MRI-derived radiomics analysis improves the noninvasive pretreatment identification of multimodality therapy candidates with early-stage cervical cancer

ConclusionsThe clinical-radiomics model and nomogram can potentially identify multimodality therapy candidates inpatients with early-stage cervical cancer.Key Points• Pretreatment identification of multimodality therapy candidates among patients with early-stage cervical cancer helped to select the optimal primary treatment and reduce severe complication risk and costs.• The clinical-radiomics model achieved a better prediction performance compared with the clinical model and the clinical-conventional radiological model.• An easy-to-use nomogram exhibited good performance for individual preoperative prediction.
Source: European Radiology - Category: Radiology Source Type: research