Highlights
- •The ACR O-RADS US has a good diagnostic performance in differentiating malignant from benign adnexal lesions.
- •The ACR O-RADS US is applicable to radiologists with different experience even freshman.
- •Explicit sub-classification into two groups among O-RADS 4 lesions showed better stratification of the intermediate risk.
Abstract
Objective
To assess the diagnostic performance and inter-observer agreement of the American
College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS
US).
Methods
From January 2016 to December 2018 a total of 1054 adnexal lesions in 1035 patients
with pathologic results from two hospitals were retrospectively included. Each lesion
was assigned to an O-RADS US category according to the criteria. Kappa (κ) statistics
were applied to assess inter-observer agreement between a less experienced and an
expert radiologist.
Results
Of the 1054 adnexal lesions, 750 were benign and 304 were malignant. The malignancy
rates of O-RADS 5, O-RADS 4, O-RADS 3, and O-RADS 2 lesions were 89.57%, 34.46%, 1.10%,
and 0.45% respectively. Area under the receiver operating characteristic curve was
0.960 (95% CI, 0.947–0.971). The optimal cutoff value for predicting malignancy was
>O-RADS 3 with a sensitivity and specificity of 98.7% (95% CI, 0.964–0.996) and 83.2%
(95% CI, 0.802–0.858) respectively. When sub-classifying multilocular cysts and smooth
solid lesions in O-RADS 4 lesions as O-RADS 4a lesions and the rest cystic lesions
with solid components as O-RADS 4b lesions, the malignancy rate were 17.02% and 42.57%
respectively, which showed better risk stratification (P < 0.001). The inter-observer agreement between a less-experienced and an expert radiologist
of O-RADS categorization was good (κ = 0.714).
Conclusions
The ACR O-RADS US provides effective malignancy risk stratification for adnexal lesions
with high reliability for radiologists with different experience. Sub-grouping of
O-RADS 4 lesions into two groups facilitated better stratification of the intermediate
risk.
Keywords
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Gynecologic OncologyAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Effect of quality of gynaecological ultrasonography on management of patients with suspected ovarian cancer: a randomised controlled trial.Lancet Oncol. 2008; 9: 124-131
- Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group.Ultrasound Obstet. Gynecol. 2000; 16: 500-505
- Simple ultrasound-based rules for the diagnosis of ovarian cancer.Ultrasound Obstet. Gynecol. 2008; 31: 681-690
- Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study.BMJ. 2014; 349: g5920
- External validation of IOTA simple descriptors and simple rules for classifying adnexal masses.Ultrasound Obstet. Gynecol. 2016; 48: 397-402
- Predicting the risk of malignancy in adnexal masses based on the simple rules from the international ovarian tumor analysis group.Am. J. Obstet. Gynecol. 2016; 214: 424-437
- Simple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA group.BMJ. 2010; 341: c6839
- Ovarian mass–differentiating benign from malignant: the value of the international ovarian tumor analysis ultrasound rules.Am. J. Obstet. Gynecol. 2017; 217: 652-660
- A scoring system to differentiate malignant from benign masses in specific ultrasound-based subgroups of adnexal tumors.Ultrasound Obstet. Gynecol. 2009; 33: 92-101
- GI-RADS reporting system for ultrasound evaluation of adnexal masses in clinical practice: a prospective multicenter study.Ultrasound Obstet. Gynecol. 2011; 38: 450-455
- Ovarian malignancy risk stratification of the adnexal mass using a multivariate index assay.Gynecol. Oncol. 2013; 128: 252-259
- Predicting ovarian malignancy: application of artificial neural networks to transvaginal and color Doppler flow US.Radiology. 1999; 210: 399-403
- Clinical utility of risk models to refer patients with adnexal masses to specialized oncology care: multicenter external validation using decision curve analysis.Clin. Cancer Res. 2017; 23: 5082-5090
- Ovarian-adnexal reporting lexicon for ultrasound: a white paper of the ACR ovarian-adnexal reporting and data system committee.J. Am. Coll. Radiol. 2018; 15: 1415-1429
- Prospective internal validation of mathematical models to predict malignancy in adnexal masses: results from the international ovarian tumor analysis study.Clin. Cancer Res. 2009; 15: 684-691
- Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the international ovarian tumor analysis group.J. Clin. Oncol. 2005; 23: 8794-8801
- Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study.Br. J. Cancer. 2014; 111: 680-688
- O-RADS US risk stratification and management system: a consensus guideline from the ACR ovarian-adnexal reporting and data system committee.Radiology. 2020; 294: 168-185
- O-RADS for ultrasound: a User’s guide, from the AJR special series on radiology reporting and data systems.Am. J. Roentgenol. April 2021; : 1-16
- Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study.BMJ. 2020; 370: m2614
- Histological classification of ovarian cancer.in: Medical Electron Microscopy. 2003
- Ovarian Cancer (Version 1, 2021).(Accessed April 9, 2021)
- Comparison of O-RADS, GI-RADS, and IOTA simple rules regarding malignancy rate, validity, and reliability for diagnosis of adnexal masses.Eur. Radiol. 2021; 31: 674-684
- Reservations regarding O-RADS recommendations.Radiology. 2020; 295: 248
- Solid hypoechoic adnexal lesions with acoustic shadowing warrant an MRI recommendation in the O-RADS risk stratification and management system.Radiology. April 2020; 200437
- Comparison of “pattern recognition” and logistic regression models for discrimination between benign and malignant pelvic masses: a prospective cross validation.Ultrasound Obstet. Gynecol. 2001; 18: 357-365
- Subjective assessment versus ultrasound models to diagnose ovarian cancer: a systematic review and meta-analysis.Eur. J. Cancer. 2016; 58: 17-29
- Estimating risk of malignancy in adnexal masses: external validation of the ADNEX model and comparison with other frequently used ultrasound methods.Ultrasound Obstet. Gynecol. 2017; 49: 784-792
- Risk of complications in patients with conservatively managed ovarian tumours (IOTA5): a 2-year interim analysis of a multicentre, prospective, cohort study.Lancet Oncol. 2019; 20: 448-458
- Diagnosis and Management of Adnexal Masses.Am. Fam. Physician. 2016; 93: 676-681
- Evaluation and management of ultrasonographically detected ovarian tumors in asymptomatic women.Obstet Gynecol J Am Coll Obstet Gynecol. 2016; 127: 848-858
Article info
Publication history
Published online: May 06, 2021
Accepted:
April 24,
2021
Received:
February 19,
2021
Identification
Copyright
© 2021 Elsevier Inc. All rights reserved.