Odontoid Fracture

Purpose	Detect odontoid fracture on cervical spine trauma radiographs
Tag(s)
Panel	Musculoskeletal
Define-AI ID	18050006
Originator	Dan Chernoff
Panel Chair	Jay Patti
Panel Reviewers	Musculoskeletal Panel
License	Creative Commons 4.0
Status	Published

Clinical Implementation

Value Proposition

Odontoid fracture is a potentially devastating injury that is often subtle and underreported on cervical spine radiographs by radiologists and emergency physicians. AI meeting this use case would help to reduce the false negative rate, patient risk, and medicolegal risk for physicians and facilities involved in the care of trauma patients.

Narrative(s)

A 25-year-old patient presents with head and neck trauma, and a cervical spine 3-view series (AP, lateral, and odontoid view) is taken in the emergency room. An algorithm evaluates the lateral and odontoid views and categorizes the odontoid process as intact or fractured. The physician 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 images are analyzed by the engine. The system categorizes the odontoid as normal or fractured using a binary classifier. A message is sent to PACS from the engine with the classification information.

Considerations for Dataset Development

Procedures(s): X-ray, cervical spine

View(s): {Lateral, AP, Odontoid}

Sex at Birth: {Male, Female}

Age (years): older than 15

Developmental Anomalies: {os odontoideum, unossified synchondrosis}

Other: Corticated margins

Technical Specifications

Inputs

DICOM Study

Procedure	XRAY, cervical spine
Views	Lateral, AP, Odontoid
Data Type	DICOM
Modality	XRAY
Body Region	Spine
Anatomic Focus	Spinal Cord

Primary Outputs