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Clinical Trial Details — Status: Enrolling by invitation

Administrative data

NCT number NCT04733638
Other study ID # Viz-ICH-02
Secondary ID
Status Enrolling by invitation
Phase
First received
Last updated
Start date January 26, 2021
Est. completion date February 2023

Study information

Verified date April 2022
Source Viz.ai, Inc.
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

To evaluate the performance of the Viz ICH VOLUME algorithm.


Description:

To evaluate the performance of the Viz ICH VOLUME algorithm to: 1. detect the presence of ICH on brain imaging, 2. measure the volume of ICH on brain imaging, 3. and to assess the algorithm processing time, 4. and the difference in time to notification, time to treatment, and clinical outcomes in comparison to standard of care.


Recruitment information / eligibility

Status Enrolling by invitation
Enrollment 500
Est. completion date February 2023
Est. primary completion date January 2023
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Adult patients (18 and older) - Presenting with symptoms suspicious for an acute stroke / intracranial hemorrhage - Having a complete imaging data set including NCCT +/- MRI, CTA and/or MRA Exclusion Criteria: - Subjects with poor or incomplete brain imaging.

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Viz ICH VOLUME
Viz ICH VOLUME software is a module that identifies and segments Intraparenchymal Hemorrhage (IPH) from NCCT imaging. This software is for investigational use in the study and is not FDA cleared. For subjects who undergo a brain scan, Viz will use deep learning algorithms to analyze computed tomography (CT) or magnetic resonance (MR) images of the brain for ICH in parallel to standard of care image interpretation. If a suspected ICH is detected, Viz will perform an automatic volumetric analysis and will send a notification to a specialist, such as a neurointerventionalist or a neurosurgeon. Notifications prompt the specialist to review the patient's case. Additionally, non-diagnostic previewing of DICOM images, and HIPAA-compliant text messaging and phone calls are available in the software platform. Viz ICH VOLUME is not intended for use in the diagnosis of disease or other conditions, or in the cure, mitigation, treatment, or prevention of disease, in man.

Locations

Country Name City State
United States Presbyterian Medical Center Charlotte North Carolina
United States Swedish Medical Center Healthone Englewood Colorado
United States Prisma Health Upstate Greenville South Carolina
United States Mount Sinai Hospital (Neurosurgery) New York New York
United States Forsyth Medical Center Winston-Salem North Carolina

Sponsors (1)

Lead Sponsor Collaborator
Viz.ai, Inc.

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary Algorithm Performance Sensitivity and specificity of Viz ICH VOLUME in detecting ICH compared to standard of care evaluation. Up to 10 minutes
Secondary Algorithm Processing Time Total run time in minutes for the algorithm to process the CT scan following receipt Up to 10 minutes
Secondary Time to Notification Time in minutes from CT imaging to time an interventionalist was notified Up to 10 minutes
Secondary Time to Treatment Time in minutes from CT imaging to start time of treatment up to 1 day (1440 minutes)
Secondary Length of Stay Number of days in hospital Hospital admit to discharge, up to 30 days
Secondary In Hospital Complications Occurrence of stroke-related or stroke treatment-related complications while in hospital Hospital admit to discharge, up to 30 days
Secondary Modified Rankin Scale (mRS) at Discharge and 90 Days The Modified Rankin Score (mRS) is a 6 point disability scale with possible scores ranging from 0 to 5. A separate category of 6 is usually added for patients who expire. A score of 0 is a patient with no residual symptoms. Scores increase with severity to 5 which equals severe disability. 90 days
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