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O-RADS MRI risk stratification system: pearls and pitfalls.

Authors
  • Nougaret, Stephanie1, 2
  • Razakamanantsoa, Leo3
  • Sadowski, Elizabeth A4
  • Stein, Erica B5
  • Lakhman, Yulia6
  • Hindman, Nicole M7
  • Jalaguier-Coudray, Aurelie8
  • Rockall, Andrea G9
  • Thomassin-Naggara, Isabelle3
  • 1 Department of Radiology, Montpellier Cancer Institute, Montpellier, France. [email protected]. , (France)
  • 2 Montpellier Research Cancer Institute, PINKcc Lab, U1194, Montpellier, France. [email protected]. , (France)
  • 3 Sorbonne Université, INSERM UMR S 938 (CRSA - 75012), Assistance Publique des Hôpitaux de Paris, Hopital Tenon, Service IRIS, Paris, France. , (France)
  • 4 Departments of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI, 53792-3252, USA.
  • 5 Department of Radiology, University of Michigan Health System, 1500 E. Medical Center Drive UH B1 D502, Ann Arbor, MI, 48109-5030, USA.
  • 6 Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.
  • 7 New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
  • 8 Departments of Radiology, Institut Paoli Calmettes and CRCM, Aix Marseille Université, , 13009, Marseille, France. , (France)
  • 9 Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK.
Type
Published Article
Journal
Insights into Imaging
Publisher
Springer-Verlag
Publication Date
Feb 14, 2024
Volume
15
Issue
1
Pages
45–45
Identifiers
DOI: 10.1186/s13244-023-01577-5
PMID: 38353905
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

In 2021, the American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) MRI Committee developed a risk stratification system and lexicon for assessing adnexal lesions using MRI. Like the BI-RADS classification, O-RADS MRI provides a standardized language for communication between radiologists and clinicians. It is essential for radiologists to be familiar with the O-RADS algorithmic approach to avoid misclassifications. Training, like that offered by International Ovarian Tumor Analysis (IOTA), is essential to ensure accurate and consistent application of the O-RADS MRI system. Tools such as the O-RADS MRI calculator aim to ensure an algorithmic approach. This review highlights the key teaching points, pearls, and pitfalls when using the O-RADS MRI risk stratification system.Critical relevance statement This article highlights the pearls and pitfalls of using the O-RADS MRI scoring system in clinical practice.Key points• Solid tissue is described as displaying post- contrast enhancement.• Endosalpingeal folds, fimbriated end of the tube, smooth wall, or septa are not solid tissue.• Low-risk TIC has no shoulder or plateau. An intermediate-risk TIC has a shoulder and plateau, though the shoulder is less steep compared to outer myometrium. © 2024. The Author(s).

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