Combining imaging and ureteroscopy variables in a preoperative multivariable model for prediction of muscle-invasive and non-organ confined disease in patients with upper tract urothelial carcinoma Journal Article


Authors: Favaretto, R. L.; Shariat, S. F.; Savage, C.; Godoy, G.; Chade, D. C.; Kaag, M.; Bochner, B. H.; Coleman, J.; Dalbagni, G.
Article Title: Combining imaging and ureteroscopy variables in a preoperative multivariable model for prediction of muscle-invasive and non-organ confined disease in patients with upper tract urothelial carcinoma
Abstract: Objective: • To create a preoperative multivariable model to identify patients at risk of muscle-invasive (pT2+) upper tract urothelial carcinoma (UTUC) and/or non-organ confined (pT3+ or N+) UTUC (NOC-UTUC) who potentially could benefit from radical nephroureterectomy (RNU), neoadjuvant chemotherapy and/or an extended lymph node dissection. Patients and Methods: • We retrospectively analysed data from 324 consecutive patients treated with RNU between 1995 and 2008 at a tertiary cancer centre. • Patients with muscle-invasive bladder cancer were excluded, resulting in 274 patients for analysis. • Logistic regression models were used to predict pT2+ and NOC-UTUC. Pre-specified predictors included local invasion (i.e. parenchymal, renal sinus fat, or periureteric) on imaging, hydronephrosis on imaging, high-grade tumours on ureteroscopy, and tumour location on ureteroscopy. • Predictive accuracy was measured by the area under the curve (AUC). Results: • The median follow-up for patients without disease recurrence or death was 4.2 years. • Overall, 49% of the patients had pT2+, and 30% had NOC-UTUC at the time of RNU. • In the multivariable analysis, only local invasion on imaging and ureteroscopy high grade were significantly associated with pathological stage. • AUC to predict pT2+ and NOC-UTUC were 0.71 and 0.70, respectively. Conclusions: • We designed a preoperative prediction model for pT2+ and NOC-UTUC, based on readily available imaging and ureteroscopic grade. • Further research is needed to determine whether use of this prediction model to select patients for conservative management vs RNU, neoadjuvant chemotherapy, and/or extended lymphadenectomy will improve patient outcomes. © 2011 The Authors.
Keywords: adult; controlled study; aged; major clinical study; area under the curve; cancer staging; cancer grading; accuracy; tumor localization; image analysis; retrospective study; prediction; risk assessment; cancer invasion; preoperative period; urothelial carcinoma; nephroureterectomy; imaging; transitional cell carcinoma; hydronephrosis; ureteroscopy; renal pelvis; muscle invasive upper tract urothelial carcinoma; non organ confined upper tract urothelial carcinoma
Journal Title: BJU International
Volume: 109
Issue: 1
ISSN: 1464-4096
Publisher: Wiley Blackwell  
Date Published: 2012-01-01
Start Page: 77
End Page: 82
Language: English
DOI: 10.1111/j.1464-410X.2011.10288.x
PROVIDER: scopus
PUBMED: 21631698
PMCID: PMC4319659
DOI/URL:
Notes: --- - "Export Date: 3 January 2012" - "CODEN: BJINF" - "Source: Scopus"
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MSK Authors
  1. Jonathan Coleman
    184 Coleman
  2. Caroline Savage
    80 Savage
  3. Guido Dalbagni
    251 Dalbagni
  4. Matthew G Kaag
    32 Kaag
  5. Daher Chade
    19 Chade
  6. Shahrokh Shariat
    67 Shariat
  7. Bernard Bochner
    324 Bochner
  8. Guilherme Godoy
    23 Godoy