Construction and validation of a preoperative malignancy risk prediction model for ovarian-adnexal masses based on clinical and ultrasonographic features - Report - MDSpire

Construction and validation of a preoperative malignancy risk prediction model for ovarian-adnexal masses based on clinical and ultrasonographic features

  • By

  • Liyan Zhang

  • Li Xiao

  • Huan Yang

  • Haiyan Wang

  • June 11, 2026

  • 0 min

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Clinical Report: Nomogram for Predicting Malignancy in Ovarian-Adnexal Masses

Overview

{'add': 'Discuss the clinical implications of the AUC value.', 'remove': None, 'update': None}

Background

{'add': 'Include statistics on ovarian cancer incidence and mortality.', 'remove': None, 'update': None}

Data Highlights

{'add': None, 'remove': "Consider removing 'N/A' for clarity.", 'update': None}

Key Findings

{'add': 'Detail the implications of identified risk factors.', 'remove': None, 'update': None}

Clinical Implications

{'add': 'Emphasize the need for external validation.', 'remove': None, 'update': None}

Conclusion

{'add': 'Reiterate the importance of further studies.', 'remove': None, 'update': None}

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  3. European Radiology, 2024 -- Key Insights on MRI and CT for the Evaluation and Staging of Adnexal Masses: Recommendations from ESUR
  4. Frontiers in Oncology, 2026 -- Discrimination of benign and malignant ovarian sex cord-stromal tumors through the analysis of clinical features, MR imaging, and MR-based radiomics
  5. Ovarian-Adnexal Reporting & Data System - US | American College of Radiology
  6. O-RADS US versus IOTA simple rules in the diagnosis of benign and malignant adnexal masses: a prospective study | BMC Medical Imaging
  7. O-RADS US v2022 Overview
  8. O-RADS US versus IOTA simple rules in the diagnosis of benign and malignant adnexal masses: a prospective study | BMC Medical Imaging | Full Text
  9. 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 - PMC

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