首页 | 本学科首页   官方微博 | 高级检索  
     


Risk groups in bladder cancer patients treated with radical cystectomy
Authors:Eva Mallen  Pedro Gil  Maria Jesus Gil
Affiliation:1.Department of Urology, Hospital Royo Villanova, Zaragoza, Spain;;2.Deparment of Urology Hospital Miguel Servet, Zaragoza, Spain
Abstract:

Objective

To stratify patients with bladder cancer into homogeneous risk groups according to statistically significant differences found in PFS (progression-free survival). To identify those patients at increased risk of progression and to provide oncological follow-up according to patient risk group.

Materials and Methods

A retrospective study of 563 patients treated with radical cystectomy (RC). In order to determine which factors might predict bladder tumour progression and death, uni- and multivariate analyses were performed. The risk groups were identified according to “inter-category” differences found in PFS and lack of differences, thus revealing intra-category homogeneity.

Results

Median follow up time was 37.8 months. Recurrence occurred in a total of 219 patients (38, 9%). In 63% of cases this was distant recurrence. Only two variables retained independent prognostic value in the multivariate analysis for PFS: pathological organ confinement and lymph node involvement. By combining these two variables, we created a new “risk group” variable. In this second model it was found that the new variable behaved as an independent predictor associated with PFS.Four risk groups were identified: very low, low, intermediate and high risk:• Very low risk: pT0 N0• Low risk: pTa, pTis, pT1, pT2 and pN0• Intermediate risk: pT3 and pN0• High risk: pT4 N0 or pN1-3.

Conclusions

We retrospectively identified 4 risk groups with an independent prognostic value for progression-free survival following RC. Differences in recurrence patterns after RC between risk groups have led us to set different intervals in monitoring for cancer.
Keywords:Urinary Bladder Neoplasms   Cystectomy   Pathology
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号