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This nomogram provides an objective and quantifiable estimation of cancer risk and offers useful information for
consultation.
The decision to perform a prostate biopsy not only depends on prostate
carcinoma risk, but also on multiple factors, including the patient’s
life expectancy, co-morbidity, and preference.
Model performance:
On internal validation using a 200 bootstrap resampled
dataset, the nomogram’s corrected AUC was 0.872. The calibration plot showed good correlation between predicted and actual probability.
In a separate validation cohort consisting of 230 patients, the AUC of the nomogram was 0.786 (range, 0.678–0.894).
Clinical relevance:
Zhu et al (2015) simulated clinical decision making by calculating the consequences of applying different
criteria in the validation cohort. PSAD biopsy criteria resulted in unnecessary biopsies in 42.6% of cases and missed 28.6% of cancer cases. Using the PHI-nomogram, the authors were able to significantly reduce the number of unnecessary biopsies. For example, at the cutoff of 5%, unnecessary biopsies were reduced to 27% without missing any additional cancer cases.
Reference: Zhu Y, Han CT, Zhang GM, Liu F, Ding Q, Xu
JF, Vidal AC, Freedland SJ, Ng CF, Ye DW. Development and external validation
of a prostate health index-based nomogram for predicting prostate cancer. Sci
Rep. 2015 16;5:15341.
This algorithm is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.
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