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O-RADS MRI risk stratification system: pearls and pitfalls.
Nougaret, Stephanie; Razakamanantsoa, Leo; Sadowski, Elizabeth A; Stein, Erica B; Lakhman, Yulia; Hindman, Nicole M; Jalaguier-Coudray, Aurelie; Rockall, Andrea G; Thomassin-Naggara, Isabelle.
Afiliación
  • Nougaret S; Department of Radiology, Montpellier Cancer Institute, Montpellier, France. stephanienougaret@free.fr.
  • Razakamanantsoa L; Montpellier Research Cancer Institute, PINKcc Lab, U1194, Montpellier, France. stephanienougaret@free.fr.
  • Sadowski EA; Sorbonne Université, INSERM UMR S 938 (CRSA - 75012), Assistance Publique des Hôpitaux de Paris, Hopital Tenon, Service IRIS, Paris, France.
  • Stein EB; 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.
  • Lakhman Y; Department of Radiology, University of Michigan Health System, 1500 E. Medical Center Drive UH B1 D502, Ann Arbor, MI, 48109-5030, USA.
  • Hindman NM; Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Jalaguier-Coudray A; New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
  • Rockall AG; Departments of Radiology, Institut Paoli Calmettes and CRCM, Aix Marseille Université, , 13009, Marseille, France.
  • Thomassin-Naggara I; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK.
Insights Imaging ; 15(1): 45, 2024 Feb 14.
Article en En | MEDLINE | ID: mdl-38353905
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Insights Imaging Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Insights Imaging Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Alemania