Deep Learning Radiomics Nomogram Based on Enhanced CT to Predict the Response of Metastatic Lymph Nodes to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer.
Hao ZhongTongyu WangMingyu HouXiaodong LiuYulong TianShougen CaoZequn LiZhenlong HanGan LiuYuqi SunCheng MengYujun LiYanxia JiangQinglian JiDapeng HaoZimin LiuYan-Bing ZhouPublished in: Annals of surgical oncology (2023)
In patients with LAGC, the DLDRN effectively predicted a therapeutic response in metastatic lymph nodes, which could provide valuable information for individualized treatment.
Keyphrases
- lymph node
- neoadjuvant chemotherapy
- locally advanced
- squamous cell carcinoma
- sentinel lymph node
- deep learning
- small cell lung cancer
- lymph node metastasis
- rectal cancer
- contrast enhanced
- radiation therapy
- computed tomography
- magnetic resonance imaging
- clinical trial
- image quality
- positron emission tomography
- healthcare
- health information
- magnetic resonance
- artificial intelligence
- dual energy
- machine learning
- early stage
- social media