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
- 1Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.
- 2Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam. nvqhuy@huemed-univ.edu.vn.
- 0Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.
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View abstract on PubMed
Summary
This summary is machine-generated.The Risk of Ovarian Malignancy Algorithm (ROMA), Copenhagen Index (CPH-I), and Ovarian Adnexal Reporting and Data System (O-RADS) show promise for predicting ovarian cancer (OC). Combining O-RADS with CA125 offered the highest diagnostic accuracy for preoperative OC detection.
Area Of Science
- Gynecologic Oncology
- Diagnostic Imaging
- Biomarker Research
Background
- Early and accurate diagnosis of ovarian cancer (OC) is crucial for improving patient outcomes.
- Preoperative risk stratification tools are essential for guiding clinical management decisions.
Purpose Of The Study
- To evaluate the diagnostic performance of the Risk of Ovarian Malignancy Algorithm (ROMA), Copenhagen Index (CPH-I), and Ovarian Adnexal Reporting and Data System (O-RADS) in the preoperative prediction of OC.
- To compare the efficacy of these algorithms, alone and in combination with biomarkers (CA125, HE4), for OC diagnosis.
Main Methods
- A prospective cohort study involving 462 patients with ovarian tumors.
- Calculation of ROMA and CPH-I using CA125, HE4, age, and menopausal status.
- Application of O-RADS criteria based on ultrasound findings.
- Comparison of diagnostic performance against histopathological results.
Main Results
- O-RADS (≥3) demonstrated a high area under the curve (AUC) of 0.949 with sensitivity/specificity (Se/Sp) of 88.52%/88.98%.
- The combination of O-RADS with CA125 achieved the highest AUC of 0.969, with Se/Sp of 98.36%/86.09%.
- ROMA and CPH-I also showed good predictive values, with AUCs of 0.880 and 0.890, respectively.
Conclusions
- ROMA, CPH-I, and O-RADS are effective tools for preoperative OC prediction.
- The combination of O-RADS and CA125 provides superior diagnostic performance for identifying ovarian cancer.
- These findings support the integration of O-RADS and CA125 in the preoperative assessment of ovarian tumors.
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