PURPOSE: To estimate and reduce uncertainties of a self-consistent set of radiobiological parameters based on the outcome of head and neck cancer (HNC) patients treated with radiotherapy (RT). METHODS: Published studies comparing at least two RT schedules for HNC patients were selected. The method used to estimate the radiobiological parameters consists of three sequential steps that allow a significant reduction of uncertainties: the first, in which the intrinsic (α) and the repair (β) radio-sensitivities were estimated together with the doubling time (T d) by an analytical/graphical method; the second, in which the kick-off time for accelerated proliferation (T k) was estimated applying the hypothesis of activation for sub-populations of stem cells during the RT; the third, in which the number of clonogens (N) was obtained by the Tumor Control Probability (TCP) model. Independent clinical data were used to validate results. RESULTS: The best estimate and the 95 % confidence intervals (95 % CIs) were: α = 0.24 Gy(-1) (0.23-0.26), β = 0.023 Gy(-2) (0.021-0.025), α/β = 10.6 Gy (8.4-12.6), T d = 3.5 days (3.1-3.9), T k = 19.2 days (15.1-23.3), N = 7 × 10(7) (4 × 10(7)-1 × 10(8)). From these data, the dose required to offset repopulation occurring in 1 day (D prolif) and starting after T k was also estimated as 0.69 Gy/day (0.52-0.86). CONCLUSIONS: The estimation of all the radiobiological parameters of HNC was obtained based on the hypothesis of activation for specifically tumorigenic sub-populations of stem cells. The similarity of results to those from other studies strengthens such a hypothesis that could be very useful for the predictivity of the TCP model and to design new treatment strategies for HNC.
PURPOSE: To estimate and reduce uncertainties of a self-consistent set of radiobiological parameters based on the outcome of head and neck cancer (HNC) patients treated with radiotherapy (RT). METHODS: Published studies comparing at least two RT schedules for HNC patients were selected. The method used to estimate the radiobiological parameters consists of three sequential steps that allow a significant reduction of uncertainties: the first, in which the intrinsic (α) and the repair (β) radio-sensitivities were estimated together with the doubling time (T d) by an analytical/graphical method; the second, in which the kick-off time for accelerated proliferation (T k) was estimated applying the hypothesis of activation for sub-populations of stem cells during the RT; the third, in which the number of clonogens (N) was obtained by the Tumor Control Probability (TCP) model. Independent clinical data were used to validate results. RESULTS: The best estimate and the 95 % confidence intervals (95 % CIs) were: α = 0.24 Gy(-1) (0.23-0.26), β = 0.023 Gy(-2) (0.021-0.025), α/β = 10.6 Gy (8.4-12.6), T d = 3.5 days (3.1-3.9), T k = 19.2 days (15.1-23.3), N = 7 × 10(7) (4 × 10(7)-1 × 10(8)). From these data, the dose required to offset repopulation occurring in 1 day (D prolif) and starting after T k was also estimated as 0.69 Gy/day (0.52-0.86). CONCLUSIONS: The estimation of all the radiobiological parameters of HNC was obtained based on the hypothesis of activation for specifically tumorigenic sub-populations of stem cells. The similarity of results to those from other studies strengthens such a hypothesis that could be very useful for the predictivity of the TCP model and to design new treatment strategies for HNC.
Authors: Bernard Cummings; Thomas Keane; Melania Pintilie; Padraig Warde; John Waldron; David Payne; Fei-Fei Liu; Randy Bissett; Michael McLean; Patrick Gullane; Brian O'Sullivan Journal: Radiother Oncol Date: 2007-10 Impact factor: 6.280
Authors: H K Awwad; M Lotayef; T Shouman; A C Begg; G Wilson; S M Bentzen; H Abd El-Moneim; S Eissa Journal: Br J Cancer Date: 2002-02-12 Impact factor: 7.640
Authors: Helge Henjum; Tordis J Dahle; Lars Fredrik Fjæra; Eivind Rørvik; Sara Pilskog; Camilla H Stokkevåg; Andrea Mairani; Kristian S Ytre-Hauge Journal: Adv Radiat Oncol Date: 2021-08-17