Literature DB >> 33256582

Multimodality Imaging in Acute Ischemic Stroke.

Shahla Zameer1, Ayesha Shamim Siddiqui1, Ramish Riaz1.   

Abstract

Stroke is the most common cause of mortality and morbidity worldwide. The prognosis of stroke depends upon the area affected and its early treatment. Time is of the essence in the care of stroke patients as it is estimated that approximately 1.9 million neurons, 14 billion synapses, and 12 km myelinated nerve fibers are lost per minute. Therefore, early diagnosis and prompt treatment are necessary. The primary goal of imaging in acute stroke is to diagnose the underlying cause, estimate the area affected, predict response towards thrombolytic therapy and to exclude the conditions mimicking stroke. With advancements in radiology, multiple imaging modalities are available for diagnosis and predicting prognosis. None of them is considered alone to be perfect. In this era of multimodality imaging, the decision of choosing appropriate techniques depends upon purpose and availability. Non-Contrast Computed Tomography is time effective, and helps in excluding other causes, Trans Cranial Doppler is time-effective and cost-effective with wide availability, however, is operator dependent and less sensitive. It holds a great future in sonothrombolysis. Magnetic Resonance Imaging is so far considered to be the most superior one in terms of early diagnosis, planning for interventional treatment and predicting the response of treatment. However, it is limited due to high cost and lack of availability. The current review gives a detailed account of all imaging modalities available for imaging stroke and their associated pros and cons. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Stroke; computed tomography; imaging; magnetic resonance imaging; perfusion imaging; transcranial doppler

Year:  2021        PMID: 33256582     DOI: 10.2174/1573405616666201130094948

Source DB:  PubMed          Journal:  Curr Med Imaging


  1 in total

1.  Identification of immune-related key genes in the peripheral blood of ischaemic stroke patients using a weighted gene coexpression network analysis and machine learning.

Authors:  Peng-Fei Zheng; Lu-Zhu Chen; Peng Liu; Hong Wei Pan; Wen-Juan Fan; Zheng-Yu Liu
Journal:  J Transl Med       Date:  2022-08-12       Impact factor: 8.440

  1 in total

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