Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival.
Pablo BorrelliMåns LarssonJohannes UlénOlof EnqvistElin TrägårdhMads Hvid PoulsenMike Allan MortensenHenrik KjölhedePoul Flemming Høilund-CarlsenLars EdenbrandtPublished in: Clinical physiology and functional imaging (2020)
This study shows the feasibility of using an AI-based tool for automated and objective interpretation of PET/CT images that can provide assessments of lymph node lesions comparable with that of experienced readers and prognostic information in PCa patients.
Keyphrases
- pet ct
- artificial intelligence
- lymph node
- deep learning
- machine learning
- prostate cancer
- big data
- positron emission tomography
- end stage renal disease
- neoadjuvant chemotherapy
- ejection fraction
- sentinel lymph node
- prognostic factors
- convolutional neural network
- healthcare
- peritoneal dialysis
- radiation therapy
- squamous cell carcinoma
- high throughput
- computed tomography
- early stage
- optical coherence tomography
- single cell
- quantum dots