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 Academic Article uri icon

Overview

MeSH Major

  • Carcinoma, Transitional Cell
  • Magnetic Resonance Imaging
  • Muscle Neoplasms
  • Neoplasm Invasiveness
  • Tomography, X-Ray Computed
  • Ureteroscopy
  • Urologic Neoplasms

abstract

  • 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.

publication date

  • January 2012

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC4319659

Digital Object Identifier (DOI)

  • 10.1111/j.1464-410X.2011.10288.x

PubMed ID

  • 21631698

Additional Document Info

start page

  • 77

end page

  • 82

volume

  • 109

number

  • 1