Is ultrasound perfusion imaging capable of detecting mismatch? A proof-of-concept study in acute stroke patients

Author:

Reitmeir Raluca1,Eyding Jens2,Oertel Markus F1,Wiest Roland3,Gralla Jan3,Fischer Urs4,Giquel Pierre-Yves5,Weber Stefan5,Raabe Andreas1,Mattle Heinrich P4,Z’Graggen Werner J1,Beck Jürgen1

Affiliation:

1. Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

2. Department of Neurology, University Hospital, Knappschaftskrankenhaus, Ruhr University Bochum, Bochum, Germany

3. Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

4. Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

5. ARTORG Center for Biomedical Engineering, University of Bern, Switzerland

Abstract

In this study, we compared contrast-enhanced ultrasound perfusion imaging with magnetic resonance perfusion-weighted imaging or perfusion computed tomography for detecting normo-, hypo-, and nonperfused brain areas in acute middle cerebral artery stroke. We performed high mechanical index contrast-enhanced ultrasound perfusion imaging in 30 patients. Time-to-peak intensity of 10 ischemic regions of interests was compared to four standardized nonischemic regions of interests of the same patient. A time-to-peak >3 s (ultrasound perfusion imaging) or >4 s (perfusion computed tomography and magnetic resonance perfusion) defined hypoperfusion. In 16 patients, 98 of 160 ultrasound perfusion imaging regions of interests of the ischemic hemisphere were classified as normal, and 52 as hypoperfused or nonperfused. Ten regions of interests were excluded due to artifacts. There was a significant correlation of the ultrasound perfusion imaging and magnetic resonance perfusion or perfusion computed tomography (Pearson's chi-squared test 79.119, p < 0.001) (OR 0.1065, 95% CI 0.06–0.18). No perfusion in ultrasound perfusion imaging (18 regions of interests) correlated highly with diffusion restriction on magnetic resonance imaging (Pearson’s chi-squared test 42.307, p < 0.001). Analysis of receiver operating characteristics proved a high sensitivity of ultrasound perfusion imaging in the diagnosis of hypoperfused area under the curve, (AUC = 0.917; p < 0.001) and nonperfused (AUC = 0.830; p < 0.001) tissue in comparison with perfusion computed tomography and magnetic resonance perfusion. We present a proof of concept in determining normo-, hypo-, and nonperfused tissue in acute stroke by advanced contrast-enhanced ultrasound perfusion imaging.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,Clinical Neurology,Neurology

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