Nomograms based on the Tyrol screening data of 2,271 patients to predict prostate cancer biopsy positivity.

2011 ◽  
Vol 29 (7_suppl) ◽  
pp. 203-203
Author(s):  
P. Sooriakumaran ◽  
M. John ◽  
J. Bektic ◽  
G. Bartsch ◽  
M. Herman ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Predictive Accuracy ◽  
Prostate Volume ◽  
External Validation ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Predictive Ability ◽  
Free Psa ◽  
Better Than

203 Background: There are no published nomograms that predict prostate cancer in a screened population. We describe three nomograms that predict for prostate cancer on biopsy derived from a large screening population. Methods: Patients from the Tyrol screening study of known age, total prostate-specific antigen (tPSA), digital rectal examination (DRE), prostate volume, and percent free PSA (%fPSA), and who underwent an initial prostate biopsy from January 1992 to June 2004, were included (n=2271). Multivariable logistic regression models were used to develop the biopsy positivity predictive nomograms: nomogram 1- age, DRE, tPSA; nomogram 2- age, DRE, tPSA, prostate volume; nomogram 3- age, DRE, tPSA, prostate volume, %fPSA. The predictive accuracy of the models was assessed in terms of discrimination and calibration. External validation of the nomograms was performed by comparison with a urologically referred population of patients who underwent prostate biopsy (n=599). Results: All three nomograms discriminated well between biopsy positive and biopsy negative patients for both the screening and urologically referred cohorts (nomogram 3 better than nomogram 2 better than nomogram 1). All three nomograms were well calibrated internally, but the nomograms under-predicted the probability of a positive biopsy in the urologically referred cohort. Conclusions: Our nomogram based on age, total PSA, and DRE has a good predictive ability to differentiate between screened patients that will show cancer on initial prostate biopsy and those that will not. Adding prostate volume and percent free PSA improves this predictive power further. All three nomograms under-predict prostate cancer in a urologically referred cohort. These simple nomograms may be of value in counseling screened men with raised PSA and/or abnormal DRE regarding the need for biopsy. No significant financial relationships to disclose.

scholarly journals Integrated predictive model for prostatic cancer using clinical, laboratory and ultrasound data

2016 ◽  
Vol 43 (6) ◽  
pp. 430-437
Author(s):  
GUSTAVO DAVID LUDWIG ◽  
HENRIQUE PERES ROCHA ◽  
LÚCIO JOSÉ BOTELHO ◽  
MAIARA BRUSCO FREITAS
Keyword(s):  
Prostate Cancer ◽  
Predictive Model ◽  
Prostate Biopsy ◽  
Clinical Laboratory ◽  
Prostate Volume ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Roc Curves ◽  
Rectal Examination ◽  
Psa Density

ABSTRACT Objective: to develop a predictive model to estimate the probability of prostate cancer prior to biopsy. Methods: from September 2009 to January 2014, 445 men underwent prostate biopsy in a radiology service. We excluded from the study patients with diseases that could compromise the data analysis, who had undergone prostatic resection or used 5-alpha-reductase inhibitors. Thus, we selected 412 patients. Variables included in the model were age, prostate specific antigen (PSA), digital rectal examination, prostate volume and abnormal sonographic findings. We constructed Receiver Operating Characteristic (ROC) curves and calculated the areas under the curve, as well as the model's Positive Predictive Value (PPV) . Results: of the 412 men, 155 (37.62%) had prostate cancer (PC). The mean age was 63.8 years and the median PSA was 7.22ng/ml. In addition, 21.6% and 20.6% of patients had abnormalities on digital rectal examination and image suggestive of cancer by ultrasound, respectively. The median prostate volume and PSA density were 45.15cm3 and 0.15ng/ml/cm3, respectively. Univariate and multivariate analyses showed that only five studied risk factors are predictors of PC in the study (p<0.05). The PSA density was excluded from the model (p=0.314). The area under the ROC curve for PC prediction was 0.86. The PPV was 48.08% for 95%sensitivity and 52.37% for 90% sensitivity. Conclusion: the results indicate that clinical, laboratory and ultrasound data, besides easily obtained, can better stratify the risk of patients undergoing prostate biopsy.

scholarly journals Importance of prostate volume for detection of prostate cancer by first sextant biopsy in high-risk patients

Medicina ◽  
2007 ◽  
Vol 43 (4) ◽  
pp. 285 ◽  
Author(s):  
Kęstutis Vaičiūnas ◽  
Stasys Auškalnis ◽  
Aivaras Matjošaitis ◽  
Darius Trumbeckas ◽  
Mindaugas Jievaltas
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Transition Zone ◽  
Prostate Biopsy ◽  
Prostate Volume ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Transitional Zone ◽  
Antigen Level ◽  
Sextant Biopsy

The aim of this study was to evaluate the relevance of prostate gland volume, transitional zone volume, and transitional zone index for the detection of prostate cancer by the first sextant biopsy. Material and methods. A total of 121 men with high risk of prostate cancer were included in our study (prostate-specific antigen level higher than 4 ng/mL and/or pathological digital rectal examination). We consulted the patients in Outpatient Department of Kaunas University of Medicine Hospital during 2003–2006. Total prostate volume and transition zone volume were measured, and all patients underwent transrectal ultrasoundguided sextant biopsy of the prostate. According to histological results of prostate biopsy, patients were divided into two groups: benign group (benign prostate hyperplasia and high-grade intraepithelial neoplasia) and prostate cancer group. Statistical analysis was made by SPSS (Statistical Package for Social Sciences) 12.0.1 for Windows. Results. After histological examination, prostate cancer was detected in 20.7% of patients (n=25). Prostate cancer was found in 24.6% of patients with a total prostate volume of less than 60 cm3 and only in 8.2% of patients with a total prostate volume greater than 60 cm3 (P=0.026). Prostate cancer was found in 27.1% of patients with transition zone volume smaller than 30 cm3 and only in 7.5% of patients with transition zone volume greater than 30 cm3 (P=0.007). A statistically significant difference was found when patients were divided into the groups according to transition zone index: when transition zone index was lower than 0.45, prostate cancer was detected in 37.1% of patients, and when transition zone index was higher than 0.45, prostate cancer was observed in 9.1% of patients (P=0.001). The possibility to detect prostate cancer was 5.9 times higher in patients with transition zone index lower than 0.45. Conclusions. Prostate cancer detection rate by first sextant prostate biopsy in patients with elevated prostate-specific antigen level and/or pathological digital rectal examination was higher when total prostate volume was less than 60 cm3, transition zone was less than 30 cm3, and transition zone index was less than 0.45.

scholarly journals External validation of prostate health index-based nomogram for predicting prostate cancer at extended biopsy

2020 ◽  
Vol 148 (5-6) ◽  
pp. 292-298
Author(s):  
Milorad Stojadinovic ◽  
Damnjan Pantic ◽  
Miroslav Stojadinovic
Keyword(s):  
Prostate Cancer ◽  
Predictive Accuracy ◽  
Characteristic Curve ◽  
External Validation ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Validation Dataset ◽  
Health Index ◽  
Prostate Health Index ◽  
Prostate Health

Introduction/Objective. Prostate Health Index (PHI)-based nomograms were created by Lughezzani et al. (2012) and Zhu et al. (2015) for predicting prostate cancer (PCa) at extended biopsy. The aim of the study was to externally validate two nomograms in the Serbian population. Methods. This retrospective study comprised 71 patients irrespective of digital rectal examination (DRE) findings, with prostate-specific antigen level < 10 ng/ml, who had undergone prostate biopsies, and PHI testing. Data were collected in accordance with previous nomograms predictors. Independent predictors were identified by using logistic regression. The predictive accuracy was measured by the area under the receiver operating characteristic curve (AUC). The calibration belt was used to assess model calibration. The clinical utility was measured by using decision curve analysis (DCA). Results. There were numerous differences in underlying risk factors between validation dataset and previously available data. Analysis demonstrated that the DRE and PHI were independent predictors. AUCs for both nomograms, in patients with normal DRE had shown to have a good discriminatory ability (77.2?86.2%). In the entire population AUC of nomogram had exceptional discrimination (92.9%). Zhu et al. nomogram is associated with lower false positive predictions. The calibration belt for Zhu et al. nomogram was acceptable. Our DCA suggested that both nomograms are likely to be clinically useful. Conclusion. We performed external validation of two PHI-based nomograms predicting the presence of PCa in both the initial and the repeat biopsy setting. The PHI-based nomograms displayed adequate accuracy and justifies its use in Serbian patients.

scholarly journals The use of prostate specific antigen density to predict clinically significant prostate cancer

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Igor Yusim ◽  
Muhammad Krenawi ◽  
Elad Mazor ◽  
Victor Novack ◽  
Nicola J. Mabjeesh
Keyword(s):  
Prostate Cancer ◽  
Prostate Specific Antigen ◽  
Prostate Biopsy ◽  
Prostate Volume ◽  
Characteristic Curve ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Prostate Adenocarcinoma ◽  
Prostate Specific Antigen Density ◽  
Clinically Significant

AbstractThe purpose of this study was to assess the predictive value of prostate specific antigen density (PSAD) for detection of clinically significant prostate cancer in men undergoing systematic transrectal ultrasound (TRUS)-guided prostate biopsy. We retrospectively analyzed data of men who underwent TRUS-guided prostate biopsy because of elevated PSA (≤ 20 ng/ml) or abnormal digital rectal examination. Receiver operating characteristic curve analysis to compare PSA and PSAD performance and chi-square automatic interaction detector methodologies were used to identify predictors of clinically significant cancer (Gleason score ≥ 7 or international society of urological pathology grade group ≥ 2). Nine-hundred and ninety-two consecutive men with a median age of 66 years (IQR 61–71) were included in the study. Median PSAD was 0.10 ng/ml2 (IQR 0.10–0.22). Prostate adenocarcinoma was diagnosed in 338 men (34%). Clinically significant prostate adenocarcinoma was diagnosed in 167 patients (50% of all cancers and 17% of the whole cohort). The AUC to predict clinically significant prostate cancer was 0.64 for PSA and 0.78 for PSAD (P < 0.001). The highest Youden's index for PSAD was at 0.20 ng/ml2 with 70% sensitivity and 79% specificity for the diagnosis of clinically significant cancer. Men with PSAD < 0.09 ng/ml2 had only 4% chance of having clinically significant disease. The detection rate of clinically significant prostate cancer in patients with PSAD between 0.09 and 0.19 ng/ml2 was significantly higher when prostate volume was less than 33 ml. In conclusion, PSAD was a better predictor than PSA alone of clinically significant prostate cancer in patients undergoing TRUS-guided biopsy. Patients with PSAD below 0.09 ng/ml2 were unlikely to harbor clinically significant prostate cancer. Combining PSAD in the gray zone (0.09–0.19) with prostate volume below 33 ml adds diagnostic value of clinically significant prostate cancer.

Comparison of PHI and PHI Density for Prostate Cancer Detection in a Large Retrospective Caucasian Cohort

2021 ◽  
pp. 1-6
Author(s):  
Robert Peters ◽  
Carsten Stephan ◽  
Klaus Jung ◽  
Michael Lein ◽  
Frank Friedersdorff ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Volume ◽  
Specific Antigen ◽  
Roc Curves ◽  
Net Benefit ◽  
Threshold Probability ◽  
Free Psa ◽  
Prostate Health Index ◽  
Caucasian Cohort ◽  
Prostate Health

<b><i>Background:</i></b> Beyond prostate-specific antigen (PSA), other biomarkers for prostate cancer (PCa) detection are available and need to be evaluated for clinical routine. <b><i>Objective:</i></b> The aim of the study was to evaluate the Prostate Health Index (PHI) density (PHID) in comparison with PHI in a large Caucasian group &#x3e;1,000 men. <b><i>Methods:</i></b> PHID values were used from available patient data with PSA, free PSA, and [−2]pro­PSA and prostate volume from 3 former surveys from 2002 to 2014. Those 1,446 patients from a single-center cohort included 701 men with PCa and 745 with no PCa. All patients received initial or repeat biopsies. The diagnostic accuracy was evaluated by receiver operating characteristic (ROC) curves comparing area under the ROC curves (AUCs), precision-recall approach, and decision curve analysis (DCA). <b><i>Results:</i></b> PHID medians differed almost 2-fold between PCa (1.12) and no PCa (0.62) in comparison to PHI (48.6 vs. 33; <i>p</i> always &#x3c;0.0001). However, PHID and PHI were equal regarding the AUC (0.737 vs. 0.749; <i>p</i> = 0.226), and the curves of the precision-recall analysis also overlapped in the sensitivity range between 70 and 100%. DCA had a maximum net benefit of only ∼5% for PHID versus PHI between 45 and 55% threshold probability. Contrary, in the 689 men with a prostate volume ≤40 cm<sup>3</sup>, PHI (AUC 0.732) showed a significant larger AUC than PHID (AUC 0.69, <i>p</i> = 0.014). <b><i>Conclusions:</i></b> Based on DCA, PHID had only a small advantage in comparison with PHI alone, while ROC analysis and precision-recall analysis showed similar results. In smaller prostates, PHI even outperformed PHID. The increment for PHID in this large Caucasian cohort is too small to justify a routine clinical use.

scholarly journals Correlation of Hypoechoic Lesions in Trans-rectal Ultrasound of Prostate with Histopathology in Prostate Cancer

2020 ◽  
Vol 42 (2) ◽  
pp. 76-79
Author(s):  
Dinesh Chataut ◽  
Babin Basnet ◽  
Benu Lohani ◽  
Sundar Suwal ◽  
Sharma Paudel ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Gold Standard ◽  
Detection Rate ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Elderly Male ◽  
Common Cancer ◽  
In Trans ◽  
Focus Detection

Introduction Prostate cancer is one of the most common cancer in elderly male. Suspicion of prostate cancer is based on increased Prostate Specific Antigen (PSA) level and abnormal digital rectal examination (DRE) findings. Transrectal ultrasonography (TRUS) can detect and localize hypoechoic lesions in prostate which are considered as suspicious for malignancy. TRUS can also guide for prostate biopsy, which is the gold standard for diagnosis of prostate cancer. The study was aimed to find out TRUS findings in suspected prostate cancer patients and correlate these findings with histopathological findings. MethodsProspective study was done in 66 males of age >40 years, sent for prostate biopsy in suspicion for prostate cancer (PSA >4 ng/ml, and/or abnormal DRE findings). Prostate was evaluated with TRUS and subsequently underwent TRUS guided six core biopsy of prostate. Total 396 cores of biopsy were taken. Histopathology reports were collected and correlated with the TRUS findings. ResultsTwenty three patients were positive for prostate cancer and 14 of them showed hypoechoic lesions in TRUS. Total 81 suspicious hypoechoic lesions were seen in prostate of all the patients and among them 42 lesions matched with histopathology report for cancer. Cancerous focus detection rate of TRUS was 51.85%. ConclusionTRUS is a supplementary tool in diagnosis of prostate cancer, however when used alone it has less sensitivity for detection of prostate cancer.

Urinary miR-183 and miR-205 do not surpass PCA3 in urine as predictive markers for prostate biopsy outcome despite their highly dysregulated expression in prostate cancer tissue

2015 ◽  
Vol 53 (7) ◽  
Author(s):  
Carsten Stephan ◽  
Monika Jung ◽  
Silke Rabenhorst ◽  
Ergin Kilic ◽  
Klaus Jung
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Specific Antigen ◽  
Critical Evaluation ◽  
Sample Size Calculation ◽  
Digital Rectal Examination ◽  
Predictive Marker ◽  
Testing Procedure ◽  
Cancer Tissue ◽  
Few Data

AbstractMicroRNAs (miRNAs) have shown to be promising novel biomarkers in various cancers. We aimed to translate the results of an own previous tissue-based miRNA profile of prostate carcinoma (PCa) with upregulated miR-183 and downregulated miR-205 into a urine-based testing procedure for diagnosis of PCa.Urine sediments were prepared from urine samples collected after a standardized digital-rectal examination (DRE) of patients undergoing prostate biopsy with PSA (prostate-specific antigen) values <20 μg/L in consecutive order. According to the sample-size calculation (α=0.05, power=0.95), 38 patients each with PCa and without PCa were randomly enrolled in this study. PCA3 (prostate cancer associated 3) in urine as Food and Drug Administration-approved assay was determined as reference standard for comparison. The miRNAs were measured by RT-qPCR using TaqMan assays and normalized using different approaches.Both miRNAs were correlated to the mRNA PSA concentrations in the sediments indicating a relationship to the released prostate cells after DRE. However, they had no discriminating capacity between patients with and without PCa. In contrast, PCA3 clearly differentiated between these two patients groups. There was also no significant correlation between miRNAs and standard clinicopathologic variables like Gleason score and serum PSA.The data of our study show that miR-183 and miR-205 failed to detect early and aggressive PCa despite their highly dysregulated expression in cancer tissue. Our results and the critical evaluation of the few data of other studies raise serious doubts concerning the capability of urinary miRNAs to replace or improve PCA3 as predictive marker for prostate biopsy outcome.

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