Perirenal fat invasion on renal cell carcinoma: evaluation with multidetector computed tomography-multivariate analysis

J Comput Assist Tomogr. 2013 May-Jun;37(3):450-7. doi: 10.1097/RCT.0b013e318283bc8e.

Abstract

Objective: The objective of this study was to assess the accuracy of multidetector computed tomography (CT) in diagnosing perinephric (PN) and/or renal sinus (RS) fat invasion in patients with renal cell carcinoma (RCC), with reference to the CT findings predictive for the diagnosis of invasion.

Methods: This was a retrospective study of 48 RCCs. Examinations were performed on a 16-row CT scanner, including unenhanced and 3-phase contrast-enhanced CT scanning. Unenhanced transverse images and multiplanar reformations of each contrast-enhanced CT phase were evaluated. The predictive value of CT findings in diagnosing PN and/or RS fat invasion was determined using multivariate logistic regression analysis.

Results: The CT findings that were most predictive for the diagnosis of PN fat invasion were the presence of contrast-enhancing nodules in the PN fat and tumoral margins. Invasion of the pelvicaliceal system was the most significant predictor in the diagnosis of RS fat invasion.

Conclusions: Multidetector CT provides satisfactory results in detecting PN and/or RS fat invasion in RCC.

MeSH terms

  • Adipose Tissue / diagnostic imaging*
  • Adipose Tissue / pathology
  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma, Renal Cell / diagnostic imaging*
  • Carcinoma, Renal Cell / pathology
  • Chi-Square Distribution
  • Contrast Media
  • Female
  • Humans
  • Kidney Neoplasms / diagnostic imaging*
  • Kidney Neoplasms / pathology
  • Logistic Models
  • Male
  • Middle Aged
  • Multidetector Computed Tomography / methods*
  • Multivariate Analysis
  • Radiographic Image Interpretation, Computer-Assisted
  • Retrospective Studies
  • Statistics, Nonparametric

Substances

  • Contrast Media