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Stroke: Baseline perfusion imaging to predict the growth rate of stroke infarction

 Last Update: 2021-10-09
 Source: Internet
 Author: User

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Computed tomography perfusion imaging can assess the tissue status of patients with acute ischemic stroke

Stroke

Recently, the heart blood vessels published a research article on the disease areas authoritative journal Stroke, the researchers aimed at improving the prediction of the final infarct and infarct growth rate of single use at a depth of learning

Heart blood vessels

Researchers trained a deep neural network based on raw computed tomography perfusion images, reperfusion time, and reperfusion status in a derived cohort (MRCLEAN trial [Multicenter randomized clinical trial for endovascular treatment of acute ischemic stroke in the Netherlands])

The researchers included 127 patients from the MRCLEAN (derivation) study and 101 patients from the CRISP (validation) study

It can be seen that the researchers verified a deep learning-based method, which improves the final infarct volume estimation compared with the classic computed tomography perfusion imaging examination

The researchers verified a deep learning-based method that improved the final infarct volume estimation compared with the classic computed tomography perfusion imaging examination

Original source:

Anke Wouters.

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