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CompletedNCT04608617

SYNCHRONISE: LVO Triage Timing and Outcome Study

Observational Study of Automated Detection for Identification, Triage, and Timely Intervention in Large Vessel Occlusions- SYNCHRONISE

Status
Completed
Phase
Study type
Observational
Enrollment
600 (actual)
Sponsor
Viz.ai, Inc. · Industry
Sex
All
Age
18 Years
Healthy volunteers
Not accepted

Summary

The objective of this study is to evaluate the impact of Viz LVO in hospital systems with non-interventional and interventional (spoke and hub) stroke centers on the timing and outcomes of patients with suspected acute ischemic stroke indicated for mechanical thrombectomy.

Detailed description

This is a multi-center, non-randomized observational study of acute ischemic stroke patients whose CTA scans are analyzed by Viz LVO to support clinicians in making stroke triage decisions,. The study results will be compared to a cohort from enrolling centers prior to Viz LVO implementation that will serve as a historical control. Data will be collected retrospectively from the time of presentation through 90 days post discharge. The study will include patients undergoing imaging for a suspected LVO acute ischemic stroke. The post-Viz LVO intervention group will consist of patients who either presented to or underwent transfer to an interventional center, from a non-interventional center, following image analysis by Viz LVO. Data will be collected retrospectively on consecutive patients meeting eligibility criteria from the date of implementation up to 5 years post implementation. The control group will consist of patients who either presented to or underwent transfer to an interventional center, from a non-interventional center, for evaluation prior to the implementation of Viz LVO. Data will be collected on consecutive patients from one day prior to implementation, back as far as 2 years prior to implementation

Conditions

Interventions

TypeNameDescription
DEVICEViz LVO (De Novo Number DEN170073)Viz LVO is a notification-only, parallel workflow tool for use by hospital networks and trained clinicians to identify and communicate images of specific patients to a specialist, independent of standard of care workflow. Viz LVO uses an artificial intelligence algorithm to analyze images for findings suggestive of a pre-specified clinical condition and to notify an appropriate medical specialist of these findings in parallel to standard of care image interpretation. Identification of suspected findings is not for diagnostic use beyond notification. Specifically, the device analyzes CT angiogram images of the brain acquired in the acute setting and sends notifications to a neurovascular specialist that a suspected large vessel occlusion has been identified and recommends review of those images. Images can be previewed through a mobile application.
OTHERBaseline Effectiveness CohortNo Intervention was performed for the pre-Viz group. Record review to establish operational metrics only occurred.

Timeline

Start date
2021-03-09
Primary completion
2023-02-22
Completion
2023-04-26
First posted
2020-10-29
Last updated
2024-09-19

Locations

3 sites across 1 country: United States

Regulatory

Source: ClinicalTrials.gov record NCT04608617. Inclusion in this directory is not an endorsement.