Literature DB >> 30149950

Ovarian-Adnexal Reporting Lexicon for Ultrasound: A White Paper of the ACR Ovarian-Adnexal Reporting and Data System Committee.

Rochelle F Andreotti1, Dirk Timmerman2, Beryl R Benacerraf3, Genevieve L Bennett4, Tom Bourne5, Douglas L Brown6, Beverly G Coleman7, Mary C Frates8, Wouter Froyman2, Steven R Goldstein9, Ulrike M Hamper10, Mindy M Horrow11, Marta Hernanz-Schulman12, Caroline Reinhold13, Lori M Strachowski14, Phyllis Glanc15.   

Abstract

Ultrasound is the most commonly used imaging technique for the evaluation of ovarian and other adnexal lesions. The interpretation of sonographic findings is variable because of inconsistency in descriptor terminology used among reporting clinicians. The use of vague terms that are inconsistently applied can lead to significant differences in interpretation and subsequent management strategies. A committee was formed under the direction of the ACR initially to create a standardized lexicon for ovarian lesions with the goal of improving the quality and communication of imaging reports between ultrasound examiners and referring clinicians. The ultimate objective will be to apply the lexicon to a risk stratification classification for consistent follow-up and management in clinical practice. This white paper describes the consensus process in the creation of a standardized lexicon for ovarian and adnexal lesions and the resultant lexicon.
Copyright © 2018 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ovarian mass; ovarian cancer; pelvic imaging; structured reporting; ultrasound

Mesh:

Year:  2018        PMID: 30149950     DOI: 10.1016/j.jacr.2018.07.004

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  15 in total

1.  Diagnostic accuracy and inter-observer reliability of the O-RADS scoring system among staff radiologists in a North American academic clinical setting.

Authors:  Yeli Pi; Mitchell P Wilson; Prayash Katlariwala; Medica Sam; Thomas Ackerman; Lee Paskar; Vimal Patel; Gavin Low
Journal:  Abdom Radiol (NY)       Date:  2021-06-29

2.  Radiologic-Histopathologic Correlation of Transvaginal US and Risk-reducing Salpingo-oophorectomy for Women at High Risk for Tubo-ovarian Carcinoma.

Authors:  Michelle D Sakala; Nicole E Curci; William R Masch; Mishal Mendiratta-Lala; Erica B Stein; Ashish P Wasnik; Andrew P Sciallis; Shitanshu Uppal; Mark D Pearlman; Katherine E Maturen
Journal:  Radiol Imaging Cancer       Date:  2020-11-13

3.  Ovarian cancer reporting lexicon for computed tomography (CT) and magnetic resonance (MR) imaging developed by the SAR Uterine and Ovarian Cancer Disease-Focused Panel and the ESUR Female Pelvic Imaging Working Group.

Authors:  Elizabeth A Sadowski; Atul B Shinagare; Hyesun Park; Olga R Brook; Rosemarie Forstner; Sumer K Wallace; Jeanne M Horowitz; Neil Horowitz; Marcia Javitt; Priyanka Jha; Aki Kido; Yulia Lakhman; Susanna I Lee; Lucia Manganaro; Katherine E Maturen; Stephanie Nougaret; Liina Poder; Gaiane M Rauch; Caroline Reinhold; Evis Sala; Isabelle Thomassin-Naggara; Herbert Alberto Vargas; Aradhana Venkatesan; Olivera Nikolic; Andrea G Rockall
Journal:  Eur Radiol       Date:  2021-11-30       Impact factor: 7.034

4.  BI-RADS, C-RADS, CAD-RADS, LI-RADS, Lung-RADS, NI-RADS, O-RADS, PI-RADS, TI-RADS: Reporting and Data Systems.

Authors:  Julie Y An; Kyle M L Unsdorfer; Jeffrey C Weinreb
Journal:  Radiographics       Date:  2019 Sep-Oct       Impact factor: 5.333

5.  The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses.

Authors:  Wen Guo; Xiuhe Zou; Hanyue Xu; Tao Zhang; Yunuo Zhao; Lu Gao; Wenyue Duan; Xuelei Ma; Ling Zhang
Journal:  Ann Transl Med       Date:  2021-03

Review 6.  ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors.

Authors:  Dirk Timmerman; François Planchamp; Tom Bourne; Chiara Landolfo; Andreas du Bois; Luis Chiva; David Cibula; Nicole Concin; Daniela Fischerova; Wouter Froyman; Guillermo Gallardo Madueño; Birthe Lemley; Annika Loft; Liliana Mereu; Philippe Morice; Denis Querleu; Antonia Carla Testa; Ignace Vergote; Vincent Vandecaveye; Giovanni Scambia; Christina Fotopoulou
Journal:  Int J Gynecol Cancer       Date:  2021-06-10       Impact factor: 3.437

Review 7.  Radiomics and radiogenomics in ovarian cancer: a literature review.

Authors:  S Nougaret; Cathal McCague; Hichem Tibermacine; Hebert Alberto Vargas; Stefania Rizzo; E Sala
Journal:  Abdom Radiol (NY)       Date:  2020-11-11

8.  Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study.

Authors:  Ben Van Calster; Lil Valentin; Wouter Froyman; Chiara Landolfo; Jolien Ceusters; Antonia C Testa; Laure Wynants; Povilas Sladkevicius; Caroline Van Holsbeke; Ekaterini Domali; Robert Fruscio; Elisabeth Epstein; Dorella Franchi; Marek J Kudla; Valentina Chiappa; Juan L Alcazar; Francesco P G Leone; Francesca Buonomo; Maria Elisabetta Coccia; Stefano Guerriero; Nandita Deo; Ligita Jokubkiene; Luca Savelli; Daniela Fischerová; Artur Czekierdowski; Jeroen Kaijser; An Coosemans; Giovanni Scambia; Ignace Vergote; Tom Bourne; Dirk Timmerman
Journal:  BMJ       Date:  2020-07-30

9.  Efficacy of IOTA simple rules, O-RADS, and CA125 to distinguish benign and malignant adnexal masses.

Authors:  Wen Ting Xie; Yao Qin Wang; Zhi Sheng Xiang; Zhong Shi Du; Shi Xin Huang; Yi Jie Chen; Li Na Tang
Journal:  J Ovarian Res       Date:  2022-01-23       Impact factor: 4.234

10.  Non-contrast MRI can accurately characterize adnexal masses: a retrospective study.

Authors:  Evis Sala; Helen Addley; Hilal Sahin; Camilla Panico; Stephan Ursprung; Vittorio Simeon; Paolo Chiodini; Amy Frary; Bruno Carmo; Janette Smith; Sue Freeman; Mercedes Jimenez-Linan; Helen Bolton; Krishnayan Haldar; Joo Ern Ang; Caroline Reinhold
Journal:  Eur Radiol       Date:  2021-03-16       Impact factor: 5.315

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