Computed tomography-based prediction model for identifying patients with high probability of non-muscle-invasive bladder cancer.
Kyung A KangMin Je KimGhee Young KwonChan Kyo KimSung Yoon ParkPublished in: Abdominal radiology (New York) (2023)
The current CT-derived prediction model demonstrated high PPV for identifying patients with NMIBC. Depending on CT findings, approximately 30% of patients with bladder cancer may have a low need for additional MRI for interpreting vesical imaging-reporting and data system.
Keyphrases
- muscle invasive bladder cancer
- computed tomography
- contrast enhanced
- dual energy
- image quality
- magnetic resonance imaging
- positron emission tomography
- high resolution
- magnetic resonance
- diffusion weighted imaging
- emergency department
- electronic health record
- adverse drug
- deep learning
- data analysis
- mass spectrometry