The comparison of IOTA Simple Rules, ADNEX Model, and RMI prediction models used in the diagnosis of ovarian tumours
By: Tőkés Nikolett and Szabó Béla
References
- J. Huang et al., “Worldwide Burden, Risk Factors, and Temporal Trends of Ovarian Cancer: A Global Study,” Cancers (Basel), 2022, 14: 2230
- G. C. Jayson, E. C. Kohn, H. C. Kitchener, and J. A. Ledermann, “Ovarian cancer,” The Lancet, 2014, 384: 1376–1388
- R. Forstner, “Early detection of ovarian cancer,” European Radiology, 2020, 30: 5370–5373.
- C. Stewart, C. Ralyea, and S. Lockwood, “Ovarian Cancer: An Integrated Review,” Seminars in Oncology Nursing, 2019, 35: 151–156.
- D. Timmerman et al., “ESGO/ISUOG/IOTA/ESGE Consensus Statement on preoperative diagnosis of ovarian tumours.,” Facts Views Vis Obgyn, 2021,13: 107–130.
- W. Froyman and D. Timmerman, “Methods of Assessing Ovarian Masses: International Ovarian Tumor Analysis Approach,” Obstetrics and Gynecology Clinics of North America, 2019, 46: 625–641.
- D. Timmerman et al., “Simple ultrasound-based rules for the diagnosis of ovarian cancer,” Ultrasound in Obstetrics and Gynecology, 2008, 31: 681–690.
- H. Chen, L. Qian, M. Jiang, Q. Du, F. Yuan, and W. Feng, “Performance of IOTA ADNEX model in evaluating adnexal masses in a gynecological oncology center in China,” Ultrasound in Obstetrics and Gynecology, 2019, 54: 815–822.
- D. Jacobs, J. Oram, J. Fairbanks, C. Turner, and J. Fros’i’, “A risk of malignancy index incorporating CA 125, ultrasound and menopausal status for the accurate preoperative diagnosis of ovarian cancer,” 1990; 97:922–929.
DOI: https://doi.org/10.2478/orvtudert-2022-0011 | Journal eISSN: 2537-5059 | Journal ISSN: 1453-0953
Language: English
Page range: 167 - 176
Published on: Jun 7, 2024
Published by: Transylvanian Museum Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Related subjects:
© 2024 Tőkés Nikolett, Szabó Béla, published by Transylvanian Museum Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.