Cargando…

Development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a UK population

BACKGROUND: Little evidence is available to determine which patients should undergo repeat biopsy after initial benign extended core biopsy (ECB). Attempts have been made to reduce the frequency of negative repeat biopsies using PSA kinetics, density, free-to-total ratios and Kattan's nomogram,...

Descripción completa

Detalles Bibliográficos
Autores principales: Rochester, Mark A, Pashayan, Nora, Matthews, Fiona, Doble, Andrew, McLoughlin, John
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2716365/
https://www.ncbi.nlm.nih.gov/pubmed/19607725
http://dx.doi.org/10.1186/1471-2490-9-7
_version_ 1782169814471540736
author Rochester, Mark A
Pashayan, Nora
Matthews, Fiona
Doble, Andrew
McLoughlin, John
author_facet Rochester, Mark A
Pashayan, Nora
Matthews, Fiona
Doble, Andrew
McLoughlin, John
author_sort Rochester, Mark A
collection PubMed
description BACKGROUND: Little evidence is available to determine which patients should undergo repeat biopsy after initial benign extended core biopsy (ECB). Attempts have been made to reduce the frequency of negative repeat biopsies using PSA kinetics, density, free-to-total ratios and Kattan's nomogram, to identify men more likely to harbour cancer but no single tool accurately predicts biopsy outcome. The objective of this study was to develop a predictive nomogram to identify men more likely to have a cancer diagnosed on repeat prostate biopsy. METHODS: Patients with previous benign ECB undergoing repeat biopsy were identified from a database. Association between age, volume, stage, previous histology, PSA kinetics and positive repeat biopsy was analysed. Variables were entered stepwise into logistic regression models. A risk score giving the probability of positive repeat biopsy was estimated. The performance of this score was assessed using receiver characteristic (ROC) analysis. RESULTS: 110 repeat biopsies were performed in this period. Cancer was detected in 31% of repeat biopsies at Hospital (1) and 30% at Hospital (2). The most accurate predictive model combined age, PSA, PSA velocity, free-to-total PSA ratio, prostate volume and digital rectal examination (DRE) findings. The risk model performed well in an independent sample, area under the curve (AUC(ROC)) was 0.818 (95% CI 0.707 to 0.929) for the risk model and 0.696 (95% CI 0.472 to 0.921) for the validation model. It was calculated that using a threshold risk score of > 0.2 to identify high risk individuals would reduce repeat biopsies by 39% while identifying 90% of the men with prostate cancer. CONCLUSION: An accurate multi-variable predictive tool to determine the risk of positive repeat prostate biopsy is presented. This can be used by urologists in an outpatient setting to aid decision-making for men with prior benign histology for whom a repeat biopsy is being considered.
format Text
id pubmed-2716365
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-27163652009-07-28 Development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a UK population Rochester, Mark A Pashayan, Nora Matthews, Fiona Doble, Andrew McLoughlin, John BMC Urol Research Article BACKGROUND: Little evidence is available to determine which patients should undergo repeat biopsy after initial benign extended core biopsy (ECB). Attempts have been made to reduce the frequency of negative repeat biopsies using PSA kinetics, density, free-to-total ratios and Kattan's nomogram, to identify men more likely to harbour cancer but no single tool accurately predicts biopsy outcome. The objective of this study was to develop a predictive nomogram to identify men more likely to have a cancer diagnosed on repeat prostate biopsy. METHODS: Patients with previous benign ECB undergoing repeat biopsy were identified from a database. Association between age, volume, stage, previous histology, PSA kinetics and positive repeat biopsy was analysed. Variables were entered stepwise into logistic regression models. A risk score giving the probability of positive repeat biopsy was estimated. The performance of this score was assessed using receiver characteristic (ROC) analysis. RESULTS: 110 repeat biopsies were performed in this period. Cancer was detected in 31% of repeat biopsies at Hospital (1) and 30% at Hospital (2). The most accurate predictive model combined age, PSA, PSA velocity, free-to-total PSA ratio, prostate volume and digital rectal examination (DRE) findings. The risk model performed well in an independent sample, area under the curve (AUC(ROC)) was 0.818 (95% CI 0.707 to 0.929) for the risk model and 0.696 (95% CI 0.472 to 0.921) for the validation model. It was calculated that using a threshold risk score of > 0.2 to identify high risk individuals would reduce repeat biopsies by 39% while identifying 90% of the men with prostate cancer. CONCLUSION: An accurate multi-variable predictive tool to determine the risk of positive repeat prostate biopsy is presented. This can be used by urologists in an outpatient setting to aid decision-making for men with prior benign histology for whom a repeat biopsy is being considered. BioMed Central 2009-07-16 /pmc/articles/PMC2716365/ /pubmed/19607725 http://dx.doi.org/10.1186/1471-2490-9-7 Text en Copyright © 2009 Rochester et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rochester, Mark A
Pashayan, Nora
Matthews, Fiona
Doble, Andrew
McLoughlin, John
Development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a UK population
title Development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a UK population
title_full Development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a UK population
title_fullStr Development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a UK population
title_full_unstemmed Development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a UK population
title_short Development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a UK population
title_sort development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a uk population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2716365/
https://www.ncbi.nlm.nih.gov/pubmed/19607725
http://dx.doi.org/10.1186/1471-2490-9-7
work_keys_str_mv AT rochestermarka developmentandvalidationofriskscoreforpredictingpositiverepeatprostatebiopsyinpatientswithapreviousnegativebiopsyinaukpopulation
AT pashayannora developmentandvalidationofriskscoreforpredictingpositiverepeatprostatebiopsyinpatientswithapreviousnegativebiopsyinaukpopulation
AT matthewsfiona developmentandvalidationofriskscoreforpredictingpositiverepeatprostatebiopsyinpatientswithapreviousnegativebiopsyinaukpopulation
AT dobleandrew developmentandvalidationofriskscoreforpredictingpositiverepeatprostatebiopsyinpatientswithapreviousnegativebiopsyinaukpopulation
AT mcloughlinjohn developmentandvalidationofriskscoreforpredictingpositiverepeatprostatebiopsyinpatientswithapreviousnegativebiopsyinaukpopulation