The aim of this retrospective study was to establish and validate a radiomics nomogram that was based on contrast-enhanced spectral mammography (CESM) for the prediction of axillary lymph node (ALN) metastasis in breast cancer. The authors found that the CESM-based radiomics nomogram showed good application prospects in the preoperative prediction of ALN metastasis in breast cancer. Key points The CESM-based radiomics nomogram shows good performance in predicting ALN metastasis in breast cancer. The application of radiomics nomogram in this study provides a new approach for establishing a prediction model with multiple characteristics. The nomogram has good application prospects in assisting clinical decision makers. Article: Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study Authors: Ning Mao, Ping Yin, Qin Li, Qinglin Wang, Meijie Liu, Heng Ma, Jianjun Dong, Kaili Che, Zhongyi Wang, Shaofeng Duan, Xuexi Zhang, Nan Hong & Haizhu Xie
Impact of deep learning reconstruction on radiation dose reduction and cancer risk in CT examinations
Deep‑learning reconstruction (DLR) shifts CT image formation from a hardware‑limited process to a data‑driven one. In our real‑world cohort of >10,000 body scans, we observed a
28. April 2025
