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MRI-based pictorial review of the FIGO classification system for uterine fibroids.
Gomez, Erin; Nguyen, My-Linh T; Fursevich, Dzmitry; Macura, Katarzyna; Gupta, Ayushi.
Afiliación
  • Gomez E; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600 N. Wolfe St., MRI Building 143, Baltimore, MD, 21287, USA. egomez8@jhmi.edu.
  • Nguyen MT; Department of Radiology, Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, MD, USA.
  • Fursevich D; Renown Regional Medical Center, Reno, NV, USA.
  • Macura K; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600 N. Wolfe St., MRI Building 143, Baltimore, MD, 21287, USA.
  • Gupta A; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Abdom Radiol (NY) ; 46(5): 2146-2155, 2021 05.
Article en En | MEDLINE | ID: mdl-33385249
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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Uterinas / Leiomioma Tipo de estudio: Diagnostic_studies Idioma: En Revista: Abdom Radiol (NY) Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Uterinas / Leiomioma Tipo de estudio: Diagnostic_studies Idioma: En Revista: Abdom Radiol (NY) Año: 2021 Tipo del documento: Article