PSA and new biomarkers within multivariate models to improve early detection of prostate cancer

Stephan, Carsten; Cammann, Henning; Meyer, Hellmuth-A.; Lein, Michael; Jung, Klaus

doi:10.1016/j.canlet.2006.12.031

Cited by 57 publications

(30 citation statements)

References 69 publications

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“…ROC curve analysis has been criticized when it is used as the only tool to differentiate between 2 cohorts (28,29 ), and results can be misinterpreted (18 ). Our results, however, confirm reviewed data (8,22 ) that show a general advantage of %fPSA-based multivariate models for PCa detection.…”

Section: Discussionsupporting

confidence: 74%

“…Multivariate models, such as artificial neural networks or logistic regression-based nomograms, improve PCa risk prediction by combining tPSA, %fPSA, age, digital rectal examination (DRE) results, and/or prostate volume (8,9 ). The frequent use of nomograms as PCa-classification models and for recurrence prediction has recently been reviewed (8,10 ).…”

confidence: 99%

“…The frequent use of nomograms as PCa-classification models and for recurrence prediction has recently been reviewed (8,10 ). The inclusion of %fPSA in nomograms has improved the accuracy of PCa diagnosis (11,12 ).…”

confidence: 99%

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Between-Method Differences in Prostate-Specific Antigen Assays Affect Prostate Cancer Risk Prediction by Nomograms

et al. 2011

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Section: Discussionsupporting

confidence: 74%

confidence: 99%

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Between-Method Differences in Prostate-Specific Antigen Assays Affect Prostate Cancer Risk Prediction by Nomograms

et al. 2011

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“…It can facilitate therapeutic planning for brachytherapy, cryotherapy, and minimally invasive benign prostatic hyperplasia therapy ( 3-7 ). Prostate-specifi c antigen levels have been modifi ed to derive the prostate-specifi c antigen density by incorporating PV calculations to help guide clinical decisions ( 8,9 ). The clinical value of prostate-specifi c antigen density, however, is dependent on the quality of the PV estimate.…”

Section: Methodsmentioning

confidence: 99%

Automated Computer-derived Prostate Volumes from MR Imaging Data: Comparison with Radiologist-derived MR Imaging and Pathologic Specimen Volumes

Bulman¹,

Tóth²,

Patel

et al. 2012

Radiology

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Purpose:To compare prostate gland volume (PV) estimation of automated computer-generated multifeature active shape models (MFAs) performed with 3-T magnetic resonance (MR) imaging with that of other methods of PV assessment, with pathologic specimens as the reference standard. Materials and Methods:All subjects provided written informed consent for this HIPAA-compliant and institutional review board-approved study. Freshly weighed prostatectomy specimens from 91 patients (mean age, 59 years; range, 42-84 years) served as the reference standard. PVs were manually calculated by two independent readers from MR images by using the standard ellipsoid formula. Planimetry PV was calculated from gland areas generated by two independent investigators by using manually drawn regions of interest.Computer-automated assessment of PV with an MFA was determined by the aggregate computer-calculated prostate area over the range of axial T2-weighted prostate MR images. Linear regression, linear mixed-effects models, concordance correlation coeffi cients, and Bland-Altman limits of agreement were used to compare volume estimation methods. Results:MFA-derived PVs had the best correlation with pathologic specimen PVs (slope, 0.888). Planimetry derived volumes produced slopes of 0.864 and 0.804 for two independent readers when compared with specimen PVs. Ellipsoid formula-derived PVs had slopes closest to one when compared with planimetry PVs. Manual MR imaging and MFA PV estimates had high concordance correlation coefficients with pathologic specimens. Conclusion:MFAs with axial T2-weighted MR imaging provided an automated and effi cient tool with which to assess PV. Both MFAs and MR imaging planimetry require adjustments for optimized PV accuracy when compared with prostatectomy specimens.q RSNA, 2012

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“…In this situation, the sensitivity of screening was 57.1% and the specificity was 63.8%. The diagnostic rate reached 22.9% when coupled with biopsy by ultrasonic guidance, given f/t PSA ratios under 0.10 and PSA content in the range of 2.5-4.0 ng mL −1 [27,28]. In addition, PSA density and PSA volocity were other important potential references for prostate cancer diagnosis [29,30].…”

Section: No Current Test Can Replace Serum Psa For Mass Scree Ning Ofmentioning

confidence: 99%

Diagnostic strategies and the incidence of prostate cancer: reasons for the low reported incidence of prostate cancer in China

Zhang¹,

Wu²,

Guo³

et al. 2008

Asian J Androl

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We have analysed the reasons for the low reported incidence of prostate cancer in China and argue for early diagnosis and treatment of this disease. According to the 2002 database of the International Agency for Research on Cancer (IARC), the age-standardized incidence of prostate cancer in China is 1.6/10 5 person years (PY), with a mortality rate of 1.0/10 5 PY and mortality-to-incidence rate ratio (MR/IR) = 0.63. The MR/IR ratio of prostate cancer in China was found to be higher than the average in Asia (MR/IR = 0.57) and much higher than that in North America (MR/IR = 0.13). These data indicate that in China most prostate cancers were in the advanced stages at the time of diagnosis, and that patients had a short survival time thereafter. In 2004, Stamey et al. reported a retrospective American study of prostate cancer for the years 1983-2003. It was shown that most cases of prostate cancer detected by prostate-specific antigen (PSA) screening were in the advanced stage at the start of this 20-year period. These early follow-up data are quite similar to the results obtained from mass PSA screening of elderly men in Changchun, China. However, after the American programmes for early diagnosis and treatment of prostate cancer were accepted, tumours were diagnosed at earlier stages. On the basis of these findings, mass screening should be performed in the whole of China using serum PSA to facilitate early diagnosis and treatment of prostate cancer.

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PSA and new biomarkers within multivariate models to improve early detection of prostate cancer

Cited by 57 publications

References 69 publications

Between-Method Differences in Prostate-Specific Antigen Assays Affect Prostate Cancer Risk Prediction by Nomograms

Between-Method Differences in Prostate-Specific Antigen Assays Affect Prostate Cancer Risk Prediction by Nomograms

Automated Computer-derived Prostate Volumes from MR Imaging Data: Comparison with Radiologist-derived MR Imaging and Pathologic Specimen Volumes

Diagnostic strategies and the incidence of prostate cancer: reasons for the low reported incidence of prostate cancer in China

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