title: Significance of peritumoral vascularity on CT in evaluation of renal cortical tumor.
abstract: OBJECTIVE
  To investigate whether the presence and degree of peritumoral vascularity may provide any diagnostic information regarding the histological subtypes of renal tumors.
  
  
  METHODS
  Between January 2004 and March 2006, 214 patients (age, 19-94 years; 120 men, 94 women) with renal masses underwent total or partial nephrectomy and preoperative renal protocol computed tomography. Two radiologists retrospectively reviewed the computed tomographic exams in an independent and blinded fashion. The radiologists evaluated the presence of peritumoral vascularity and measured the largest vessel caliber. Fisher exact tests, multivariate logistic regression, and Wilcoxon rank-sum tests were performed for statistical analysis.
  
  
  RESULTS
  Of 219 renal tumors (median size, 3.5 cm; range, 0.9-20.0 cm) included in this study, 112 (51%) were clear cell renal cell carcinoma, 34 (16%) were papillary, 32 (15%) were chromophobe, 17 (8%) were oncocytomas, 6 (3%) were lipid-poor angiomyolipomas, and 18 (8%) were other or unclassified renal tumors. The presence of peritumoral vascularity was significantly associated with tumor size within each subtype. For both readers, peritumoral vascularity was more frequently identified in clear cell carcinomas than in papillary renal carcinomas of similar size (P = 0.019 and 0.008, respectively). For one of the readers, chromophobe carcinomas were also significantly less frequently associated with peritumoral vascularity than clear cell carcinomas of similar size (P = 0.014).
  
  
  CONCLUSIONS
  Clear cell carcinomas demonstrate peritumoral vascularity significantly more frequently than other malignant renal tumors of similar size. The presence of peritumoral vascularity may provide additional diagnostic information and improve therapeutic planning in some cases.
authors: Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA. zhangj12@mskcc.org
authors: Jingbo
authors: J
authors: Zhang
authors: Robert A
authors: RA
authors: Lefkowitz
authors: Liang
authors: L
authors: Wang
authors: Nicole M
authors: NM
authors: Ishill
authors: Chaya S
authors: CS
authors: Moskowitz
authors: Paul
authors: P
authors: Russo
authors: Hedvig
authors: H
authors: Hricak
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002292:Carcinoma, Renal Cell / Q000098:blood supply* / Q000000981:diagnostic imaging* / Q000473:pathology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007680:Kidney Neoplasms / Q000098:blood supply* / Q000000981:diagnostic imaging* / Q000473:pathology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D018709:Statistics, Nonparametric; D014057:Tomography, X-Ray Computed