Literature DB >> 21218035

Initial biopsy outcome prediction in Korean patients-comparison of a noble web-based Korean prostate cancer risk calculator versus prostate-specific antigen testing.

Jae Young Park1, Sungroh Yoon, Man Sik Park, Dae-Yeon Cho, Hong-Seok Park, Du Geon Moon, Duck Ki Yoon.   

Abstract

We developed and validated a novel Korean prostate cancer risk calculator (KPCRC) for predicting the probability of a positive initial prostate biopsy in a Korean population. Data were collected from 602 Koreans who underwent initial prostate biopsies due to an increased level of prostate-specific antigen (PSA), a palpable nodule upon digital rectal examination (DRE), or a hypoechoic lesion upon transrectal ultrasound (TRUS). The clinical and laboratory variables were analyzed by simple and multiple logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was computed to compare its performance to PSA testing alone. Prostate cancer was detected in 172 (28.6%) men. Independent predictors included age, DRE findings, PSA level, and prostate transitional zone volume. We developed the KPCRC using these variables. The AUC for the selected model was 0.91, and that of PSA testing alone was 0.83 (P < 0.001). The AUC for the selected model with an additional dataset was 0.79, and that of PSA testing alone was 0.73 (P = 0.004). The calculator is available on the website: http://pcrc.korea.ac.kr. The KPCRC improved the performance of PSA testing alone in predicting the risk of prostate cancer in a Korean population. This calculator would be a practical tool for physicians and patients.

Entities:  

Keywords:  Asian Continental Ancestry Group; Biopsy; Forecasting; Prostate Neoplasms

Mesh:

Substances:

Year:  2010        PMID: 21218035      PMCID: PMC3012855          DOI: 10.3346/jkms.2011.26.1.85

Source DB:  PubMed          Journal:  J Korean Med Sci        ISSN: 1011-8934            Impact factor:   2.153


  21 in total

1.  Serum PSA adjusted for volume of transition zone (PSAT) is more accurate than PSA adjusted for total gland volume (PSAD) in detecting adenocarcinoma of the prostate.

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Journal:  Urology       Date:  1994-05       Impact factor: 2.649

2.  Use of the percentage of free prostate-specific antigen to enhance differentiation of prostate cancer from benign prostatic disease: a prospective multicenter clinical trial.

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3.  Detection of prostate carcinoma using prostate specific antigen, its density, and the density of the transition zone in Japanese men with intermediate serum prostate specific antigen concentrations.

Authors:  K Gohji; M Nomi; S Egawa; K Morisue; A Takenaka; M Okamoto; M Ohori; A Fujii
Journal:  Cancer       Date:  1997-05-15       Impact factor: 6.860

4.  An algorithm combining age, total prostate-specific antigen (PSA), and percent free PSA to predict prostate cancer: results on 4298 cases.

Authors:  G D Carlson; C B Calvanese; A W Partin
Journal:  Urology       Date:  1998-09       Impact factor: 2.649

5.  Prostate specific antigen density of the transition zone: a new effective parameter for prostate cancer prediction.

Authors:  A R Zlotta; B Djavan; M Marberger; C C Schulman
Journal:  J Urol       Date:  1997-04       Impact factor: 7.450

Review 6.  Prostate specific antigen: a critical assessment of the most useful tumor marker for adenocarcinoma of the prostate.

Authors:  J E Oesterling
Journal:  J Urol       Date:  1991-05       Impact factor: 7.450

7.  Effect of inflammation and benign prostatic hyperplasia on elevated serum prostate specific antigen levels.

Authors:  R B Nadler; P A Humphrey; D S Smith; W J Catalona; T L Ratliff
Journal:  J Urol       Date:  1995-08       Impact factor: 7.450

8.  Normal range prostate-specific antigen versus age-specific prostate-specific antigen in screening prostate adenocarcinoma.

Authors:  R E el-Galley; J A Petros; W H Sanders; T E Keane; N T Galloway; W H Cooner; S D Graham
Journal:  Urology       Date:  1995-08       Impact factor: 2.649

9.  Cancer statistics in Korea: incidence, mortality and survival in 2006-2007.

Authors:  Kyu-Won Jung; Sohee Park; Hyun-Joo Kong; Young-Joo Won; You-Kyung Boo; Hai-Rim Shin; Eun-Cheol Park; Jin-Soo Lee
Journal:  J Korean Med Sci       Date:  2010-07-21       Impact factor: 2.153

10.  Predictive modeling for the presence of prostate carcinoma using clinical, laboratory, and ultrasound parameters in patients with prostate specific antigen levels < or = 10 ng/mL.

Authors:  Mark Garzotto; R Guy Hudson; Laura Peters; Yi-Ching Hsieh; Eduardo Barrera; Motomi Mori; Tomasz M Beer; Thomas Klein
Journal:  Cancer       Date:  2003-10-01       Impact factor: 6.860

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  8 in total

1.  Chinese nomogram to predict probability of positive initial prostate biopsy: a study in Taiwan region.

Authors:  Shu-Chun Kuo; Shun-Hsing Hung; Hsien-Yi Wang; Chih-Chiang Chien; Chin-Li Lu; Hung-Jung Lin; How-Ran Guo; Jian-Fang Zou; Chian-Shiung Lin; Chien-Cheng Huang
Journal:  Asian J Androl       Date:  2013-10-14       Impact factor: 3.285

2.  A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer.

Authors:  Ping Tang; Hui Chen; Matthew Uhlman; Yu-Rong Lin; Xiang-Rong Deng; Bin Wang; Wen-Jun Yang; Ke-Ji Xie
Journal:  Asian J Androl       Date:  2012-12-10       Impact factor: 3.285

3.  Terminal dribbling in male patients with lower urinary tract symptoms: relationship with International Prostate Symptom Score and with intravesical prostatic protrusion.

Authors:  Jae Heon Kim; Ji Sung Shim; Hoon Choi; Du Geon Moon; Jeong Gu Lee; Je Jong Kim; Jae Hyun Bae; Jae Young Park
Journal:  BMC Urol       Date:  2015-08-29       Impact factor: 2.264

4.  Configuration and validation of a novel prostate disease nomogram predicting prostate biopsy outcome: A prospective study correlating clinical indicators among Filipino adult males with elevated PSA level.

Authors:  Michael E Chua; Patrick P Tanseco; Jonathan S Mendoza; Josefino C Castillo; Marcelino L Morales; Saturnino L Luna
Journal:  Asian J Urol       Date:  2015-04-21

5.  Development and External Validation of the Korean Prostate Cancer Risk Calculator for High-Grade Prostate Cancer: Comparison with Two Western Risk Calculators in an Asian Cohort.

Authors:  Jae Young Park; Sungroh Yoon; Man Sik Park; Hoon Choi; Jae Hyun Bae; Du Geon Moon; Sung Kyu Hong; Sang Eun Lee; Chanwang Park; Seok-Soo Byun
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

6.  Prostate cancer risk prediction models in Eastern Asian populations: current status, racial difference, and future directions.

Authors:  Bi-Ming He; Rui Chen; Tian-Qi Sun; Yue Yang; Chun-Lei Zhang; Shan-Cheng Ren; Xu Gao; Ying-Hao Sun
Journal:  Asian J Androl       Date:  2020 Mar-Apr       Impact factor: 3.285

7.  Developing a new score system for patients with PSA ranging from 4 to 20 ng/mL to improve the accuracy of PCa detection.

Authors:  Yuxiao Zheng; Yuan Huang; Gong Cheng; Cheng Zhang; Jie Wu; Chao Qin; Lixin Hua; Zengjun Wang
Journal:  Springerplus       Date:  2016-09-05

8.  Personalized 5-Year Prostate Cancer Risk Prediction Model in Korea Based on Nationwide Representative Data.

Authors:  Yohwan Yeo; Dong Wook Shin; Jungkwon Lee; Kyungdo Han; Sang Hyun Park; Keun Hye Jeon; Jungeun Shin; Aesun Shin; Jinsung Park
Journal:  J Pers Med       Date:  2021-12-21
  8 in total

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