Novel approach to MRI based risk stratification of uterine myometrial lesions
Our study demonstrates that combining 5 criteria based on multivariate analysis in a new algorithm (T2W signal, DW signal, ADC cut off value of 1.23 x 10-3 mm2/sec, tumor margins and menopausal status) allows us to distinguish benign from malignant uterine mesenchymal tumors with an accuracy of 98 % (CI95% 97,1%-98,1%), a sensitivity of 83.3 % (CI95% 79-88) and a specificity of 98.6 % (CI95% 98-99). This model allows to build a stratification score that would help in the management of typical and atypical uterine lesions.
Authors
- Diana Gherman (ORCID: https://orcid.org/0000-0002-2004-2000)
- Yohann Dabi
- Émile Daraï (ORCID: https://orcid.org/0000-0003-2083-7097)
- Priyanka Jha (ORCID: https://orcid.org/0000-0001-5417-7723)
- Marie Florin
- Isabelle Thomassin‐Naggara (ORCID: https://orcid.org/0000-0002-0919-0133)
- Bassam Haddad
- Eva Zlotykamien-Taieb
- Rana Al Rouhban
- Safaa Arbel
Institutions
- Université Paris-Est Créteil (FR)
- Sorbonne Université (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Hôpital Intercommunal de Créteil (FR)
- Hôpital Tenon (FR)
- Stanford University (US)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112126
- Citations
- 4
- Primary Topic
- Uterine Myomas and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 8.23