Automatic Diagnosis of Spinal Stenosis on CT
- Conditions
- Spinal Stenosis
- Interventions
- Diagnostic Test: deep learning
- Registration Number
- NCT03746561
- Lead Sponsor
- Shanghai 10th People's Hospital
- Brief Summary
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.
- Detailed Description
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.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 500
- Age >18 years
- with radiologists' CT reports on cervical, thoracic and lumbar stenosis
- not applicable (only specific levels with extensive infections, fractures, tumor, high-grade spondylolisthesis would be excluded for analysis).
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description spinal stenosis deep learning 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.
- Primary Outcome Measures
Name Time Method diagnostic accuracy of deep learning 1 day Diagnostic accuracy of deep learning to determine spinal stenosis compared with radiologists' labels based on CT
- Secondary Outcome Measures
Name Time Method Diagnostic Performance of deep learning 1 day Sensitivity, specificity, positive predictive value and negative predictive value of deep learning compared with radiologists' labels based on CT