New PDF release: Active Surveillance for Localized Prostate Cancer: A New

By Laurence Klotz M.D., F.R.C.S.C. (auth.), Laurence Klotz (eds.)

ISBN-10: 1617799114

ISBN-13: 9781617799112

ISBN-10: 1617799122

ISBN-13: 9781617799129

Active Surveillance for Localized Prostate melanoma: a brand new Paradigm for medical administration will function an invaluable source for physicians facing, and attracted to, this advanced and evolving department of prostate melanoma administration. The e-book may also be of curiosity to scientifically literate sufferers and their households. the quantity offers an advent to the concept that of lively surveillance in oncology as a rule and prostate melanoma particularly. the first concentration is to supply a complete consultant to the administration of sufferers on surveillance. the quantity covers the various complexities and nuances to this process together with, sufferer choice, probability evaluation, tips to conquer 'cancer hysteria' while counseling sufferers, selecting acceptable triggers for intervention, use of PSA kinetics and MR imaging info, process and frequency of biopsies, secondary prevention interventions, and the relative roles of surveillance and focal therapy.

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3 Predicting High-Risk Disease Using Tissue Biomarkers 2. Yatani R, Kusano I, Shiraishi T, Hayashi T, Stemmermann GN. Latent prostatic carcinoma: pathological and epidemiological aspects. Jpn J Clin Oncol. 1989;19:319–26. 3. Abate-Shen C, Shen MM, Gelmann E. 1 homeobox gene in prostate organogenesis and carcinogenesis. Differentiation. 2008;76:717–27. 4. Lei Q, Jiao J, Xin L, Chang CJ, Wang S, Gao J, Gleave ME, Witte ON, Liu X, Wu H. 1 stabilizes p53, inhibits AKT activation, and blocks prostate cancer initiation caused by PTEN loss.

For each biomarker, an intensity threshold strategy is applied which incorporates pathologist-assisted, mathematical models to determine optimal expression levels as a function of image background characteristics. Normalization methods have been developed to adjust for variable tumor content between patient samples. The H&E and IF analyses generate several hundred tumorspecific features which are then evaluated using a univariate concordance index with respect to outcome and their association with known, perceived biological function.

60. Suardi N, Capitanio U, Chun FK, et al. Currently used criteria for active surveillance in men with lowrisk prostate cancer: an analysis of pathologic features. Cancer. 2008 Oct 15;113(8):2068–72. 61. Magheli A, Hinz S, Hege C, et al. Prostate specific antigen density to predict prostate cancer upgrading in a contemporary radical prostatectomy series: a single center experience. J Urol. 2010 Jan;183(1):126–31. 62. Kulkarni GS, Lockwood G, Evans A, et al. Clinical predictors of Gleason score upgrading: implications for patients considering watchful waiting, active surveillance, or brachytherapy.

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Active Surveillance for Localized Prostate Cancer: A New Paradigm for Clinical Management by Laurence Klotz M.D., F.R.C.S.C. (auth.), Laurence Klotz (eds.)


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