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After our successful first Special Issue about bladder cancer, we proceeded with the second issue. Again, many international scientists submitted their newest research results in that extremely interesting field and followed our call for submissions. It is not only the collection and combination of old and new markers that could develop new possibilities, but also the focus on different classifications and sub-classifications that will unveil new ways in diagnostic and therapeutic approaches. It seems that the two established diagnostic tools will still play an important role, but new markers and diagnostics tools will present more detailed and more differentiated possibilities in the treatm...
Bladder cancer is one of the most common urological diseases with a high mortality rate and poor prognosis. It is currently ranked as the 10th most common malignancy worldwide. The majority of bladder cancer patients have been found to be diagnosed with non-muscle invasive bladder cancer (NMIBC) and the remaining, are diagnosed with muscle-invasive bladder cancer (MIBC). Although there have been advances in the treatment and therapies provided for bladder cancer patients, the survival rate remains low, primarily due to recurrence and metastasis of the disease following treatment. Surgical treatment is currently the most common form including radical cystectomy which is the standard form of t...
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At present there are a growing number of biomolecules under investigation to understand their potential role as cancer biomarker for diagnostic, prognostic and therapeutic purposes. Intriguingly, the state of art on cancer biomarkers research shows interesting and promising results together to clamorous failures. Also from a clinical point of view, there are contradictory results on routine clinical use of the present cancer biomarkers. Some patients may be simply monitored in their course by a periodic blood sample, but sometimes this monitoring shows dramatic limits. A lot of patients show serious and extensive relapses without significant change in serum concentrations of biomarkers teste...
• Applications of Information Theory to Epidemiology collects recent research findings on the analysis of diagnostic information and epidemic dynamics. • The collection includes an outstanding new review article by William Benish, providing both a historical overview and new insights. • In research articles, disease diagnosis and disease dynamics are viewed from both clinical medicine and plant pathology perspectives. Both theory and applications are discussed. • New theory is presented, particularly in the area of diagnostic decision-making taking account of predictive values, via developments of the predictive receiver operating characteristic curve. • New applications of information theory to the analysis of observational studies of disease dynamics in both human and plant populations are presented.
This book is a printed edition of the Special Issue "Diagnostic, Prognostic and Predictive Biomarkers in Prostate Cancer" that was published in IJMS
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