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The presence of prostate cancer on saturation biopsy can be accurately predicted.

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The presence of prostate cancer on saturation biopsy can be accurately predicted. / Ahyai, Sascha; Isbarn, Hendrik; Karakiewicz, Pierre I; Chun, Felix; Reichert, Mathias; Walz, Jochen; Steuber, Thomas; Jeldres, Claudio; Schlomm, Thorsten; Heinzer, Hans; Salomon, Georg; Budäus, Lars; Perrotte, Paul; Huland, Hartwig; Graefen, Markus; Haese, Alexander.

In: BJU INT, Vol. 105, No. 5, 5, 2010, p. 636-641.

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

Harvard

Ahyai, S, Isbarn, H, Karakiewicz, PI, Chun, F, Reichert, M, Walz, J, Steuber, T, Jeldres, C, Schlomm, T, Heinzer, H, Salomon, G, Budäus, L, Perrotte, P, Huland, H, Graefen, M & Haese, A 2010, 'The presence of prostate cancer on saturation biopsy can be accurately predicted.', BJU INT, vol. 105, no. 5, 5, pp. 636-641. <http://www.ncbi.nlm.nih.gov/pubmed/20149204?dopt=Citation>

APA

Ahyai, S., Isbarn, H., Karakiewicz, P. I., Chun, F., Reichert, M., Walz, J., Steuber, T., Jeldres, C., Schlomm, T., Heinzer, H., Salomon, G., Budäus, L., Perrotte, P., Huland, H., Graefen, M., & Haese, A. (2010). The presence of prostate cancer on saturation biopsy can be accurately predicted. BJU INT, 105(5), 636-641. [5]. http://www.ncbi.nlm.nih.gov/pubmed/20149204?dopt=Citation

Vancouver

Ahyai S, Isbarn H, Karakiewicz PI, Chun F, Reichert M, Walz J et al. The presence of prostate cancer on saturation biopsy can be accurately predicted. BJU INT. 2010;105(5):636-641. 5.

Bibtex

@article{2667e7b464b647e5be57dd4ac467da9d,
title = "The presence of prostate cancer on saturation biopsy can be accurately predicted.",
abstract = "OBJECTIVE: To improve the ability of our previously reported saturation biopsy nomogram quantifying the risk of prostate cancer, as the use of office-based saturation biopsy has increased. PATIENTS AND METHODS: Saturation biopsies of 540 men with one or more previously negative 6-12 core biopsies were used to develop a multivariable logistic regression model-based nomogram, predicting the probability of prostate cancer. Candidate predictors were used in their original or stratified format, and consisted of age, total prostate-specific antigen (PSA) level, percentage free PSA (%fPSA), gland volume, findings on a digital rectal examination, cumulative number of previous biopsy sessions, presence of high-grade prostatic intraepithelial neoplasia on any previous biopsy, and presence of atypical small acinar proliferation (ASAP) on any previous biopsy. Two hundred bootstraps re-samples were used to adjust for overfit bias. RESULTS: Prostate cancer was diagnosed in 39.4% of saturation biopsies. Age, total PSA, %fPSA, gland volume, number of previous biopsies, and presence of ASAP at any previous biopsy were independent predictors for prostate cancer (all P <0.05). The nomogram was 77.2% accurate and had a virtually perfect correlation between predicted and observed rates of prostate cancer. CONCLUSIONS: We improved the accuracy of the saturation biopsy nomogram from 72% to 77%; it relies on three previously included variables, i.e. age, %fPSA and prostate volume, and on three previously excluded variables, i.e. PSA, the number of previous biopsy sessions, and evidence of ASAP on previous biopsy. Our study represents the largest series of saturation biopsies to date.",
keywords = "Adult, Humans, Male, Aged, Middle Aged, Aged, 80 and over, Epidemiologic Methods, Biopsy, Needle, Nomograms, Prostate pathology, Prostatic Intraepithelial Neoplasia pathology, Prostatic Neoplasms pathology, Adult, Humans, Male, Aged, Middle Aged, Aged, 80 and over, Epidemiologic Methods, Biopsy, Needle, Nomograms, Prostate pathology, Prostatic Intraepithelial Neoplasia pathology, Prostatic Neoplasms pathology",
author = "Sascha Ahyai and Hendrik Isbarn and Karakiewicz, {Pierre I} and Felix Chun and Mathias Reichert and Jochen Walz and Thomas Steuber and Claudio Jeldres and Thorsten Schlomm and Hans Heinzer and Georg Salomon and Lars Bud{\"a}us and Paul Perrotte and Hartwig Huland and Markus Graefen and Alexander Haese",
year = "2010",
language = "Deutsch",
volume = "105",
pages = "636--641",
journal = "BJU INT",
issn = "1464-4096",
publisher = "Wiley-Blackwell",
number = "5",

}

RIS

TY - JOUR

T1 - The presence of prostate cancer on saturation biopsy can be accurately predicted.

AU - Ahyai, Sascha

AU - Isbarn, Hendrik

AU - Karakiewicz, Pierre I

AU - Chun, Felix

AU - Reichert, Mathias

AU - Walz, Jochen

AU - Steuber, Thomas

AU - Jeldres, Claudio

AU - Schlomm, Thorsten

AU - Heinzer, Hans

AU - Salomon, Georg

AU - Budäus, Lars

AU - Perrotte, Paul

AU - Huland, Hartwig

AU - Graefen, Markus

AU - Haese, Alexander

PY - 2010

Y1 - 2010

N2 - OBJECTIVE: To improve the ability of our previously reported saturation biopsy nomogram quantifying the risk of prostate cancer, as the use of office-based saturation biopsy has increased. PATIENTS AND METHODS: Saturation biopsies of 540 men with one or more previously negative 6-12 core biopsies were used to develop a multivariable logistic regression model-based nomogram, predicting the probability of prostate cancer. Candidate predictors were used in their original or stratified format, and consisted of age, total prostate-specific antigen (PSA) level, percentage free PSA (%fPSA), gland volume, findings on a digital rectal examination, cumulative number of previous biopsy sessions, presence of high-grade prostatic intraepithelial neoplasia on any previous biopsy, and presence of atypical small acinar proliferation (ASAP) on any previous biopsy. Two hundred bootstraps re-samples were used to adjust for overfit bias. RESULTS: Prostate cancer was diagnosed in 39.4% of saturation biopsies. Age, total PSA, %fPSA, gland volume, number of previous biopsies, and presence of ASAP at any previous biopsy were independent predictors for prostate cancer (all P <0.05). The nomogram was 77.2% accurate and had a virtually perfect correlation between predicted and observed rates of prostate cancer. CONCLUSIONS: We improved the accuracy of the saturation biopsy nomogram from 72% to 77%; it relies on three previously included variables, i.e. age, %fPSA and prostate volume, and on three previously excluded variables, i.e. PSA, the number of previous biopsy sessions, and evidence of ASAP on previous biopsy. Our study represents the largest series of saturation biopsies to date.

AB - OBJECTIVE: To improve the ability of our previously reported saturation biopsy nomogram quantifying the risk of prostate cancer, as the use of office-based saturation biopsy has increased. PATIENTS AND METHODS: Saturation biopsies of 540 men with one or more previously negative 6-12 core biopsies were used to develop a multivariable logistic regression model-based nomogram, predicting the probability of prostate cancer. Candidate predictors were used in their original or stratified format, and consisted of age, total prostate-specific antigen (PSA) level, percentage free PSA (%fPSA), gland volume, findings on a digital rectal examination, cumulative number of previous biopsy sessions, presence of high-grade prostatic intraepithelial neoplasia on any previous biopsy, and presence of atypical small acinar proliferation (ASAP) on any previous biopsy. Two hundred bootstraps re-samples were used to adjust for overfit bias. RESULTS: Prostate cancer was diagnosed in 39.4% of saturation biopsies. Age, total PSA, %fPSA, gland volume, number of previous biopsies, and presence of ASAP at any previous biopsy were independent predictors for prostate cancer (all P <0.05). The nomogram was 77.2% accurate and had a virtually perfect correlation between predicted and observed rates of prostate cancer. CONCLUSIONS: We improved the accuracy of the saturation biopsy nomogram from 72% to 77%; it relies on three previously included variables, i.e. age, %fPSA and prostate volume, and on three previously excluded variables, i.e. PSA, the number of previous biopsy sessions, and evidence of ASAP on previous biopsy. Our study represents the largest series of saturation biopsies to date.

KW - Adult

KW - Humans

KW - Male

KW - Aged

KW - Middle Aged

KW - Aged, 80 and over

KW - Epidemiologic Methods

KW - Biopsy, Needle

KW - Nomograms

KW - Prostate pathology

KW - Prostatic Intraepithelial Neoplasia pathology

KW - Prostatic Neoplasms pathology

KW - Adult

KW - Humans

KW - Male

KW - Aged

KW - Middle Aged

KW - Aged, 80 and over

KW - Epidemiologic Methods

KW - Biopsy, Needle

KW - Nomograms

KW - Prostate pathology

KW - Prostatic Intraepithelial Neoplasia pathology

KW - Prostatic Neoplasms pathology

M3 - SCORING: Zeitschriftenaufsatz

VL - 105

SP - 636

EP - 641

JO - BJU INT

JF - BJU INT

SN - 1464-4096

IS - 5

M1 - 5

ER -