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      Prognostic value of automated bone scan index for predicting overall survival among bone metastatic castration resistant prostate cancer patients treated with radium‐223

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          Abstract

          Introduction

          The objective of this study was to evaluate automated bone scan index (aBSI) as a prognostic biomarker for overall survival (OS) in bone‐metastatic, castration‐resistant prostate cancer (mCRPC) patients treated with radium‐223 (Ra‐223).

          Materials and methods

          We identified 42 men treated with Ra‐223 for mCRPC. We investigated aBSI as an independent prognostic factor by multivariate analysis. Moreover, we evaluated the prognostic value of the aBSI after 12 weeks after the first cycle of Ra‐223 administration and aBSI change from baseline to after 12 weeks (ΔBSI).

          Results

          Median baseline PSA and aBSI were 42.8 ng/mL and 1.5%, respectively. Median OS was 20.7 months. Multivariate analysis showed that baseline aBSI was a significant prognostic factor for OS. The aBSI at 12 weeks after first Ra‐223 administration also exhibited significant prognostic value for OS, while we found no evidence of prognostic value for ΔBSI.

          Conclusions

          Baseline aBSI may be a significant prognostic factor for OS in bone‐metastatic CRPC patients treated with Ra‐223.

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          Most cited references32

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          Investigation of the freely available easy-to-use software ‘EZR' for medical statistics

          Y Kanda (2012)
          Although there are many commercially available statistical software packages, only a few implement a competing risk analysis or a proportional hazards regression model with time-dependent covariates, which are necessary in studies on hematopoietic SCT. In addition, most packages are not clinician friendly, as they require that commands be written based on statistical languages. This report describes the statistical software ‘EZR' (Easy R), which is based on R and R commander. EZR enables the application of statistical functions that are frequently used in clinical studies, such as survival analyses, including competing risk analyses and the use of time-dependent covariates, receiver operating characteristics analyses, meta-analyses, sample size calculation and so on, by point-and-click access. EZR is freely available on our website (http://www.jichi.ac.jp/saitama-sct/SaitamaHP.files/statmed.html) and runs on both Windows (Microsoft Corporation, USA) and Mac OS X (Apple, USA). This report provides instructions for the installation and operation of EZR.
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            Epidemiology of Prostate Cancer

            Prostate cancer is the second most frequent cancer diagnosis made in men and the fifth leading cause of death worldwide. Prostate cancer may be asymptomatic at the early stage and often has an indolent course that may require only active surveillance. Based on GLOBOCAN 2018 estimates, 1,276,106 new cases of prostate cancer were reported worldwide in 2018, with higher prevalence in the developed countries. Differences in the incidence rates worldwide reflect differences in the use of diagnostic testing. Prostate cancer incidence and mortality rates are strongly related to the age with the highest incidence being seen in elderly men (> 65 years of age). African-American men have the highest incidence rates and more aggressive type of prostate cancer compared to White men. There is no evidence yet on how to prevent prostate cancer; however, it is possible to lower the risk by limiting high-fat foods, increasing the intake of vegetables and fruits and performing more exercise. Screening is highly recommended at age 45 for men with familial history and African-American men. Up-to-date statistics on prostate cancer occurrence and outcomes along with a better understanding of the etiology and causative risk factors are essential for the primary prevention of this disease.
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              The 2005 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma.

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                Author and article information

                Contributors
                miyoyasu@med.yokohama-cu.ac.jp
                Journal
                BJUI Compass
                BJUI Compass
                10.1002/(ISSN)2688-4526
                BCO2
                BJUI Compass
                John Wiley and Sons Inc. (Hoboken )
                2688-4526
                05 September 2020
                January 2021
                : 2
                : 1 ( doiID: 10.1002/bco2.v2.1 )
                : 24-30
                Affiliations
                [ 1 ] Department of Urology and Renal Transplantation Yokohama City University Medical Center Yokohama Japan
                [ 2 ] Department of Urology Yokohama City University School of Medicine Yokohama Japan
                Author notes
                [*] [* ] Correspondence

                Yasuhide Miyoshi, Department of Urology and Renal Transplantation, Yokohama City University Medical Center, 4‐57 Urafune‐cho, Minami‐ku, Yokohama, Kanagawa 2320024, Japan.

                Email: miyoyasu@ 123456med.yokohama-cu.ac.jp

                Author information
                https://orcid.org/0000-0001-8857-9798
                https://orcid.org/0000-0003-4216-9421
                https://orcid.org/0000-0002-4776-5188
                Article
                BCO243
                10.1002/bco2.43
                8988825
                35474664
                0d76fe84-e53f-47ca-af3e-69c32885534f
                © 2020 The Authors. BJUI Compass published by John Wiley & Sons Ltd on behalf of BJU International Company

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 August 2020
                : 08 June 2020
                : 19 August 2020
                Page count
                Figures: 4, Tables: 3, Pages: 0, Words: 11213
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                January 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.2 mode:remove_FC converted:30.03.2022

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