Objectives Lumbar disc degeneration (LDD) is prevalent, age-related and contributes to low back pain. Cross-sectional LDD as ... 6 Serial sagittal images of the thoracolumbar junction and lumbar spine ...

The prevalence of degeneration in the spine is high and concentrated predominantly in the lower lumbar spine, while there is no difference between patients fulfilling or not fulfilling the axSpA ...

Objectives Low back pain (LBP), from degenerative lumbar spine disease, represents a significant burden on healthcare resources. Studies worldwide report trends attributable to their country's ...

and the lumbar spine (the lower back). Degenerative disc disease most often affects the cervical spine in neck and lumbar spine in the lower back, due to these areas having the most movement. The ...

Description Low back pain is the leading cause of disability worldwide ... The challenge will focus on the classification of five lumbar spine degenerative conditions: Left Neural Foraminal Narrowing, ...

Lumbar stenosis (in the low back) usually affects the buttocks and legs and ... Stenosis can be caused by age-related degeneration of the spine or traumatic injury to the spine. In rarer instances, ...

The patient was a 73-year-old man with progressively disabling right hip pain for 2.5 years. The patient had failed ...

Low back pain is the leading cause of disability worldwide ... The challenge will focus on the classification of five lumbar spine degenerative conditions: Left Neural Foraminal Narrowing, Right ...

A more detailed follow up study should be considered to investigate which particular training activities have the most impact on the lumbar spine, and how to modify training methods so as to avoid the ...

The lumbar spine includes the five vertebrae in your lower back numbered L1 to L5 ... including lumbar stenosis, fracture, degenerative disc disease, and others. Surgical and non-surgical ...

Background: The high prevalence of low back ... analysis of lumbar magnetic resonance (MR) images. This study aimed to develop and evaluate a deep-learning-assisted automated system for diagnosing and ...