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

Heuron Inc.479 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

479

Conditions

Ischemic Stroke

Interventions

1st ReadingDEVICE

The medical team visually checks the non-contrast CT without cELVO and diagnose the large vessel occlusion.

2nd ReadingDEVICE

The medical team visually checks the non-contrast CT with assistance from the cELVO and diagnose the large vessel occlusion.

Eligibility

Sex: ALLMin age: 19 Years

Medical Language ↔ Plain English

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

Locations (1)

Gachon University Gil Medical Center

Incheon, Namdong-gu, South Korea

Outcomes

Primary Outcomes

Sensitivity and specificity of medical team compared with/without cELVO

Sensitivity and specificity of determining large vessel occlusion of medical team when using cELVO compared to not using cELVO