Direct evaluation of radiobiological parameters from clinical data in the case of ion beam therapy: An alternative approach to the relative biological effectiveness

Physics in Medicine and Biology

Volumn 59, Issue 23, 2014, Pages 7393-7417

  Cometto, A ^a   Russo, G ^b   Bourhaleb, F ^c   Milian, F M ^d   Giordanengo, S ^b   Marchetto, F ^b   Cirio, R ^b,e   Attili, A ^b  

^a POLITECNICO DI TORINO   (Italy)

^b SEZIONE DI TORINO   (Italy)

^c I See Internet Simulation Evaluation Envision Ltd   (Italy)

^d DEPARTAMENTO DE CIÊNCIAS BIOLÓGICAS   (Brazil)

^e UNIVERSITY OF TURIN   (Italy)

Author keywords

Ion beam therapy; Rbe; Treatment planning

Indexed keywords

DISEASES; ENERGY TRANSFER; ION BEAMS; IONS; UROLOGY;

AKAIKE INFORMATION CRITERION; GENITOURINARY TOXICITIES; ION BEAM THERAPIES; NORMAL-TISSUE COMPLICATION PROBABILITY MODELS; RADIOBIOLOGICAL PARAMETERS; RELATIVE BIOLOGICAL EFFECTIVENESS; TREATMENT PLANNING; TUMOR CONTROL PROBABILITY;

PATIENT TREATMENT;

EVALUATION STUDY; HUMAN; MALE; PROSTATIC NEOPLASMS; PROTON THERAPY; RELATIVE BIOLOGIC EFFECTIVENESS;

HUMANS; MALE; PROSTATIC NEOPLASMS; PROTON THERAPY; RELATIVE BIOLOGICAL EFFECTIVENESS;

EID: 84911436945     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/59/23/7393     Document Type: Article

References (68)

1. AAPM Task Group 166TPC 2012 39 1386-409 The Use and QA of Biologically Related Models for Treatment Planning Report of AAPM Task Group 166 Med. Phys.
2. Akaike H 1974 A new look at the statistical model identification IEEE Trans. Automatic Control 19 716-23
3. Ando K and Kase Y 2009 Biological characteristics of carbon-ion therapy Int. J. Radiat. Biol. 85 715-28
4. Bentzen S and Joiner M 2009 Basic Clinical Radiobiology ed M Joiner and A V Kogel (London: Edward Arnold) chapter 9
5. Bentzen S r M, Constine L S, Deasy J O, Eisbruch A, Jackson A, Marks L B, Ten Haken R K and Yorke E D 2010 Quantitative analyses of normal tissue effects in the clinic (QUANTEC): an introduction to the scientific issues Int. J. Radiat. Oncol. Biol. Phys. 76 S3-9
6. Bentzen S r M and Ritter M A 2005 The α/β ratio for prostate cancer: what is it, really? Radiother. Oncol. 76 1-3
7. Böhlen T T, Brons S, Dosanjh M, Ferrari A, Fossati P, Haberer T, Patera V and Mairani A 2012 Investigating the robustness of ion beam therapy treatment plans to uncertainties in biological treatment parameters Phys. Med. Biol. 57 7983-8004
8. Calugaru V, Nauraye C, Noël G, Giocanti N, Favaudon V and Mégnin-Chanet F 2011 Radiobiological characterization of two therapeutic proton beams with different initial energy spectra used at the Institut Curie Proton Therapy Center in Orsay Int. J. Radiat. Oncol. Biol. Phys. 81 1136-43
9. Carabe A, Moteabbed M, Depauw N, Schuemann J and Paganetti H 2012 Range uncertainty in proton therapy due to variable biological effectiveness Phys. Med. Biol. 57 1159-72
10. Carabe-Fernandez A, Dale R G, Hopewell J W, Jones B and Paganetti H 2010 Fractionation effects in particle radiotherapy: implications for hypo-fractionation regimes Phys. Med. Biol. 55 5685-700
11. Carabe-Fernandez A, Dale R G and Jones B 2007 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. 83 27-39
12. Carlone M C, Warkentin B, Stavrev P and Fallone B G 2006 Fundamental form of a population TCP model in the limit of large heterogeneity Med. Phys. 33 1634
13. Dale R G and Jones B 1999 The assessment of RBE effects using the concept of biologically effective dose Int. J. Radiat. Oncol. Biol. Phys. 43 639-45
14. Deasy J O, Bentzen S r M, Jackson A, Ten Haken R K, Yorke E D, Constine L S, Sharma A and Marks L B 2010 Improving normal tissue complication probability models: the need to adopt a 'data-pooling' culture Int. J. Radiat. Oncol. Biol. Phys. 76 S151-4
15. Deasy J O 2000 Comments on the use of the LymanKutcherBurman model to describe tissue response to nonuniform irradiation Int. J. Radiat. Oncol. Biol. Phys. 47 1458-9
16. Durante M and Loeffler J S 2010 Charged particles in radiation oncology Nat. Rev. Clin. Oncol. 7 37-43
17. Elsässer T and Scholz M 2007 Cluster effects within the local effect model Radiat. Res. 167 319-29
18. Fossati P et al 2012 Dose prescription in carbon ion radiotherapy: a planning study to compare NIRS and LEM approaches with a clinically-oriented strategy Phys. Med. Biol. 57 7543-54
19. Frese M C, Wilkens J J, Huber P E, Jensen A D, Oelfke U and Taheri-Kadkhoda Z 2011 Application of constant versus variable relative biological effectiveness in treatment planning of intensity-modulated proton therapy Int. J. Radiat. Oncol. Biol. Phys. 79 80-8
20. Friedrich T, Grün R, Scholz U, Elsässer T, Durante M and Scholz M 2013 Sensitivity analysis of the relative biological effectiveness predicted by the local effect model Phys. Med. Biol. 58 6827-49
21. Friedrich T, Scholz U, Elsässer T, Durante M and Scholz M 2012a Calculation of the biological effects of ion beams based on the microscopic spatial damage distribution pattern Int. J. Radiat. Biol. 88 103-7
22. Friedrich T, Scholz U, Elsässer T, Durante M and Scholz M 2012b Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation J. Radiat. Res. 54 494-514
23. Giantsoudi D, Grassberger C, Craft D, Niemierko A, Trofimov A and Paganetti H 2013 Linear energy transfer-guided optimization in intensity modulated proton therapy: feasibility study and clinical potential Int. J. Radiat. Oncol. Biol. Phys. 87 216-22
24. Goitein M 2010 Trials and tribulations in charged particle radiotherapy Radiother. Oncol.: J. Eur. Soc. Therapeutic Radiol. Oncol. 95 23-31
25. Grassberger C and Paganetti H 2011 Elevated LET components in clinical proton beams Phys. Med. Biol. 56 6677-91
26. Grassberger C, Trofimov A, Lomax A and Paganetti H 2011 Variations in linear energy transfer within clinical proton therapy fields and the potential for biological treatment planning Int. J. Radiat. Oncol. Biol. Phys. 80 1559-66
27. Grun R, Friedrich T, Kramer M, Zink K, Durante M, Engenhart-Cabillic R and Scholz M 2013 Physical and biological factors determining the effective proton range Med. Phys. 40 111716
28. Hawkins R B 1998 A microdosimetric-kinetic theory of the dependence of the RBE for cell death on LET Med. Phys. 25 1157-70
29. Hawkins R B 2003 A microdosimetric-kinetic model for the effect of non-Poisson distribution of lethal lesions on the variation of RBE with LET Radiat. Res. 160 61-9
30. IAEA 2008 Relative biological effectiveness in ion beam therapy Technical reports series no. 461 (Vienna: International Atomic Energy Agency) Technical Report 46
31. ICRU 2007 Journal of the ICRU 78 (Oxford: Oxford University Press) chapter report pp 21-8
32. Inaniwa T, Furukawa T, Kase Y, Matsufuji N, Toshito T, Matsumoto Y, Furusawa Y and Noda K 2010 Treatment planning for a scanned carbon beam with a modified microdosimetric kinetic model Phys. Med. Biol. 55 6721-37
33. Jackson A, Marks L B, Bentzen S r M, Eisbruch A, Yorke E D, Ten Haken R K, Constine L S and Deasy J O 2010 The lessons of QUANTEC: recommendations for reporting and gathering data on dose-volume dependencies of treatment outcome Int. J. Radiat. Oncol. Biol. Phys. 76 S155-60
34. Jäkel O, Schulz-Ertner D and Debus J 2007 Specifying carbon ion doses for radiotherapy: the Heidelberg approach J. Radiat. Res. 48 87-95
35. Jensen a D, Münter M W and Debus J 2011 Review of clinical experience with ion beam radiotherapy Br. J. Radiol. 84 S35-47
36. Jones B, Underwood T S A and Dale R G 2011 The potential impact of relative biological effectiveness uncertainty on charged particle treatment prescriptions Br. J. Radiol. 84 61-9
37. Kagawa K et al 2002 Preclinical biological assessment of proton and carbon ion beams at hyogo ion beam medical center Int. J. Radiat. Oncol. Biol. Phys. 54 928-38
38. Källman P, Agren A and Brahme A 1992 Tumour and normal tissue responses to fractionated non-uniform dose delivery Int. J. Radiat. Biol. 62 249-62
39. Kanai T et al 1999 Biophysical characteristics of HIMAC clinical irradiation system for heavy-ion radiation therapy Int. J. Radiat. Oncol. Biol. Phys. 44 201-10
40. Kanai T, Furusawa Y, Fukutsu K, Itsukaichi H, Eguchi-Kasai K and Ohara H 1997 Irradiation of mixed beam and design of spread-out Bragg peak for heavy-ion radiotherapy Radiat. Res. 147 78-85
41. Kase Y, Kanai T, Matsufuji N, Furusawa Y, Elsässer T and Scholz M 2008 Biophysical calculation of cell survival probabilities using amorphous track structure models for heavy-ion irradiation Phys. Med. Biol. 53 37-59
42. Koike S et al 2002 Relative biological effectiveness of 290 MeV u-1 carbon ions for the growth delay of a radioresistant murine fibrosarcoma J. Radiat. Res. 43 247-55
43. Krämer M and Scholz M 2000 Treatment planning for heavy-ion radiotherapy: calculation and optimization of biologically effective dose Phys. Med. Biol. 45 3319-30
44. Loeffler J S and Durante M 2013 Charged particle therapy-optimization, challenges and future directions Nat. Rev. Clin. Oncol. 10 411-24
45. Matsufuji N, Kanai T, Kanematsu N, Miyamoto T, Baba M, Kamada T, Kato H, Yamada S, Mizoe J E and Tsujii H 2007 Specification of carbon ion dose at the national institute of radiological sciences (NIRS) J. Radiat. Res. 48 81-6
46. Mavroidis P, Ferreira B C, Papanikolaou N and Lopes M D C 2013 Analysis of fractionation correction methodologies for multiple phase treatment plans in radiation therapy Med. Phys. 40 031715
47. Mayahara H, Murakami M, Kagawa K, Kawaguchi A, Oda Y, Miyawaki D, Sasaki R, Sugimura K and Hishikawa Y 2007 Acute morbidity of proton therapy for prostate cancer: the hyogo ion beam medical center experience Int. J. Radiat. Oncol. Biol. Phys. 69 434-43
48. Mohan R, Mageras G S, Baldwin B, Brewster L J, Kutcher G J, Leibel S, Burman C M, Ling C C and Fuks Z 1992 Clinically relevant optimization of 3D conformal treatments Med. Phys. 19 933
49. Munro T and Gilbert C 1961 The relation between tumour lethal doses and the radiosensitivity of tumour cells Br. J. Radiol. 34 246-51
50. Niemierko A 1997 Reporting and analyzing dose distributions: a concept of equivalent uniform dose Med. Phys. 24 103
51. Okada T, Tsuji H, Kamada T, Akakura K, Suzuki H, Shimazaki J and Tsujii H 2012 Carbon ion radiotherapy in advanced hypofractionated regimens for prostate cancer: from 20 to 16 fractions Int. J. Radiat. Oncol. Biol. Phys. 84 968-72
52. Paganetti H, Niemierko A, Ancukiewicz M, Gerweck L E, Goitein M, Loeffler J S and Suit H D 2002 Relative biological effectiveness (RBE) values for proton beam therapy Int. J. Radiat. Oncol. Biol. Phys. 53 407-21
53. Petrović I, Ristić-Fira A, Todorović D, Korićanac L, Valastro L, Cirrone P and Cuttone G 2010 Response of a radioresistant human melanoma cell line along the proton spread-out Bragg peak Int. J. Radiat. Biol. 86 742-51
54. Russo G et al 2014 Physical and radiobiological modelling of ion beams in treatment planning through the beamlets superposition approach Phys. Med. Biol. submitted
55. Schinkel C, Stavreva N, Stavrev P, Carlone M and Fallone B 2007 Functional form comparison between the population and the individual Poisson based TCP models Radiol. Oncol. 41 90-8
56. Schlampp I et al 2011 Temporal lobe reactions after radiotherapy with carbon ions: incidence and estimation of the relative biological effectiveness by the local effect model Int. J. Radiat. Oncol. Biol. Phys. 80 815-23
57. Scholz M, Kellerer A M, Kraft-Weyrather W and Kraft G 1997 Computation of cell survival in heavy ion beams for therapy. The model and its approximation Radiat. Environ. Biophys. 36 59-66
58. Scholz M and Kraft G 1996 Track structure and the calculation of biological effects of heavy charged particles Adv. Space Res. 18 5-14
59. Sethi R V et al 2014 Patterns of failure after proton therapy in medulloblastoma; linear energy transfer distributions and relative biological effectiveness associations for relapses Int. J. Radiat. Oncol. Biol. Phys. 88 655-63
60. Stavreva N A and Stavrev P V 2002 Some limitations of the application of the NTCP model describing the response of organs with 'relatively serial' structure Int. J. Radiat. Biol. 78 948-50
61. Stavrev P, Niemierko A, Stravreva N and Goitein M 2001 The application of biological models to clinical data Physica Medica XVII 2-12
62. Stavrev P, Schinkel C, Stavreva N, Warkentin B, Carlone M and Fallone B G 2010 Population TCP estimators in case of heterogeneous irradiation: a new discussion of an old problem Acta Oncol. 49 1293-303
63. Suit H et al 2010 Proton versus carbon ion beams in the definitive radiation treatment of cancer patients Radiotherapy Oncol. 95 3-22
64. Tilly N, Johansson J, Isacsson U, Medin J, Blomquist E, Grusell E and Glimelius B 2005 The influence of RBE variations in a clinical proton treatment plan for a hypopharynx cancer Phys. Med. Biol. 50 2765-77
65. Webb S and Nahum A E 1993 A model for calculating tumour control probability in radiotherapy including the effects of inhomogeneous distributions of dose and clonogenic cell density Phys. Med. Biol. 38 653-66
66. Wilkens J J and Oelfke U 2004a A phenomenological model for the relative biological effectiveness in therapeutic proton beams Phys. Med. Biol. 49 2811-25
67. Wilkens J J and Oelfke U 2004b Three-dimensional LET calculations for treatment planning of proton therapy Z. Med. Phys. 14 41-6
68. Wilkens J J and Oelfke U 2005 Optimization of radiobiological effects in intensity modulated proton therapy Med. Phys. 32 455-65