Survival and tumour control probability in tumours with heterogeneous oxygenation: A comparison between the linear-quadratic and the universal survival curve models for high doses

Acta Oncologica

Volumn 53, Issue 8, 2014, Pages 1035-1040

  Lindblom, Emely ^a   Dasu, Alexandru ^b   Lax, Ingmar ^c   Toma Dasu, Iuliana ^a,d  

^a STOCKHOLM UNIVERSITY   (Sweden)

^b LINKÖPING UNIVERSITY   (Sweden)

^c KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

^d KAROLINSKA INSTITUTE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CANCER CONTROL; CANCER SURVIVAL; CELL DIFFERENTIATION; CELL POPULATION; CELL SURVIVAL; CONTROLLED STUDY; HUMAN; HYPOXIC CELL; LINEAR QUADRATIC; MATHEMATICAL PARAMETERS; OXYGEN ENHANCEMENT RATIO; OXYGENATION; PRIORITY JOURNAL; PROBABILITY; RADIOSENSITIVITY; SURVIVAL RATE; TREATMENT OUTCOME; TUMOR CONTROL PROBABILITY; UNIVERSAL SURVIVAL CURVE; ALGORITHM; BIOLOGICAL MODEL; CELL HYPOXIA; COMPARATIVE STUDY; NEOPLASMS; OXYGEN CONSUMPTION; PATHOPHYSIOLOGY; PHYSIOLOGY; POISSON DISTRIBUTION; RADIATION DOSE; RADIATION DOSE FRACTIONATION; RADIATION RESPONSE; RADIOSURGERY; STATISTICAL MODEL; CANCER RADIOTHERAPY; HUMAN CELL; LINEAR QUADRATIC MODEL; MATHEMATICAL MODEL; ONCOLOGICAL PARAMETERS; PREDICTION; REOXYGENATION; STEREOTACTIC BODY RADIATION THERAPY; TUMOR OXYGENATION; UNIVERSAL SURVIVAL CURVE MODEL;

ALGORITHMS; CELL HYPOXIA; CELL SURVIVAL; DOSE FRACTIONATION; LINEAR MODELS; MODELS, BIOLOGICAL; NEOPLASMS; OXYGEN CONSUMPTION; POISSON DISTRIBUTION; PROBABILITY; RADIATION TOLERANCE; RADIOSURGERY;

EID: 84906568240     PISSN: 0284186X     EISSN: 1651226X     Source Type: Journal    
DOI: 10.3109/0284186X.2014.925582     Document Type: Article

References (23)

1. Barendsen GW. Dose fractionation, dose rate and iso-effect relationships for normal tissue responses. Int J Radiat Oncol Biol Phys 1982;8:1981-97
2. Brenner DJ. The linear-quadratic model is an appropriate methodology for determining isoeffective doses at large doses per fraction. Semin Radiat Oncol 2008;18:234-9
3. Kirkpatrick JP, Meyer JJ, Marks LB. The linear-quadratic model is inappropriate to model high dose per fraction effects in radiosurgery. Semin Radiat Oncol 2008;18:240-3
4. Kirkpatrick JP, Brenner DJ, Orton CG. Point/Counterpoint. The linear-quadratic model is inappropriate to model high dose per fraction effects in radiosurgery. Med Phys 2009;36: 3381-4
5. Park C, Papiez L, Zhang S, Story M, Timmerman RD. Universal survival curve and single fraction equivalent dose: Useful tools in understanding potency of ablative radiotherapy. Int J Radiat Oncol Biol Phys 2008;70:847-52
6. Hall EJ, Giaccia AJ. Radiobiology for the radiologist, 6th ed. Philadelphia: Lippincott/Williams & Wilkins; 2006
7. Wennberg BM, Baumann P, Gagliardi G, Nyman J, Drugge N, Hoyer M, et al. NTCP modelling of lung toxicity after SBRT comparing the universal survival curve and the linear quadratic model for fractionation correction. Acta Oncol 2011;50:518-27
8. Wennberg B, Lax I. The impact of fractionation in SBRT: Analysis with the linear quadratic model and the universal survival curve model. Acta Oncol 2013;52:902-909
9. Toma-Dasu I, Dasu A. Modelling tumour oxygenation, reoxygenation and implications on treatment outcome. Comput Math Methods Med 2013;2013:141087
10. Daşu A, Toma-Daşu I, Karlsson M. Theoretical simulation of tumour oxygenation and results from acute and chronic hypoxia. Phys Med Biol 2003;48:2829-42
11. Daşu A, Toma-Daşu I, Karlsson M. The effects of hypoxia on the theoretical modelling of tumour control probability. Acta Oncol 2005;44:563-71
12. Toma-Daşu I, Daşu A, Brahme A. Dose prescription and optimisation based on tumour hypoxia. Acta Oncol 2009; 48:1181-92
13. Alper T. Cellular radiobiology. Cambridge, UK: Cambridge University Press; 1979
14. Daşu A, Toma-Daşu I. Prostate alpha/beta revisited-An analysis of clinical results from 14 168 patients. Acta Oncol 2012;51:963-74
15. Ljungkvist AS, Bussink J, Kaanders JH, Wiedenmann NE, Vlasman R, Van Der Kogel AJ. Dynamics of hypoxia, proliferation and apoptosis after irradiation in a murine tumour model. Rad Res 2006;165:326-36
16. Ljungkvist AS, Bussink J, Kaanders JH, Rijken PF, Begg AC, Raleigh JA, et al. Hypoxic cell turnover in different solid tumor lines. Int J Rad Oncol Biol Phys 2005;62: 1157-68
17. Lax I, Blomgren H, Näslund I, Svanström R. Stereotactic radiotherapy of malignancies in the abdomen. Acta Oncol 1994;33:677-83
18. Blomgren H, Lax I, Näslund I, Svanström R. Stereotactic high dose fraction radiation therapy of extracranial tumours using an accelerator. Acta Oncol 1995;34:861-70
19. Høyer M, Muren LP. Stereotactic body radiation therapy-A discipline with Nordic origin and profile. Acta Oncol 2012;51:564-7
20. Chang UK, Cho WI, Kim MS, Cho CK, Lee DH, Rhee CH. Local control after retreatment of spinal metastasis using stereotactic body radiotherapy; comparison with initial treatment group. Acta Oncol 2012;51: 589-95
21. Scorsetti M, Alongi F, Filippi AR, Pentimalli S, Navarria P, Clerici E, et al. Long-Term local control achieved after hypofractionated stereotactic body radiotherapy for adrenal gland metastases: A retrospective analysis of 34 patients. Acta Oncol 2012;51:618-23
22. Fowler J. Linear quadratics is alive and well: In regard to Park et al. (Int J Radiat Oncol Biol Phys 2008;70:847-52). Int J Radiat Oncol Biol Phys 2008;72:957-9
23. McKenna F, Ahmad S. Toward a unified survival curve: In regard to Kavanagh and Newman (Int J Radiat Oncol Biol Phys 2008;71:958-9) and Park et al. (Int J Radiat Oncol Biol Phys 2008;70:847-52). Int J Radiat Oncol Biol Phys 2009;73:640