Radiomics model based on multi-sequence MR images for predicting preoperative immunoscore in rectal cancer.
Kaiming XueLin LiuYunxia LiuYan GuoYuhang ZhuMengchao ZhangPublished in: La Radiologia medica (2022)
Integrated model A based on T2WI and ADC images has the potential to be used as a non-invasive tool for preoperative prediction of immunoscore in rectal cancer. It may be useful in evaluating prognosis and guiding individualized immunotherapy of patients.
Keyphrases
- rectal cancer
- locally advanced
- end stage renal disease
- deep learning
- patients undergoing
- newly diagnosed
- ejection fraction
- convolutional neural network
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- contrast enhanced
- magnetic resonance
- magnetic resonance imaging
- squamous cell carcinoma
- computed tomography
- lymph node metastasis
- risk assessment
- human health
- amino acid
- diffusion weighted imaging