» Articles » PMID: 14576370

Beyond Mismatch: Evolving Paradigms in Imaging the Ischemic Penumbra with Multimodal Magnetic Resonance Imaging

Overview
Journal Stroke
Date 2003 Oct 25
PMID 14576370
Citations 149
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The ability to quickly and efficiently identify the ischemic penumbra in the acute stroke clinical setting is an important goal for stroke researchers and clinicians. Early and accurate identification of potentially salvageable versus irreversibly infarcted brain tissue may enable selection of the most appropriate candidates for early stroke therapies and identify patients who may still benefit from late recanalization or neuroprotective treatment. Recent advances in magnetic resonance imaging of the ischemic penumbra have been driven by serial MRI studies characterizing the natural evolution of cerebral infarction as well as the brain's response to reperfusion.

Summary Of Comment: Based on these studies, various models for imaging the penumbra with MRI have been proposed, including the pioneering diffusion-perfusion mismatch model and later multivariate approaches. Each model has its own unique advantages and disadvantages.

Conclusions: There now are sufficient data to support paradigm shifts in a variety of central tenets regarding MRI and the ischemic penumbra. These include the insights that diffusion-perfusion mismatch does not optimally define the penumbra; that early diffusion lesions are in part reversible and often include both irreversibly infarcted tissue and penumbra; that the visible zone of perfusion abnormality overestimates the penumbra by including regions of benign oligemia; that MRI is a very practical method for acute stroke imaging; and that therapeutic salvage of the ischemic penumbra has been demonstrated in humans using diffusion-perfusion MRI.

Citing Articles

Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment.

Li Z, Li H, Ralescu A, Dillman J, Altaye M, Cecil K Artif Intell Med. 2024; 157:102993.

PMID: 39369634 PMC: 11560553. DOI: 10.1016/j.artmed.2024.102993.


Amide proton transfer MRI at 9.4 T for differentiating tissue acidosis in a rodent model of ischemic stroke.

Jin T, Wang J, Chung J, Hitchens T, Sun D, Mettenburg J Magn Reson Med. 2024; 92(5):2140-2148.

PMID: 38923094 PMC: 11433955. DOI: 10.1002/mrm.30194.


Multi-Echo Complex Quantitative Susceptibility Mapping and Quantitative Blood Oxygen Level-Dependent Magnitude (mcQSM + qBOLD or mcQQ) for Oxygen Extraction Fraction (OEF) Mapping.

Cho J, Zhang J, Spincemaille P, Zhang H, Nguyen T, Zhang S Bioengineering (Basel). 2024; 11(2).

PMID: 38391617 PMC: 10886243. DOI: 10.3390/bioengineering11020131.


Advanced rehabilitation in ischaemic stroke research.

Wang J, Li Y, Qi L, Mamtilahun M, Liu C, Liu Z Stroke Vasc Neurol. 2023; 9(4):328-343.

PMID: 37788912 PMC: 11420926. DOI: 10.1136/svn-2022-002285.


Automated advanced imaging in acute ischemic stroke. Certainties and uncertainties.

Fainardi E, Busto G, Morotti A Eur J Radiol Open. 2023; 11:100524.

PMID: 37771657 PMC: 10523426. DOI: 10.1016/j.ejro.2023.100524.