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Radiobiologic Parameters and Local Effect Model Predictions for Head-and-Neck Squamous Cell Carcinomas Exposed to High Linear Energy Transfer Ions

Journal Article · · International Journal of Radiation Oncology, Biology and Physics
 [1];  [2];  [2];  [1];  [2];  [3];  [4]; ;  [1];  [2]
  1. IPNL, LIRIS, IN2P3, Universite Lyon 1, Villeurbanne (France)
  2. Laboratoire de Radiobiologie Cellulaire et Moleculaire, EA3738, Faculte de Medecine Lyon-Sud, Universite Lyon 1, Universite de Lyon, Oullins (France)
  3. Hospices Civils de Lyon, Centre Hospitalier Lyon-Sud, Pierre Benite (France)
  4. CIRIL, Caen (France)

Purpose: To establish the radiobiologic parameters of head-and-neck squamous cell carcinomas (HNSCC) in response to ion irradiation with various linear energy transfer (LET) values and to evaluate the relevance of the local effect model (LEM) in HNSCC. Methods and Materials: Cell survival curves were established in radiosensitive SCC61 and radioresistant SQ20B cell lines irradiated with [33.6 and 184 keV/n] carbon, [302 keV/n] argon, and X-rays. The results of ion experiments were confronted to LEM predictions. Results: The relative biologic efficiency ranged from 1.5 to 4.2 for SCC61 and 2.1 to 2.8 for SQ20B cells. Fixing an arbitrary D{sub 0} parameter, which characterized survival to X-ray at high doses (>10 Gy), gave unsatisfying LEM predictions for both cell lines. For D{sub 0} = 10 Gy, the error on survival fraction at 2 Gy amounted to a factor of 10 for [184 keV/n] carbon in SCC61 cells. We showed that the slope (s{sub max}) of the survival curve at high doses was much more reliable than D{sub 0}. Fitting s{sub max} to 2.5 Gy{sup -1} gave better predictions for both cell lines. Nevertheless, LEM could not predict the responses to fast and slow ions with the same accuracy. Conclusions: The LEM could predict the main trends of these experimental data with correct orders of magnitude while s{sub max} was optimized. Thus the efficiency of carbon ions cannot be simply extracted from the clinical response of a patient to X-rays. LEM should help to optimize planning for hadrontherapy if a set of experimental data is available for high-LET radiations in various types of tumors.

OSTI ID:
21124299
Journal Information:
International Journal of Radiation Oncology, Biology and Physics, Journal Name: International Journal of Radiation Oncology, Biology and Physics Journal Issue: 2 Vol. 71; ISSN IOBPD3; ISSN 0360-3016
Country of Publication:
United States
Language:
English

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