1.Detection Rate of Prostate Cancer on the Basis of the Vienna Nomogram: A Singapore Study.
Jin Kiat TEO ; Beow Kiong POH ; Foo Cheong NG ; Yan Kit FONG
Korean Journal of Urology 2014;55(4):245-248
PURPOSE: The purpose of this study was to determine the efficacy of the Vienna nomogram prostate biopsy model in the detection of prostate cancer in our local population. We also assessed the incidence of complications from using such a template. MATERIALS AND METHODS: From January 2006 to June 2007, 120 men with either elevated prostate-specific antigen (PSA) scores (>4 ng/mL) and/or abnormal digital rectal examination were enrolled prospectively to undergo extraction of 6 to 18 cores for transrectal ultrasound-guided prostate biopsy, as indicated by the Vienna nomogram. RESULTS: The mean age was 62.6+/-8.3 years (range, 40-86 years). The mean PSA score was 13.42 ng/mL. The mean number of cores obtained was 9.68+/-3.1. According to the Vienna nomogram, 27 out of a total of 120 patients had prostate cancer, for a detection rate of 22.5%. In the group of patients with PSA scores <10 ng/mL, the detection rate was 14.9% (14 of 94 patients). The group of patients with PSA scores >10 ng/mL had a detection rate of 50% (13 of 26). The complication rate in our study was 7.5%. CONCLUSIONS: With the use of the Vienna nomogram, our prostate cancer detection rate is comparable to previously published data for Asian patients. This nomogram offers an easy tool with which to select the optimal number of prostate biopsy cores to be taken on the basis of patient age and total prostate volume. With this biopsy strategy, we also have found that the complication rate from prostate biopsy is low.
Asian Continental Ancestry Group
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Biopsy
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Digital Rectal Examination
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Humans
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Incidence
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Male
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Nomograms*
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Prospective Studies
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Prostate*
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Prostate-Specific Antigen
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Prostatic Neoplasms*
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Singapore*
2.Perception of disease, well-being and financial burden by patients with chronic hepatitis B: A self-reported assessment.
Ruojun DING ; Gayathry MORVIL ; Boon Bee George GOH ; Thinesh Lee KRISHNAMOORTHY ; Pei Yuh CHIA ; Hiang Keat TAN ; Victoria Sze Min EKSTROM ; Chang Chuen Mark CHEAH ; Jin Yang Terence TAN ; Pek Siang Edmund TEO ; Pik Eu Jason CHANG ; Chee Kiat TAN ; Xiaohui XIN ; Wan Cheng CHOW ; Rajneesh KUMAR
Annals of the Academy of Medicine, Singapore 2022;51(6):378-380