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

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

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Overview

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.

Eligibility

Inclusion Criteria:

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

Exclusion Criteria:

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

Study details
    Spinal Cord Injuries

NCT06436716

Affiliated 2 Hospital of Nantong University

7 June 2024

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