Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth
We developed a promising predictive model utilizing quantitative MRI features and principal component analysis to identify UFs with increased growth rates. Furthermore, the model's discrimination ability supports its potential clinical utility in developing tailored patient and fibroid-specific management once validated on a larger cohort.
Authors
- Karen Drukker (ORCID: https://orcid.org/0000-0001-6544-3476)
- Carla Harmath (ORCID: https://orcid.org/0000-0002-6521-9498)
- Obianuju Sandra Madueke-Laveaux (ORCID: https://orcid.org/0000-0002-1994-2183)
- Maryellen L. Giger (ORCID: https://orcid.org/0000-0001-5482-9728)
- Milica Medved (ORCID: https://orcid.org/0000-0003-2945-5511)
Institutions
- University of Chicago (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2024-09-12
- DOI
- https://doi.org/10.1117/1.jmi.11.5.054501
- Citations
- 3
- Primary Topic
- Uterine Myomas and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.75