Health Condition 1: M959- Acquired deformity of musculoskeletal system, unspecified
Conditions
Interventions
None listed
Sponsors
Dr DY Patil Hospital College and Research Center Pune
DeepTek Inc
International Skeletal Society
Eligibility
Inclusion criteria
Inclusion criteria: All patients presenting for an MRI spine who may have any benign pathology- hemangioma, schmorls nodule, degenerative changes. Any patient presenting with a malignant etiology- spinal metastasis, spinal vertebral tumor.
Exclusion criteria
Exclusion criteria: Post-operative spinal column changes.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| A deep learning based artificial intelligence algorithm which can perform at par with radiologists in picking up a spinal vertebral body lesion on VIBE-DIXON sequence and use it to classify a lesion as benign or malignant. Calculate sensitivity, specificity, precision, accuracy and area under the curve.Timepoint: Single timepoint (Baseline only and no follow-up)- the study is only performed once on a patient and after which processing of the data happens. We will not be reacquiring mri spine scans again for the same patient. | — |
Secondary
| Measure | Time frame |
|---|---|
| Inferences from the data will allow creation of normative data for inphase-outphase chemical shift imaging of MR spine scans on our SIEMNES scannersTimepoint: Immediately after data is analysed. | — |
Countries
India
Contacts
Public ContactPranav Ajmera
Dr DY Patil Medical College, Hospital and Research Center, DPU, Pune
Outcome results
None listed