Predicting Ki-67 expression in hepatocellular carcinoma: nomogram based on clinical factors and contrast-enhanced ultrasound radiomics signatures.
Di ZhangXian-Ya ZhangWen-Wu LuJin-Tang LiaoChao-Xue ZhangQi TangXin-Wu CuiPublished in: Abdominal radiology (New York) (2024)
The clinic-radiomics nomogram constructed from multiphase CEUS images and clinical risk parameters can distinguish Ki-67 expression in HCC patients and offer useful insights to guide subsequent personalized treatment.
Keyphrases
- contrast enhanced ultrasound
- lymph node metastasis
- poor prognosis
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- primary care
- neoadjuvant chemotherapy
- squamous cell carcinoma
- prognostic factors
- deep learning
- peritoneal dialysis
- binding protein
- magnetic resonance imaging
- convolutional neural network
- contrast enhanced
- gene expression
- machine learning
- optical coherence tomography
- long non coding rna
- radiation therapy
- lymph node
- rectal cancer