Global ETD Search

11	An investigation of the interaction of the novel bioreductive drug AQ4N with radiation and cancer chemotherapy drugs Friery, Orla January 1996 (has links) No description available. 615.1 Radiotherapy
12	Proliferation and function in normal and peturbed mouse kidney following irradiation Soranson, Julie Anne January 1990 (has links) No description available. 572.8 Radiotherapy
13	Effects of radiation on the structure and vasculature of the small intestinal villus Abbas, Babar January 1990 (has links) No description available. 571.45 Radiotherapy
14	Quantitative MR imaging in planning and assessing novel cancer treatments Baustert, Isabelle Catherine January 2001 (has links) No description available. 616 Radiotherapy
15	Radiotherapy in cancer care: estimating the optimal utilization from a review of evidence-based clinical guidelines. Delaney, Geoffrey, South-west Sydney Clinical School, UNSW January 2007 (has links) Introduction: Radiotherapy utilization rates for cancer vary widely internationally. It has previously been suggested that approximately 50% of all cancer patients should receive radiation. However, this estimate was not evidence-based. The aim of this study was to estimate the ideal proportion of new cases of cancer that should receive radiotherapy at least once during the course of their illness based on the best available evidence. Materials and Methods: An optimal radiotherapy utilization tree was constructed for each cancer based upon indications for radiotherapy taken from evidence-based treatment guidelines. The proportion of patients with clinical attributes that indicated a possible benefit from radiotherapy was obtained by adding epidemiological data to the radiotherapy utilization tree. The optimal proportion of patients with cancer that should receive radiotherapy was then calculated using TreeAge software. Sensitivity analyses using univariate analysis and Monte Carlo simulations were performed. Results: The proportion of patients with cancer in whom external beam radiotherapy is indicated according to the best available evidence was calculated to be 52%. Monte Carlo analysis indicated that the 95% confidence limits were from 51.7% to 53.1%. The tightness of the confidence interval suggests that the overall estimate is robust. Comparison with actual radiotherapy utilization data suggests a shortfall in actual radiotherapy delivery. Conclusion: This methodology allows comparison of optimal rates with actual rates to identify areas where improvements in the evidence-based use of radiotherapy can be made. It provides valuable data for radiotherapy service planning. Actual rates need to be addressed to ensure better radiotherapy utilization. Radiotherapy. Cancer.
16	Radiotherapy film densitometry using a slow-scan, cooled, digital CCD imaging system Burch, Sandra Esther 08 1900 (has links) No description available. Densitometry Radiotherapy
17	Radiotherapy in cancer care: estimating the optimal utilization from a review of evidence-based clinical guidelines. Delaney, Geoffrey, South-west Sydney Clinical School, UNSW January 2007 (has links) Introduction: Radiotherapy utilization rates for cancer vary widely internationally. It has previously been suggested that approximately 50% of all cancer patients should receive radiation. However, this estimate was not evidence-based. The aim of this study was to estimate the ideal proportion of new cases of cancer that should receive radiotherapy at least once during the course of their illness based on the best available evidence. Materials and Methods: An optimal radiotherapy utilization tree was constructed for each cancer based upon indications for radiotherapy taken from evidence-based treatment guidelines. The proportion of patients with clinical attributes that indicated a possible benefit from radiotherapy was obtained by adding epidemiological data to the radiotherapy utilization tree. The optimal proportion of patients with cancer that should receive radiotherapy was then calculated using TreeAge software. Sensitivity analyses using univariate analysis and Monte Carlo simulations were performed. Results: The proportion of patients with cancer in whom external beam radiotherapy is indicated according to the best available evidence was calculated to be 52%. Monte Carlo analysis indicated that the 95% confidence limits were from 51.7% to 53.1%. The tightness of the confidence interval suggests that the overall estimate is robust. Comparison with actual radiotherapy utilization data suggests a shortfall in actual radiotherapy delivery. Conclusion: This methodology allows comparison of optimal rates with actual rates to identify areas where improvements in the evidence-based use of radiotherapy can be made. It provides valuable data for radiotherapy service planning. Actual rates need to be addressed to ensure better radiotherapy utilization. Radiotherapy. Cancer.
18	Radiotherapy in cancer care: estimating the optimal utilization from a review of evidence-based clinical guidelines. Delaney, Geoffrey, South-west Sydney Clinical School, UNSW January 2007 (has links) Introduction: Radiotherapy utilization rates for cancer vary widely internationally. It has previously been suggested that approximately 50% of all cancer patients should receive radiation. However, this estimate was not evidence-based. The aim of this study was to estimate the ideal proportion of new cases of cancer that should receive radiotherapy at least once during the course of their illness based on the best available evidence. Materials and Methods: An optimal radiotherapy utilization tree was constructed for each cancer based upon indications for radiotherapy taken from evidence-based treatment guidelines. The proportion of patients with clinical attributes that indicated a possible benefit from radiotherapy was obtained by adding epidemiological data to the radiotherapy utilization tree. The optimal proportion of patients with cancer that should receive radiotherapy was then calculated using TreeAge software. Sensitivity analyses using univariate analysis and Monte Carlo simulations were performed. Results: The proportion of patients with cancer in whom external beam radiotherapy is indicated according to the best available evidence was calculated to be 52%. Monte Carlo analysis indicated that the 95% confidence limits were from 51.7% to 53.1%. The tightness of the confidence interval suggests that the overall estimate is robust. Comparison with actual radiotherapy utilization data suggests a shortfall in actual radiotherapy delivery. Conclusion: This methodology allows comparison of optimal rates with actual rates to identify areas where improvements in the evidence-based use of radiotherapy can be made. It provides valuable data for radiotherapy service planning. Actual rates need to be addressed to ensure better radiotherapy utilization. Radiotherapy. Cancer.
19	Radiotherapy in cancer care: estimating the optimal utilization from a review of evidence-based clinical guidelines. Delaney, Geoffrey, South-west Sydney Clinical School, UNSW January 2007 (has links) Introduction: Radiotherapy utilization rates for cancer vary widely internationally. It has previously been suggested that approximately 50% of all cancer patients should receive radiation. However, this estimate was not evidence-based. The aim of this study was to estimate the ideal proportion of new cases of cancer that should receive radiotherapy at least once during the course of their illness based on the best available evidence. Materials and Methods: An optimal radiotherapy utilization tree was constructed for each cancer based upon indications for radiotherapy taken from evidence-based treatment guidelines. The proportion of patients with clinical attributes that indicated a possible benefit from radiotherapy was obtained by adding epidemiological data to the radiotherapy utilization tree. The optimal proportion of patients with cancer that should receive radiotherapy was then calculated using TreeAge software. Sensitivity analyses using univariate analysis and Monte Carlo simulations were performed. Results: The proportion of patients with cancer in whom external beam radiotherapy is indicated according to the best available evidence was calculated to be 52%. Monte Carlo analysis indicated that the 95% confidence limits were from 51.7% to 53.1%. The tightness of the confidence interval suggests that the overall estimate is robust. Comparison with actual radiotherapy utilization data suggests a shortfall in actual radiotherapy delivery. Conclusion: This methodology allows comparison of optimal rates with actual rates to identify areas where improvements in the evidence-based use of radiotherapy can be made. It provides valuable data for radiotherapy service planning. Actual rates need to be addressed to ensure better radiotherapy utilization. Radiotherapy. Cancer.
20	Synthesis of organic compounds for nuclide therapy : derivatives of carboranes, 9-aminoacridine and anthracyclines / Ghirmai, Senait, January 1900 (has links) Diss. (sammanfattning) Uppsala : Univ., 2004. / Härtill 5 uppsatser. Radiotherapy. Strålbehandling.

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