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Renal lymphoma: demonstration by MR imaging

R C Semelka1, N L Kelekis, D A Burdeny

  • 1Department of Radiology, University of North Carolina, Chapel Hill 27599-7510, USA.

Abstract

Insights

This study reveals three main appearances of renal lymphoma using MRI, with large retroperitoneal masses invading the kidney being most common. These tumors show characteristic signal intensities and heterogeneous enhancement patterns on MRI scans.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Renal lymphoma is a rare but significant condition.
  • Accurate imaging is crucial for diagnosis and management.
  • Magnetic Resonance (MR) imaging offers detailed anatomical and functional information.

Purpose of the Study:

  • To delineate the spectrum of renal lymphoma appearances on MR imaging.
  • To evaluate the utility of current MR techniques, including gadolinium enhancement, in characterizing renal lymphoma.
  • To correlate imaging findings with pathological subtypes and clinical presentation.

Main Methods:

  • MR imaging was performed on 12 patients with renal lymphoma using a 1.5-T scanner.
  • Standard MR sequences included T2-weighted, T1-weighted spoiled gradient-echo, and T1-weighted fat-suppressed spin-echo.
  • Imaging was conducted before and after gadolinium administration to assess enhancement patterns.

Main Results:

  • Three patterns of renal involvement were identified: large retroperitoneal masses with renal invasion (9 patients), diffuse renal infiltration (1 patient), and focal intraparenchymal masses (2 patients).
  • Lymphoma typically appeared hypointense on T1-weighted and variable on T2-weighted images.
  • Mildly heterogeneous, minimal enhancement was observed after gadolinium administration, with no central necrosis or renal vein thrombus.

Conclusions:

  • Renal lymphoma presents with diverse appearances on MR imaging.
  • The most frequent pattern involves large retroperitoneal masses extending into the kidney.
  • MR imaging characteristics, including signal intensity and enhancement, aid in differentiating renal lymphoma from other renal masses.

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