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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.
Questo algoritmo viene fornito a scopo educativo, formativo e informativo. Non deve essere utilizzato a supporto di decisioni mediche o per fornire servizi medici o diagnostici. Leggete il nostro sito completo disclaimer.
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