An observational study in Spinal Stenosis, sponsored by Shanghai 10th People's Hospital. Status unknown. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2018-11-19.
Sponsored by Shanghai 10th People's Hospital · Observational
MRI is a common tool for radiographic diagnosis of spinal stenosis, but it is expensive and requires long scanning time. CT is also a useful tool to diagnose spinal stenosis, yet interpretation can be time-consuming with high inter-reader variability even among the most specialized radiologists. In this study, the investigators aim to develop a deep-learning algorithm to automatically detect and classify lumbar spinal stenosis.
MRI is a common tool for radiographic diagnosis of spinal stenosis, but it is expensive and requires long scanning time. CT is also a useful tool to diagnose spinal stenosis, yet interpretation can be time-consuming with high inter-reader variability even among the most specialized radiologists. In this study, the investigators aim to develop a deep-learning algorithm to automatically detect and classify lumbar spinal stenosis. It would be a time-saving workflow if the software can assist the radiologists to detect and locate the suspected lesion.
459 studies on the registry are indexed under Spinal Stenosis; 103 are open to participants now.
This study's planned enrollment of 500 is above the median of 116 across 152 observational studies indexed under Spinal Stenosis.
Browse Spinal Stenosis studies →Shanghai 10th People's Hospital is the lead sponsor of 167 studies on the registry; 45 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Spinal stenosis is a narrowing of the spaces within the spine, which can put pressure on the nerves that travel through the spine. Spinal stenosis occurs most often in the back, the neck, and sometimes the thoracic spine.
Some people with spinal stenosis may not have symptoms. Others may experience pain, tingling, numbness and muscle weakness. Symptoms can worsen over time.
Exclusion Criteria:
Spinal stenosis is a narrowing of the spaces within your spine, which can put pressure on the nerves that travel through the spine. Spinal stenosis occurs most often in the lower back and the neck.
Diagnostic Test: deep learning
detect and classify spinal stenosis by deep learning
diagnostic accuracy of deep learning
Diagnostic accuracy of deep learning to determine spinal stenosis compared with radiologists' labels based on CT
Time frame: 1 day
Diagnostic Performance of deep learning
Sensitivity, specificity, positive predictive value and negative predictive value of deep learning compared with radiologists' labels based on CT
Time frame: 1 day
No study locations are listed for this record.
Plan to share: Undecided
No publications or documents are linked to this record.
This study is status unknown, as verified in Nov 2018. You cannot join it, but the record below documents what was studied.
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Shanghai 10th People's Hospital