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, Jahrgang 105, Nr. 5, 5, 2010, S. 636-641.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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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 -