Literature DB >> 33355485

O-RADS for Ultrasound: A User's Guide, From the AJR Special Series on Radiology Reporting and Data Systems.

Lori M Strachowski1,2, Priyanka Jha1, Tanya P Chawla3, Katie M Davis4, Christine K Dove4, Phyllis Glanc5,6, Tara A Morgan1, Rochelle F Andreotti4,7.   

Abstract

The Ovarian-Adnexal Reporting and Data System (O-RADS) is a lexicon and risk stratification tool designed for the accurate characterization of adnexal lesions and is essential for optimal patient management. O-RADS is a recent addition to the American College of Radiology (ACR) reporting and data systems and consists of ultrasound (US) and MRI arms. Since most ovarian or adnexal lesions are first detected with US, O-RADS US is considered the primary assessment tool. Application of O-RADS US is recommended whenever a nonphysiologic lesion is encountered. Lesion characterization may be streamlined by use of an algorithmic approach focused on relevant features and an abbreviated version of the lexicon. Resources to expedite O-RADS US categorization and determination of a management recommendation include easy online access to the ACR color-coded risk stratification scorecards and an O-RADS US calculator that is available as a smartphone app. Reporting should be concise and include relevant features for risk stratification that adhere to lexicon terminology. Technical considerations include optimization of gray-scale and color Doppler technique and performance of problem-solving maneuvers to help avoid common pitfalls. This review provides a user-friendly summary of O-RADS US with practical tips for everyday clinical use.

Entities:  

Keywords:  O-RADS; adnexa; algorithms; gynecologic malignancies; ovary; radiology reporting; system-based practices

Year:  2020        PMID: 33355485     DOI: 10.2214/AJR.20.25064

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  3 in total

1.  Interreader Agreement and Intermodality Concordance of O-RADS US and MRI for Assessing Large, Complex Ovarian-Adnexal Cysts.

Authors:  Yang Guo; Catherine H Phillips; Krista Suarez-Weiss; Lauren A Roller; Mary C Frates; Carol B Benson; Atul B Shinagare
Journal:  Radiol Imaging Cancer       Date:  2022-09

2.  O-RADS: the evolution of the ovarian lesion classification system.

Authors:  Jorge Elias; Luis Ronan Marquez Ferreira de Souza
Journal:  Radiol Bras       Date:  2022 Jul-Aug

3.  Interobserver agreement between eight observers using IOTA simple rules and O-RADS lexicon descriptors for adnexal masses.

Authors:  Neha Antil; Preethi R Raghu; Luyao Shen; Thodsawit Tiyarattanachai; Edwina M Chang; Craig W K Ferguson; Amanzo A Ho; Amelie M Lutz; Aladin J Mariano; L Nayeli Morimoto; Aya Kamaya
Journal:  Abdom Radiol (NY)       Date:  2022-06-28
  3 in total

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