Deep Learning and Radiomic Features in The Classification of T2 Weighted MRI Images in Patients with and without low Backpai
Not Applicable
- Conditions
- Health Condition 1: M959- Acquired deformity of musculoskeletal system, unspecified
- Registration Number
- CTRI/2023/08/056954
- Lead Sponsor
- I
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Patients referred for MRI Whole spine screening
18 years and above
1)For symptomatic cases: Low back pain over a period of 12 months
2)For assymptomatic cases: No current back pain
Exclusion Criteria
Tumour,Uncontrolledhypertension,Severe osteoporosis and Previous spine surgery
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method To investigate the accuracy of deep learning methods in classification of Lumbar <br/ ><br>Spine MRI images into symptomatic & asymptomatic cases.Timepoint: 15 months
- Secondary Outcome Measures
Name Time Method To identify the significant MRI radiomic features in patients with & without back <br/ ><br>pain. <br/ ><br>Timepoint: 15 months