Utility of MRI in Quantifying Tissue Injury in Cervical Spondylotic Myelopathy.
Ali Fahim KhanGrace HaynesEsmaeil MohammadiFauziyya MuhammadSanaa HameedZachary A SmithPublished in: Journal of clinical medicine (2023)
Cervical spondylotic myelopathy (CSM) is a progressive disease that worsens over time if untreated. However, the rate of progression can vary among individuals and may be influenced by various factors, such as the age of the patients, underlying conditions, and the severity and location of the spinal cord compression. Early diagnosis and prompt treatment can help slow the progression of CSM and improve symptoms. There has been an increased use of magnetic resonance imaging (MRI) methods in diagnosing and managing CSM. MRI methods provide detailed images and quantitative structural and functional data of the cervical spinal cord and brain, allowing for an accurate evaluation of the extent and location of tissue injury. This review aims to provide an understanding of the use of MRI methods in interrogating functional and structural changes in the central nervous system in CSM. Further, we identified several challenges hindering the clinical utility of these neuroimaging methods.
Keyphrases
- spinal cord
- magnetic resonance imaging
- contrast enhanced
- diffusion weighted imaging
- type iii
- end stage renal disease
- spinal cord injury
- neuropathic pain
- computed tomography
- magnetic resonance
- high resolution
- newly diagnosed
- chronic kidney disease
- deep learning
- ejection fraction
- multiple sclerosis
- machine learning
- peritoneal dialysis
- white matter
- mass spectrometry
- combination therapy
- convolutional neural network
- sleep quality
- physical activity
- data analysis