The authors of this study conducted multiparametric magnetic resonance imaging (MRI)-derived radiomics based on multi-scale tumor region in order to predict disease-free survival (DFS) in a cohort of 191 patients with early-stage squamous cervical cancer (ESSCC). They were able to conclude that multiparametric MRI-derived radiomics based on multi-scale tumor region can in fact aid in the prediction of DFS for ESSCC patients, helping to facilitate clinical decision-making.
Key points
- Three radiomics scores based on multi-scale tumor region all showed favorable performances in DFS prediction. Rad-score (VOI+5 mm) performed best with favorable C-index values.
- Combined model incorporating multiparametric MRI-based radiomics with clinical risk factors performed significantly better in DFS prediction than the clinical model.
- Combined model presented as a nomogram can be easily used to predict survival, thereby facilitating clinical decision-making.
Authors: Yan Zhou, Hai-Lei Gu, Xin-Lu Zhang, Zhong-Fu Tian, Xiao-Quan Xu & Wen-Wei Tang
