Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study)

Aim: to develop a prediction risk model of prostate cancer based on Indonesia population. Methods: we included all benign prostate hyperthrophy (BPH) and PCa patients who had prostate biopsy and prostatectomy between January 2009 and December 2013 from 5 urology centers in Indonesia. The relationshi...

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Main Authors: Prahara Yuri, Grace Wangge, Fatan Abshari, Adistra I.T.W.H Satjakoesoemah, Perdana R Perdana, Candra D.K Wijaya
Format: Article
Language:English
Published: Interna Publishing 2015-04-01
Series:Acta Medica Indonesiana
Online Access:http://www.actamedindones.org/index.php/ijim/article/view/44
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spelling doaj-4ca5a9591ada4d658c0eb643c4349dd82020-11-24T22:07:39ZengInterna PublishingActa Medica Indonesiana0125-93262338-27322015-04-0147244Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study)Prahara Yuri0Grace Wangge1Fatan Abshari2Adistra I.T.W.H Satjakoesoemah3Perdana R Perdana4Candra D.K Wijaya5Department of Urology, Faculty of Medicine Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, IndonesiaDepartment of Community Medicine, Faculty of Medicine Universitas Indonesia, Jakarta, IndonesiaDepartment of Urology, Faculty of Medicine Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, IndonesiaDepartment of Urology, Faculty of Medicine Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, IndonesiaDepartment of Urology, Faculty of Medicine Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, IndonesiaDepartment of Urology, Faculty of Medicine Air Langga University - Sutomo Hospital, Surabaya, IndonesiaAim: to develop a prediction risk model of prostate cancer based on Indonesia population. Methods: we included all benign prostate hyperthrophy (BPH) and PCa patients who had prostate biopsy and prostatectomy between January 2009 and December 2013 from 5 urology centers in Indonesia. The relationship between the possibility of PCa with the following variables including: age; PSA level, prostate volume (by transabdominal ultrasound or transrectal ultrasound) and digital rectal examination (DRE) finding. We calculated a predictive scoring equation to predict the possibility of PCa using chi-square analysis, Kolmogorov-Smirnov test, multiple logistic regression and ROC curve. Then, we designed an application for predicting prostate cancer risk called Indonesian Prostate Cancer Risk Calculator (IPCRC). Results: there were 784 PCa and 1173 BPH patients were used for developing the risk calculator in our study. The mean ages, PSA and prostate volume are 66.9±8.1 years old; 72.4±248.9 ng/ml and 49.6±28.2 ml, respectively. Abnormal DRE was found in 637 PCa and 56 BPH. We included age, PSA level, abnormal DRE finding (all showed significant p<0.05 in univariate model). Additionally, although not significant, we included prostate volume (p=0.157) due to its clinical importance. The corrected ROC analysis showed AUC 0.935, sensitivity of 90.1% and specificity 80% in predicting the prostate cancer in our population. Conclusion: we have developed the Indonesian Prostate Cancer Risk Calculator which includes age, PSA, DRE, and prostate volume as its variables. Future prospective study to validate the risk calculator is needed. Key words: prostate cancer, risk calculator, early detection.http://www.actamedindones.org/index.php/ijim/article/view/44
collection DOAJ
language English
format Article
sources DOAJ
author Prahara Yuri
Grace Wangge
Fatan Abshari
Adistra I.T.W.H Satjakoesoemah
Perdana R Perdana
Candra D.K Wijaya
spellingShingle Prahara Yuri
Grace Wangge
Fatan Abshari
Adistra I.T.W.H Satjakoesoemah
Perdana R Perdana
Candra D.K Wijaya
Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study)
Acta Medica Indonesiana
author_facet Prahara Yuri
Grace Wangge
Fatan Abshari
Adistra I.T.W.H Satjakoesoemah
Perdana R Perdana
Candra D.K Wijaya
author_sort Prahara Yuri
title Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study)
title_short Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study)
title_full Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study)
title_fullStr Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study)
title_full_unstemmed Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study)
title_sort indonesian prostate cancer risk calculator (ipcrc): an application for predicting prostate cancer risk (a multicenter study)
publisher Interna Publishing
series Acta Medica Indonesiana
issn 0125-9326
2338-2732
publishDate 2015-04-01
description Aim: to develop a prediction risk model of prostate cancer based on Indonesia population. Methods: we included all benign prostate hyperthrophy (BPH) and PCa patients who had prostate biopsy and prostatectomy between January 2009 and December 2013 from 5 urology centers in Indonesia. The relationship between the possibility of PCa with the following variables including: age; PSA level, prostate volume (by transabdominal ultrasound or transrectal ultrasound) and digital rectal examination (DRE) finding. We calculated a predictive scoring equation to predict the possibility of PCa using chi-square analysis, Kolmogorov-Smirnov test, multiple logistic regression and ROC curve. Then, we designed an application for predicting prostate cancer risk called Indonesian Prostate Cancer Risk Calculator (IPCRC). Results: there were 784 PCa and 1173 BPH patients were used for developing the risk calculator in our study. The mean ages, PSA and prostate volume are 66.9±8.1 years old; 72.4±248.9 ng/ml and 49.6±28.2 ml, respectively. Abnormal DRE was found in 637 PCa and 56 BPH. We included age, PSA level, abnormal DRE finding (all showed significant p<0.05 in univariate model). Additionally, although not significant, we included prostate volume (p=0.157) due to its clinical importance. The corrected ROC analysis showed AUC 0.935, sensitivity of 90.1% and specificity 80% in predicting the prostate cancer in our population. Conclusion: we have developed the Indonesian Prostate Cancer Risk Calculator which includes age, PSA, DRE, and prostate volume as its variables. Future prospective study to validate the risk calculator is needed. Key words: prostate cancer, risk calculator, early detection.
url http://www.actamedindones.org/index.php/ijim/article/view/44
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