To study the usefulness of a new software while fixing spinal fractures
Phase 2
- Conditions
- Health Condition 1: S320- Fracture of lumbar vertebraHealth Condition 2: S220- Fracture of thoracic vertebra
- Registration Number
- CTRI/2019/04/018623
- Lead Sponsor
- Science and Engineering Research Board DST
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Open to Recruitment
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Thoracolumbar (T11-L1) and Lumbar (L2-L5) vertebral fractures during the period August 2019 - August 2021
Exclusion Criteria
Fractures of the cervical and thoracolumbar spine up to T10.
Age: Children less than 18 years and elderly more than 60 years.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Automatic vertebral identi�cation algorithm will help to detect the thoracolumbar vertebral levels in C-Arm/�uoroscopic image. <br/ ><br>Timepoint: 12 months
- Secondary Outcome Measures
Name Time Method The actual pedicle screw trajectory in intraoperative C-Arm/�uoroscopy will be compared with the registered trajectory which is planned in preoperative CT providing a measurement of quality of surgery being performed. <br/ ><br>Timepoint: 24 months