Automated Detection and Triage of Large Vessel Occlusions Using Artificial Intelligence for Early and Rapid Treatment (ALERT)
NCT ID: NCT04142879
Last Updated: 2019-10-29
Study Results
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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UNKNOWN
500 participants
OBSERVATIONAL
2019-12-01
2021-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Non-Interventional Centers
Cohort A: Viz Subjects Initially Presenting to a Non-Interventional Center The group will be comprised of subjects randomized to Viz and who initially present to a non- interventional center.
Cohort B: Subjects Initially Presenting to a Non-Interventional Center The standard of care group will be comprised of subjects randomized to not have Viz notification and who initially present to a non-interventional center.
Viz Device Software
Viz uses artificial intelligence to automatically detect, triage and notify stroke specialists of suspected large vessel occlusion (LVOs) and computed tomography angiogram (CTA) imaging. Viz includes functionality to automatically process computed tomography perfusion (CTP) images. Additionally, Viz includes a mobile non-diagnostic image viewer and HIPAA-compliant secure messaging.
Interventional Centers
Cohort C: Viz Subjects Initially Presenting to an Interventional Center The group will be comprised of subjects randomized to Viz and who initially present to a interventional center.
Cohort D: Subjects Initially Presenting to a Interventional Center The standard of group will be comprised of subjects randomized to not have Viz notification and who initially present to an interventional center.
Viz Device Software
Viz uses artificial intelligence to automatically detect, triage and notify stroke specialists of suspected large vessel occlusion (LVOs) and computed tomography angiogram (CTA) imaging. Viz includes functionality to automatically process computed tomography perfusion (CTP) images. Additionally, Viz includes a mobile non-diagnostic image viewer and HIPAA-compliant secure messaging.
Interventions
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Viz Device Software
Viz uses artificial intelligence to automatically detect, triage and notify stroke specialists of suspected large vessel occlusion (LVOs) and computed tomography angiogram (CTA) imaging. Viz includes functionality to automatically process computed tomography perfusion (CTP) images. Additionally, Viz includes a mobile non-diagnostic image viewer and HIPAA-compliant secure messaging.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. Signs and symptoms consistent with the diagnosis of a stroke.
3. Stroke protocol imaging (CTA) with a confirmed presence of anterior LVO via Viz.
Exclusion Criteria
2. Disagreement between neuroradiologist and stroke specialist or neurointerventionalist relative to presence of a stroke.
3. Other serious, advanced, or terminal illness (investigator judgment) requiring treatment that significantly delays initiating transfer and/or treatment for stroke.
18 Years
ALL
No
Sponsors
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Viz.ai, Inc.
INDUSTRY
Providence Little Company of Mary-Torrance
OTHER
Responsible Party
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Jason Tarpley, M.D.
Neurointerventionist
Principal Investigators
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Jason Tarpley, M.D., Ph. D.
Role: PRINCIPAL_INVESTIGATOR
Providence Little Company of Mary Medical Center-Torrance
Heliane Kauffman, B.S.N., R.N.
Role: PRINCIPAL_INVESTIGATOR
Providence Health & Services
Locations
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Providence Little Company of Mary Medical Center-Torrance
Torrance, California, United States
Countries
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Central Contacts
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Facility Contacts
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References
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Benjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, de Ferranti SD, Ferguson JF, Fornage M, Gillespie C, Isasi CR, Jimenez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Lutsey PL, Mackey JS, Matchar DB, Matsushita K, Mussolino ME, Nasir K, O'Flaherty M, Palaniappan LP, Pandey A, Pandey DK, Reeves MJ, Ritchey MD, Rodriguez CJ, Roth GA, Rosamond WD, Sampson UKA, Satou GM, Shah SH, Spartano NL, Tirschwell DL, Tsao CW, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association. Circulation. 2018 Mar 20;137(12):e67-e492. doi: 10.1161/CIR.0000000000000558. Epub 2018 Jan 31. No abstract available.
Goyal M, Menon BK, van Zwam WH, Dippel DW, Mitchell PJ, Demchuk AM, Davalos A, Majoie CB, van der Lugt A, de Miquel MA, Donnan GA, Roos YB, Bonafe A, Jahan R, Diener HC, van den Berg LA, Levy EI, Berkhemer OA, Pereira VM, Rempel J, Millan M, Davis SM, Roy D, Thornton J, Roman LS, Ribo M, Beumer D, Stouch B, Brown S, Campbell BC, van Oostenbrugge RJ, Saver JL, Hill MD, Jovin TG; HERMES collaborators. Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. Lancet. 2016 Apr 23;387(10029):1723-31. doi: 10.1016/S0140-6736(16)00163-X. Epub 2016 Feb 18.
Khatri P, Yeatts SD, Mazighi M, Broderick JP, Liebeskind DS, Demchuk AM, Amarenco P, Carrozzella J, Spilker J, Foster LD, Goyal M, Hill MD, Palesch YY, Jauch EC, Haley EC, Vagal A, Tomsick TA; IMS III Trialists. Time to angiographic reperfusion and clinical outcome after acute ischaemic stroke: an analysis of data from the Interventional Management of Stroke (IMS III) phase 3 trial. Lancet Neurol. 2014 Jun;13(6):567-74. doi: 10.1016/S1474-4422(14)70066-3. Epub 2014 Apr 27.
Goyal M, Jadhav AP, Bonafe A, Diener H, Mendes Pereira V, Levy E, Baxter B, Jovin T, Jahan R, Menon BK, Saver JL; SWIFT PRIME investigators. Analysis of Workflow and Time to Treatment and the Effects on Outcome in Endovascular Treatment of Acute Ischemic Stroke: Results from the SWIFT PRIME Randomized Controlled Trial. Radiology. 2016 Jun;279(3):888-97. doi: 10.1148/radiol.2016160204. Epub 2016 Apr 19.
Other Identifiers
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ALERT-VIZ-LVO-02
Identifier Type: -
Identifier Source: org_study_id
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