Exact(3)
Purpose: To investigate the feasibility of intensity-modulated radiotherapy (IMRT) as a method of boost radiotherapy after the initial irradiation by the conventional anterior/posterior opposed beams for centrally located non small-cell lunon small-cellugh the evalungion of dose distributions acancerng throughvarious boostheevaluation
Some studies explored these EBRT boost methods in patients with locally advanced cervical or endometrial cancer, and reported that delivering a total dose of 54 81.2 Gy was well tolerated and efficacious [ 8- 12].
Because the treatment algorithm was slightly different across four clinics, and photon-field and boost method are considered the additional factors affecting toxicity to biologic dose, the Cox regression analysis was conducted adjusted for photon and boost methods, as well as stratified by clinic.
Similar(57)
Although household response rates were similar, individual response rates were lower using the London Boost method.
aHazard ratio adjusted for clinic, photon field, beam energy, and boost method; numbers vary because of missing data.
aHazard ratio adjusted for clinic, photon field, beam energy, boost method, BMI, smoking status, alcohol consumption, and hormone therapy; numbers vary because of missing data.
Predictors of toxicity were modelled using Cox regression models in relation to BED, with adjustment for treating clinic, photon field, beam energy and boost method, and potential confounding variables.
The Boost method worked better in less deprived areas, while the HSE performed better in slightly more deprived areas (but there was no significant difference in the most deprived areas).
This may be due to features of London that are particularly associated with lower response rates for the self-completion element of the Boost method, such as the multi-lingual population.
In an area where literacy levels in the survey language are generally adequate, using the Boost method can provide similar response rates at lower costs than face-to-face interviews, enabling larger sample sizes for the same costs.
Bartlett has contributed to many areas of statistical learning theory, including large margin classifiers, boosting methods, kernel methods, reinforcement learning, Rademacher averages, online learning methods, and neural networks.
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