O-RADS Classification for Ultrasound Assessment of Adnexal Masses: Agreement between IOTA Lexicon and ADNEX Model for Assigning Risk Group

Author:

Vara Julio1,Pagliuca Mariachiara2ORCID,Springer Serena3,Gonzalez de Canales Juan1,Brotons Isabel1,Yakcich Javiera4,Ajossa Silvia2,Pascual Maria Angela5ORCID,Guerriero Stefano3ORCID,Alcazar Juan Luis1ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, Clinica Universidad de Navarra, University of Navarra, 31008 Pamplona, Spain

2. Centro Integrato di Procreazione Medicalmente Assistita (PMA) e Diagnostica Ostetrico-Ginecologica, Azienda Ospedaliero Universitaria-Policlinico Duilio Casula Monserrato, University of Cagliari, 09124 Cagliari, Italy

3. Department of Medical and Surgical Sciences, Universita degli Studi di Trieste, 34127 Trieste, Italy

4. Faculty of Medicine, Los Andes University, Santiago 12455, Chile

5. Department of Obstetrics, Gynecology and Reproduction, Institut Universitari Dexeus, 08028 Barcelona, Spain

Abstract

Background: The O-RADS system is a new proposal for establishing the risk of malignancy of adnexal masses using ultrasound. The objective of this study is to assess the agreement and diagnostic performance of O-RADS when using the IOTA lexicon or ADNEX model for assigning the O-RADS risk group. Methods: Retrospective analysis of prospectively collected data. All women diagnosed as having an adnexal mass underwent transvaginal/transabdominal ultrasound. Adnexal masses were classified according to the O-RADS classification, using the criterion of the IOTA lexicon and according to the risk of malignancy determined by the ADNEX model. The agreement between both methods for assigning the O-RADS group was estimated using weighted Kappa and the percentage of agreement. The sensitivity and specificity of both approaches were calculated. Results: 454 adnexal masses in 412 women were evaluated during the study period. There were 64 malignant masses. The agreement between the two approaches was moderate (Kappa: 0.47), and the percentage of agreement was 46%. Most disagreements occurred for the groups O-RADS 2 and 3 and for groups O-RADS 3 and 4. The sensitivity and specificity for O-RADS using the IOTA lexicon and O-RADS using the ADNEX model were 92.2% and 86.1%, and 85.9% and 87.4%, respectively. Conclusion: The diagnostic performance of O-RADS classification using the IOTA lexicon as opposed to the IOTA ADNEX model is similar. However, O-RADS group assignment varies significantly, depending on the use of the IOTA lexicon or the risk estimation using the ADNEX model. This fact might be clinically relevant and deserves further research.

Publisher

MDPI AG

Subject

Clinical Biochemistry

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