Preoperative Predictors Of Pathological Tumour Stage And Prognosis May Be Used When Selecting Candidates For Intensified Treatment In Upper Tract Urothelial Carcinoma

SCANDINAVIAN JOURNAL OF UROLOGY(2021)

引用 3|浏览12
暂无评分
摘要
Purpose: Intensified treatment such as extended lymph node dissection (LND) and/or perioperative chemotherapy in addition to radical nephroureterectomy (RNU) has been suggested for high-risk cases of upper tract urothelial carcinoma (UTUC). We aimed to identify preoperative predictors of tumour stage and prognosis in the diagnostic work-up before RNU. Further to evaluate if our findings could be used in selecting patients for intensified treatment.Patients and methods: A total of 179 patients treated with RNU for UTUC at Haukeland University Hospital (HUS) and Vestfold Hospital Trust (VHT) during 2005-2017 were included in this retrospective study. All relevant preoperative variables regarding the patient, the CT and the ureteroscopy (URS) were registered and analysed regarding their ability to predict non-organ confined disease (NOCD, pT3+ and/or N+) at final pathology after RNU. The prognosis was assessed calculating survival for the cohort and stratified by preoperative variables.Results: Local invasion and pathological lymph nodes at CT predicted NOCD in uni and multivariate regression analyses (OR 3.36, p=.004 and OR 6.21, p=.03, respectively). Reactive oedema surrounding the tumour (OR 2.55, p=.02), tumour size (4.8 vs. 3.9 cm, p=.006) and high-grade tumour at URS biopsy (OR 3.59, p=.04) predicted NOCD at univariate regression analyses. The 5-year CSS and OS for the entire cohort was 79% and 60%. ECOG, local invasion, pathological lymph nodes and reactive oedema surrounding the tumour at CT predicted CSS.Conclusions: Several variables at the CT predicted both stage and survival. Local invasion at CT seems the most promising feature for selecting patients for intensified treatment.
更多
查看译文
关键词
Upper tract urothelial carcinoma, diagnostic work-up, urothelial carcinoma, intensified treatment, ureteroscopy, computed tomography
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要