TY - JOUR
T1 - Radiosensitivity uncertainty evaluation for the in vitro biophysical modeling of EMT6 cells
AU - Oita, Masataka
AU - Uto, Yoshihiro
AU - Tominaga, Masahide
AU - Sasaki, Motoharu
AU - Hara, Yasuo
AU - Kishi, Taro
AU - Hori, Hitoshi
N1 - Publisher Copyright:
© 2014, International Institute of Anticancer Research. All rights reserved.
PY - 2014/8/1
Y1 - 2014/8/1
N2 - Background/Aim: The aims of this study were to evaluate the cell survival uncertainty distribution of radiation and to assess the accuracy of predictions of tumor response by using three different in vitro experimental cell cultures with radiosensitizers (including etanidazole). Materials and Methods: Using EMT6 cells and X-rays, the cell survival fraction was obtained from 15, 34, and 21 different experiments under normoxic, hypoxic, and hypoxic-plusradiosensitizer culture, respectively. Results: The αcoefficients were 0.257±0.188, 0.078±0.080, and 0.182±0.116 Gy-1, respectively. The β coefficients were 0.0159±0.0208, 0.0076±0.0113, and 0.0062±0.0077 Gy-2, respectively. The αcoefficient and the dose that killed half of the clonogens population (D50) were significantly different between normoxic cell and hypoxic cell cultures (p<0.01), respectively. The use of radiosensitizers under hypoxic conditions improved radiosensitivity. Conclusion: Our results suggest that parameter value distributions are required for biophysical modeling of applications for radiotherapy.
AB - Background/Aim: The aims of this study were to evaluate the cell survival uncertainty distribution of radiation and to assess the accuracy of predictions of tumor response by using three different in vitro experimental cell cultures with radiosensitizers (including etanidazole). Materials and Methods: Using EMT6 cells and X-rays, the cell survival fraction was obtained from 15, 34, and 21 different experiments under normoxic, hypoxic, and hypoxic-plusradiosensitizer culture, respectively. Results: The αcoefficients were 0.257±0.188, 0.078±0.080, and 0.182±0.116 Gy-1, respectively. The β coefficients were 0.0159±0.0208, 0.0076±0.0113, and 0.0062±0.0077 Gy-2, respectively. The αcoefficient and the dose that killed half of the clonogens population (D50) were significantly different between normoxic cell and hypoxic cell cultures (p<0.01), respectively. The use of radiosensitizers under hypoxic conditions improved radiosensitivity. Conclusion: Our results suggest that parameter value distributions are required for biophysical modeling of applications for radiotherapy.
KW - Biophysical modelling
KW - In vitro
KW - Radiosensitivity uncertainty
KW - Radiotherapy
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M3 - Article
C2 - 25075109
AN - SCOPUS:84908669475
SN - 0250-7005
VL - 34
SP - 4621
EP - 4626
JO - Anticancer Research
JF - Anticancer Research
IS - 8
ER -