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Abstract
Abstract Title
Development of a preoperative predictive model for two-year disease recurrence in upper tract urothelial carcinoma after radical nephroureterectomy with bladder cuff excision
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
Oncology: Bladder and UTUC
Author's Information
Number of Authors (including submitting/presenting author) *
3
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
Thailand
Co-author 1
Apinya Jiraruangtrakul pat_apinya@hotmail.com Faculty of Medicine Siriraj Hospital, Mahidol University Division of Urology, Department of Surgery Bangkok Thailand *
Co-author 2
Varat Woranisarakul varatmd@gmail.com Faculty of Medicine Siriraj Hospital, Mahidol University Division of Urology, Department of Surgery bangkok Thailand -
Co-author 3
Chalairat Suk-ouichai chalairat3008@gmail.com Faculty of Medicine Siriraj Hospital, Mahidol University Division of Urology, Department of Surgery Bangkok Thailand -
Co-author 4
Co-author 5
Co-author 6
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Co-author 8
Co-author 9
Co-author 10
Co-author 11
Co-author 12
Co-author 13
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Abstract Content
Introduction
Many patients experience significant declines in kidney function following radical nephroureterectomy with bladder cuff excision, rendering them ineligible for cisplatin-based chemotherapy (CMT) postoperatively. Identifying appropriate candidates for neoadjuvant CMT may improve patient outcomes.
Materials and Methods
This retrospective study included UTUC patients who underwent radical nephroureterectomy with bladder cuff excision between 2013 and 2023. Recurrence was defined as any disease relapse except for urothelial carcinoma of bladder (UCB) and contralateral UTUC. Cox proportional hazards regression was used to evaluate the impact of preoperative variables on recurrence risk and predictive model was developed.
Results
A total of 194 patients were included, with a 2-year recurrence rate was 27.8%. Univariable analysis identified several factors associated with the recurrence including hydronephrosis, sessile tumor architecture, clinical stage ≥ cT3, female gender, history of UCB, tumor location in the ureter, multifocal tumors and lymph node dissection. On multivariable analysis, independent predictors of recurrence were clinical stage ≥ cT3, hydronephrosis, sessile tumor architecture, history of UCB, and female gender. The predictive model incorporating these factors demonstrated good accuracy, with a concordance index (C-index) of 0.88 and a predictive scoring model was developed for the estimation of 2-year recurrence risk.
Conclusions
Using a single-center dataset, we developed a predictive model for disease recurrence following radical nephroureterectomy with bladder cuff excision. This model, demonstrating strong predictive accuracy, may aid in appropriate patient selection for neoadjuvant CMT and guide preoperative and postoperative management decisions.
Keywords
Preoperative predictive model UTUC Disease recurrence Radical nephroureterectomy with bladder cuff excision
Figure 1
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Cohort characteristic
Figure 2
https://storage.unitedwebnetwork.com/files/1237/d2d494adf233bb2af137d62a1e4fba00.jpg
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Univariable and multivariable analysis
Figure 3
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Character Count
3251
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