Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures.
Xiaoyi SongXiaobei DuanXinghua HeYubo WangKunwei LiBangxuan DengXiangmeng ChenYing WangMan LiHong ShanPublished in: La Radiologia medica (2024)
Our study demonstrates the potential of LDCT-based radiomics and DL signatures for predicting DM in NSCLC. These signatures could help improve lung cancer screening regarding further diagnostic tests and treatment strategies.
Keyphrases
- low dose
- deep learning
- contrast enhanced
- genome wide
- lymph node metastasis
- small cell lung cancer
- computed tomography
- high dose
- magnetic resonance imaging
- image quality
- machine learning
- squamous cell carcinoma
- dna methylation
- dual energy
- magnetic resonance
- climate change
- skeletal muscle
- convolutional neural network
- gene expression
- metabolic syndrome
- glycemic control
- epidermal growth factor receptor
- pet ct