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
- artificial intelligence
- magnetic resonance
- soft tissue
- high resolution
- big data
- bone loss
- bone regeneration
- deep learning
- postmenopausal women
- lymph node metastasis
- body composition
- fluorescence imaging