Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively.
Tao ChenZhenyuan NingLili XuXingyu FengShuai HanHolger R RothWei XiongXixi ZhaoYanfeng HuHao LiuJiang YuYu ZhangYong LiYikai XuKensaku MoriGuoxin LiPublished in: European radiology (2018)
• CT-based radiomics model can differentiate low- and high-malignant-potential GISTs with satisfactory accuracy compared with subjective CT findings and clinical indexes. • Radiomics nomogram integrated with the radiomics signature, subjective CT findings and clinical indexes can achieve individualised risk prediction with improved diagnostic performance. • This study might provide significant and valuable background information for further studies such as response evaluation of neoadjuvant imatinib and recurrence risk prediction.
Keyphrases
- contrast enhanced
- lymph node metastasis
- magnetic resonance imaging
- computed tomography
- image quality
- dual energy
- magnetic resonance
- squamous cell carcinoma
- lymph node
- positron emission tomography
- sleep quality
- rectal cancer
- risk assessment
- healthcare
- locally advanced
- human health
- health information
- social media
- chronic myeloid leukemia