vertebral compression fractures
Conditions
Interventions
Gold Standard:Thoracolumbar MRI findings were used as the gold standard by two spine surgeons with more than 10 years of experience.
Fresh vertebral fractures are defined as back pain lasting less tha
Index test:1. Construct a deep learning model for automatic segmentation of fractured vertebrae on thoracolumbar CT, and calculate the segmentation accuracy of the model
2. Construct a classification model for the identification of fractured vertebrae after segmentation, and calculate the AUC, accuracy, sensitivity ,specificity,precision, F1 score of the model.
Sponsors
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Eligibility
Sex/Gender
All
Age
18 Years to 100 Years
Inclusion criteria
Inclusion criteria: ? Patients with benign vertebral compression fractures; ? Clinical and imaging data (thoracolumbar CT) are complete
Exclusion criteria
Exclusion criteria: ? Suspected infection or tumor-related pathological fracture; ? Poor image quality or presence of foreign artifacts; ? Clinical and imaging data (thoracolumbar CT) were missing.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Area under ROC curve;Accuracy;Dice Similarity Coefficient; | — |
Secondary
| Measure | Time frame |
|---|---|
| Sensitivity;Specificity;Precision;F1 score; | — |
Countries
China
Contacts
Public ContactDongsheng Huang
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Outcome results
None listed