Evaluation of Clinical Decision Support System for Large Vessel Occlusion Using Brain CT Images

An Open Label, Single-center, Retrospective, Pivotal Study to Evaluate the Efficacy of Clinical Decision Support System for Large Vessel Occlusion Using Brain CT Images

cELVO is a software that has been pre-learned based on a large vessel occlusion diagnosis model using brain CT images, and clinical decision support system for diagnosing large vessel occlusion by automatically analyzing brain CT images by assisting the medical team.

The specific aims of this study are to evaluate efficacy of cELVO compared to the sensitivity and specificity levels of medical team to diagnosis with and without cELVO used.

Inclusion Criteria:

• Adults over 19 years old
• Brain non-contrast CT, CT perfusion and CT angiography acquired
• Positive group: A patient diagnosed with large vessel occlusion after a non-contrast CT, CT perfusion and CT angiography
• Negative group: A normal person or a patient not diagnosed with large vessel occlusion after a non-contrast CT, CT perfusion and CT angiography

Exclusion Criteria:

• Poor or incomplete brain non-contrast CT, CT perfusion and CT angiography quality