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Cited by 767

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Prostate Cancer Detection in a Clinical Urological Practice by Ultrasonography, Digital Rectal Examination and Prostate Specific Antigen

Cooner, William H., Mosley, B.R., Rutherford, Charles L., Beard, Jeff H., Pond, Harry S., Terry, William J., Igel, Todd C., Kidd, Donald D.·1990·Journal of Urology

Abstract

The prostate cancer detection rate from screening by digital rectal examination and tactilely guided prostate biopsy is approximately 1.7%. Among 1,807 men a detection rate of 14.6% was achieved in a clinical urological practice by physician-conducted prostate ultrasonography, digital rectal examination and determination of serum prostate specific antigen. Results are presented in 5-year increments as well as for the group as a whole. The possible benefit to be derived from an improved detection rate is undetermined. Recommendations are made regarding the clinical use of these diagnostic modalities.

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Metadata

Authors
Cooner, W. H., Mosley, B. R., Rutherford, C. L., Beard, J. H., Pond, H. S., Terry, W. J., Igel, T. C., & Kidd, D. D.
Venue
Journal of Urology
Published
1990-06
Volume
143
Issue
6
Pages
1146-1152
ISSN
  • 0022-5347 (ISSN-L)
  • 1527-3792
OpenAlex
W1969762458
Cited by
767
References
0
FWCI
54.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Prostate Cancer Detection in a Clinical Urological Practice by Ultrasonography, Digital Rectal Examination and Prostate Specific Antigen. https://app.cochat.ai/papers/10.1016/s0022-5347(17)40211-4
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Cooner, W. H., Mosley, B. R., Rutherford, C. L., Beard, J. H., Pond, H. S., Terry, W. J., Igel, T. C., & Kidd, D. D. (1990). Prostate Cancer Detection in a Clinical Urological Practice by Ultrasonography, Digital Rectal Examination and Prostate Specific Antigen. Journal of Urology. https://doi.org/10.1016/s0022-5347(17)40211-4

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.