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

Oleh:

Yuri, Prahara ; Wangge, Grace ; Abshari, Fatan ; Satjakoesoemah, Adistra I. T. W. H. ; Perdana, Noor R. ; Wijaya, Candra D. K. ; Tansol, Christiano ; Tigor, Aaron ; Safriadi, Ferry ; Kadar, Dhirajaya D. ; Warli, Syah M. ; Rochadi, Sungsang ; Danarto ; Hakim, Lukman ; Djatisoesanto, Wahjoe ; Hardjowijoto, Sunaryo ; Mochtar, Chaidir A. ; Umbas, Rainy ; Hamid, Agus Rizal A. H.

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: Acta Medica Indonesiana vol. 47 no. 02 (Apr. 2015), page 95-103.
Topik: Prostate Cancer; Risk Calculator; Early Detection
Fulltext: A02 v47 n2 p95 kelik2016.pdf (502.0KB)

Ketersediaan

Perpustakaan FK Nomor Panggil: A02.k Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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.

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