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Objectives: To test the performance of the Ovarian-Adnexal Reporting Data System (O-RADS) MRI in characterizing adnexal masses with cystic components and to test new specific MRI features related to cystic components to improve the ability of the O-RADS MRI score to stratify lesions according to their risk of malignancy.
Methods: The EURopean ADnexal study (EURAD) database was retrospectively queried to identify adnexal masses with a cystic component. One junior and 13 radiologists independently reviewed cases blinded to the pathological diagnosis. For each lesion, the size of the whole lesion, morphological appearance, number of loculi, presence of a thickened wall, thickened septae, signal intensity of the cystic components on T1-weighted/T2-weighted/diffusion weighted, mean value of the apparent diffusion coefficient, and O-RADS MRI score were reported. Univariate and multivariate logistic regression analysis was performed to determine significant features to predict malignancy.
Results: The final cohort consisted of 585 patients with 779 pelvic masses who underwent pelvic MRI to characterize an adnexal mass(es). Histology served as the standard of reference. The diagnostic performance of the O-RADS MRI score was 0.944, CI [0.922-0.961]. Significant criteria associated with malignancy included an O-RADS MRI score ≥ 4, ADC of cystic component > 1.69, number of loculi > 3, lesion size > 75 mm, the presence of a thick wall, and a low T1-weighted, a high T2-weighted, and a low diffusion-weighted signal intensity of the cystic component. Multivariate analysis demonstrated that an O-RADS MRI score ≥ combined with an ADC mean of the cystic component > 1.69, size > 75 mm, and low diffusion-weighted signal of the cystic component significantly improved the diagnostic performance up to 0.958, CI [0.938-0.973].
Conclusion: Cystic component analysis may improve the diagnosis performance of the O-RADS MRI score in adnexal cystic masses.
Key Points: • O-RADS MRI score combined with specific cystic features (area under the receiving operating curve, AUROC = 0.958) improves the diagnostic performance of the O-RADS MRI score (AUROC = 0.944) for predicting malignancy in this cohort. • Cystic features that improve the prediction of malignancy are ADC mean > 1.69 (OR = 7); number of loculi ≥ 3 (OR = 5.16); lesion size > 75 mm (OR = 4.40); the presence of a thick wall (OR = 3.59); a high T2-weighted signal intensity score 4 or 5 (OR = 3.30); a low T1-weighted signal intensity score 1, 2, or 3 (OR = 3.45); and a low diffusion-weighted signal intensity (OR = 2.12). • An adnexal lesion with a cystic component rated O-RADS MRI score 4 and an ADC value of the cystic component < 1.69 associated with a low diffusion-weighted signal, has virtually a 0% risk of malignancy.
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http://dx.doi.org/10.1007/s00330-022-08644-3 | DOI Listing |
Abdom Radiol (NY)
August 2025
Tehran University of Medical Sciences, Tehran, Iran.
Background: Integrating diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) measurements with existing MR imaging protocols improves the differentiation between benign and malignant adnexal lesions. We aimed to assess the additional value of quantitative ADC in diagnosing adnexal masses classified by the O-RADS-MRI score and evaluate the impact on diagnostic performance.
Methods: This retrospective cohort study analyzed 159 patients with 218 ovarian masses, classified into benign, borderline, and malignant groups via histopathological evaluation.
Insights Imaging
July 2025
Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Objectives: To develop an MRI-based radiomics model for ovarian masses categorization and to compare the model performance to Ovarian-Adnexal Reporting and Data System (O-RADS) and radiologists' assessments.
Materials And Methods: This retrospective multicenter study included 497 patients (249 benign, 248 malignant) allocated to training, internal, and external validation sets (293/124/80 masses, respectively). Radiomics features were extracted from preoperative MRI.
Cureus
June 2025
Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, IND.
The Ovarian-Adnexal Reporting and Data System magnetic resonance imaging (O-RADS MRI) is a standardized risk stratification system designed to enhance uniform interpretation and reporting of adnexal masses on MRI. A PubMed search was conducted using the keyword "O-RADS MRI," yielding 61 articles in the search results. After excluding eight articles, 53 articles were selected.
View Article and Find Full Text PDFArch Gynecol Obstet
July 2025
Department of Obstetrics and Gynecology, Health Sciences University Istanbul Kanuni Sultan Süleyman Training and Research Hospital, Istanbul, Turkey.
Purpose: Adnexal masses (AMs) are commonly seen gynecological problems. Most of the AMs of women in reproductive period are physiologic. A rare but lethal cause of AMs is ovarian cancer.
View Article and Find Full Text PDFIntroduction Accurate characterization of ovarian lesions is essential for guiding clinical management, influencing decisions on conservative follow-up, medical treatment, or surgical intervention. The Ovarian-Adnexal Reporting and Data System (O-RADS) has emerged as a standardized tool for risk stratification, aiming to improve diagnostic accuracy and management of ovarian adnexal pathologies. This study aimed to compare the diagnostic performance of ultrasonography (USG) and magnetic resonance imaging (MRI) in evaluating ovarian lesions using the O-RADS classification system.
View Article and Find Full Text PDF