Hypofractionation in non-small cell lung cancer (NSCLC): Suggestions from modelling both acute and chronic hypoxia

Physics in Medicine and Biology

Volumn 49, Issue 20, 2004, Pages 4811-4823

  Ruggieri, Ruggero ^a  

^a BIANCHI MELACRINO MORELLI HOSPITAL   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; OXYGENATORS; PULMONARY DISEASES; RADIOTHERAPY;

HYPOFRACTIONATION; NON-SMALL CELL LUNG CANCER (NSCLC);

TUMORS;

ACUTE DISEASE; ARTICLE; CANCER CONTROL; CANCER RADIOTHERAPY; CHRONIC DISEASE; CONTROLLED STUDY; HUMAN; HUMAN CELL; HYPOXIA; LUNG NON SMALL CELL CANCER; OXYGEN ENHANCEMENT RATIO; PRIORITY JOURNAL; PROBABILITY; RADIATION DOSE DISTRIBUTION; RADIATION DOSE FRACTIONATION; RADIATION MEASUREMENT; REOXYGENATION; STATISTICAL MODEL; STATISTICAL PARAMETERS; STEREOTAXIS;

ACUTE DISEASE; ANIMALS; CARCINOMA, NON-SMALL-CELL LUNG; CELL HYPOXIA; CELL PROLIFERATION; CELL SURVIVAL; CHRONIC DISEASE; COMPUTER SIMULATION; DOSE FRACTIONATION; DOSE-RESPONSE RELATIONSHIP, RADIATION; HUMANS; LUNG NEOPLASMS; MODELS, BIOLOGICAL; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME; TUMOR STEM CELL ASSAY;

EID: 7244221545     PISSN: 00319155     EISSN: None     Source Type: Journal    
DOI: 10.1088/0031-9155/49/20/011     Document Type: Article

References (40)

1. Baudelet C et al 2004 Physiological noise in murine solid tumours using T2*-weighted gradient-echo imaging: a marker of tumour acute hypoxia? Phys. Med. Biol. 49 3389-411
2. Belderbos J S et al 2003 First results of a phase I/II dose escalation trial in non-small cell lung cancer using three-dimensional conformal radiotherapy Radiother. Oncol. 66 119-26
3. Blomgren H et al 1995 Stereotactic high dose fractionation radiation therapy of extracranial tumors using an accelerator Acta Oncol. 34 861-70
4. Brahme A 1984 Dosimetric precision requirements in radiation therapy Acta Radiol. Oncol. 23 379-91
5. Brenner D J 1993 Dose, volume and tumor-control predictions in radiotherapy Int. J. Radiat. Oncol. Biol. Phys. 26 171-9
6. Brown J M 1979 Evidence for acutely hypoxic cells in mouse tumours and a possible mechanism of reoxygenation Br. J. Radiol. 52 650-6
7. 2 fluctuations in human melanoma xenografts Int. J. Radiat. Oncol. Biol. Phys. 58 403-9
8. Dasu A, Toma-Dasu I and Fowler J F 2003 Should single or distributed parameters be used to explain the steepness of tumor control probability curves? Phys. Med. Biol. 48 387-97
9. Denekamp, J, McNally N J and Wilson G D 1989 3rd Int. Conf. on Dose, Time and Fractionation: Prediction of Response in Radiation Therapy ed B R Paliwal (New York: American Institute of Physics) pp 177-98
10. 2 of R3230AC tumors in Fischer-344 rats Int. J. Radiat. Oncol. Biol. Phys. 42 723-6
11. Durand R E and Sham E 1998 The lifetime of hypoxic human tumour cells Int. J. Radiat. Oncol. Biol. Phys. 42 711-5
12. Fowler J F 1989 The linear-quadratic formula and progress in fractionated radiotherapy Br. J. Radiol. 62 679-94
13. Fowler J F 1991 Rapid repopulation in radiotherapy: a debate on mechanism. The phantom of tumor treatment-continually rapid proliferation unmasked Radiother. Oncol. 22 156-8
14. Fowler J F and Chappell R 2000 Non small cell lung tumors repopulate rapidly during radiation therapy Int. J. Radiat. Oncol. Biol. Phys. 46 516-7
15. Hall E J 2000 Radiobiology for the Radiologist 5th edn (Philadelphia: Lippincott Williams & Wilkins) pp 91-111
16. Hoban P W, Jones L C and Clark B G 1998 Modeling late effects in hypofractionated stereotactic radiotherapy Int. J. Radiat. Oncol. Biol. Phys. 43 199-210
17. Hockel M et al 1996 Hypoxia and radiation response in human tumours Semin. Radiat. Oncol. 6 3-9
18. Janssen H L K et al 2002 HIF-1A, pimonidazole, and iododeoxyuridine to estimate hypoxia and perfusion in human head-and-neck tumors Int. J. Radiat. Oncol. Biol. Phys. 54 1537-49
19. 2 on tumor radiosensitivity Int. J. Radiat. Oncol. Biol. Phys. 59 822-33
20. Kutcher G J and Burman C 1989 Calculation of complication probability factors for non-uniform normal tissue irradiation: the effective volume method Int. J. Radiat. Oncol. Biol. Phys. 16 1623-30
21. Kwa S L et al 1998a Radiation pneumonitis as a function of mean lung dose: an analysis of pooled data of 540 patients Int. J. Radiat. Oncol. Biol. Phys. 42 1-9
22. Kwa S L S et al 1998b Evaluation of two dose-volume histograms reduction models for the prediction of radiation pneumonitis Radiother. Oncol. 48 61-9
23. Ljungkvist A S E et al 2002 Vascular architecture, hypoxia and proliferation in first-generation xenografts of human head-and-neck squamous cell carcinomas Int. J. Radiat. Oncol. Biol. Phys. 54 215-28
24. Martel M K et al 1999 Estimation of tumor control probability model parameters from 3-D dose distribution of non-small cell lung cancer patients Lung Cancer 24 31-7
25. Metha M et al 2001 A new approach to dose escalation in non-small-cell lung cancer Int. J. Radiat. Oncol. Biol. Phys. 49 23-33
26. Moiseenko V et al 2003 Dose-volume analysis of lung complications in the radiation treatment of malignant thymoma: a retrospective review Radiother. Oncol. 67 265-74
27. Nahum A E et al 2003 Incorporating clinical measurements of hypoxia into tumour local control modeling of prostate cancer: implications for the α/β ratio Int. J. Radiat. Oncol. Biol. Phys. 57 391-401
28. Nahum A E and Sanchez-Nieto B 2001 Tumor control probability modeling: basic principles and applications in treatment planning Phys. Med. 17 13-23
29. Nakamura K and Brahme A 1999 Evaluation of fractionation regimens in stereotactic radiotherapy using a mathematical model of repopulation and reoxygenation Rad. Med. 17 219-25
30. Popple R A, Ove R and Shen S 2002 Tumor control probability for selective boosting of hypoxic subvolumes, including the effect of reoxygenation Int. J. Radiat. Oncol. Biol. Phys. 54 921-7
31. 18F] fluoromisonidazole: a pretherapy study of 37 patients Int. J. Radiat. Oncol. Biol. Phys. 36 417-28
32. Roberts S A and Hendry J H 1998 A realistic closed-form radiobiological model of clinical tumor-control data incorporating intertumor heterogeneity Int. J. Radiat. Oncol. Biol. Phys. 41 689-99
33. Rofstad E K and Maseide K 1999 Radiobiological and immunohistochemical assessment of hypoxia in human melanoma xenografts: acute and chronic hypoxia in individual tumours Int. J. Radiat. Biol. 75 1377-93
34. Shibamoto Y et al 2004 Recovery from sublethal damage during intermittent exposures in cultured tumor cells: implications for dose modification in radiosurgery and IMRT Int. J. Radiat. Oncol. Biol. Phys. 59 1484-90
35. Suwinski R, Taylor J M G and Whiters H R 1999 The effect of heterogeneity in tumor cell kinetics on radiation dose-response. An exploratory investigation of a plateau effect Radiother. Oncol. 50 57-66
36. Thirion P et al 2004 Escalated dose for non-small-cell lung cancer with accelerated hypofractionated three-dimensional conformal radiation therapy Radiother. Oncol. 71 163-6
37. Thomlinson R H and Gray L H 1955 The histological structure of some human lung cancers and the possible implications for radiotherapy Br. J. Cancer 9 539-49
38. Vordermark D, Menke D R and Brown J M 2003 Similar radiation sensitivities of acutely and chronically hypoxic cells in HT 1080 fibrosarcoma xenografts Radiat. Res. 159 94-101
39. 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
40. Wein L M, Cohen J E and Wu J T 2000 Dynamic optimization of a linear-quadratic model with incomplete repair and volume-dependent sensitivity and repopulation Int. J. Radiat. Oncol. Biol. Phys. 47 1073-83