Using Artificial Intelligence with Radiomics and Genomics to Study Traumatic Cervical Spinal Cord Injury Building a Comprehensive Spinal Cord Injury Data Platform for Research and Clinical Use

What this Trial Is About

Researchers are collecting detailed and standardized information about traumatic cervical spinal cord injuries to create a high-quality clinical data platform. This platform aims to support analysis and research by providing a shared database of spinal cord injury cases, promoting collaboration across multiple centers, and enhancing the competitiveness of spinal cord injury research internationally. The project also seeks to help regional hospitals establish a connected network for data sharing on spinal cord injuries. The study includes groups with no spinal cord injury control and spinal cord injury patients classified by the American Spinal Injury Association ASIA grades A through D. Every patient undergoes MRI scans, which are essential for assessing the spinal cord injury. The data collected includes MRI images, clinical information, and demographic details such as age, gender, weight, height, and body mass index BMI. Data collection spans from 2016 through 2027. Participants will have imaging and clinical assessments including MRI scans within 48 hours after injury, with ongoing collection of ASIA scores to evaluate injury severity. Researchers will monitor outcomes such as MRI findings and ASIA scores over the study period. Secondary measures like age, gender, weight, height, and BMI are also recorded. The study is observational and open to healthy volunteers, supporting long-term data gathering to improve spinal cord injury research and care.

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