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Objective:To explore the consistency of MRI-based ovarian-adnexal report and data system (O-RADS) score and its diagnostic value for ovarian adnexal masses.Methods:The MRI data of 309 patients with ovarian adnexal masses confirmed by pathology were retrospectively collected from January 2017 to August 2021 in the Second Affiliated Hospital of Soochow University, including 327 lesions consisted of 250 benign lesions, 21 borderline lesions, and 56 malignant lesions confirmed by pathology. Borderline and malignant lesions were classified into the malignant group ( n=77) and benign lesions were classified as benign group ( n=250). Two radiologists scored all lesions according to the MRI-based O-RADS, and scored again after 6 months. The proportion of borderline/malignant lesions in each MRI-based O-RADS score was calculated. The weighted Kappa test was used to assess the intra-reader and inter-reader consistency of the image interpretation results. The receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic efficacy of MRI-based O-RADS classification for distinguishing benign and malignant ovarian adnexal masses. Results:The weighted Kappa value of the MRI-based O-RADS score between the two radiologists was 0.810 (95%CI 0.764-0.855), and the weighted Kappa values of the two radiologists′ scores at different times were 0.848 (95%CI 0.806-0.889) and 0.875 (95%CI 0.835-0.914), respectively. The borderline/malignant lesions accounted for 0/16, 0.8% (1/127), 10.1% (10/99), 76.0% (57/75), 9/10 and 0/17, 0 (0/122), 8.0% (8/100), 76.2% (48/63), and 84.0% (21/25) of the lesions in the two radiologists based on the MRI O-RADS score of 1, 2, 3, 4, and 5, respectively. When adopting O-RADS score>3 as a cut-off value, the area under the ROC curve of the two radiologists for distinguishing benign and malignant ovarian adnexal masses was 0.928 (95%CI 0.895-0.954) and 0.942 (95%CI 0.911-0.965), respectively. The sensitivity was 0.857 and 0.896, the specificity was 0.924 and 0.924, and the accuracy was 0.908 and 0.917 respectively.Conclusion:The MRI-based O-RADS yields high diagnostic efficiency in the evaluation of benign and malignant ovarian adnexal masses, and the intra-reader and inter-reader consistency of the image interpretation is strong.
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ObjectiveTo explore the value of MRI ovarian-adnexal reporting and data system （O-RADS MRI） in differentiating benign and malignant ovarian-adnexal masses.MethodsTotally 146 patients （202 masses） with ovarian-adnexal lesions who underwent pelvic examination at 3.0 T MRI according to standardized scan protocol of O-RADS MRI and were pathologically confirmed in The First Affiliated Hospital of Sun Yat-sen University between January 2020 and February 2022 were retrospectively analyzed. Two radiologists classified the ovarian-adnexal masses as risk levels 1~5 according to O-RADS MRI and evaluated their consistency by Cohen’s kappa. Using pathological findings as the gold standard， the detection yield of malignant lesions with O-RADS MRI classification was analyzed. Sensitivity， specificity， accuracy， and the area under the receiver operating characteristic curve were calculated （cutoff for malignancy， score ≥ 4）.ResultsOf 202 masses， 62 （30.7%） were malignant， 140 （69.3%） were benign. The two radiologists presented good agreement in O-RADS MRI classification of ovarian adnexal masses （Kappa=0.932）. The malignancy rates of masses with scores of 1， 2， 3， 4 and 5 were 0%， 0%， 7.7%， 95%， 97.6%， respectively. Sensitivity， specificity， accuracy， and the area under the receiver operating characteristic curve were 96.8% （60/62）， 98.6% （138/140）， 98.0% （198/202）， 0.977.ConclusionsO-RADS MRI yields high diagnostic efficiency for benign and malignant ovarian adnexal masses and its widespread implementation will improve communication between radiologists and clinicians， and facilitate optimal patient management. Therefore， O-RADS MRI warrants widespread use in clinical setting.
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Objective:To explore the value of contrast-enhanced ultrasound (CEUS) combined with Ovarian-Adnexal Reporting and Data System (O-RADS US) risk stratification and management system in differential diagnosis of ovarian-adnexal mass.Methods:Fifty-six patients with ovarian-adnexal mass who received transabdominal transvaginal ultrasound and CEUS in the Third People′s Hospital of Longgang District from September 2018 to January 2021 were enrolled. The images were classified by O-RADS US and diagnosed by CEUS by experienced and senior radiologist. On the basis of O-RADS US classification, the enhancement time, enhancement level and enhancement mode of CEUS were combined to upgrade or degrade the classification results of O-RADS US. The diagnostic accuracy was assessed using ROC curve analysis, the area under the ROC curve (AUC) was calculated. The reproducibility of O-RADS US was assessed by another senior radiologist.Results:The AUC of O-RADS US for diagnosing benign and malignant ovarian-adnexal masses was 0.844(0.722, 0.927), the AUC of CEUS was 0.833(0.710, 0.920), the AUC of O-RADS US combined with CEUS was 0.940(0.842, 0.986) (compared with O-RADS US, P=0.020; compared with CEUS, P=0.031). The intra-class correlation coefficient (ICC) was 0.897(0.824, 0.940) for O-RADS US. Conclusions:CEUS combined with O-RADS US classification can effectively improve the diagnostic efficiency for benign and malignant ovarian-adnexal masses.
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Objective:To investigate the intra- and inter-observer agreements of different experiencers using the Ovaria-adnexal Reporting and Data System (O-RADS) in the evaluation of adnexal masses.Methods:Totally 48 patients with adnexal masses (48 masses, mean size 9.5±4.7 cm, range 2.3-18.6 cm) found by ultrasound examination in the Third Affiliated Hospital of Sun Yat-sen University, from May 2019 to March 2020 were retrospectively analyzed. All the masses were confirmed by pathology or surgery. Four observers were divided into 2 senior doctors (Doctor 1 and Doctor 2) and 2 junior doctors (Doctor 3 and Doctor 4). Each observer independently evaluated adnexal masses twice using ultrasound O-RADS before and after systematic training, with an interval of 60 days. The intra-observer and inter-observer agreements were analyzed before and after training.Results:The inter-observer agreement between senior doctors were both excellent before and after systematic training (weight Kappa: 0.833 vs 0.802, percentage of agreement: 83.3% vs 81.3%). Whereas there was difference in the inter-observer agreement between non-experienced observers before and after training (weight Kappa: 0.399 vs 0.824, percentage of agreement: 50.0% vs 77.1%). After training, inter-observer agreement between junior doctors was significantly improved and comparable to senior (weight Kappa: 0.824 vs 0.802, percentage of agreement: 77.1% vs 81.3%). Before and after systematic training, the intra-observer agreements of the same doctor, the senior physicians were better than the junior (weight Kappa: 0.882 and 0.843 vs 0.440 and 0.605; percentage of agreement: 87.5% and 83.3% vs 58.3% and 54.2%).Conclusions:O-RADS risk classification system is a highly reproducible method in the subjective assessment of an adnexal mass among observers with varying levels of expertise. However, systematic training before clinical application is necessary and effective for non-experienced observers.