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<p>Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral and axial joints and entheses throughout the body. Despite some limitations, it has potential in determining the overall inflammatory burden, tracking disease progression, and evaluating treatment response. It is used in the evaluation of idiopathic inflammatory myositis (IIM) or in the pediatric population where it is becoming the gold standard for the diagnosis and monitoring of conditions, such as juvenile idiopathic arthritis (JIA) and chronic recurrent multifocal osteomyelitis (CRMO). In addition to advancements in technology and the development of WB-MRI scoring systems, the integration of artificial intelligence (AI) may improve diagnostic accuracy by automating assessments and enabling early detection of subclinical inflammation. The aim of this review is to examine the current scientific evidence for the use of WB-MRI in rheumatology.</p>

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Whole-body magnetic resonance imaging in rheumatology: advancements, key applications and future perspectives

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月13日

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  • Gabriele Mirabella,
  • Giambattista Privitera,
  • Angelo Montana,
  • Luca Ultimo Esposto,
  • Enzo Fausto Santonocito,
  • Emanuele David,
  • Pietro Valerio Foti,
  • Stefano Palmucci,
  • Placido Romeo,
  • Antonio Basile

摘要

Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral and axial joints and entheses throughout the body. Despite some limitations, it has potential in determining the overall inflammatory burden, tracking disease progression, and evaluating treatment response. It is used in the evaluation of idiopathic inflammatory myositis (IIM) or in the pediatric population where it is becoming the gold standard for the diagnosis and monitoring of conditions, such as juvenile idiopathic arthritis (JIA) and chronic recurrent multifocal osteomyelitis (CRMO). In addition to advancements in technology and the development of WB-MRI scoring systems, the integration of artificial intelligence (AI) may improve diagnostic accuracy by automating assessments and enabling early detection of subclinical inflammation. The aim of this review is to examine the current scientific evidence for the use of WB-MRI in rheumatology.