Radiologist's Disease: Imaging for Renal Cancer

Urol Clin North Am. 2023 May;50(2):161-180. doi: 10.1016/j.ucl.2023.01.006.

Abstract

There is a clear benefit of imaging-based differentiation of small indeterminate masses to its subtypes of clear cell renal cell carcinoma (RCC), chromophobe RCC, papillary RCC, fat poor angiomyolipoma and oncocytoma because it helps determine the next step options for the patients. The work thus far in radiology has explored different parameters in computed tomography, MRI, and contrast-enhanced ultrasound with the discovery of many reliable imaging features that suggest certain tissue subtypes. Likert score-based risk stratification systems can help determine management, and new techniques such as perfusion, radiogenomics, single-photon emission tomography, and artificial intelligence can add to the imaging-based evaluation of indeterminate renal masses.

Keywords: CT; MRI; Multiphasic contrast imaging; Ultrasound.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence
  • Carcinoma, Renal Cell* / diagnostic imaging
  • Carcinoma, Renal Cell* / pathology
  • Diagnosis, Differential
  • Humans
  • Kidney Neoplasms* / diagnostic imaging
  • Kidney Neoplasms* / pathology
  • Radiologists
  • Tomography, X-Ray Computed / methods