Estimation of prostate cancer volume by multiple core biopsies before radical prostatectomy. 1998

L Egevad, and M Norberg, and S Mattson, and B J Norlén, and C Busch
Department of Pathology, Uppsala University, Sweden.

OBJECTIVE To investigate whether tumor volume, an important prognostic factor in prostate cancer, could be estimated from the amount of cancer in multiple core biopsies. METHODS In 80 men, transrectal ultrasound-guided biopsies were taken from focal lesions detected by ultrasound and 8 to 10 standardized positions, including sextant biopsies (apex, midmedial, base) and midlateral and transition zone biopsies. The cancer length in the biopsies was measured. After radical prostatectomy, the prostates were totally embedded, whole-mounted, and tumor volume was measured planimetrically. RESULTS The tumor volume correlated significantly with the total cancer length of all biopsies (r = 0.56) and of the sextant biopsies (r = 0.39). It was found that midlateral and transition zone biopsies provided independent information when included in a multiple regression model with tumor volume as the dependent variable and the sextant biopsies as explanatory variables. All men (n = 6) with less than 3 mm cancer length in only one positive biopsy and a Gleason score less than 7 had a tumor volume less than 1 mL. Nine of 10 men with less than 7 mm of cancer in one positive biopsy and Gleason score less than 7 had tumors smaller than 1 mL. Sextant biopsies did not reliably predict cancer volumes less than 1 mL. CONCLUSIONS The cancer yield of 8 to 10 biopsies correlated better with the volume of prostate cancer than sextant biopsies. This extended biopsy protocol could be used to predict cancers of less than 1 mL in volume.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011300 Preoperative Care Care given during the period prior to undergoing surgery when psychological and physical preparations are made according to the special needs of the individual patient. This period spans the time between admission to the hospital to the time the surgery begins. (From Dictionary of Health Services Management, 2d ed) Care, Preoperative,Preoperative Procedure,Preoperative Procedures,Procedure, Preoperative,Procedures, Preoperative
D011468 Prostatectomy Complete or partial surgical removal of the prostate. Three primary approaches are commonly employed: suprapubic - removal through an incision above the pubis and through the urinary bladder; retropubic - as for suprapubic but without entering the urinary bladder; and transurethral (TRANSURETHRAL RESECTION OF PROSTATE). Prostatectomy, Retropubic,Prostatectomy, Suprapubic,Prostatectomies,Prostatectomies, Retropubic,Prostatectomies, Suprapubic,Retropubic Prostatectomies,Retropubic Prostatectomy,Suprapubic Prostatectomies,Suprapubic Prostatectomy
D011471 Prostatic Neoplasms Tumors or cancer of the PROSTATE. Cancer of Prostate,Prostate Cancer,Cancer of the Prostate,Neoplasms, Prostate,Neoplasms, Prostatic,Prostate Neoplasms,Prostatic Cancer,Cancer, Prostate,Cancer, Prostatic,Cancers, Prostate,Cancers, Prostatic,Neoplasm, Prostate,Neoplasm, Prostatic,Prostate Cancers,Prostate Neoplasm,Prostatic Cancers,Prostatic Neoplasm
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly

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