O-RADS MRI risk stratification system: pearls and pitfalls.
Stephanie NougaretLeo RazakamanantsoaElizabeth A SadowskiErica B SteinYulia LakhmanNicole M HindmanAurelie Jalaguier-CoudrayAndrea G RockallIsabelle Thomassin-NaggaraPublished in: Insights into imaging (2024)
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.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted imaging
- magnetic resonance
- computed tomography
- clinical practice
- machine learning
- emergency department
- high resolution
- autism spectrum disorder
- obsessive compulsive disorder
- deep learning
- electronic health record
- big data
- deep brain stimulation
- rotator cuff