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Related Concept Videos

Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...

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Related Experiment Video

Updated: Jun 19, 2026

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli
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Multicenter comparison using two AI stroke CT perfusion software packages for determining thrombectomy eligibility.

Benjamin T Alwood1, Dawn M Meyer2, Chip Ionita3

  • 1Department of Vascular Neurology, University of Florida, Jacksonville, FL, United States; University of California San Diego Stroke Center, University of California San Diego, San Diego, CA, United States.

Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|May 4, 2024
PubMed
Summary
This summary is machine-generated.

AI stroke software shows volume differences but similar thrombectomy eligibility. Scanner models and protocols can impact results, necessitating vendor and manufacturer collaboration for optimal CT perfusion accuracy.

Keywords:
Acute strokeCT PerfusionDEFUSE-3, Mechanical thrombectomyInterventional neuroradiologyIschemic stroke

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Area of Science:

  • Neurology
  • Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • AI platforms for stroke assist in identifying mechanical thrombectomy candidates by assessing infarcted core and penumbra.
  • Limited multicenter research exists comparing these AI platforms, particularly regarding scanner and protocol variations.
  • This study compares Viz.ai and RAPID.AI CTP software outputs in a large multicenter cohort.

Purpose of the Study:

  • To compare volume estimates and mechanical thrombectomy eligibility between Viz.ai and RAPID.AI CTP software.
  • To analyze the influence of NIHSS scores, scanner models, and institutional protocols on software performance.
  • To identify potential discrepancies in stroke assessment and treatment eligibility across different CTP platforms and settings.

Main Methods:

  • Analysis of CT perfusion (CTP) data from acute stroke patients with large vessel occlusion (LVO) across four institutions.
  • Estimation of core and penumbra volumes using Viz.ai and RAPID.AI software.
  • Assessment of DEFUSE-3 thrombectomy eligibility and comparison of results stratified by NIHSS score, scanner type, and institution.

Main Results:

  • Statistically significant differences in core and penumbra volume estimates between Viz.ai and RAPID.AI were observed (p<0.001).
  • Subgroup analysis revealed scanner model (Canon Aquilion One) and NIHSS scores influenced volume discrepancies, with Viz.ai generally reporting larger volumes.
  • Despite volume differences, primary analysis and NIHSS subgroup analysis did not find a significant difference in DEFUSE-3 thrombectomy eligibility.

Conclusions:

  • Systematic volume estimation differences exist between Viz.ai and RAPID.AI, but DEFUSE-3 eligibility remained comparable in primary and NIHSS subgroup analyses.
  • Scanner model and local CTP protocols can introduce performance variations and affect thrombectomy eligibility, as noted with the Canon Aquilion One at one center.
  • Collaboration between healthcare centers, software vendors, and scanner manufacturers is recommended to optimize CTP protocols and enhance accuracy.