Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
365-04-014 ISMRM Abstract

Development and validation study of modified non-contrast O-RADS MRI scoring system for adnexal masses diagnosis

Primary: Body - Pelvis
Secondary: Analysis Methods - Classification and Prediction
365-04-014 · Body MR: Potpourri of Techniques in Uterine, Cervical, Liver, and Kidney Imaging · Monday, 11 May, 2:45 PM–3:40 PM · Digital Posters Row F
Accepted
Yan Ren 1,2, Zhijing Zhang3, Chen Zhang4, Yue Cheng2,3, Shen Wen3,5
1First Central Hospital of Tianjin Medical University, Tianjin, China
2Department of Radiology, Tianjin First Central Hospital, Tianjin, China
3Tianjin First Central Hospital, Tianjin, China
4MR Research Collaboration, Siemens Healthineers, Beijing China, China
5Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, Tianjin, China
Presenting Author: Yan Ren

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Li X, Li Z, Ma H, et al (2024) Ovarian cancer: diagnosis and treatment strategies (review). Oncol Lett 28:441. https://doi.org/10.3892/ol.2024.14574 [doi]
2. Sung H, Ferlay J, Siegel RL, et al (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71:209–249. https://doi.org/10.3322/caac.21660 [doi]
3. Sadowski EA, Thomassin-Naggara I, Rockall A, et al (2022) O-RADS MRI risk stratification system: guide for assessing adnexal lesions from the ACR O-RADS committee. Radiology 303:35–47. https://doi.org/10.1148/radiol.204371 [doi]
4. Wengert GJ, Dabi Y, Kermarrec E, et al (2022) O-RADS MRI classification of indeterminate adnexal lesions: time-intensity curve analysis is better than visual assessment. Radiology 303:566–575. https://doi.org/10.1148/radiol.210342 [doi]
5. Wu M, Tang Q, Cai S, et al (2023) Accuracy and reproducibility of the O-RADS MRI risk stratification system based on enhanced non-DCE MRI in the assessment of adnexal masses. Eur J Radiol 159:110670. https://doi.org/10.1016/j.ejrad.2022.110670 [doi]
6. McCluggage WG, Singh N, Gilks CB (2022) Key changes to the world health organization (WHO) classification of female genital tumours introduced in the 5th edition (2020). Histopathology 80:762–778. https://doi.org/10.1111/his.14609 [doi]
7. Churpek MM, Carey KA, Edelson DP, et al (2020) Internal and external validation of a machine learning risk score for acute kidney injury. JAMA Netw Open 3:e2012892. https://doi.org/10.1001/jamanetworkopen.2020.12892 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/365-04-014