MRI-based pictorial review of the FIGO classification system for uterine fibroids

Erin Gomez, My Linh T. Nguyen, Dzmitry Fursevich, Katarzyna Macura, Ayushi Gupta

Research output: Contribution to journalReview articlepeer-review

Abstract

Uterine fibroids are the most common gynecologic neoplasm and contribute to significant morbidity, particularly when submucosal in location or large enough to cause bulk symptoms. Correctly classifying fibroids is essential for treatment planning and prevention of complications. Ultrasound is the first-line imaging modality for characterizing uterine fibroids. However, MRI allows for high-resolution, multiplanar visualization of leiomyomata that affords a more accurate assessment than ultrasound, particularly when fibroids are numerous. The FIGO system was developed in order to more uniformly and consistently describe and classify uterine fibroids. In this article, we review the MRI appearance of each of the FIGO classification types, detailing key features to report. Additionally, we present a proposed template for structured reporting of uterine fibroids based on the FIGO classification system.

Original languageEnglish (US)
JournalAbdominal Radiology
DOIs
StateAccepted/In press - 2021
Externally publishedYes

Keywords

  • FIGO
  • Pelvic MRI
  • Uterine fibroids

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Gastroenterology
  • Urology

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