ArticleJAMA network open2022
Diagnostic Performance of the Ovarian-Adnexal Reporting and Data System (O-RADS) Ultrasound Risk Score in Women in the United States.
Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
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Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- European Society of Urogenital Radiology (ESUR) guidelines on MR imaging prior to fertility-sparing treatments in patients with cervical, endometrial, and ovarian cancers.European radiology · 2025Guideline
- Inter-reader reliability of Ovarian-Adnexal Reporting and Data System US: a systematic review and meta-analysis.Abdominal radiology (New York) · 2025Pooled it
- Comparing and combining O-RADS ultrasound, serum CA125, and HE4 for the preoperative diagnosis of ovarian tumors.BMC medical imaging · 2026Article
- Ultrasonographic assessment of pediatric adnexal lesions: validation of the O-RADS system and development of a simplified C-CAS framework.Quantitative imaging in medicine and surgery · 2026Article
- Assessment of ultrasound ovarian-adnexal reporting & data system (O-RADS) for pediatric patients.Pediatric radiology · 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
- Integration of serological markers with O-RADS ultrasound risk stratification achieves high diagnostic accuracy for early ovarian cancer: development and validation of an interpretable model.American journal of cancer research · 2026Article
- A Simple O-RADS-Based Ultrasound Scoring System for Risk Stratification of Ovarian Cystic Lesions: A Multicenter Study.International journal of women's health · 2026Article
- The Quantification Paradox in Gynecologic Color Doppler Ultrasound: From Spectral Indices to Microvascular Imaging and Artificial Intelligence.International journal of women's health · 2026Review
- 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
- Endometriosis: assessment on O-RADS and risk of malignant transformation.Abdominal radiology (New York) · 2025Review
- 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
- Integrative deep learning and radiomics analysis for ovarian tumor classification and diagnosis: a multicenter large-sample comparative study.La Radiologia medica · 2025Article
- Diagnostic performances of the Ovarian Adnexal Reporting and Data System, the Risk of Ovarian Malignancy Algorithm, and the Copenhagen Index in the preoperative prediction of ovarian cancer: a prospective cohort study.Journal of gynecologic oncology · 2025Article
- Analysis of Diagnostic Efficacy of the International Ovarian Tumor Analysis ADNEX Model and the ACR O-RADS US (Ovarian-Adnexal Reporting and Data System) for Benign and Malignant Ovarian Tumors: A Retrospective Study in a Tumor Center in Northeast China.Journal of imaging informatics in medicine · 2025Article
- Classification and risk assessment of ovarian-adnexal lesions using parametric and radiomic analysis of co-registered ultrasound-photoacoustic tomographic images.Photoacoustics · 2025Article
- Automatic segmentation model and machine learning model grounded in ultrasound radiomics for distinguishing between low malignant risk and intermediate-high malignant risk of adnexal masses.Insights into imaging · 2025Article
- Article
- Advanced Visualization of Musculoskeletal Pathologies Using MV-Flow Ultrasound: A Case Series.Cureus · 2024Article
Corrections and comments
- Commented on byBeyond the2023
Authors and funding
10 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: The American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound (US) risk scoring system has been studied in a selected population of women referred for suspected or known adnexal lesions. This population has a higher frequency of malignant neoplasms than women presenting to radiology departments for pelvic ultrasonography for a variety of indications, potentially impacting the diagnostic performance of the risk scoring system. Objective: To evaluate the risk of malignant neoplasm and diagnostic performance of O-RADS US risk scoring system in a multi-institutional, nonselected cohort. Design, Setting, and Participants: This multi-institutional cohort study included a population of nonselected women in the United States who presented to radiology departments for routine pelvic ultrasonography between 2011 and 2014, with pathology confirmation imaging follow up or 2 years of clinical follow up. Exposure: Analysis of 1014 adnexal lesions using the O-RADS US risk stratification system. Main Outcomes and Measures: Frequency of ovarian cancer and diagnostic performance of the O-RADS US risk stratification system. Results: This study included 913 women with 1014 adnexal lesions. The mean (SD) age of the patients was 42.4 (13.9 years), and 674 of 913 (73.8%) were premenopausal. The overall frequency of malignant neoplasm was 8.4% (85 of 1014 adnexal lesions). The frequency of malignant neoplasm for O-RADS US 2 was 0.5% (3 of 657 lesions; <1% expected); O-RADS US 3, 4.5% (5 of 112 lesions; <10% expected); O-RADS US 4, 11.6% (18 of 155; 10%-50% expected); and O-RADS 5, 65.6% (59 of 90 lesions; >50% expected). O-RADS US 4 was the optimum cutoff for diagnosing cancer with sensitivity of 90.6% (95% CI, 82.3%-95.9%), specificity of 81.9% (95% CI, 79.3%-84.3%), positive predictive value of 31.4% (95% CI, 25.7%-37.7%) and negative predictive value of 99.0% (95% CI, 98.0%-99.6%). Conclusions and Relevance: In this cohort study of a nonselected patient population, the O-RADS US risk stratification system performed within the expected range as published by the ACR O-RADS US committee. The frequency of malignant neoplasm was at the lower end of the published range, partially because of the lower prevalence of cancer in a nonselected population. However, a high negative predictive value was maintained, and when a lesion can be classified as an O-RADS US 2, the risk of cancer is low, which is reassuring for both clinician and patient.
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