Main Content
Distal Radius Buckle Fracture Detection on Pediatric Radiograph
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Clinical Implementation
Value Proposition
Buckle or torus fractures are common pediatric injuries that can be subtle and challenging to detect. The appropriate identification of these fractures is important for the appropriate treatment. AI can augment the ability to detect these fractures.
Narrative(s)
A 5 year old boy with distal forearm pain after fall on outstretched hand from monkey bars at the playground.
Workflow Description
Images obtained from the radiography unit are sent to PACS and the AI engine. The images are analyzed by AI. Coordinates of areas of interest are highlighted. The radiologist confirms the finding and reports the findings. False positives and negatives are recorded for continued training.
Considerations for Dataset Development
| Procedures | {Forearm radiogram} |
| View(s) | {AP/Lateral/Oblique forearm} |
| Sex at Birth | {Male, Female} |
| Age | [0,12] |
Technical Specifications
Inputs
DICOM Study
| Procedure | Forearm radiograph |
| Views | AP, lateral and oblique views |
| Data Type | DICOM |
| Modality | Radiograph |
| Body Region | Upper Extremity |
| Anatomic Focus | Forearm, distal radius |
Primary Outputs
Forearm Distal Radius Buckle Fracture Detection
| RadElement ID | RDE689 |
| Definition | Subtle cortical deformity, buckling or angulation in the distal radius |
| Data Type | Categorical |
| Value Set |
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| Units | N/A |
Related Datasets
No known related public datasets at this time, please us alert us if you know of any.