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External validation of extended prostate biopsy nomogram
J. Hrbáček, I. Minárik, T. Sieger, M. Babjuk,
Language English Country Poland
Document type Journal Article
NLK
Free Medical Journals
from 2009
PubMed Central
from 2011
Europe PubMed Central
from 2011
ProQuest Central
from 2010-01-01
Open Access Digital Library
from 2009-01-01
Open Access Digital Library
from 2011-01-01
Health & Medicine (ProQuest)
from 2010-01-01
PubMed
26251732
DOI
10.5173/ceju.2015.610
Knihovny.cz E-resources
- Publication type
- Journal Article MeSH
INTRODUCTION: Historical nomograms for the prediction of cancer on prostate biopsy, developed in the sextant biopsy era are no more accurate today. The aim of this study was an independent external validation of a 10-core biopsy nomogram by Chun et al. (2007). MATERIAL AND METHODS: A total of 322 patients who presented for their initial biopsy in a tertiary care center and had all the necessary data available were included in the retrospective analysis. To validate the nomogram, receiver operator characteristic (ROC) curves and calibration plots were constructed. RESULTS: Area under the ROC curve calculated for our data using the nomogram was 0.773, similar to that reported originally. However, the nomogram systematically overestimated prostate cancer risk, which, for our data, could be resolved by subtracting 24 points from the total number of points of the nomogram. CONCLUSIONS: The nomogram yielded overall good predictive accuracy as measured by the area under the ROC curve, but it systematically overestimated PC probability in individual patients. However, we showed how the nomogram could easily be adapted to our patient sample, resolving the bias issue.
References provided by Crossref.org
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- $a INTRODUCTION: Historical nomograms for the prediction of cancer on prostate biopsy, developed in the sextant biopsy era are no more accurate today. The aim of this study was an independent external validation of a 10-core biopsy nomogram by Chun et al. (2007). MATERIAL AND METHODS: A total of 322 patients who presented for their initial biopsy in a tertiary care center and had all the necessary data available were included in the retrospective analysis. To validate the nomogram, receiver operator characteristic (ROC) curves and calibration plots were constructed. RESULTS: Area under the ROC curve calculated for our data using the nomogram was 0.773, similar to that reported originally. However, the nomogram systematically overestimated prostate cancer risk, which, for our data, could be resolved by subtracting 24 points from the total number of points of the nomogram. CONCLUSIONS: The nomogram yielded overall good predictive accuracy as measured by the area under the ROC curve, but it systematically overestimated PC probability in individual patients. However, we showed how the nomogram could easily be adapted to our patient sample, resolving the bias issue.
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