Literature DB >> 33385249

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

Erin Gomez1, My-Linh T Nguyen2, Dzmitry Fursevich3, Katarzyna Macura4, Ayushi Gupta5.   

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.

Entities:  

Keywords:  FIGO; Pelvic MRI; Uterine fibroids

Year:  2021        PMID: 33385249     DOI: 10.1007/s00261-020-02882-z

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  3 in total

1.  A Comparative Study of Magnetic Resonance Imaging and Transabdominal Ultrasonography for the Diagnosis and Evaluation of Uterine Fibroids.

Authors:  M Z Hossain; M M Rahman; M M Ullah; M Mukthadira; F A Akter; A B Jahan; F Jahan
Journal:  Mymensingh Med J       Date:  2017-10

2.  How to differentiate benign from malignant myometrial tumours using MR imaging.

Authors:  Isabelle Thomassin-Naggara; Sophie Dechoux; Claire Bonneau; Audrey Morel; Roman Rouzier; Marie-France Carette; Emile Daraï; Marc Bazot
Journal:  Eur Radiol       Date:  2013-04-08       Impact factor: 5.315

3.  Magnetic resonance-guided focused ultrasound surgery (MRgFUS) treatment for uterine fibroids.

Authors:  Bjj Abdullah; Rv Subramaniam; Ss Omar; P Wragg; N Ramli; Al Wui; Cc Lee; Y Yusof
Journal:  Biomed Imaging Interv J       Date:  2010-04-01
  3 in total
  1 in total

1.  Metabolomic Profiling of Peripheral Plasma by GC-MS and Correlation With Size of Uterine Leiomyomas.

Authors:  Gustavo Anderman Silva Barison; Paulo D'Amora; Mário Augusto Izidoro; Mariana Corinti; Luísa Marcella Martins; Claudio Emílio Bonduki; Rodrigo de Aquino Castro; Manoel João Batista Castello Girão; Mariano Tamura Vieira Gomes
Journal:  J Endocr Soc       Date:  2022-04-14
  1 in total

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