Main Content
Tarsometatarsal Joint Status
| Purpose | Detect if Lisfranc joint is normal or abnormal |
| Tag(s) |
|
| Panel | Musculoskeletal |
| Define-AI ID | 18050016 |
| Originator | Musculoskeletal Panel |
| Panel Chair | Jay Patti |
| Panel Reviewers | Musculoskeletal Panel |
| License | |
| Status | Published |
Clinical Implementation
Value Proposition
Injury is common but easily missed by nonspecialists. Nonspecialists would benefit from an algorithm that segments the joint and detects abnormality. AI meeting this use case would help to reduce the false negative rate, patient risk, and the medical legal risk for the radiologists.Narrative(s)
A 25-year-old patient presents with foot trauma and an x-ray is taken in the emergency room. An algorithm evaluates the image and categorizes the joint as normal, abnormal, or undetermined. The radiologist is informed of this categorization at the time of interpretation.Workflow Description
An image is obtained from a modality and sent to PACS and the AI engine. The image is analyzed by the engine. The system categorizes the Lisfranc joint as normal, abnormal, or uncertain. A message is sent to PACS from the engine with the classification information. If the location of the joint is also identified, the location information can also be sent to PACS to highlight the region the engine identified.Considerations for Dataset Development
Procedures(s): X-ray, Lower Extremity
View(s): {AP, Oblique, Lateral}
Sex at Birth: {Male, Female}
Age: [15,90]
Anatomy Altering Conditions: {Diabetes, Charcot Joint}
Position: {weight bearing, non-weight bearing}
Weight: varied
Technical Specifications
Inputs
DICOM Study
| Procedure | XRAY, Lower Extremity |
| Views | AP, Oblique, Lateral |
| Data Type | DICOM |
| Modality | XRAY |
| Body Region | Lower Extremity |
| Anatomic Focus | Foot |
Primary Outputs
Lisfranc Joint Status
| RadElement ID | RDE262 |
| Definition | Status of Lisfranc joint |
| Data Type | Categorical |
| Value Set | 0–Unknown 1–Normal 2–Abnormal |
| Units | N/A |
Related Datasets
No known related public datasets at this time, please us alert us if you know of any.