نتایج جستجو برای: monte carlo prostate cancer primo
تعداد نتایج: 1005071 فیلتر نتایج به سال:
prostate cancer is the most common cancer in america and canada, and is the sixth most common cancer worldwide. dietary factors play an important role in prostate cancer development; one of them is dietary fat, particularly pufa intake. thus, this study aimed to review the current articles on the correlation between pufa and prostate cancer. we searched the pubmed database, and selected article...
Spatial scan statistics are widely used for count data to detect geographical disease clusters of high or low incidence, mortality or prevalence and to evaluate their statistical significance. Some data are ordinal or continuous in nature, however, so that it is necessary to dichotomize the data to use a traditional scan statistic for count data. There is then a loss of information and the choi...
The prostate is a small gland located below the bladder and upper part of the urethra. In developed countries prostate cancer is the second common cancer (after skin cancer), and also the second leading cause of cancer death (after lung cancer) among men. The several studies have been shown prostate cancer familial aggregation. The main reason for this aggregation is inheritance included genes....
despite the high rate of prostate cancer, the incidence of penile metastasis originating from prostate cancer is extremely rare, especially in the form of peyronie’s disease. moreover, brain metastasis, which is caused by prostate cancer, is not a common phenomenon and occurs mostly in older patients. herein, we report a case of a middle-aged man with penile and brain metastasis originating fro...
Kinetic Monte Carlo simulation was applied to investigation of kinetics and mechanism of oxalic acid degradation by direct and heterogeneous catalytic ozonation. La-containing perovskites including LaFeO3, LaNiO3, LaCoO3 and LaMnO3 was studied as catalyst for oxalic acid ozonation. The reaction kinetic mechanisms of each abovementioned catalytic systems has been achieved. The rate constants val...
BACKGROUND Incidence density sampling is typically the least biased efficient method for control sampling in nested case-control studies. However, in studies of genetic variants and prostate cancer progression, some argue that controls should be sampled from men who did not progress by end of follow-up. Thus, we examined the validity of relative risk (RR) estimates of prostate cancer progressio...
objective: prostate cancer is the fifth most common cancer. in 2012, it was the second leading cause of cancer death for men worldwide. the pi3k/akt pathway plays an essential role in pathogenesis of prostate cancer; the key role of this pathway in cancer progression makes it an attractive target for prostate cancer therapy. micrornas (mirnas) that regulate gene expression have a special abilit...
Sequential Monte Carlo (SMC) samplers are an alternative to MCMC for Bayesian computation. However, their performance depends strongly on the Markov kernels used rejuvenate particles. We discuss how calibrate automatically (using current particles) Hamiltonian within SMC. To do so, we build upon adaptive SMC approach of Fearnhead and Taylor (2013), also suggest methods. illustrate advantages us...
Introduction: Prostatic specific antigen (PSA) is an excellent tumor marker, but it is not specific for prostate cancer. We evaluated the accuracy of PSA adjusted for transition zone volume calculated by transrectal ultrasonography in predicting prostate cancer in men compared with PSA density. Material and Methods: PSA adjusted for transition zone volume was obtained from 100 patients who u...
introduction: in recent decades, several monte carlo codes have been introduced for research and medical applications. these methods provide both accurate and detailed calculation of particle transport from linear accelerators. the main drawback of monte carlo techniques is the extremely long computing time that is required in order to obtain a dose distribution with good statistical accuracy. ...
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