Health Condition 1: S320- Fracture of lumbar vertebra Health Condition 2: S220- Fracture of thoracic vertebra
Conditions
Interventions
Intervention1: Nil: There is currently no method to accurately predict and perform pedicular screw insertion in the thoracolumbar and lumbar vertebral fractures. Hence there is a need to develop softw
Sponsors
Science and Engineering Research Board DST
Kasturba Medical College Manipal
Eligibility
Inclusion criteria
Inclusion criteria: Thoracolumbar (T11-L1) and Lumbar (L2-L5) vertebral fractures during the period August 2019 - August 2021
Exclusion criteria
Exclusion criteria: Fractures of the cervical and thoracolumbar spine up to T10. Age: Children less than 18 years and elderly more than 60 years.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Automatic vertebral identiï¬?cation algorithm will help to detect the thoracolumbar vertebral levels in C-Arm/ï¬?uoroscopic image. Timepoint: 12 months | — |
Secondary
| Measure | Time frame |
|---|---|
| The actual pedicle screw trajectory in intraoperative C-Arm/ï¬?uoroscopy will be compared with the registered trajectory which is planned in preoperative CT providing a measurement of quality of surgery being performed. Timepoint: 24 months | — |
Countries
India
Contacts
Public ContactDr Shyamasunder Bhat N
Manipal Academy of Higher Education
Outcome results
None listed