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Imaging Studies I: CT and MRI01:14

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Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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An acute stroke CT imaging algorithm incorporating automated perfusion analysis.

Danielle Byrne1, John P Walsh2, Peter J MacMahon2,3

  • 1Department of Radiology, Mater Misericordiae University Hospital, Whitty Building, North Circular Road, Dublin 7, Ireland. dbyrne.radiology@gmail.com.

Emergency Radiology
|February 2, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a CT imaging algorithm for acute stroke, integrating automated CT perfusion (CTP) to improve diagnosis and treatment decisions. The algorithm aids in evaluating non-contrast CT (NCCT) and CTP for better stroke management.

Keywords:
Brain ischemiaComputed tomography angiographyComputed tomography, X-rayPerfusionStroke

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Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Acute stroke diagnosis relies heavily on advanced imaging techniques.
  • The 2018 AHA stroke guidelines expanded thrombectomy windows, increasing the need for precise imaging assessment.
  • CT perfusion (CTP) offers valuable insights but requires careful integration into stroke work-up.

Purpose of the Study:

  • To propose a novel CT imaging algorithm for acute stroke patients.
  • To detail the evaluation of non-contrast CT (NCCT) and CT angiography (CTA).
  • To outline the performance and interpretation of CT perfusion (CTP) in acute ischemic stroke.

Main Methods:

  • Algorithm development for automated CT perfusion (CTP) imaging.
  • Evaluation of non-contrast CT (NCCT) for hemorrhage and ischemia.
  • ASPECTS score calculation and CTP interpretation criteria.
  • Integration of imaging findings into acute ischemic stroke treatment paradigms.

Main Results:

  • The proposed algorithm facilitates expeditious interpretation of NCCT and CTA.
  • Key criteria for CTP decision-making and patient selection are identified.
  • Incorporation of imaging findings into treatment decisions is described.
  • Common pitfalls in CTP interpretation are highlighted.

Conclusions:

  • The algorithm enhances the diagnostic accuracy for acute stroke.
  • CTP plays a crucial role in selecting patients for extended thrombectomy windows.
  • This approach is valuable for radiologists and stroke physicians managing acute stroke cases.