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Development and external validation of an extended 10-core biopsy nomogram.

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Development and external validation of an extended 10-core biopsy nomogram. / Chun, Felix; Briganti, Alberto; Graefen, Markus; Montorsi, Francesco; Porter, Christopher; Scattoni, Vincenzo; Gallina, Andrea; Walz, Jochen; Haese, Alexander; Steuber, Thomas; Erbersdobler, Andreas; Schlomm, Thorsten; Ahyai, Sascha; Eichelberg, Eike; Valiquette, Luc; Heinzer, Hans; Rigatti, Patrizio; Huland, Hartwig; Karakiewicz, Pierre I.

In: EUR UROL, Vol. 52, No. 2, 2, 2007, p. 436-444.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Chun, F, Briganti, A, Graefen, M, Montorsi, F, Porter, C, Scattoni, V, Gallina, A, Walz, J, Haese, A, Steuber, T, Erbersdobler, A, Schlomm, T, Ahyai, S, Eichelberg, E, Valiquette, L, Heinzer, H, Rigatti, P, Huland, H & Karakiewicz, PI 2007, 'Development and external validation of an extended 10-core biopsy nomogram.', EUR UROL, vol. 52, no. 2, 2, pp. 436-444. <http://www.ncbi.nlm.nih.gov/pubmed/17010505?dopt=Citation>

APA

Chun, F., Briganti, A., Graefen, M., Montorsi, F., Porter, C., Scattoni, V., Gallina, A., Walz, J., Haese, A., Steuber, T., Erbersdobler, A., Schlomm, T., Ahyai, S., Eichelberg, E., Valiquette, L., Heinzer, H., Rigatti, P., Huland, H., & Karakiewicz, P. I. (2007). Development and external validation of an extended 10-core biopsy nomogram. EUR UROL, 52(2), 436-444. [2]. http://www.ncbi.nlm.nih.gov/pubmed/17010505?dopt=Citation

Vancouver

Chun F, Briganti A, Graefen M, Montorsi F, Porter C, Scattoni V et al. Development and external validation of an extended 10-core biopsy nomogram. EUR UROL. 2007;52(2):436-444. 2.

Bibtex

@article{9a823e6179994e48b636b14e3ac2a2e0,
title = "Development and external validation of an extended 10-core biopsy nomogram.",
abstract = "OBJECTIVES: To test the accuracy of a previously externally validated sextant biopsy nomogram in referred men exposed to > or =10 or more biopsy cores. Moreover, we explored the hypothesis that a more accurate predictive tool could be developed. METHODS: Previous nomogram predictors (age, digital rectal examination, prostate-specific antigen, and percent free PSA) were used to assess the accuracy of our previous nomogram in a cohort consisting of 2900 men referred for prostatic evaluation. Moreover, these variables were complemented with sampling density (SD) (i.e., ratio of gland volume and the number of planned biopsy cores) within multivariable logistic regression models (LRM) predicting presence of prostate cancer (pCA) on the initial 10 or more core biopsy. The LRMs were used to develop and internally validate (200 bootstrap resamples) a new nomogram in 1162 men from Hamburg, Germany. The LRMs' external validity was tested in three separate cohorts (Hamburg, n=582; Milan, n=961; Seattle, n=195). RESULTS: The contemporary external validation of the previously validated sextant nomogram demonstrated 70% accuracy. Internal validation of the new nomogram demonstrated 77% accuracy, and external cohorts demonstrated 73-76% accuracy. CONCLUSIONS: In the era of extended biopsy schemes, previously developed predictive models are less accurate in predicting the probability of pCA on initial biopsy. We developed a new tool that allows obtaining more accurate predictions. Moreover, before biopsy, it also allows defining the ideal ratio between gland volume and the number of planned biopsy cores that would yield the ideal biopsy rate.",
author = "Felix Chun and Alberto Briganti and Markus Graefen and Francesco Montorsi and Christopher Porter and Vincenzo Scattoni and Andrea Gallina and Jochen Walz and Alexander Haese and Thomas Steuber and Andreas Erbersdobler and Thorsten Schlomm and Sascha Ahyai and Eike Eichelberg and Luc Valiquette and Hans Heinzer and Patrizio Rigatti and Hartwig Huland and Karakiewicz, {Pierre I}",
year = "2007",
language = "Deutsch",
volume = "52",
pages = "436--444",
journal = "EUR UROL",
issn = "0302-2838",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - Development and external validation of an extended 10-core biopsy nomogram.

AU - Chun, Felix

AU - Briganti, Alberto

AU - Graefen, Markus

AU - Montorsi, Francesco

AU - Porter, Christopher

AU - Scattoni, Vincenzo

AU - Gallina, Andrea

AU - Walz, Jochen

AU - Haese, Alexander

AU - Steuber, Thomas

AU - Erbersdobler, Andreas

AU - Schlomm, Thorsten

AU - Ahyai, Sascha

AU - Eichelberg, Eike

AU - Valiquette, Luc

AU - Heinzer, Hans

AU - Rigatti, Patrizio

AU - Huland, Hartwig

AU - Karakiewicz, Pierre I

PY - 2007

Y1 - 2007

N2 - OBJECTIVES: To test the accuracy of a previously externally validated sextant biopsy nomogram in referred men exposed to > or =10 or more biopsy cores. Moreover, we explored the hypothesis that a more accurate predictive tool could be developed. METHODS: Previous nomogram predictors (age, digital rectal examination, prostate-specific antigen, and percent free PSA) were used to assess the accuracy of our previous nomogram in a cohort consisting of 2900 men referred for prostatic evaluation. Moreover, these variables were complemented with sampling density (SD) (i.e., ratio of gland volume and the number of planned biopsy cores) within multivariable logistic regression models (LRM) predicting presence of prostate cancer (pCA) on the initial 10 or more core biopsy. The LRMs were used to develop and internally validate (200 bootstrap resamples) a new nomogram in 1162 men from Hamburg, Germany. The LRMs' external validity was tested in three separate cohorts (Hamburg, n=582; Milan, n=961; Seattle, n=195). RESULTS: The contemporary external validation of the previously validated sextant nomogram demonstrated 70% accuracy. Internal validation of the new nomogram demonstrated 77% accuracy, and external cohorts demonstrated 73-76% accuracy. CONCLUSIONS: In the era of extended biopsy schemes, previously developed predictive models are less accurate in predicting the probability of pCA on initial biopsy. We developed a new tool that allows obtaining more accurate predictions. Moreover, before biopsy, it also allows defining the ideal ratio between gland volume and the number of planned biopsy cores that would yield the ideal biopsy rate.

AB - OBJECTIVES: To test the accuracy of a previously externally validated sextant biopsy nomogram in referred men exposed to > or =10 or more biopsy cores. Moreover, we explored the hypothesis that a more accurate predictive tool could be developed. METHODS: Previous nomogram predictors (age, digital rectal examination, prostate-specific antigen, and percent free PSA) were used to assess the accuracy of our previous nomogram in a cohort consisting of 2900 men referred for prostatic evaluation. Moreover, these variables were complemented with sampling density (SD) (i.e., ratio of gland volume and the number of planned biopsy cores) within multivariable logistic regression models (LRM) predicting presence of prostate cancer (pCA) on the initial 10 or more core biopsy. The LRMs were used to develop and internally validate (200 bootstrap resamples) a new nomogram in 1162 men from Hamburg, Germany. The LRMs' external validity was tested in three separate cohorts (Hamburg, n=582; Milan, n=961; Seattle, n=195). RESULTS: The contemporary external validation of the previously validated sextant nomogram demonstrated 70% accuracy. Internal validation of the new nomogram demonstrated 77% accuracy, and external cohorts demonstrated 73-76% accuracy. CONCLUSIONS: In the era of extended biopsy schemes, previously developed predictive models are less accurate in predicting the probability of pCA on initial biopsy. We developed a new tool that allows obtaining more accurate predictions. Moreover, before biopsy, it also allows defining the ideal ratio between gland volume and the number of planned biopsy cores that would yield the ideal biopsy rate.

M3 - SCORING: Zeitschriftenaufsatz

VL - 52

SP - 436

EP - 444

JO - EUR UROL

JF - EUR UROL

SN - 0302-2838

IS - 2

M1 - 2

ER -