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Pigmented villonodular synovitis: MRI characteristics

T H Hughes1, D J Sartoris, M E Schweitzer

  • 1Department of Radiology, University of California, San Diego, USA.

Skeletal Radiology
|January 1, 1995
PubMed

Insights

Magnetic resonance imaging (MRI) reveals key characteristics of pigmented villonodular synovitis (PVNS) in joints. This study details MRI findings, including a rare cystic variant, aiding in diagnosis.

Area of Science:

  • Radiology
  • Orthopedic Imaging
  • Musculoskeletal Imaging

Background:

  • Pigmented villonodular synovitis (PVNS) is a rare, benign neoplastic proliferation of the synovium.
  • Accurate diagnosis of PVNS is crucial for appropriate management and to differentiate it from other intra-articular pathologies.
  • Magnetic resonance imaging (MRI) is a primary modality for evaluating joint abnormalities.

Purpose of the Study:

  • To define the spectrum and frequency of MRI characteristics of intra-articular pigmented villonodular synovitis (PVNS).
  • To identify and describe the MRI features of PVNS, including less common presentations.
  • To establish a comprehensive understanding of PVNS on MRI for improved diagnostic accuracy.

Main Methods:

  • Retrospective review of MRI scans from 26 patients with histopathologically confirmed intra-articular PVNS.
  • Utilized conventional spin echo and gradient echo MRI techniques.
  • Included pre- and post-contrast T1-weighted spin echo sequences in two cases.

Main Results:

  • Detailed spectrum of MRI findings for intra-articular PVNS was established.
  • Identified characteristic features such as nodular synovial thickening, hemosiderin deposition, and joint effusion.
  • Described a cystic variant of PVNS with unique MRI appearances not previously reported in the literature.

Conclusions:

  • MRI is highly effective in characterizing intra-articular PVNS.
  • Recognition of the diverse MRI appearances, including the cystic form, is essential for accurate diagnosis.
  • This study contributes to the understanding of PVNS imaging findings, aiding radiologists and clinicians.

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