Prostate Volume Is Strongest Predictor of Cancer Diagnosis at Transrectal Ultrasound-Guided Prostate Biopsy with Prostate-Specific Antigen Values Between 2.0 and 9.0 ng/mL

Objectives Data have suggested benign prostatic hyperplasia, and not cancer, as the major reason for elevated prostate-specific antigen (PSA) values between 2.0 and 9.0 ng/mL. If this hypothesis were correct, within these ranges, a smaller prostate volume would be a stronger predictor of cancer than...

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Published in:Urology (Ridgewood, N.J.) N.J.), 2007, Vol.69 (1), p.103-107
Main Authors: Al-Azab, Rami, Toi, Ants, Lockwood, Gina, Kulkarni, Girish S, Fleshner, Neil
Format: Article
Language:English
Subjects:
Biological and medical sciences
Biopsy - methods
Humans
Male
Medical sciences
Middle Aged
Nephrology. Urinary tract diseases
Organ Size
Predictive Value of Tests
Prostate - pathology
Prostate-Specific Antigen - blood
Prostatic Neoplasms - blood
Prostatic Neoplasms - diagnosis
Prostatic Neoplasms - diagnostic imaging
Prostatic Neoplasms - pathology
Rectum
Ultrasonography
Urology
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Summary:Objectives Data have suggested benign prostatic hyperplasia, and not cancer, as the major reason for elevated prostate-specific antigen (PSA) values between 2.0 and 9.0 ng/mL. If this hypothesis were correct, within these ranges, a smaller prostate volume would be a stronger predictor of cancer than the PSA level itself (the relative contribution from cancer is greater in smaller glands). Methods We examined our institutional data set of transrectal ultrasound-guided procedures from 2000 to 2003. We studied patients who presented for their first prostate biopsy with a PSA level of 2.0 to 9.0 ng/mL. The indications for biopsy were elevated age-specific PSA level or abnormal digital rectal examination findings. Other covariates included patient age, abnormal transrectal ultrasound findings, transrectal ultrasound volume, and biopsy sampling scheme. Univariate analyses were used to assess the association between each variable and cancer diagnosis. Multivariate logistic regression modeling was then used to determine the adjusted risk factors for cancer at biopsy. Results On univariate analyses, all measured covariates were predictive of cancer. On multivariate modeling, the significant risk factors (in order of strength) for positive biopsy findings were smaller prostate volume (odds ratio [OR] 0.26, P
ISSN:0090-4295
1527-9995
DOI:10.1016/j.urology.2006.09.041