Study on the Performance of a Machine Learning Algorithm Recognizing and Triaging Large Vessel Occlusions Using Non-contrast CT Scans

NCT ID: NCT06216457

Last Updated: 2024-05-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

5000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-07-01

Study Completion Date

2024-10-31

Brief Summary

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The goal of this prospective observational study is to assess the effectiveness and performance of Methinks AI stroke imaging software platform in acute Code Stroke patients, and as a comparator to study sites utilizing existing AI imaging stroke platforms.

The main question\[s\] it aims to answer is:

• Performance of and outcomes associated with the use of the Methinks AI stroke imaging medical device in real-world clinical practice.

Detailed Description

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This is a prospective observational medical device clinical trial that aims to assess the diagnostic performance of Methinks Investigational Device on detecting LVO and ICH on plain NCCT and CTA, in consecutive acute Code Stroke activations at the emergency department.

Demographic, Clinical and Imaging variables will be collected from stroke onset through Day 7 or Discharge, whichever is earlier. Methinks results will be collected exclusively for research purposes and no clinical decisions will be made based on the output. Diagnostic performance of NCCT-LVO Methinks output will be assessed using DSA and/or CTA as ground truth. Presence of ICH will be assessed using an independent neuroradiologist final reading. The Clinical impact on workflow will be retrospectively estimated based on the reduction of time to decision in both transfer patients and the ones directly arriving to the emergency department (ED)

Informed consent forms (ICF) will be waived, as approved by the IRB.

Conditions

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Stroke, Ischemic Stroke Hemorrhagic Stroke, Acute Brain Ischemia

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Group 1: LVO

Subjects with Methinks NCCT algorithm detecting ICA, M1, and M2 occlusions.

AI software for Stroke

Intervention Type DEVICE

AI Software for Non-Contrast Head CT (Computed Tomography) and CT Angiography, utilized for Code Stroke screening, notification and triage.

Group 2: ICH

Subjects with Methinks NCCT algorithm detecting ICHs.

AI software for Stroke

Intervention Type DEVICE

AI Software for Non-Contrast Head CT (Computed Tomography) and CT Angiography, utilized for Code Stroke screening, notification and triage.

Group 3: Controls

Subjects with final diagnosis confirmed not to be Stroke (i.e. stroke mimic) or any type of stroke not determined to be: LVO (ICA, M1 or M2) or ICH.

AI software for Stroke

Intervention Type DEVICE

AI Software for Non-Contrast Head CT (Computed Tomography) and CT Angiography, utilized for Code Stroke screening, notification and triage.

Interventions

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AI software for Stroke

AI Software for Non-Contrast Head CT (Computed Tomography) and CT Angiography, utilized for Code Stroke screening, notification and triage.

Intervention Type DEVICE

Other Intervention Names

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Methinks AI Software

Eligibility Criteria

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Inclusion Criteria

* Subjects with acute neurological symptoms suggestive of Stroke, ischemic or hemorrhagic ("Code Stroke"), regardless of presence or absence of final Stroke diagnosis.
* Subjects aged 22 years or older.
* NCCT performed for Code Stroke screening.
* If the patient does not have a hemorrhage, a CTA (head and neck, performed for Code Stroke screening) should also be performed.
* NCCT and CTA have been processed by Methinks AI software.

Exclusion Criteria

● Subject imaging does not meet Image Acquisition and DICOM Tag Requirements
Minimum Eligible Age

22 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Santiago Ortega- global PI

UNKNOWN

Sponsor Role collaborator

Methinks Software SL

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Central Contacts

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Carlotta Calvi

Role: CONTACT

+34639041147

Related Links

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Other Identifiers

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SMART-LVO Registry

Identifier Type: -

Identifier Source: org_study_id

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