Reduction in Radiation Exposure of CT Perfusion by Optimized Imaging Timing Using Temporal Information of the Preceding CT Angiography of the Carotid Artery in the Stroke Protocol.
Zsuzsanna DeakLara SchuettoffAnn-Kathrin LohseMatthias Philipp FabritiusPaul ReidlerRobert ForbrigWolfgang Gerhard KunzKonstantinos DimitriadisJens RickeBastian SabelPublished in: Diagnostics (Basel, Switzerland) (2022)
(1) Background: CT perfusion (CTP) is a fast, robust and widely available but dose-exposing imaging technique for infarct core and penumbra detection. Carotid CT angiography (CTA) can precede CTP in the stroke protocol. Temporal information of the bolus tracking series of CTA could allow for better timing and a decreased number of scans in CTP, resulting in less radiation exposure, if the shortening of CTP does not alter the calculated infarct core and penumbra or the resulting perfusion maps, which are essential for further treatment decisions. (2) Methods: 66 consecutive patients with ischemic stroke proven by follow-up imaging or endovascular intervention were included in this retrospective study approved by the local ethics committee. In each case, six simulated, stepwise shortened CTP examinations were compared with the original data regarding the perfusion maps, infarct core, penumbra and endovascular treatment decision. (3) Results: In simulated CTPs with 26, 28 and 30 scans, the infarct core, penumbra and PRR values were equivalent, and the resulting clinical decision was identical to the original CTP. (4) Conclusions: The temporal information of the bolus tracking series of the carotid CTA can allow for better timing and a lower radiation exposure by eliminating unnecessary scans in CTP.
Keyphrases
- contrast enhanced
- computed tomography
- magnetic resonance imaging
- high resolution
- dual energy
- acute myocardial infarction
- randomized controlled trial
- atrial fibrillation
- magnetic resonance
- endovascular treatment
- health information
- public health
- image quality
- big data
- decision making
- healthcare
- coronary artery disease
- artificial intelligence
- acute coronary syndrome
- mass spectrometry
- social media
- fluorescence imaging
- deep learning