title: Multidetector CT imaging features of invasive renal parenchyma urothelial carcinoma.
abstract: OBJECTIVE
  To characterize the multidetector CT imaging features of invasive renal parenchyma urothelial carcinoma (IRPUC).
  
  
  METHODS
  29 patients with IRPUC were retrospectively evaluated. Tumour location, density, cystic or solid appearance, calcification, capsule sign, enhancement pattern and metastases were assessed.
  
  
  RESULTS
  IRPUC involved the right kidney in 82.7% of patients. Medullary involvement was observed in 93.1% of patients. In 89.6% of patients, the reniform contour of the kidney was preserved. Tumours showed an infiltrative appearance (100%) with a poorly defined margin (100%), but an expansile component was also present (20.7%). Linear calcification was present (20.7%). Evidence of intra-abdominal metastatic disease (in 37.9% of cases) and regional lymphadenopathy (in 27.5% of cases) was present. Tumour attenuation was less or equal compared with the renal cortex or medulla on unenhanced CT (p-value> 0.05), after i.v. contrast administration; 100% were of homogeneous low attenuation compared with the normal renal cortex and medulla (p-value< 0.05).
  
  
  CONCLUSIONS
  IRPUC tends to be more prevalent in the right kidney, poorly defined margin, medullary involvement, with homogeneous enhancement less than the cortex and medulla in all phases.
  
  
  CONCLUSIONS
  IRPUC was more prevalent in the right kidney. IRPUC enhancement was less than that of the cortex and medulla on all phases. IRPUC showed poorly defined margin with medullary involvement and preserved reniform contour.
authors.affiliation: Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China.
authors.forename: Qingqiang
authors.initials: Q
authors.lastname: Zhu
authors.affiliation: Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China.
authors.forename: Wenrong
authors.initials: W
authors.lastname: Zhu
authors.affiliation: Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China.
authors.forename: Jingtao
authors.initials: J
authors.lastname: Wu
authors.affiliation: Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China.
authors.forename: Wenxin
authors.initials: W
authors.lastname: Chen
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D007668:Kidney / Q000000981:diagnostic imaging; D007680:Kidney Neoplasms / Q000178:diet therapy*; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography / Q000379:methods*; D012189:Retrospective Studies; D019459:Urothelium / Q000000981:diagnostic imaging; D055815:Young Adult