Predictive modeling for the presence of prostate carcinoma using clinical, laboratory, and ultrasound parameters in patients with prostate specific antigen levels ≤ 10 ng/mL

Garzotto, Mark; Hudson, Rebekah; Peters, Laura; Hsieh, Yu‐Chia; Barrera, E Alejandro; Mori, Motomi; Beer, Tomasz M.; Klein, Thomas

doi:10.1002/cncr.11668

Cited by 95 publications

(66 citation statements)

References 39 publications

(25 reference statements)

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“…While these results are similar with those reported from previous studies ( Table 3), [15][16][17][18][19] this is the first report to do so in a Chinese population, using a Chinese cohort. Recently, a systematic review comparing different models for predicting the risk of a positive prostate biopsy using PSA levels alone was reported.…”

supporting

confidence: 92%

A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer

Tang¹,

Chen²,

Uhlman³

et al. 2012

Asian J Androl

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Nomograms for predicting the risk of prostate cancer developed using other populations may introduce sizable bias when applied to a Chinese cohort. In the present study, we sought to develop a nomogram for predicting the probability of a positive initial prostate biopsy in a Chinese population. A total of 535 Chinese men who underwent a prostatic biopsy for the detection of prostate cancer in the past decade with complete biopsy data were included. Stepwise logistic regression was used to determine the independent predictors of a positive initial biopsy. Age, prostate-specific antigen (PSA), prostate volume (PV), digital rectal examination (DRE) status, % free PSA and transrectal ultrasound (TRUS) findings were included in the analysis. A nomogram model was developed that was based on these independent predictors to calculate the probability of a positive initial prostate biopsy. A receiver-operating characteristic curve was used to assess the accuracy of using the nomogram and PSA levels alone for predicting positive prostate biopsy. The rate for positive initial prostate biopsy was 41.7% (223/535). The independent variables used to predict a positive initial prostate biopsy were age, PSA, PV and DRE status. The areas under the receiver-operating characteristic curve for a positive initial prostate biopsy for PSA alone and the nomogram were 79.7% and 84.8%, respectively. Our results indicate that the risk of a positive initial prostate biopsy can be predicted to a satisfactory level in a Chinese population using our nomogram. The nomogram can be used to identify and counsel patients who should consider a prostate biopsy, ultimately enhancing accuracy in diagnosing prostate cancer.

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supporting

confidence: 92%

A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer

Tang¹,

Chen²,

Uhlman³

et al. 2012

Asian J Androl

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“…The combination of biomarkers, clinical and demographic data has produced substantial, but not yet sufficient, progress toward the goal of optimal screening strategies for selecting appropriate patients for prostate biopsy. 4,5 Previous results have provided reason to think that serum levels of suPAR components may be linked to PCa. The plasminogen activation cascade has been reported to participate in degradation of extracellular matrix during cancer progression.…”

Section: Discussionmentioning

confidence: 99%

Free PSA isoforms and intact and cleaved forms of urokinase plasminogen activator receptor in serum improve selection of patients for prostate cancer biopsy

Steuber

Vickers

Haese

et al. 2007

Intl Journal of Cancer

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Clinicians currently use simple cut-points, such as serum prostatespecific antigen (PSA) 4 ng/ml, to decide whether to recommend further work-up for prostate cancer (PCa). As an alternative strategy, we evaluated multivariable models giving probabilities of a PCa diagnosis based on PSA and several circulating novel biomarkers. We measured total PSA, free PSA (fPSA), fPSA subfractions (single-chain fPSA-I and multichain fPSA-N), total human glandular kallikrein 2 (hK2) and full-length and cleaved forms of soluble urokinase plasminogen activator receptor (suPAR) in pretreatment serum from 355 men referred for prostate biopsy. Age and total PSA were combined in a ''base'' regression model to predict biopsy outcome. We then compared this base model to models supplemented by various combinations of circulating markers, using concordance index (AUC) to measure diagnostic discrimination. PCa prediction was significantly enhanced by models supplemented by measurements of suPAR fragments and fPSA isoforms. Addition of these markers improved bootstrap-corrected AUC from 0.611 for a cut-point and 0.706 for the base model to 0.754 for the full model (p 5 0.005). This improved diagnostic accuracy was also seen in subanalysis of patients with PSA 2-9.99 ng/ml and normal findings on DRE (0.652 vs. 0.715, p 5 0.039). In this setting, hK2 did not add diagnostic information. Measurements of individual forms of suPAR and PSA isoforms contributed significantly to discrimination of men with PCa from those with no evidence of malignancy. ' 2006 Wiley-Liss, Inc.

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“…Bu nedenle gereksiz biyopsilerden kaçınmak için çeşitli araştırmacı gruplar tarafından öngörü nomogramları geliştirilmiştir. Bu nomogramlar oluşturulurken, yaş, ırk, aile öyküsü, PRM, PSA, PSAD ve TRUS bulguları gibi değişkenler temel alınmaktadır (15,16). Çalışmamızdaki tüm hastaların PSA değerleri 2,5-10 ng/ ml arasındadır ve prostat kanseri oranımız %18,1 olarak saptanmıştır.…”

Section: Bulgularunclassified

Is Prostate Specific Antigen Density more Important than in the Diagnosis of Prostate Cancer in Patients with a Total Prostate Specific Antigen Value <10 ng/mL?

Çoban¹,

Türkoğlu²,

Kurtoğlu³

et al. 2015

uob

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Predictive modeling for the presence of prostate carcinoma using clinical, laboratory, and ultrasound parameters in patients with prostate specific antigen levels ≤ 10 ng/mL

Cited by 95 publications

References 39 publications

A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer

A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer

Free PSA isoforms and intact and cleaved forms of urokinase plasminogen activator receptor in serum improve selection of patients for prostate cancer biopsy

Is Prostate Specific Antigen Density more Important than in the Diagnosis of Prostate Cancer in Patients with a Total Prostate Specific Antigen Value <10 ng/mL?

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