Rapid prescreening of Papanicolaou smears: a practical and efficient quality control strategy.
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Biomedical subjects
Publications and source records attributed to Andrew Renshaw.
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OBJECTIVES: To determine whether pretreatment risk groups also predict for posttreatment prostate-specific antigen (PSA) doubling times (PSADTs). Pretreatment risk groups predict for posttreatment biochemical failure (BF) after conformal radiotherapy in patients with prostate cancer and posttreatment PSADTs can predict for prostate cancer-related deaths. METHODS: The study cohort consisted of 416 patients with clinically localized prostate cancer treated with conformal radiotherapy between 1989 and 2001. The patients were divided into low, intermediate, and high-risk groups. BF was defined using the American Society for Therapeutic Radiology and Oncology consensus definition. Patients with BF were grouped according to their PSADT (3 months or less, longer than 3 months to less than 6 months, 6 months to less than 12 months, and 12 months or longer). A Mantle-Haenszel chi-square metric tested for an association between the pretreatment risk group and the PSADT. Logistic regression multivariate analysis was performed to evaluate whether the pretreatment risk group predicted the PSADT. RESULTS: Of the 416 patients, 96 (23%), 194 (47%), and 126 (30%) were categorized as low, intermediate, and high risk, respectively. A total of 92 patients (22%) experienced BF. Of these 92 patients, the PSADT was 3 months or less in 6 (7%), longer than 3 months to less than 6 months in 13 (14%), 6 months to less than 12 months in 35 (36%), and 12 months or longer in 38 (41%). The pretreatment risk group correlated significantly with the PSADT (P = 0.026). Logistic regression analysis revealed that intermediate and high-risk disease was significantly associated with shorter PSADTs (P = 0.039). CONCLUSIONS: A significant association between the pretreatment risk group and posttreatment PSADT was demonstrated. Use of this selection criterion at diagnosis for more aggressive treatment appears warranted.
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OBJECTIVES: To determine which preoperative and postoperative factors were predictive of the time to prostate-specific antigen (PSA) failure after radical retropubic prostatectomy (RRP) for patients with seminal vesicle invasion (SVI). SVI by prostate cancer is associated with high PSA failure rates after RRP and subsequent distant metastases. METHODS: Between 1988 and 2002, 1697 patients with prostate cancer underwent RRP at Brigham and Women's Hospital, of whom 103 (6%) had SVI. Cox regression multivariable analysis was used to determine whether the preoperative PSA level, prostatectomy Gleason score, margin status, or presence of extraprostatic extension was predictive of the time to postoperative PSA failure. Estimates of PSA outcome were made using the actuarial method of Kaplan and Meier for patients who had none, all, or at least one of the factors that predicted for the time to postoperative PSA failure. RESULTS: The statistically significant categorical predictors of the time to PSA failure after RRP in patients with SVI included prostatectomy Gleason score of 4+3 or greater (P = 0.009), preoperative PSA level greater than 20 ng/dL when evaluated as a categorical or as a continuous variable (P = 0.002 and P = 0.001, respectively), and margin positivity (P = 0.075) which was of borderline significance. The 3-year estimate of PSA control was 52% to 100%, 28%, and 0% for patients with negative margins, preoperative PSA less than 20 ng/dL, and prostatectomy Gleason score of 3+4 or less versus having one to two or all three predictors of the time to postoperative PSA failure. CONCLUSIONS: The PSA outcome after RRP for patients with SVI varies depending on the preoperative PSA level, prostatectomy Gleason score, and margin status.
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PURPOSE: Algorithms have been developed to predict time to biochemical failure (BF) following radical prostatectomy (RP) for patients with clinically localized prostate cancer. The purpose of this study was to validate an algorithm based on prostatectomy findings and to evaluate whether the preoperative serum prostate specific antigen (PSA) enhances the predictive ability of the algorithm. MATERIALS AND METHODS: Between 1988 and 2002, 2417 patients underwent RP for clinically localized prostate cancer at one of 2 large university hospitals. Patients were retrospectively stratified into 4 risk groups based upon prostatectomy grade, stage, and margin status, and were then dichotomized by the preoperative PSA level (cut point 10 ng/mL). Cox regression multivariable analyses were performed to evaluate the ability of the risk group and preoperative PSA level to predict time to BF (PSA more than 0.2 ng/mL) following RP. RESULTS: The preoperative PSA level (P < 0.0001) and risk group (P < 0.0001) were significant predictors of time to BF following RP. Estimates of the BF rates 7 years following RP were 13%, 30%, 51%, and 72% for groups 1-4, respectively (pairwise P values <or=0.0002). Further stratification within each risk group using the preoperative PSA level with a cut point at 10 ng/mL revealed BF rates of 8% versus 35%, 25% versus 54%, 31% versus 73%, and 63% versus 86% for risk groups 1-4, respectively (all P values <0.0001). CONCLUSIONS: An algorithm to predict BF based on prostatectomy findings has been validated, and the addition of the preoperative PSA level improved its ability to identify high risk patients who may benefit from entry into adjuvant treatment trials.