Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET.
Kevin H LeungSteven P RoweJeffrey P LealSaeed AshrafiniaMohammad S SadaghianiHyun Woo ChungPejman DalaieRima TulbahYafu YinRyan VanDenBergRudolf A WernerKenneth J PientaMichael A GorinYong DuMartin G PomperPublished in: EJNMMI research (2022)
The framework provided lesion-level and patient-level PSMA-RADS and PCa classification on PSMA PET images. The framework was interpretable and provided confidence and probability scores that may assist physicians in making more informed clinical decisions.
Keyphrases
- pet ct
- deep learning
- pet imaging
- prostate cancer
- machine learning
- convolutional neural network
- positron emission tomography
- artificial intelligence
- primary care
- radical prostatectomy
- case report
- magnetic resonance imaging
- computed tomography
- lymph node metastasis
- magnetic resonance
- squamous cell carcinoma
- optical coherence tomography
- contrast enhanced ultrasound