOMOGRAPHY USING PROTON ENERGY LOSS , 1981, Physics in medicine and biology.

[26]  M Goitein,et al.  Compensating for heterogeneities in proton radiation therapy. , 1984, Physics in medicine and biology.

[27]  A Ghebremedhin,et al.  Water-equivalent path length calibration of a prototype proton CT scanner. , 2012, Medical physics.

[28]  Thomas Bortfeld,et al.  Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning. , 2008, Medical physics.

[29]  S. Peggs,et al.  Conceptual design of a proton computed tomography system for applications in proton radiation therapy , 2004, IEEE Transactions on Nuclear Science.

[30]  R. Cloutier.  Tissue Substitutes in Radiation Dosimetry and Measurement. , 1989 .

[31]  A. Lomax,et al.  Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties , 2008, Physics in medicine and biology.

[32]  Zhengrong Liang,et al.  Reconstruction for proton computed tomography by tracing proton trajectories: a Monte Carlo study. , 2006, Medical physics.

[33]  A B Rosenfeld,et al.  A more accurate reconstruction system matrix for quantitative proton computed tomography. , 2009, Medical physics.

[34]  S. Penfold.  Image reconstruction and Monte Carlo simulations in the development of proton computed tomography for applications in proton radiation therapy , 2010 .

[35]  Harald Paganetti,et al.  The impact of uncertainties in the CT conversion algorithm when predicting proton beam ranges in patients from dose and PET-activity distributions , 2010, Physics in medicine and biology.

[36]  Barbara Kaser-Hotz,et al.  Patient specific optimization of the relation between CT-hounsfield units and proton stopping power with proton radiography. , 2004, Medical physics.

[37]  Timothy C Y Chan,et al.  Accounting for range uncertainties in the optimization of intensity modulated proton therapy , 2007, Physics in medicine and biology.

[38]  Tianfang Li,et al.  Density resolution of proton computed tomography. , 2005, Medical physics.

[39]  E Pedroni,et al.  Proton radiography as a tool for quality control in proton therapy. , 1995, Medical physics.