Artificial Intelligence Model for Traumatic Cervical Spinal Cord Injury Based on Radiomics and Genomics

Recruiting now

Conditions studied: Spinal Cord Injuries

In brief

Collect standardized, structured, and comprehensive disease-specific information, produce high-quality and accurate clinical data, provide a sample basis for the analysis and mining of spinal cord injury clinical big data, and establish a spinal cord injury-specific disease data platform to serve clinical work. Promote multi-center cooperation in spinal cord injury research: Establish a unified, standardized, queryable, and sharable efficient spinal cord clinical research data platform to promote multi-center cooperation in spinal cord injury clinical research and enhance the international competitiveness of this research field. Help the region to prepare for the establishment of a spinal cord injury-specific disease data platform for various hospitals in the region, forming a spinal cord injury-specific disease network center to achieve data sharing.

Key facts

Study ID

NCT06436716

Run by

Affiliated 2 Hospital of Nantong University

People needed

300

Starts

2016-01-01

Expected to finish

2027-12-01

Last updated by the study team

2024-05-31

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• MRI Diagnosis of TCSCI
• Clinic Diagnosis of TCSCI
• The injury site must be in cervical spinal cord
• MRI images of T2WI must be collected within 48 hours after injury
• Complete and available imaging data, clinical data, including MRI, sex, age

You may not qualify if…

• Spinal cord concussion and MRI scans have no obvious positive performance of spinal cord
• The quality of MRI images is insufficient or there are serious motion artifacts

Where it is running

• Affiliated 2 Hospital of Nantong University — Nantong, Jiangsu, China (enrolling)

Full record on ClinicalTrials.gov

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