Machine learning and magnetic resonance imaging: Differentiating benign from malignant osseous tumors.
N Suzanne EmilRandy R SibbittWilmer L SibbittPublished in: Journal of clinical ultrasound : JCU (2023)
Radiomics and machine learning applied to the isolated cartilaginous bone lesion on magnetic resonance imaging (MRI) is increasingly useful to distinguish malignant versus benign bone lesions, to determine whether repetitive imaging over time, to determine dynamic expansion, or immediate excisional biopsy are indicated.
Keyphrases
- magnetic resonance imaging
- contrast enhanced
- machine learning
- bone mineral density
- computed tomography
- diffusion weighted imaging
- magnetic resonance
- artificial intelligence
- big data
- high resolution
- soft tissue
- bone loss
- bone regeneration
- high frequency
- postmenopausal women
- ultrasound guided
- squamous cell carcinoma
- deep learning
- photodynamic therapy