Abstract：
:To develop and externally validate a prostate health index (PHI)-based nomogram for predicting the presence of prostate cancer (PCa) at biopsy in Chinese men with prostate-specific antigen 4-10 ng/mL and normal digital rectal examination (DRE). 347 men were recruited from two hospitals between 2012 and 2014 to develop a PHI-based nomogram to predict PCa. To validate these results, we used a separate cohort of 230 men recruited at another center between 2008 and 2013. Receiver operator curves (ROC) were used to assess the ability to predict PCa. A nomogram was derived from the multivariable logistic regression model and its accuracy was assessed by the area under the ROC (AUC). PHI achieved the highest AUC of 0.839 in the development cohort compared to the other predictors (p < 0.001). Including age and prostate volume, a PHI-based nomogram was constructed and rendered an AUC of 0.877 (95% CI 0.813-0.938). The AUC of the nomogram in the validation cohort was 0.786 (95% CI 0.678-0.894). In clinical effectiveness analyses, the PHI-based nomogram reduced unnecessary biopsies from 42.6% to 27% using a 5% threshold risk of PCa to avoid biopsy with no increase in the number of missed cases relative to conventional biopsy decision.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Zhu Y,Han CT,Zhang GM,Liu F,Ding Q,Xu JF,Vidal AC,Freedland SJ,Ng CF,Ye DWdoi
10.1038/srep15341subject
Has Abstractpub_date
2015-10-16 00:00:00pages
15341issn
2045-2322pii
srep15341journal_volume
5pub_type
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