Predicting EGFR Status After Radical Nephrectomy or Partial Nephrectomy for Renal Cell Carcinoma on CT Using a Self-attention-based Model: Variable Vision Transformer (vViT).
Takuma UsuzakiRyusei InamoriMami IshikuroTaku ObaraEichi TakayaNoriyasu HommaKei TakasePublished in: Journal of imaging informatics in medicine (2024)
The vViT model, a transformer-based approach for multimodal data, shows promise for preoperative CT-based prediction of eGFR status in patients with renal cell carcinoma.
Keyphrases
- renal cell carcinoma
- small cell lung cancer
- epidermal growth factor receptor
- image quality
- computed tomography
- tyrosine kinase
- dual energy
- contrast enhanced
- big data
- working memory
- positron emission tomography
- robot assisted
- electronic health record
- magnetic resonance imaging
- pain management
- magnetic resonance
- minimally invasive
- chronic pain
- editorial comment