Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth.

ABSTRACT:

Significance

Uterine fibroids (UFs) can pose a serious health risk to women. UFs are benign tumors that vary in clinical presentation from asymptomatic to causing debilitating symptoms. UF management is limited by our inability to predict UF growth rate and future morbidity.

Aim

We aim to develop a predictive model to identify UFs with increased growth rates and possible resultant morbidity.

Approach

We retrospectively analyzed 44 expertly outlined UFs from 20 patients who underwent two multi-parametric MR imaging exams as part of a prospective study over an average of 16 months. We identified 44 initial features by extracting quantitative magnetic resonance imaging (MRI) features plus morphological and textural radiomics features from DCE, T2, and apparent diffusion

SUBMITTER: Drukker K 

PROVIDER: S-EPMC11391479 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature