Potential predictive factors of positive prostate biopsy in the Japanese population

Shigemura, Katsumi; Arakawa, Soichi; Yamanaka, Kazuki; Yasui, Nobuo; Matsubara, Shigeji; Iwamoto, Takahiro; Kataoka, Nobuo; Yuien, Keiji; Fujisawa, Masato

doi:10.1007/s11255-007-9219-5

Cited by 4 publications

(2 citation statements)

References 24 publications

(22 reference statements)

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“…We analyzed prostate volume to find the direct effect of prostate volume on prediction of histopathology of biopsy rather than the calculation PSA density. According to the study of Shigemura et al in Japanese men with PSA levels <10 ng/ml showed that prostate volume was the significant predictor for a positive biopsy (Shigemura et al, 2008).Based on our findings, prostate volume >40 cc should be considered a predictive factor for a positive biopsy (p=0.0001). On the other hand prostate volume was not included in Garzotto's study which reports independent factors associated with positive biopsy (Garzotto et al, 2003).…”

Section: 6085 Impact Of Psa and Dre On Histologic Findings At Prostasupporting

confidence: 57%

Impact of PSA and DRE on Histologic Findings at Prostate Biopsy in Turkish Men Over 75 Years of Age

Verim

Yıldırım²,

Başok³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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Prostate specidic antigen (PSA) and digital rectal examination (DRE) are the known predictive factors for positive prostate biopsies differing according to the age, region and race. There have been only very limited studies about the impact of PSA on histological findings at prostate biopsy in Turkey. The aim of this study was to evaluate the impact of PSA and clinical stage on histologic findings of prostate biopsy in men older than 75 years of age as a first study in the Turkish population. A total of 1,645 consecutive prostate biopsies were included, with 194 men aged 75 or older. Cancer was identified in 104 patients (53.6%). Of the 104 positive biopsies, Gleason scores were less than 7 in 53 (49%) patients, 7 or greater in 51 (51%) patients. Positive prostate biopsies were significantly correlated with advanced age (p=0.0001), abnormal DRE (p=0.0001) and raised PSA (p=0.0001). The prostate volume was significantly correlated with advanced age especially in prostate cancer patients over 75 years, compared with those under 75 (p=0.0001). These results are useful for counseling men older than 75 years for prostate cancer detection. However, PCa screening decisions are currently based on urologist judgment and detection of latent asymptomatic disease is an important concern regarding costs, overdiagnosis, overtreatment and quality of life (QOL) for men aged 75 years and older. Healthy old patients with a long life expectancy need to be carefully evaluated for eligibility for PCa screening.

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Section: 6085 Impact Of Psa and Dre On Histologic Findings At Prostasupporting

confidence: 57%

Impact of PSA and DRE on Histologic Findings at Prostate Biopsy in Turkish Men Over 75 Years of Age

Verim

Yıldırım²,

Başok³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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“…63,[83][84][85] In order to predict a positive biopsy, some parameters and nomograms can be used, such as positive digital rectal examination results, prostate volume and hypo-echoic lesions on TRUS. 65,[86][87][88][89][90][91][92][93] For patients with clinically suspected PCa but a negative first biopsy, a saturation biopsy (minimum of 20 cores) with lateral and apical cores may be indicated, which is also efficacious for staging patients who are undergoing active surveillance protocols, 63,85,94,95 Pepe et al 96 suggested that in addition to the presence of LUTS, TURP should be a part of the diagnostic procedure in cases of a repeated negative saturation biopsy. Meanwhile, the sample from the prostatic transition zone by directed needle biopsies may be omitted due to a lower detection rate compared to TURP.…”

Section: Prostate Cancer (Pca) Epidemiological Characteristicsmentioning

confidence: 99%

An overview of prostate diseases and their characteristics specific to Asian men

Xia¹,

Cui²,

Jiang³

2012

Asian J Androl

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In this paper, we reviewed the features of common prostate diseases, such as benign prostatic hyperplasia (BPH), prostate cancer (PCa) and chronic prostatitis (CP) that are specific to Asian men. Compared to the Westerners, Asians exhibit particular characteristics of prostate diseases. Through summarizing the epidemiology, symptomatology, diagnostics and therapeutics of these diseases, we find that Asians have a lower incidence of PCa than whites, but the incidences of BPH and CP are similar. Asian men with CP often suffer from fewer disease sites, but have a higher frequency of pain during urination rather than after sexual climax. Prostate-specific antigen (PSA) is a widely used marker for the diagnosis of PCa in both Asian and Western countries. Although the PSA level may be lower in Asians, the threshold used is based on whites. After reviewing the treatments available for these diseases, we did not find a fundamental difference between Asians and whites. Furthermore, the selection for the most appropriate treatment based on the individual needs of patients remains a challenge to urologists in Asia. After considering the traits of prostate diseases that are specific to Asian men, we hope to pave the way for the development of specific diagnostic and therapeutic strategies targeted specifically to Asian men.

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Comparison of Bayesian network and binary Logistic Regression methods for prediction of prostate cancer

Bozkurt

Uyar

Gülkesen

2011

2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)

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Potential predictive factors of positive prostate biopsy in the Japanese population

Cited by 4 publications

References 24 publications

Impact of PSA and DRE on Histologic Findings at Prostate Biopsy in Turkish Men Over 75 Years of Age

Impact of PSA and DRE on Histologic Findings at Prostate Biopsy in Turkish Men Over 75 Years of Age

An overview of prostate diseases and their characteristics specific to Asian men

Comparison of Bayesian network and binary Logistic Regression methods for prediction of prostate cancer

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