Urinary cytology has a poor performance for predicting invasive or high-grade upper-tract urothelial carcinoma

2011 ◽  
pp. no-no ◽  
Author(s):  
Jamie Messer ◽  
Shahrokh F. Shariat ◽  
James C. Brien ◽  
Michael P. Herman ◽  
Casey K. Ng ◽  
...  
2020 ◽  
Vol 14 ◽  
pp. 117955492092766
Author(s):  
Runzhuo Ma ◽  
Haizhui Xia ◽  
Min Qiu ◽  
Liyuan Tao ◽  
Min Lu ◽  
...  

Background: To develop a novel nomogram to improve the preoperative diagnosis of pathological grade of upper tract urothelial carcinoma (UTUC). Methods: Retrospective study was conducted with 245 patients with UTUC treated by radical nephroureterectomy from 2002 to 2016. Of the cohort, 57.6% received ureteroscopic (URS) biopsy and 35.9% received urine cytology examination. Preoperative clinical characteristics and examination results were collected. Final pathological grade was diagnosed by postoperative pathology. Univariable and multivariable binary logistic regressions were applied to establish a preoperative predictive model for tumor grade, and significant factors were included in the nomogram. The area under curve (AUC) was used to show the predictive efficacy, and the calibration plot was drawn for validation. Results: Of the 245 patients, 72.7% were diagnosed with pathological high-grade disease. Age (odds ratio [OR] = 1.03, P = .039), sessile (OR = 3.86, P = .021), positive urinary cytology (OR = 6.87, P = .035), and biopsy high-grade result (OR = 10.85, P < .001) were independent predictors for pathological high-grade disease. The predictive nomogram containing these factors achieved an AUC of 0.78, which was significantly better than URS biopsy alone (AUC = 0.62, P = .003) in the whole cohort. In the URS biopsy subgroup, the nomogram achieved an AUC of 0.79, better than biopsy alone (AUC = 0.76), but was not statistically significant ( P = .431). When the cutoff value of the nomogram was set at 0.64, the sensitivity of detecting a high-grade lesion versus low-grade lesion was 80.3%, better than that of URS biopsy alone (sensitivity = 65.7%). Conclusions: Advanced age, sessile, positive urinary cytology, and biopsy high-grade were independent predictors of pathological high-grade disease in patients with UTUC. A nomogram containing these factors can improve diagnostic accuracy, potentially reducing the risk of “undergrading” by URS biopsy.


2021 ◽  
Vol 39 (1) ◽  
pp. 74.e9-74.e16
Author(s):  
Joseph G. Cheaib ◽  
Lauren E. Claus ◽  
Hiten D. Patel ◽  
Max R. Kates ◽  
Andres Matoso ◽  
...  

2018 ◽  
Vol 104 (6) ◽  
pp. 451-458 ◽  
Author(s):  
Yu-Peng Wu ◽  
Yun-Zhi Lin ◽  
Min-Yi Lin ◽  
Ting-Ting Lin ◽  
Shao-Hao Chen ◽  
...  

Purpose: The aim of this work was to investigate the predictive factors for bladder cancer recurrence survival (BCRS) in patients with upper-tract urothelial carcinoma (UTUC). Methods: We selected patients with UTUC who underwent segmental ureterectomy (Su) or nephroureterectomy (Nu) from 2004 to 2013 from the Surveillance, Epidemiology, and End Results (SEER) database. Patients with a history of intravesical therapy for bladder cancer and bladder cancer prior to the diagnosis of UTUC were excluded. We used Kaplan-Meier analysis, log-rank tests, and Cox proportional hazards model to compare overall survival, cancer-specific survival, and BCRS. Results: In a cohort of 1,454 patients, 169 (11.6%) had low-grade tumors and 1,285 (88.4%) had high-grade tumors; 239 (16.4%) underwent Su and 1,215 (83.6%) underwent Nu. We found that T4 grade (hazard ratio [HR] = 6.216; 95% confidence interval [CI], 3.197-12.087) and ureteral tumors (HR = 1.764; 95% CI, 1.173-2.652) were predictors of shorter BCRS, whereas Nu (HR = 0.608; 95% CI, 0.388-0.953) predicted longer BCRS. Five-year BCRS rates were low-grade tumors: 94.1%, high-grade tumors: 85.4% (p = 0.038); plus Su: 82.9%, and Nu: 87.6% (p = 0.016). Conclusions: Use of Su should be more selective for high-grade tumors, as it correlates with shorter BCRS. Tumors located in the ureter are associated with shorter BCRS than those located in the renal pelvis.


BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Wen Liu ◽  
Zhankun Wang ◽  
Shuai Liu ◽  
Yu Yao ◽  
Yong Liu ◽  
...  

Abstract Background Performance of urinary cytology is recommended as the part of a standard diagnostic workup and base surveillance regimens in upper tract urothelial carcinoma (UTUC). However, the effect of positive voided urine cytology (VUC) on UTUC prognosis, compared with negative VUC, has not been fully demonstrated. This study aimed to evaluate the impact of preoperative VUC on predicting intravesical recurrence, disease recurrence, and mortality in patients with UTUC who underwent nephroureterectomy (RNU). Methods Clinicopathological information was collected from 315 UTUC patients treated with RNU. The association between VUC and oncological outcomes was analyzed using the Kaplan–Meier method with log-rank test and Cox proportional hazards regression models. Multiple logistic regression analysis was performed to identify the influence of VUC on tumor grade. Results Preoperative positive VUC, presenting in 101 patients (32%), was significantly associated with tumor multifocality (P = 0.017) and higher tumor grade (P = 0.010). On multivariable Cox regression analyses, preoperative positive VUC was an independent prognostic factor of intravesical recurrence-free survival (RFS) (hazard ratio [HR] = 2.21, 95% confidence interval [CI] 1.06–4.64; P = 0.035), RFS (HR = 1.80, 95% CI 1.08–2.99; P = 0.023), and cancer-specific survival (CSS) (HR = 1.87, 95% CI 1.10–3.18; P = 0.020), but not overall survival (HR = 1.32, 95% CI 0.80–2.18; P = 0.28). Logistic regression analysis revealed that VUC was related to high tumor grade in UTUC (odds ratio = 2.23, 95%CI 1.15–4.52). Conclusion Preoperative positive VUC significantly increases the risk of intravesical recurrence in UTUC patients undergoing RNU. In addition, positive VUC is an adverse predictor of RFS and CSS, which might be due to the association between positive VUC and high tumor grade.


Author(s):  
M. Lisa Zhang ◽  
Christopher J. VandenBussche ◽  
Jen-Fan Hang ◽  
Yurina Miki ◽  
Patrick J. McIntire ◽  
...  

Urology ◽  
2019 ◽  
Vol 129 ◽  
pp. 146-152 ◽  
Author(s):  
Xiaosong Meng ◽  
Brian Chao ◽  
Varun Vijay ◽  
Hayley Silver ◽  
Ezra J. Margolin ◽  
...  

2017 ◽  
Vol 197 (3 Part 1) ◽  
pp. 580-589 ◽  
Author(s):  
Laura-Maria Krabbe ◽  
Okyaz Eminaga ◽  
Shahrokh F. Shariat ◽  
Ryan C. Hutchinson ◽  
Yair Lotan ◽  
...  

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