Evaluation of Small Vessel Disease by Advanced Brain Imaging

Year : 2024 | Volume : 02 | Issue : 01 | Page : 15 19
    By

    Atul Khajuria,

  • Mohammad Younus,

  1. Director, LS Center for Public Health & Allied Health Sciences, Desh Bhagat University, Mandi Gobindgarh, Punjab,, India
  2. Assistant Professor, Radiology Department, Assistant Professor, Radiology Department, Khalsa College of Engineering & Technology, Amritsar, Punjab,, India

Abstract

Studying and comprehending brain small vessel disease requires extensive imaging. Recent applications of cutting-edge brain imaging techniques have led to the discovery of several significant results. Diffusion-weighted MRI studies have demonstrated the diagnostic accuracy of using clinical features alone or in combination with CT scan results to identify small vessel disease as the underlying cause is suboptimal in patients with acute lacunar syndromes. Acute infarcts caused by small vessel disease may cavitate, meld with abnormalities in the white matter, or even go unnoticed over time, according to follow-up imaging investigations on patients. High-resolution MRI may show intracranial atherosclerosis in larger arteries (which could obstruct penetrating artery orifices and result in small deep infarcts), but it is currently unable to show abnormalities in single penetrating arteries.

Keywords: Cerebral small vessel disease (SVD), computerized tomography (CT), magnetic resonance imaging (MRI), microinfarcts

[This article belongs to International Journal of Cheminformatics ]

How to cite this article:
Atul Khajuria, Mohammad Younus. Evaluation of Small Vessel Disease by Advanced Brain Imaging. International Journal of Cheminformatics. 2024; 02(01):15-19.
How to cite this URL:
Atul Khajuria, Mohammad Younus. Evaluation of Small Vessel Disease by Advanced Brain Imaging. International Journal of Cheminformatics. 2024; 02(01):15-19. Available from: https://journals.stmjournals.com/ijci/article=2024/view=190189


References

  1. Kim BJ, Kim JS. Ischemic stroke subtype classification: an Asian viewpoint. J Stroke 2014;16:8-17.
  2. Bailey EL, Smith C, Sudlow CL, Wardlaw JM. Pathology of la-cunar ischemic stroke in humans: a systematic review. Brain Pathol 2012;22:583-591
  3. Lawrence AJ, Chung AW, Morris RG, Markus HS, Barrick TR. Structural network efficiency is associated with cognitive im-pairment in small-vessel disease. Neurology 2014;83:304-311.
  4. Werring DJ (ed.). Cerebral Microbleeds. Pathophysiology to Clinical Practice. Cambridge: Cambridge University Press, 2011.
  5. Smith EE, Schneider JA, Wardlaw JM, Greenberg SM. Cere-bral microinfarcts: the invisible lesions. Lancet Neurol 2012; 11:272-282.
  6. Sweeny R, Cheng EM, Kidwell CS, Saver JL. Incidence of intra-cranial large vessel disease in patients with radiologic lacunar stroke. Neurology 1999;52(suppl 2):A557-A558.
  7. Chung JW, Kim BJ, Sohn CH, Yoon BW, Lee SH. Branch ath-eromatous plaque: a major cause of lacunar infarction (high-resolution MRI study). Cerebrovasc Dis Extra 2012;2:36-44.
  8. Kim BJ, Kim JS. Ischemic stroke subtype classification: an Asian viewpoint. J Stroke 2014;16:8-17.
  9. Kang CK, Park CA, Park CW, Lee YB, Cho ZH, Kim YB. Len-ticulostriate arteries in chronic stroke patients visualized by 7 T magnetic resonance angiography. Int J Stroke 2010;5:374-380.
  10. Catherine Westbrook Carolyn Kaut Roth with john Talbot ,Diffusion Weighted Imaging, Functional Imaging Techniques,373-376
Regular Issue Subscription Review Article
Volume 02
Issue 01
Received 16/09/2024
Accepted 18/10/2024
Published 18/12/2024
189

Login


My IP

PlumX Metrics