Risk of malignancy index

A Prospective Validation of the IOTA Logistic Regression Models (LR1 and LR2) in Comparison to Subjective Pattern Recognition for the Diagnosis of Ovarian Cancer
Natalie Nunes, Gareth Ambler, Wee-Liak Hoo, Joel Naftalin, Xulin Foo, Martin Widschwendter, Davor Jurkovic

International Journal of Gynecologic Cancer Nov 2013, 23 (9) 1583-1589; DOI: 10.1097/IGC.0b013e3182a6171a
Differential diagnosis of adnexal masses: risk of malignancy index, ultrasonography, magnetic resonance imaging, and radioimmunoscintigraphy
P. O. Van Trappen, B. D. Rufford, T. D. Mills, S. A. Sohaib, J. A.W. Webb, A. Sahdev, M. J. Carroll, K. E. Britton, R. H. Reznek, I. J. Jacobs

International Journal of Gynecologic Cancer Jan 2007, 17 (1) 61-67; DOI: 10.1111/j.1525-1438.2006.00753.x
Increasing the Effectiveness of Referral of Ovarian Masses From Cancer Unit to Cancer Center by Using a Higher Referral Value of the Risk of Malignancy Index
Amer Raza, Tim Mould, Meg Wilson, Mike Burnell, Les Bernhardt

International Journal of Gynecologic Cancer May 2010, 20 (4) 552-554; DOI: 10.1111/IGC.0b013e3181b8289b
Adnexal Mass Vascularity Assessed by 3-Dimensional Power Doppler: Does It Add to the Risk of Malignancy Index in Prediction of Ovarian Malignancy?: Four Hundred-Case Study
Ghada M. Mansour, Ismail K. El-Lamie, Helmy M. El-Sayed, A. M. Ibrahim, M. Laban, Sobhi K. Abou-Louz, M. Y. Abd Allah, M. N. El-Mahallawi, Khalil I. El-Lamie, Mohsen Gad-Allah

International Journal of Gynecologic Cancer Jul 2009, 19 (5) 867-872; DOI: 10.1111/IGC.0b013e3181a8335e

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Risk of malignancy index