Active clinical trials for "Spondylosis"

Low back pain may be reduced after cervical spinal surgery

The purpose of this study: Build an artificial intelligence screening tool for cervical spondylosis based on hand function analysis; Verify the accuracy of cervical spondylosis screening tools.

Prospective study, not randomised, non-interventional, monocentric, investigating an intended patient cohort of 60 patients already operated on the cervical spine due to degenerative disc disease of the cervical spine down to the first thoracolumbar VBR (C2-T1), who received a Quintex plate for stabilisation

To evaluate the efficacy of 3 different types of cervical disc prosthesis (Prodisc-C, Mobi-C and Prestige-LP) in the treatment of cervical spondylosis.

Cervical spondylotic myelopathy (CSM) is the most frequent cause of myelopathy in those over the age of 50. They claim that surgical treatment of myelopathy, especially of the mild and moderate forms, has not shown better results than conservative treatment in the long term, and criteria for the indication and the timing of the operation have not been established. In order to get some more reliable data, a long-term follow up observational study will be started to confirm the effects of long term for conservative treatment.

In this study we will prospectively examine the safety and clinical effects of ultrasound-guided cervical medial branch blocks.

Compared with the personal experience judgment of physicians, deep learning can identify something more quickly, efficiently, and accurately The identification and diagnosis of diseases save the energy of clinical and imaging doctors and achieve an individualized diagnosis of patients Diagnosis and evaluation are beneficial to the formulation of clinical surgical methods and the improvement of patients' prognoses. This study uses deep learning technology, through the big data of cervical spondylosis cases learn, to explore the use of deep learning The feasibility of identifying and analyzing the characteristic imaging findings of cervical CT images that may be suggestive of a diagnosis It is attempted to reach the level of artificial intelligence-assisted diagnosis of cervical spondylosis.

A muti-center study to compare the safety and efficacy of anterior cervical discectomy and fusion, cervical artificial disc replacement and hybrid surgery for bi-level cervical spondylosis.

To quantify potential short- and long-term benefits of robotically-guided minimally invasive (MIS) or open-approach spine surgery in adult patients undergoing multi-level spinal instrumentation surgery, in comparison to image- or navigation-guided instrumentation in a matching cohort of control patients, performed using a freehand technique, both in MIS and open approaches.

Lumbar spinal fusion was introduced approximately 70 years ago and has evolved as a treatment option for symptomatic spinal instability, spinal stenosis, spondylolisthesis, and degenerative scoliosis. Many techniques evolved since then, from wiring, rods, pedicle screws, and recently inter-spinous fixation devices like the Aspen. Along its evolutionary trail, various methods for achieving circumferential fusion have arisen. Distinct from staged anterior/posterior fusion techniques, two methods of achieving an interbody fusion from a posterior approach have emerged: posterior lumbar interbody fusion (PLIF) and transforaminal lumbar interbody fusion (TLIF). Recently, the lateral approach for interbody fusion (XLIF) has became a more common technique, requiring in some cases, complemental posterior fixation with pedicle screws, facet screws or interspinous fixation devices like the Aspen device. In this study, we address the clinical and radiological outcome of a novel technique using standard PLIF interbody fusion and insertion of the Aspen device via posterior lumbar approach.