ArticleScientific reports2023
Validation of the diagnostic efficacy of O-RADS in adnexal masses.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Contrast-enhanced ultrasound and Ovarian-Adnexal Reporting and Data System ultrasound classification for risk assessment of ovarian and adnexal lesions: a systematic review and meta-analysis.Quantitative imaging in medicine and surgery · 2026Article
- Diagnostic performance and interobserver agreement of O-RADS US v2022 and its combination with serum biomarkers in surgically treated epithelial ovarian-adnexal masses.Frontiers in medicine · 2026Article
- Can transabdominal shear wave elastography play a role in solving the dilemma of complex cystic and solid ovarian tumors by ultrasound?Journal of ultrasound · 2025Article
- Accurate prediction of benign and malignant adnexal tumors in surgical resection and conservative treatment: construction and external validation of a diagnostic model based on CEUS, HE4, and O-RADS US v2022 evaluation.Journal of ovarian research · 2025Article
- Ovarian-Adnexal Imaging-Reporting and Data System (O-RADS) ultrasound version 2019: a prospective validation and comparison to updated version (v2022) in pathologically confirmed adnexal masses.European radiology · 2025Article
- Article
- Integrating Contrast-enhanced US to O-RADS US for Classification of Adnexal Lesions with Solid Components: Time-intensity Curve Analysis versus Visual Assessment.Radiology. Imaging cancer · 2024Article
- Clinical value of ACR O-RADS combined with CA125 in the risk stratification of adnexal masses.Frontiers in oncology · 2024Article
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8 authors.
Funding
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Abstract
The aim of this study was to validate the performance of the Ovarian-Adnexal Reporting and Data Systems (O-RADS) series models proposed by the American College of Radiology (ACR) in the preoperative diagnosis of adnexal masses (AMs). Two experienced sonologists examined 218 patients with AMs and gave the assessment results after the examination. Pathological findings were used as a reference standard. Of the 218 lesions, 166 were benign and 52 were malignant. Based on the receiver operating characteristic (ROC) curve, we defined a malignant lesion as O-RADS > 3 (i.e., lesions in O-RADS categories 4 and 5 were malignant). The area under the curve (AUC) of O-RADS (v2022) was 0.970 (95% CI 0.938-0.988), which wasn't statistically significantly different from the O-RADS (v1) combined Simple Rules Risk (SRR) assessment model with the largest AUC of 0.976 (95% CI 0.946-0.992) (p = 0.1534), but was significantly higher than the O-RADS (v1) (AUC = 0.959, p = 0.0133) and subjective assessment (AUC = 0.918, p = 0.0255). The O-RADS series models have good diagnostic performance for AMs. Where, O-RADS (v2022) has higher accuracy and specificity than O-RADS (v1). The accuracy and specificity of O-RADS (v1), however, can be further improved when combined with SRR assessment.
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