Division of Urology, Department of Surgery, Duke Prostate Center, Duke University Medical Center, Durham, NC 27710, USA.
Prostate Cancer Prostatic Dis. 2010 Sep;13(3):248-51. doi: 10.1038/pcan.2010.15. Epub 2010 Jun 1.
The objective of this study was to preoperatively predict non-organ-confined disease in patients considering radical prostatectomy. To account for the stage migration seen in prostate cancer, we included only those patients who underwent prostatectomy after the year 2000. Information on a cohort of 1895 patients who underwent radical prostatectomy from 2000 to 2008 was retrieved from the Duke Prostate Center database. Race (African American, non-African American), body mass index, age at surgery, PSA, biopsy Gleason sum (<7, 7 and >7) and clinical tumor stage (cT1, cT2/3) were analyzed by univariate analysis followed by logistic regression analysis. The Duke Interactive Clinical Equation for staging (DICE-S score) was calculated from the logistic regression model. The model was then internally validated using a bootstrapping technique. Biopsy Gleason sums 7 and >7 were more likely to have non-organ-confined disease compared with <7 (OR=2.97, Gleason sum=7; OR=3.25, Gleason sum>7). Clinical tumor stage, cT2/3, predicted non-organ-confined disease (OR=1.58). Older age was associated with non-organ-confined disease (OR=1.02), as was greater PSA (OR=1.12). DICE-S equation x=ln (p/1-p)=-3.627+0.019 (age)+0.109 (PSA)+1.087 (bGleason=7)+1.180 (bGleason >7)+0.459 (clinical T stage >T1), where p=(e(x))/(1+e(x)). A concordance index (prediction accuracy) of 0.73 was reached on internal validation. Using the DICE-S score, age, PSA, biopsy Gleason sum and clinical tumor stage, we can predict non-organ-confined disease in radical prostatectomy at an acceptable accuracy. Preoperative information on disease stage may aid in treatment decisions and surgical approach.
本研究旨在术前预测考虑接受根治性前列腺切除术的患者是否患有非器官局限性疾病。为了解决前列腺癌中存在的分期迁移问题,我们仅纳入了那些在 2000 年后接受前列腺切除术的患者。从 Duke 前列腺中心数据库中检索了 2000 年至 2008 年接受根治性前列腺切除术的 1895 例患者的队列信息。分析了种族(非裔美国人、非非裔美国人)、体重指数、手术时年龄、PSA、活检 Gleason 总和(<7、7 和>7)和临床肿瘤分期(cT1、cT2/3),采用单变量分析,然后采用逻辑回归分析。通过逻辑回归模型计算了 Duke 临床分期交互方程(DICE-S 评分)。然后,使用自举技术对内部分验证模型。活检 Gleason 总和 7 和>7 比<7 更有可能患有非器官局限性疾病(OR=2.97,Gleason 总和=7;OR=3.25,Gleason 总和>7)。临床肿瘤分期,cT2/3,预测非器官局限性疾病(OR=1.58)。年龄越大,非器官局限性疾病的可能性越大(OR=1.02),PSA 越高(OR=1.12)。DICE-S 方程 x=ln(p/1-p)=-3.627+0.019(年龄)+0.109(PSA)+1.087(bGleason=7)+1.180(bGleason>7)+0.459(临床 T 分期>T1),其中 p=(e(x))/(1+e(x))。内部验证达到了 0.73 的一致性指数(预测准确性)。使用 DICE-S 评分、年龄、PSA、活检 Gleason 总和和临床肿瘤分期,我们可以在可接受的准确性水平上预测根治性前列腺切除术中的非器官局限性疾病。术前疾病分期信息可能有助于治疗决策和手术方法。