Machine Learning Radiomics-Based Prediction of Non-sentinel Lymph Node Metastasis in Chinese Breast Cancer Patients with 1-2 Positive Sentinel Lymph Nodes: A Multicenter Study.
Guihan LinWeiyue ChenYingying FanYi ZhouXia LiXin HuXue ChengMingzhen ChenChunli KongMinjiang ChenMin XuZhiyi PengJiansong JiPublished in: Academic radiology (2024)
A RF-based combined model using DCE-MRI images exhibited a promising performance for predicting NSLN metastasis in Chinese BC patients who underwent TM and had 1-2 positive SLNs, thereby aiding in individualized clinical treatment decisions.
Keyphrases
- sentinel lymph node
- lymph node
- machine learning
- end stage renal disease
- contrast enhanced
- ejection fraction
- chronic kidney disease
- early stage
- newly diagnosed
- deep learning
- peritoneal dialysis
- artificial intelligence
- computed tomography
- squamous cell carcinoma
- patient reported outcomes
- lymph node metastasis
- replacement therapy
- smoking cessation
- diffusion weighted imaging