References (continued)
26. Ozasa K, Shimizu Y, Suyama A, et al. Studies of the mortality of atomic bomb survivors, Report 14, 1950-2003: an overview of cancer and noncancer diseases. Radiat Res. 2012;177(3):229–243.
Continue Reading
27. Calabrese EJ, O’Connor MK. Estimating risk of low radiation doses – a critical review of the BEIR VII report and its use of the linear no-threshold (LNT) hypothesis. Radiat Res. 2014;182(5):463–474.
28. Doss M. Adoption of linear no-threshold model violated basic scientific principles and was harmful: Letter from Mohan Doss regarding Edward Calabrese’s paper “How the US National Academy of Sciences misled the world community on cancer risk assessment: new findings challenge historical foundations of the linear dose response” (Arch Toxicol(2013) 87:2063-2081) and the letter from Ralph J Cicerone (Arch Toxicol (2014) 88:171-172). Arch Toxicol. 2014;88:849–852.
29. Tubiana M. Dose-effect relationship and estimation of the carcinogenic effects of low doses of ionizing radiation: the joint report of the Académie des Sciences (Paris) and of the Académie Nationale de Médecine. Int J Radiat Oncol Biol Phys. 2005;63:317–319.
30. Preston DL, Pierce DA, Shimizu Y, et al. Effect of recent changes in atomic bomb survivor dosimetry on cancer mortality risk estimates. Radiat Res. 2014;162:377–389.
31. Doss M. Linear no-threshold model vs. radiation hormesis. Dose Response. 2013;11:480–497.
32. Siegel JA, Pennington CW, Sacks B, Welsh JS. The birth of the illegitimate linear no-threshold model: an invalid paradigm for estimating risk following low-dose radiation exposure. Am J Clin Oncol. 2018;41(2):173–177.
33. Doss M, Little MP, Orton CG. Point/counterpoint: low-dose radiation is beneficial, not harmful. Med Phys. 2014;41:070601.
34. Jacob P, Meckbach R, Kaiser JC, Sokolnikov M. Possible expressions of radiation-induced genomic instability, bystander effects or low-dose hypersensitivity in cancer epidemiology. Mutat Res. 2010;687(1–2):34–39.
35. Warner E. Clinical practice. breast-cancer screening. N Engl J Med. 2011;365:1025–1032.
36. Mascalchi M, Belli G, Zappa M, et al. Risk-benefit analysis of X-ray exposure associated with lung cancer screening in the Italung-CT trial. AJR Am J Roentgenol. 2006;187(2):421–429.
37. Kal HB, Struikmans H. Radiotherapy during pregnancy: fact and fiction. Lancet Oncol. 2005;6(5):328–333.
38. Yip SS, Aerts HJ. Applications and limitations of radiomics. Phys Med Biol. 2016;61(13):R150–R166.
39. Aerts HJ, Velazquez ER, Leijenaar RT, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006.
40. Li H, Dolly S, Chen HC, et al. A comparative study based on image quality and clinical task performance for CT reconstruction algorithms in radiotherapy. J Appl Clin Med Phys. 2016;17(4):377–390.
41. Pearce MS, Salotti JA, Little MP, et al. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet. 2012;380(9840):499–505.
42. Mathews JD, Forsythe AV, Brady Z, et al. Cancer risk in 680,000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians. BMJ. 2013;346:f2360.
43. Hevezi JM, Mahesh M. Optimizing CT dose and image quality for radiotherapy patients. J Am Coll Radiol. 2012;9:152.
44. Segedin B, Petric P. Uncertainties in target volume delineation in radiotherapy – are they relevant and what can we do about them? Radiol Oncol. 2016;50(3):254–262.
45. Matsuzaki Y, Fujii K, Kumagai M, Tsuruoka I, Mori S. Effective and organ doses using helical 4DCT for thoracic and abdominal therapies. J Radiat Res. 2013;54(5):962–970.
46. Suit H, Goldberg S, Niemierko A, et al. Secondary carcinogenesis in patients treated with radiation: a review of data on radiation-induced cancers in human, non-human primate, canine and rodent subjects. Radiat Res. 2007;167(1):12–42.
47. Berrington de Gonzalez A, Gilbert E, Curtis R, et al. Second solid cancers after radiation therapy: a systematic review of the epidemiologic studies of the radiation dose-response relationship. Int J Radiat Oncol Biol Phys. 2013;86(2):224–233.
48. Hall EJ. Intensity-modulated radiation therapy, protons, and the risk of second cancers. Int J Radiat Oncol Biol Phys. 2006;65(1):1–7.
49. Schneider U, Besserer J, Mack A. Hypofractionated radiotherapy has the potential for second cancer reduction. Theor Biol Med Model. 2010;7:4.
50. Joosten A, Bochud F, Baechler S, Levi F, Mirimanoff RO, Moeckli R. Variability of a peripheral dose among various linac geometries for second cancer risk assessment. Phys Med Biol. 2011;56(16):5131–5151.
51. Kim DW, Chung WK, Shin D, et al. Risk of second cancer from scattered radiation of intensity-modulated radiotherapies with lung cancer. Radiat Oncol. 2013;8:47.
52. Aoyama H, Westerly DC, Mackie TR, et al. Integral radiation dose to normal structures with conformal external beam radiation. Int J Radiat Oncol Biol Phys. 2006;64(3):962–967.
53. Sharma DS, Animesh, Deshpande SS, et al. Peripheral dose from uniform dynamic multileaf collimation fields: implications for sliding window intensity-modulated radiotherapy. Br J Radiol. 2006;79:331–335.
54. Xu XG, Bednarz B, Paganetti H. A review of dosimetry studies on external-beam radiation treatment with respect to second cancer induction. Phys Med Biol. 2008;53(13):R193–R241.
55. Murray L, Henry A, Hoskin P, Siebert FA, Venselaar J; BRAPHYQS/PROBATE Group of the GEC ESTRO. Second primary cancers after radiation for prostate cancer: a review of data from planning studies. Radiat Oncol. 2013;8:172.
56. Kirova YM, Gambotti L, De Rycke Y, Vilcoq JR, Asselain B, Fourquet A. Risk of second malignancies after adjuvant radiotherapy for breast cancer: a large-scale, single-institution review. Int J Radiat Oncol Biol Phys. 2007;68(2):359–363.
57. Gao X, Fisher SG, Mohideen N, Emami B. Second primary cancers in patients with laryngeal cancer: a population-based study. Int J Radiat Oncol Biol Phys. 2003;56(2):427–435.
58. Birgisson H, Påhlman L, Gunnarsson U, Glimelius B. Occurrence of second cancers in patients treated with radiotherapy for rectal cancer. J Clin Oncol. 2005;23(25):6126–6131.
59. Hashibe M, Ritz B, Le AD, Li G, Sankaranarayanan R, Zhang ZF. Radiotherapy for oral cancer as a risk factor for second primary cancers. Cancer Lett. 2005;220(2):185–195.
60. Travis LB, Fosså SD, Schonfeld SJ, et al. Second cancers among 40,576 testicular cancer patients: focus on long-term survivors. J Natl Cancer Inst. 2005;97(18):1354–1365.
61. Chuang SC, Hashibe M, Yu GP, et al. Radiotherapy for primary thyroid cancer as a risk factor for second primary cancers. Cancer Lett. 2006;238(1):42–52.
62. Wiltink LM, Nout RA, Fiocco M, et al. No increased risk of second cancer after radiotherapy in patients treated for rectal or endometrial cancer in the randomized TME, PORTEC-1, and PORTEC-2 trials. J Clin Oncol. 2015;33(15):1640–1646.
63. Wallis CJ, Mahar AL, Choo R, et al. Second malignancies after radiotherapy for prostate cancer: systematic review and meta-analysis. BMJ. 2016;352:i851.
64. Peters LJ, O’Sullivan B, Giralt J, et al. Critical impact of radiotherapy protocol compliance and quality in the treatment of advanced head and neck cancer: results from TROG 02.02. J Clin Oncol. 2010;28(18):2996–3001.
65. Zhu X, Ge Y, Li T, et al. A planning quality evaluation tool for prostate adaptive IMRT based on machine learning. Med Phys. 2011;38(2):719–726.
66. Amit G, Purdie TG, Levinshtein A, et al. Automatic learning-based beam angle selection for thoracic IMRT. Med Phys. 2015;42(4):1992–2005.
67. Guidi G, Maffei N, Meduri B, et al. A machine learning tool for re-planning and adaptive RT: A multicenter cohort investigation. Phys Med. 2016;32(12):1659–1666.
68. Ajithkumar T, Price S, Horan G, Burke A, Jefferies S. Prevention of radiotherapy-induced neurocognitive dysfunction in survivors of paediatric brain tumours: the potential role of modern imaging and radiotherapy techniques. Lancet Oncol. 2017;18(2):e91–e100.
69. Daşu A, Toma-Daşu I, Franzén L, Widmark A, Nilsson P. Secondary malignancies from prostate cancer radiation treatment: a risk analysis of the influence of target margins and fractionation patterns. Int J Radiat Oncol Biol Phys. 2011;79(3):738–746.
70. Dörr W, Herrmann T. Cancer induction by radiotherapy: dose dependence and spatial relationship to irradiated volume. J Radiol Prot. 2002;22(3A):A117–A121.
71. Schneider U, Hälg R, Besserer J. Concept for quantifying the dose from image guided radiotherapy. Radiat Oncol. 2015;10:188.
72. Cheng CS, Jong WL, Ung NM, Wong JH. Evaluation of imaging dose from different image guided systems during head and neck radiotherapy: a phantom study. Radiat Prot Dosimetry. 2017;175(3):357–362.
73. Alaei P, Spezi E, Reynolds M. Dose calculation and treatment plan optimization including imaging dose from kilovoltage cone beam computed tomography. Acta Oncol. 2014;53(6):839–844.
74. Ding GX, Munro P. Radiation exposure to patients from image guidance procedures and techniques to reduce the imaging dose. Radiother Oncol. 2013;108(1):91–98.
75. Yang W, Wang L, Read P, Larner J, Sheng K. Increased tumor radioresistance by imaging doses from volumetric image guided radiation therapy. Med Phys. 2009;36:2808.
76. Flynn RT. Loss of radiobiological effect of imaging dose in image guided radiotherapy due to prolonged imaging-to-treatment times. Med Phys. 2010;37(6):2761–2769.
77. Pallotta S, Vanzi E, Simontacchi G, et al. Surface imaging, portal imaging, and skin marker set-up vs. CBCT for radiotherapy of the thorax and pelvis. Strahlenther Onkol. 2015;191(9):726–733.
78. Walsh KE, Dodd KS, Seetharaman K, et al. Medication errors among adults and children with cancer in the outpatient setting. J Clin Oncol. 2009;27(6):891–896.
79. Portaluri M, Fucilli FI, Gianicolo EA, et al. Collection and evaluation of incidents in a radiotherapy department: a reactive risk analysis. Strahlenther Onkol. 2010;186(12):693–699.
80. Glitzner M, Fast MF, de Senneville BD, et al. Real-time auto-adaptive margin generation for MLC-tracked radiotherapy. Phys Med Biol. 2017;62(1):186–201.
81. Nyholm T, Olsson C, Agrup M, et al. A national approach for automated collection of standardized and population-based radiation therapy data in Sweden. Radiother Oncol. 2016;119(2):344–350.
82. Meadows AT, Friedman DL, Neglia JP, et al. Second neoplasms in survivors of childhood cancer: findings from the childhood cancer survivor study cohort. J Clin Oncol. 2009;27(14):2356–2362.
83. Cardis E, Howe G, Ron E, et al. Cancer consequences of the Chernobyl accident: 20 years on. J Radiol Prot. 2006;26(2):127–140.
84. Friedman DL, Whitton J, Leisenring W, et al. Subsequent neoplasms in 5-year survivors of childhood cancer: the childhood cancer survivor study. J Natl Cancer Inst. 2010;102(14):1083–1095.
85. Reulen RC, Frobisher C, Winter DL, et al. Long-term risks of subsequent primary neoplasms among survivors of childhood cancer. JAMA. 2011;305(22):2311–2319.
86. Cowens-Alvarado R, Sharpe K, Pratt-Chapman M, et al. Advancing survivorship care through the National Cancer Survivorship Resource Center: developing American Cancer Society guidelines for primary care providers. CA Cancer J Clin. 2013;63(3):147–150.
87. Wood ME, Vogel V, Ng A, Foxhall L, Goodwin P, Travis LB. Second malignant neoplasms: assessment and strategies for risk reduction. J Clin Oncol. 2012;30(3):3734–3745.
88. Griffioen GH, Dahele M, de Haan PF, van de Ven PM, Slotman BJ, Senan S. High-dose, conventionally fractionated thoracic reirradiation for lung tumors. Lung Cancer. 2014;83(3):356–362.
89. De Ruysscher D, Faivre-Finn C, Le Pechoux C, Peeters S, Belderbos J. High-dose re-irradiation following radical radiotherapy for non-small-cell lung cancer. Lancet Oncol. 2014;15(13):e620–e624.
90. Fogh SE, Andrews DW, Glass J, et al. Hypofractionated stereotactic radiation therapy: an effective therapy for recurrent high-grade gliomas. J Clin Oncol. 2010;28(18):3048–3053.
91. Barton MB, Allen S, Delaney GP, et al. Patterns of retreatment by radiotherapy. Clin Oncol (R Coll Radiol). 2014;26(10):611–618.
92. Nieder C, Langendijk JA, Guckenberger M, Grosu AL. Prospective randomized clinical studies involving reirradiation: Lessons learned. Strahlenther Onkol. 2016;192(10):679–686.
93. Marta GN, Hijal T, de Andrade Carvalho H. Reirradiation for locally recurrent breast cancer. Breast. 2017;33:159–165.
94. Guren MG, Undseth C, Rekstad BL, et al. Reirradiation of locally recurrent rectal cancer: a systematic review. Radiother Oncol. 2014;113(2):151–157.
95. Newhauser WD, Durante M. Assessing the risk of second malignancies after modern radiotherapy. Nat Rev Cancer. 2011;11(6):438–448.
96. Detappe A, Thomas E, Tibbitt MW, et al. Ultrasmall silica-based bismuth gadolinium nanoparticles for dual magnetic resonance-computed tomography image guided radiation therapy. Nano Lett. 2017;17(3):1733–1740.
97. Eekers DB, Roelofs E, Jelen U, et al. Benefit of particle therapy in re-irradiation of head and neck patients. Results of a multicentric in silico ROCOCO trial. Radiother Oncol. 2016;121(3):387–394.
98. Gustafsson C, Nordström F, Persson E, Brynolfsson J, Olsson LE. Assessment of dosimetric impact of system specific geometric distortion in an MRI only based radiotherapy workflow for prostate. Phys Med Biol. 2017;62(8):2976–2989.
Source: Cancer Management and Research.
Originally published June 22, 2018.
