scholarly journals [P163] Dosimetric effects from high density markers for prostate cancer treatments

2018 ◽  
Vol 52 ◽  
pp. 145-146
Author(s):  
Marcus Krantz ◽  
Angela Lund ◽  
Roumiana Chakarova
Biostatistics ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 172-185 ◽  
Author(s):  
Pål Christie Ryalen ◽  
Mats Julius Stensrud ◽  
Sophie Fosså ◽  
Kjetil Røysland

Abstract In marginal structural models (MSMs), time is traditionally treated as a discrete parameter. In survival analysis on the other hand, we study processes that develop in continuous time. Therefore, Røysland (2011. A martingale approach to continuous-time marginal structural models. Bernoulli 17, 895–915) developed the continuous-time MSMs, along with continuous-time weights. The continuous-time weights are conceptually similar to the inverse probability weights that are used in discrete time MSMs. Here, we demonstrate that continuous-time MSMs may be used in practice. First, we briefly describe the causal model assumptions using counting process notation, and we suggest how causal effect estimates can be derived by calculating continuous-time weights. Then, we describe how additive hazard models can be used to find such effect estimates. Finally, we apply this strategy to compare medium to long-term differences between the two prostate cancer treatments radical prostatectomy and radiation therapy, using data from the Norwegian Cancer Registry. In contrast to the results of a naive analysis, we find that the marginal cumulative incidence of treatment failure is similar between the strategies, accounting for the competing risk of other death.


Author(s):  
Melissa K. Hyde ◽  
Melissa Opozda ◽  
Kirstyn Laurie ◽  
Andrew D. Vincent ◽  
John L. Oliffe ◽  
...  

2019 ◽  
Vol 17 (6) ◽  
pp. 527-537 ◽  
Author(s):  
Salma A M El Badri ◽  
Abdulazeez Salawu ◽  
Janet E Brown

Abstract Purpose of Review The improvement in prostate cancer survival over time, even in those with advanced disease, has led to an increasing recognition of the impact of prostate cancer and its treatment on bone health. Cancer treatment–induced bone loss (CTIBL) is a well-recognized entity but greater awareness of the risks associated with CTIBL and its treatment is required. Recent Findings The principal culprit in causing CTIBL is hormonal ablation induced by prostate cancer treatment, including several new agents which have been developed in recent years which significantly improve survival, but may cause CTIBL. This review discusses the impact of prostate cancer and its treatment on bone health, including published evidence on the underlying pathophysiology, assessment of bone health, and strategies for prevention and treatment. Summary It is important to recognize the potential cumulative impact of systemic prostate cancer treatments on bone health.


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