An acute stroke CT imaging algorithm incorporating automated perfusion analysis.
Danielle ByrneJohn P WalshPeter J MacMahonPublished in: Emergency radiology (2019)
In this paper, we propose a CT imaging algorithm for patients presenting with suspected acute stroke that incorporates automated CT perfusion (CTP) imaging. The algorithm details evaluation of the non-contrast CT (NCCT) for hemorrhage and acute ischemia, calculation of ASPECTS, with performance and interpretation of CTP if appropriate. In particular, we consider the key steps in expeditious interpretation of non-contrast CT and CT angiography in the context of suspected acute ischemic stroke. Given the recent expansion of the "imaging based" treatment window for thrombectomy from 6 to 24 h in the 2018 American Heart Association stroke guidelines, we consider the key criteria in the decision to perform CT perfusion and the patient cohorts in which this might be most helpful. We also describe how imaging findings might be incorporated into the treatment paradigm for suspected with acute ischemic stroke and we allude to some of the most frequently encountered pitfalls associated with CTP which we think will be particularly helpful for radiologists and stroke physicians who are considering adding CT perfusion to their work-up for acute stroke.
Keyphrases
- contrast enhanced
- acute ischemic stroke
- image quality
- dual energy
- computed tomography
- magnetic resonance imaging
- high resolution
- magnetic resonance
- machine learning
- deep learning
- positron emission tomography
- atrial fibrillation
- pulmonary embolism
- heart failure
- primary care
- high throughput
- artificial intelligence
- drug induced
- fluorescence imaging
- case report
- photodynamic therapy
- clinical practice