Impact of RBE variations on risk estimates of temporal lobe necrosis in patients treated with intensity-modulated proton therapy for head and neck cancer

References

• International Commission on Radiation Units and Measurements. Report 78: prescribing, recording and reporting Proton-Beam therapy. Oxford: International Commission on Radiation Units and Measurements; 2007.
   Google Scholar
• Paganetti H, Blakely E, Carabe-Fernandez A, et al. Report of the AAPM TG-256 on the relative biological effectiveness of proton beams in radiation therapy. Med Phys. 2019;46(3):e53–e78.
   PubMed Web of Science ®Google Scholar
• Paganetti H. Relative biological effectiveness (RBE) values for proton beam therapy. Variations as a function of biological endpoint, dose, and linear energy transfer. Phys Med Biol. 2014;59(22):R419–R472.
   PubMed Web of Science ®Google Scholar
• Carabe A, Moteabbed M, Depauw N, et al. Range uncertainty in proton therapy due to variable biological effectiveness. Phys Med Biol. 2012;57(5):1159–1172.
   PubMed Web of Science ®Google Scholar
• Carabe-Fernandez A, Dale RG, Jones B. The incorporation of the concept of minimum RBE (RbEmin) into the linear-quadratic model and the potential for improved radiobiological analysis of high-LET treatments. Int J Radiat Biol. 2007;83(1):27–39.
   PubMed Web of Science ®Google Scholar
• McNamara AL, Schuemann J, Paganetti H. A phenomenological relative biological effectiveness (RBE) model for proton therapy based on all published in vitro cell survival data. Phys Med Biol. 2015;60(21):8399–8416.
   PubMed Web of Science ®Google Scholar
• Wedenberg M, Lind BK, Hardemark B. A model for the relative biological effectiveness of protons: the tissue specific parameter alpha/beta of photons is a predictor for the sensitivity to LET changes. Acta Oncol. 2013;52(3):580–588.
   PubMed Web of Science ®Google Scholar
• Wilkens JJ, Oelfke U. A phenomenological model for the relative biological effectiveness in therapeutic proton beams. Phys Med Biol. 2004;49(13):2811–2825.
   PubMed Web of Science ®Google Scholar
• Giantsoudi D, Adams J, MacDonald S, et al. Can differences in linear energy transfer and thus relative biological effectiveness compromise the dosimetric advantage of intensity-modulated proton therapy as compared to passively scattered proton therapy? Acta Oncol. 2018;57(9):1259–1264.
   PubMed Web of Science ®Google Scholar
• Oden J, Eriksson K, Toma-Dasu I. Incorporation of relative biological effectiveness uncertainties into proton plan robustness evaluation. Acta Oncol. 2017;56(6):769–778.
   PubMed Web of Science ®Google Scholar
• Wedenberg M, Toma-Dasu I. Disregarding RBE variation in treatment plan comparison may lead to bias in favor of proton plans. Med Phys. 2014;41(9):091706.
   PubMed Web of Science ®Google Scholar
• NHI. NCI Common Terminology Criteria for Adverse Events (CTCAE): National Cancer Institute; 2010. Available from: https://evs.nci.nih.gov/ftp1/CTCAE/CTCAE_4.03/CTCAE_4.03_2010-06-14_QuickReference_5x7.pdf.
   Google Scholar
• Engeseth GM, Stieb S, Mohamed ASR, et al. Outcomes and patterns of radiation associated brain image changes after proton therapy for head and neck skull base cancers. Radiother Oncol. 2020;151:119–125.
   PubMed Web of Science ®Google Scholar
• Huang J, Kong FF, Oei RW, et al. Dosimetric predictors of temporal lobe injury after intensity-modulated radiotherapy for T4 nasopharyngeal carcinoma: a competing risk study. Radiat Oncol. 2019;14(1):31.
   PubMed Web of Science ®Google Scholar
• Kitpanit S, Lee A, Pitter KL, et al. Temporal lobe necrosis in head and neck cancer patients after proton therapy to the skull base. Int J Part Ther. 2020;6(4):17–28.
   PubMedGoogle Scholar
• Kong C, Zhu XZ, Lee TF, et al. LASSO-based NTCP model for radiation-induced temporal lobe injury developing after intensity-modulated radiotherapy of nasopharyngeal carcinoma. Sci Rep. 2016;6:26378.
   PubMed Web of Science ®Google Scholar
• Lawrence YR, Li XA, el Naqa I, et al. Radiation dose-volume effects in the brain. Int J Radiat Oncol Biol Phys. 2010;76(3):S20–S27.
   PubMed Web of Science ®Google Scholar
• Lee AW, Ng WT, Pan JJ, et al. International guideline on dose prioritization and acceptance criteria in radiation therapy planning for nasopharyngeal carcinoma. Int J Radiat Oncol Biol Phys. 2019;105(3):567–580.
   PubMed Web of Science ®Google Scholar
• McDonald MW, Linton OR, Calley CS. Dose-volume relationships associated with temporal lobe radiation necrosis after skull base proton beam therapy. Int J Radiat Oncol Biol Phys. 2015;91(2):261–267.
   PubMed Web of Science ®Google Scholar
• Niyazi M, Niemierko A, Paganetti H, et al. Volumetric and actuarial analysis of brain necrosis in proton therapy using a novel mixture cure model. Radiother Oncol. 2020;142:154–161.
   PubMed Web of Science ®Google Scholar
• Su SF, Huang SM, Han F, et al. Analysis of dosimetric factors associated with temporal lobe necrosis (TLN) in patients with nasopharyngeal carcinoma (NPC) after intensity modulated radiotherapy. Radiat Oncol. 2013;8(1):17.
   PubMed Web of Science ®Google Scholar
• Su SF, Huang Y, Xiao WW, et al. Clinical and dosimetric characteristics of temporal lobe injury following intensity modulated radiotherapy of nasopharyngeal carcinoma. Radiother Oncol. 2012;104(3):312–316.
   PubMed Web of Science ®Google Scholar
• Sun Y, Zhou GQ, Qi ZY, et al. Radiation-induced temporal lobe injury after intensity modulated radiotherapy in nasopharyngeal carcinoma patients: a dose-volume-outcome analysis. BMC Cancer. 2013;13:397.
   PubMed Web of Science ®Google Scholar
• Wang J, Miao Y, Ou X, et al. Development and validation of a model for temporal lobe necrosis for nasopharyngeal carcinoma patients with intensity modulated radiation therapy. Radiat Oncol. 2019;14(1):42.
   PubMed Web of Science ®Google Scholar
• Wen D-W, Lin L, Mao Y-P, et al. Normal tissue complication probability (NTCP) models for predicting temporal lobe injury after intensity-modulated radiotherapy in nasopharyngeal carcinoma: a large registry-based retrospective study from China. Radiother Oncol. 2021;157:99–105.
   PubMed Web of Science ®Google Scholar
• Zeng L, Huang SM, Tian YM, et al. Normal tissue complication probability model for radiation-induced temporal lobe injury after intensity-modulated radiation therapy for nasopharyngeal carcinoma. Radiology. 2015;276(1):243–249.
   PubMed Web of Science ®Google Scholar
• Zhou GQ, Yu XL, Chen M, et al. Radiation-induced temporal lobe injury for nasopharyngeal carcinoma: a comparison of intensity-modulated radiotherapy and conventional two-dimensional radiotherapy. PloS One. 2013;8(7):e67488.
   PubMed Web of Science ®Google Scholar
• Zhou X, Ou X, Xu T, et al. Effect of dosimetric factors on occurrence and volume of temporal lobe necrosis following intensity modulated radiation therapy for nasopharyngeal carcinoma: a case-control study. Int J Radiat Oncol Biol Phys. 2014;90(2):261–269.
   PubMed Web of Science ®Google Scholar
• Wang YX, King AD, Zhou H, et al. Evolution of radiation-induced brain injury: MR imaging-based study. Radiology. 2010;254(1):210–218.
   PubMed Web of Science ®Google Scholar
• Sun Y, Yu X-L, Luo W, et al. Recommendation for a method and atlas of organs at risk in nasopharyngeal carcinoma patients receiving intensity-modulated radiotherapy. Radiother Oncol. 2014;110(3):390–397.
   PubMed Web of Science ®Google Scholar
• Yepes P, Randeniya S, Taddei PJ, et al. A Track-Repeating algorithm for fast Monte Carlo dose calculations of proton radiotherapy. Nucl Technol. 2009;168(3):736–740.
   PubMed Web of Science ®Google Scholar
• Yepes PP, Eley JG, Liu A, et al. Validation of a track repeating algorithm for intensity modulated proton therapy: clinical cases study. Phys Med Biol. 2016;61(7):2633–2645.
   PubMed Web of Science ®Google Scholar
• Yepes PP, Mirkovic D, Taddei PJ. A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations. Phys Med Biol. 2010;55(23):7107–7120.
   PubMed Web of Science ®Google Scholar
• Cortes-Giraldo MA, Carabe A. A critical study of different monte carlo scoring methods of dose average linear-energy-transfer maps calculated in voxelized geometries irradiated with clinical proton beams. Phys Med Biol. 2015;60(7):2645–2669.
   PubMed Web of Science ®Google Scholar
• Agostinelli S, Allison J, Amako K, et al. Geant4—a simulation toolkit. Nucl Instrum Methods Phys Res, Sect A. 2003;506(3):250–303.
   Web of Science ®Google Scholar
• Frese MC, Wilkens JJ, Huber PE, et al. Application of constant vs. variable relative biological effectiveness in treatment planning of intensity-modulated proton therapy. Int J Radiat Oncol Biol Phys. 2011;79(1):80–88.
   PubMed Web of Science ®Google Scholar
• Feng M, Huang Y, Fan X, et al. Prognostic variables for temporal lobe injury after intensity modulated-radiotherapy of nasopharyngeal carcinoma. Cancer Med. 2018;7(3):557–564.
   PubMed Web of Science ®Google Scholar
• Lambrecht M, Eekers DBP, Alapetite C, work package 1 of the taskforce “European Particle Therapy Network” of ESTRO, et al. Radiation dose constraints for organs at risk in neuro-oncology; the european particle therapy network consensus. Radiother Oncol. 2018;128(1):26–36.
   PubMed Web of Science ®Google Scholar
• Team RC. R: a language and environment for statistical computing vienna. Austria: R Foundation for Statistical Computing; 2020. Available from: https://www.R-project.org/.
   Google Scholar
• Harrell FEJ. rms: Regression Modeling Strategies. R package version 6.1-0 2020. Available from: https://CRAN.R-project.org/package=rms.
   Google Scholar
• Yepes P, Adair A, Frank SJ, et al. Fixed-versus variable-RBE computations for intensity modulated proton therapy. Adv Radiat Oncol. 2018;4(1):156–167.
   Google Scholar
• Widder J, van der Schaaf A, Lambin P, et al. The quest for evidence for proton therapy: Model-Based approach and precision medicine. Int J Radiat Oncol Biol Phys. 2016;95(1):30–36.
   PubMed Web of Science ®Google Scholar
• Rørvik E, Fjaera LF, Dahle TJ, et al. Exploration and application of phenomenological RBE models for proton therapy. Phys Med Biol. 2018;63(18):185013.
   PubMed Web of Science ®Google Scholar