Ovarian-Adnexal Reporting and Data System for Magnetic Resonance Imaging (O-RADS MRI): Genesis and Future Directions

Imaging plays an important role in characterizing and risk-stratifying commonly encountered adnexal lesions. Recently, the American College of Radiology (ACR) released the Ovarian-Adnexal Reporting and Data System (O-RADS) for ultrasound and subsequently for magnetic resonance imaging (MRI). The goal of the recently developed ACR O-RADS MRI risk stratification system is to improve the quality of imaging reports as well as the reproducibility of evaluating adnexal lesions on MRI. This review focuses on exploring this new system and its future refinements.

[1]  C. Reinhold,et al.  How to improve O-RADS MRI score for rating adnexal masses with cystic component? , 2022, European Radiology.

[2]  K. Maturen,et al.  Ovarian Cancer Detection in Average-Risk Women: Classic- versus Nonclassic-appearing Adnexal Lesions at US. , 2022, Radiology.

[3]  R. Porcher,et al.  O-RADS MRI Classification of Indeterminate Adnexal Lesions: Time-Intensity Curve Analysis Is Better Than Visual Assessment. , 2022, Radiology.

[4]  D. Levine.  MRI O-RADS: Learning about the New Risk Stratification System. , 2022, Radiology.

[5]  S. Nougaret,et al.  O-RADS MRI Risk Stratification System: Guide for Assessing Adnexal Lesions from the ACR O-RADS Committee. , 2022, Radiology.

[6]  S. Aslan,et al.  Diagnostic accuracy and validity of the O-RADS MRI score based on a simplified MRI protocol: a single tertiary center retrospective study , 2021, Acta radiologica.

[7]  C. Reinhold,et al.  Authors' Response. , 2021, Journal of the American College of Radiology : JACR.

[8]  C. Reinhold,et al.  Correspondence on "ESGO/ISUOG/IOTA/ESGE consensus statement on pre-operative diagnosis of ovarian tumors" by Timmerman et al , 2021, International Journal of Gynecological Cancer.

[9]  T. Bourne,et al.  ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors , 2021, International Journal of Gynecological Cancer.

[10]  E. Darai,et al.  O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort , 2021, European Radiology.

[11]  M. Jimenez-Linan,et al.  Non-contrast MRI can accurately characterize adnexal masses: a retrospective study , 2021, European Radiology.

[12]  H. Vargas,et al.  Ovarian-Adnexal Reporting Lexicon for MRI: A White Paper of the ACR Ovarian-Adnexal Reporting and Data Systems MRI Committee. , 2021, Journal of the American College of Radiology : JACR.

[13]  O. Harb,et al.  Validity and Reproducibility of the ADNEX MR Scoring System in the Diagnosis of Sonographically Indeterminate Adnexal Masses , 2020, Journal of magnetic resonance imaging : JMRI.

[14]  V. Denolin,et al.  Magnetic resonance scoring system for assessment of adnexal masses: added value of diffusion‐weighted imaging including apparent diffusion coefficient map , 2020, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[15]  R. Porcher,et al.  Ovarian-Adnexal Reporting Data System Magnetic Resonance Imaging (O-RADS MRI) Score for Risk Stratification of Sonographically Indeterminate Adnexal Masses , 2020, JAMA network open.

[16]  L. Sarian,et al.  Improving the performance of IOTA simple rules: sonographic assessment of adnexal masses with resource-effective use of a magnetic resonance scoring (ADNEX MR scoring system) , 2019, Abdominal Radiology.

[17]  M. Yokoyama,et al.  External validation of ADNEX MR SCORING system: a single-centre retrospective study. , 2019, Clinical radiology.

[18]  L. Sarian,et al.  Accuracy of the ADNEX MR scoring system based on a simplified MRI protocol for the assessment of adnexal masses. , 2018, Diagnostic and interventional radiology.

[19]  K. Maturen,et al.  Indeterminate Adnexal Cysts at US: Prevalence and Characteristics of Ovarian Cancer. , 2018, Radiology.

[20]  K. Kinkel,et al.  ESUR recommendations for MR imaging of the sonographically indeterminate adnexal mass: an update , 2016, European Radiology.

[21]  A. Fauconnier,et al.  External validation of the MR imaging scoring system for the management of adnexal masses. , 2016, European journal of obstetrics, gynecology, and reproductive biology.

[22]  R. Rouzier,et al.  Adnexal masses: development and preliminary validation of an MR imaging scoring system. , 2013, Radiology.

[23]  T. Bourne,et al.  Triaging women with ovarian masses for surgery: observational diagnostic study to compare RCOG guidelines with an International Ovarian Tumour Analysis (IOTA) group protocol , 2012, BJOG : an international journal of obstetrics and gynaecology.

[24]  M. Miquel,et al.  Effectiveness of semi-quantitative multiphase dynamic contrast-enhanced MRI as a predictor of malignancy in complex adnexal masses: radiological and pathological correlation , 2012, European Radiology.

[25]  E. Sala,et al.  ESUR guidelines: ovarian cancer staging and follow-up , 2010, European Radiology.

[26]  R. Reznek,et al.  Can quantitative dynamic contrast-enhanced MRI independently characterize an ovarian mass? , 2010, European Radiology.

[27]  F. Amor,et al.  Gynecologic Imaging Reporting and Data System , 2009, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[28]  R. Reznek,et al.  The role of magnetic resonance imaging and ultrasound in patients with adnexal masses. , 2005, Clinical radiology.

[29]  T. Bourne,et al.  O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee. , 2019, Radiology.

[30]  T. Bourne,et al.  Practical guidance for applying the ADNEX model from the IOTA group to discriminate between different subtypes of adnexal tumors , 2015, Facts, views & vision in ObGyn.

[31]  K. Kinkel,et al.  ESUR guidelines for MR imaging of the sonographically indeterminate adnexal mass: an algorithmic approach , 2009, European Radiology.

[32]  ESUR BOARD,et al.  European Society of Urogenital Radiology (ESUR) , 2001, European Radiology.