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Role of Hypoperfusion Intensity Ratio in Vessel Occlusions: A Review on Safety and Clinical Outcomes.

Authors :
Rehman S
Nadeem A
Kasi ABU
Husnain A
Waseem S
Kumar S
Owais SM
Banu N
Lakhani DA
Salim HA
Xu R
Vagal VS
Aziz YN
Hillis AE
Urrutia VC
Llinas RH
Marsh EB
Leigh R
Lu H
Dmytriw AA
Guenego A
Albers GW
Heit JJ
Faizy TD
Yedavalli VS
Source :
AJNR. American journal of neuroradiology [AJNR Am J Neuroradiol] 2024 Oct 30. Date of Electronic Publication: 2024 Oct 30.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

The hypoperfusion intensity ratio (HIR) is a quantitative metric used in vascular occlusion imaging to evaluate the extent of brain tissue at risk due to hypoperfusion. Defined as the ratio of tissue volume with a time-to-maximum (Tmax) of >10 seconds to that of >6 seconds, HIR assists in differentiating between the salvageable penumbra and the irreversibly injured core infarct. This review explores the role of HIR in assessing clinical outcomes and guiding treatment strategies, including mechanical thrombectomy and thrombolytic therapy, for patients with large vessel occlusions (LVOs). Evidence suggests that higher HIR values are associated with worse clinical outcomes, indicating more severe tissue damage and reduced potential for salvage through reperfusion. Additionally, HIR demonstrates predictive accuracy regarding infarct growth, collateral flow, and the risk of reperfusion hemorrhage. It has shown superiority over traditional metrics, such as core infarct volume, in predicting functional outcomes. HIR offers valuable insights for risk stratification and treatment planning in patients with LVOs and distal medium vessel occlusions (DMVOs). Incorporating HIR into clinical practice enhances patient care by improving decision-making processes, promoting timely interventions, and optimizing post-intervention management to minimize complications and improve recovery outcomes.<br />Competing Interests: The authors declare no conflicts of interest related to the content of this article.<br /> (© 2024 by American Journal of Neuroradiology.)

Details

Language :
English
ISSN :
1936-959X
Database :
MEDLINE
Journal :
AJNR. American journal of neuroradiology
Publication Type :
Academic Journal
Accession number :
39477546
Full Text :
https://doi.org/10.3174/ajnr.A8557