Detecting localised prostate cancer using radiomic features in PSMA PET and multiparametric MRI for biologically targeted radiation therapy.
Tsz Him ChanAnnette HaworthAlan WangMahyar OsanlouyScott WilliamsCatherine MitchellMichael S HofmanRodney J HicksDeclan G MurphyHayley M ReynoldsPublished in: EJNMMI research (2023)
Machine learning classifiers using radiomic features from PSMA PET and mpMRI show promise for predicting IPLs and differentiating between high-grade and low-grade disease, which could be used to inform biologically targeted radiation therapy planning.
Keyphrases
- pet ct
- low grade
- high grade
- radiation therapy
- pet imaging
- prostate cancer
- machine learning
- contrast enhanced
- positron emission tomography
- cancer therapy
- big data
- magnetic resonance imaging
- radical prostatectomy
- computed tomography
- radiation induced
- locally advanced
- artificial intelligence
- diffusion weighted imaging
- deep learning