FindTrial
Sign In

Artificial Intelligence-based Large Vessel Occlusion Diagnosis Algorithm Verification

Artificial Intelligence-based Large Vessel Occlusion Diagnosis Algorithm Verification: A retrospective, multicenter, confirmatory study to evaluate the safety and effectiveness of JBS-LVO, a brain image detection and diagnostic aid software that evaluates the presence of large vessel occlusion using brain CTA images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0009457
Enrollment
603
Registered
2024-05-24
Start date
2023-10-01
Completion date
Unknown
Last updated
2024-05-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

JLK
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Age: 18 years or older 2) Period: January 1, 2017 to December 31, 2022 3) Data on patients who underwent brain CTA due to suspected LVO among patients who visited the emergency rooms of Chonnam National University Hospital and Daejeon Eulji University Hospital. 4) Data of patients with corrupt CTA 5) Guest data whose ownership is recognized for two reasons 6) Data from patients with CTA plus section thickness of 0.5 to 2.0 mm

Exclusion criteria

Exclusion criteria: 1) Patients with symptomatic LVO and asymptomatic LVO 2) Patients who took a brain CTA image, but an error occurred in the DICOM storage format and the image could not be read, making analysis impossible 3) A patient who had a brain CTA image taken, but analysis was not possible because the area within the brain could not be diagnosed due to strong metal artifacts. 4) Patients with insufficient analysis due to missing slices in brain CTA images 5) Those who have had a brain CTA image taken, but the subject's age, gender, date of shooting, and CT image sequence information for identification are unclear. 6) Patients who do not have enough vascular information to determine LVO because the contrast agent is insufficient or the contrast agent does not sufficiently fill the blood vessels. 7) Patients used for artificial intelligence model learning and internal verification

Design outcomes

Primary

MeasureTime frame
The sensitivity and specificity of the software (JBS-LVO) comparing the LVO presence diagnosis result with the reference standard.—

Secondary

MeasureTime frame
Predictive sensitivity and specificity of the software (JBS-LVO) by location of large vessel occlusion (carotid artery [ICA], proximal middle cerebral artery [M1], distal middle cerebral artery [M2])—

Countries

Korea, Republic of

Contacts

Public ContactJoon-Tae Kim

Chonnam National University Hospital

alldelight2@hanmail.net+82-62-220-5257

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026