The Performance of Tumor Size as Risk Stratification Parameter in Upper Tract Urothelial Carcinoma (UTUC).
Endoscopic management
Kidney-sparing surgery
Radical nephroureterectomy
Risk stratification model
Tumor diameter
Journal
Clinical genitourinary cancer
ISSN: 1938-0682
Titre abrégé: Clin Genitourin Cancer
Pays: United States
ID NLM: 101260955
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
received:
15
07
2020
revised:
01
09
2020
accepted:
07
09
2020
pubmed:
14
10
2020
medline:
19
8
2021
entrez:
13
10
2020
Statut:
ppublish
Résumé
The objective of this study was to evaluate the performance of different tumor diameters for identifying ≥ pT2 upper tract urothelial carcinoma (UTUC) at radical nephroureterectomy. This was a multi-institutional retrospective study that included 932 patients who underwent radical nephroureterectomy for nonmetastatic UTUC between 2000 and 2016. Tumor sizes were pathologically assessed and categorized into 4 groups: ≤ 1 cm, 1.1 to 2 cm, 2.1 to 3 cm, and > 3 cm. We performed logistic regression and decision-curve analyses. Overall, 45 (4.8%) patients had a tumor size ≤ 1 cm, 141 (15.1%) between 1.1 and 2 cm, 247 (26.5%) between 2.1 and 3 cm, and 499 (53.5%) > 3 cm. In preoperative predictive models that were adjusted for the effects of standard clinicopathologic features, tumor diameters > 2 cm (odds ratio, 2.38; 95% confidence interval, 1.70-3.32; P < .001) and > 3 cm (odds ratio, 1.81; 95% confidence interval, 1.38-2.38; P < .001) were independently associated with ≥ pT2 pathologic staging. The addition of the > 2-cm diameter cutoff improved the area under the curve of the model from 58.8% to 63.0%. Decision-curve analyses demonstrated a clinical net benefit of 0.09 and a net reduction of 8 per 100 patients. The 2-cm cutoff appears to be most useful in identifying patients at risk of harboring ≥ pT2 UTUC. This confirms the current European Association of Urology guideline's risk stratification. Tumor size alone is not sufficient for optimal risk stratification, rather a constellation of features is needed to select the best candidate for kidney-sparing surgery.
Identifiants
pubmed: 33046411
pii: S1558-7673(20)30218-4
doi: 10.1016/j.clgc.2020.09.002
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
272.e1-272.e7Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.