Value of radiomics-based automatic grading of muscle edema in polymyositis/dermatomyositis based on MRI fat-suppressed T2-weighted images.
Yumei ZhangYuefen ZouWenfeng TanChengyin LvPublished in: Acta radiologica (Stockholm, Sweden : 1987) (2024)
The Naive Bayes model, utilizing radiomics features extracted from thigh FS T2W images, accurately assesses the severity of muscle edema in cases of PM/DM.
Keyphrases
- contrast enhanced
- deep learning
- interstitial lung disease
- magnetic resonance imaging
- convolutional neural network
- skeletal muscle
- magnetic resonance
- optical coherence tomography
- computed tomography
- lymph node metastasis
- diffusion weighted imaging
- systemic sclerosis
- adipose tissue
- machine learning
- air pollution
- particulate matter
- hiv infected
- heavy metals
- type diabetes
- fatty acid
- idiopathic pulmonary fibrosis
- neural network
- polycyclic aromatic hydrocarbons
- water soluble
- antiretroviral therapy