Diabetes risk assessment with imaging: a radiomics study of abdominal CT.
Chun-Qiang LuYuan-Cheng WangXiang-Pan MengHai-Tong ZhaoChu-Hui ZengWeiwei XuYa-Ting GaoSheng-Hong JuPublished in: European radiology (2018)
• CT images may provide useful information to evaluate the risk of developing diabetes. • Radiomics score for diabetes prediction is based on subtle changes of abdominal organs detected by CT. • The radiomics signature of pancreas, a combination of five features of CT images, is efficient for early diabetes screening and prediction of future diabetes (AUC > 0.8).
Keyphrases
- contrast enhanced
- type diabetes
- cardiovascular disease
- glycemic control
- computed tomography
- image quality
- risk assessment
- dual energy
- magnetic resonance imaging
- positron emission tomography
- deep learning
- lymph node metastasis
- magnetic resonance
- optical coherence tomography
- healthcare
- squamous cell carcinoma
- machine learning
- heavy metals
- metabolic syndrome
- current status
- human health