Radial Head Dislocation

Purpose

Detect radial head dislocation

Tag(s)

 

Panel

 Musculoskeletal

TOUCH-AI ID

 TAI-05180010

Originator

 Munib Sana

Panel Chair

 Jay Patti

Panel Reviewers

 Musculoskeletal Panel

License

 Creative Commons 4.0

Status  Public Commenting

Clinical Implementation


Value Proposition

Injury is common, but easily missed by nonspecialists and in a busy emergency room (ER) setting. Many cases have a joint effusion and no fracture and are reported as such. AI would help to reduce the false negative rate, patient risk, and medical-legal risk for the radiologists.

Narrative(s)

A 9-year-old patient presents with trauma and/or elbow pain. An x-ray is taken in the ER. An algorithm evaluates radiocapitellar alignment and categorizes it as normal, abnormal, or indeterminate. The radiologist is informed of this categorization at the time of interpretation.

Workflow Description

Images are obtained from the modality and sent to PACS and the AI engine. The lateral x-ray image is analyzed by the AI. AI categorizes the radiocapitellar alignment as normal, abnormal, or indeterminate. The algorithm’s interpretation of the radiocapitellar line on the lateral view is accessible, should the radiologist want to display it. A message is sent to PACS from the engine with the classification information.

Considerations for Dataset Development


Procedures(s): X-ray, Elbow

View(s): Lateral

 

Sex at Birth: {Male, Female}

 

Age: [0,18]

 

Comorbidities: Cerebral Palsy

 

Other: Congenital radial head dislocations

Technical Specifications


Inputs

DICOM Study

Procedure

XRAY, Elbow

Views

Lateral

Data Type

DICOM

Modality

XRAY

Body Region

Upper Extremity

Anatomic Focus

Elbow

Primary Outputs

Radial Head Dislocations

RadElement ID

RDE255

Definition

Defines status of radial head dislocations. The radiocapitellar line runs through the radial neck, perpendicular to the proximal radial metaphyseal or epiphyseal cortex. For a normal radial head, this line intersects the capitellum. When misaligned, the radial head is likely dislocated.

Data Type

Categorical

Value Set

0-Unknown

1-Normal

2-Abnormal

Units

N/A

Public Commenting


Use cases are meant to be a primary vehicle for distributing clinical information to the developer community. They pinpoint precise scenarios within radiology workflows where potential automation could add noticeable value and establish standards for interpreting and passing corresponding common data elements. Implementing effective standards requires the perspective from all stakeholders. So to that end, we encourage your feedback on use cases.

To submit comments, please email DSIUseCases@acr.org with the use case title(s) and relevant comments by January 1, 2019. If more convenient, you may also download this use case and comment directly on the PDF. Just attach the PDF copy on the email.