TY - JOUR
T1 - A critical review of LET-based intensity- modulated proton therapy plan evaluation and optimization for head and neck cancer management
AU - Deng, Wei
AU - Yang, Yunze
AU - Liu, Chenbin
AU - Bues, Martin
AU - Mohan, Radhe
AU - Wong, William W.
AU - Foote, Robert H.
AU - Patel, Samir H.
AU - Liu, Wei
N1 - Funding Information:
Conflicts of Interest: Wei Liu, PhD, reports grants from National Institutes of Health/National Cancer Institute, Arizona Department of Health Science, The Lawrence W. and Marilyn W. Matteson Fund for Cancer Research, and the Kemper Marley Foundation, outside the submitted work. The LET calculation technology reported in this study has been licensed to .decimal LLC by Mayo Clinic. Robert H. Foote, MD, reports relevant financial activities from Elsevier, UpToDate, and Hitachi, Ltd, outside the submitted work; in addition, Dr Foote has a patent (US Patent No. 9,414,896) titled ‘‘Methods and Materials for Oral Stenting’’ with royalties paid to Mayo Clinic and Robert Foote. The authors have no additional conflicts to disclose. Funding: This research was supported by Arizona Biomedical Research Commission Investigator Award, the Lawrence W. and Marilyn W. Matteson Fund for Cancer Research, and the Kemper Marley Foundation. Dr Wei Liu has a grant from the National Cancer Institute (NCI) Career Developmental Award K25CA168984. Ethical Approval: This study was reviewed by the authors’ institutional research infrastructure and was determined to be exempt from IRB approval.
Publisher Copyright:
© Copyright 2020 The Author(s).
PY - 2021/6/1
Y1 - 2021/6/1
N2 - In this review article, we review the 3 important aspects of linear-energy-transfer (LET) in intensity-modulated proton therapy (IMPT) for head and neck (H&N) cancer management. Accurate LET calculation methods are essential for LET-guided plan evaluation and optimization, which can be calculated either by analytical methods or by Monte Carlo (MC) simulations. Recently, some new 3D analytical approaches to calculate LET accurately and efficiently have been proposed. On the other hand, several fast MC codes have also been developed to speed up the MC simulation by simplifying nonessential physics models and/or using the graphics processor unit (GPU)- acceleration approach. Some concepts related to LET are also briefly summarized including (1) dose-weighted versus fluence-weighted LET; (2) restricted versus unrestricted LET; and (3) microdosimetry versus macrodosimetry. LET-guided plan evaluation has been clinically done in some proton centers. Recently, more and more studies using patient outcomes as the biological endpoint have shown a positive correlation between high LET and adverse events sites, indicating the importance of LET-guided plan evaluation in proton clinics. Various LET-guided plan optimization methods have been proposed to generate proton plans to achieve biologically optimized IMPT plans. Different optimization frameworks were used, including 2-step optimization, 1-step optimization, and worst-case robust optimization. They either indirectly or directly optimize the LET distribution in patients while trying to maintain the same dose distribution and plan robustness. It is important to consider the impact of uncertainties in LET-guided optimization (ie, LET-guided robust optimization) in IMPT, since IMPT is sensitive to uncertainties including both the dose and LET distributions. We believe that the advancement of the LET-guided plan evaluation and optimization will help us exploit the unique biological characteristics of proton beams to improve the therapeutic ratio of IMPT to treat H&N and other cancers.
AB - In this review article, we review the 3 important aspects of linear-energy-transfer (LET) in intensity-modulated proton therapy (IMPT) for head and neck (H&N) cancer management. Accurate LET calculation methods are essential for LET-guided plan evaluation and optimization, which can be calculated either by analytical methods or by Monte Carlo (MC) simulations. Recently, some new 3D analytical approaches to calculate LET accurately and efficiently have been proposed. On the other hand, several fast MC codes have also been developed to speed up the MC simulation by simplifying nonessential physics models and/or using the graphics processor unit (GPU)- acceleration approach. Some concepts related to LET are also briefly summarized including (1) dose-weighted versus fluence-weighted LET; (2) restricted versus unrestricted LET; and (3) microdosimetry versus macrodosimetry. LET-guided plan evaluation has been clinically done in some proton centers. Recently, more and more studies using patient outcomes as the biological endpoint have shown a positive correlation between high LET and adverse events sites, indicating the importance of LET-guided plan evaluation in proton clinics. Various LET-guided plan optimization methods have been proposed to generate proton plans to achieve biologically optimized IMPT plans. Different optimization frameworks were used, including 2-step optimization, 1-step optimization, and worst-case robust optimization. They either indirectly or directly optimize the LET distribution in patients while trying to maintain the same dose distribution and plan robustness. It is important to consider the impact of uncertainties in LET-guided optimization (ie, LET-guided robust optimization) in IMPT, since IMPT is sensitive to uncertainties including both the dose and LET distributions. We believe that the advancement of the LET-guided plan evaluation and optimization will help us exploit the unique biological characteristics of proton beams to improve the therapeutic ratio of IMPT to treat H&N and other cancers.
KW - Intensity-modulated proton therapy
KW - Linear-energy-transfer
KW - Relative biological effectiveness
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U2 - 10.14338/IJPT-20-00049.1
DO - 10.14338/IJPT-20-00049.1
M3 - Review article
AN - SCOPUS:85103275212
SN - 2331-5180
VL - 8
SP - 36
EP - 49
JO - International Journal of Particle Therapy
JF - International Journal of Particle Therapy
IS - 1
ER -