Phase-based Metamorphosis of Diffusion Lesion in Relation to Perfusion Values in Acute Ischemic Stroke

Islem Rekik, Stéphanie Allassonnière, Marie Luby, Trevor Carpenter, Joanna Wardlaw

Research output: Contribution to journalArticlepeer-review

Abstract

Examining the dynamics of stroke ischemia is limited by the standard use of 2D-volume or voxel-based analysis techniques. Recently developed spatiotemporal models such as the 4D metamorphosis model showed promise for capturing ischemia dynamics. We used a 4D metamorphosis model to evaluate acute ischemic stroke lesion morphology from the acute diffusion-weighted imaging (DWI) to final T2-weighted imaging (T2-w). In 20 representative patients, we metamorphosed the acute lesion to subacute lesion to final infarct. From the DWI lesion deformation maps we identified dynamic lesion areas and examined their association with perfusion values inside and around the lesion edges, blinded to reperfusion status. We then tested the model in ten independent patients from the STroke Imaging Repository (STIR). Perfusion values varied widely between and within patients, and were similar in contracting and expanding DWI areas in many patients in both datasets. In 25% of patients, the perfusion values were higher in DWI-contracting than DWI-expanding areas. A similar wide range of perfusion values and ongoing expansion and contraction of the DWI lesion were seen subacutely. There was more DWI contraction and less expansion in patients who received thrombolysis, although with widely ranging perfusion values that did not differ. 4D metamorphosis modeling shows promise as a method to improve use of multimodal imaging to understand the evolution of acute ischemic tissue towards its fate.
Original languageEnglish
Pages (from-to)44-49
JournalNeuroImage: Clinical
Volume9
Early online date1 Aug 2015
DOIs
Publication statusPublished - Sep 2015

Fingerprint Dive into the research topics of 'Phase-based Metamorphosis of Diffusion Lesion in Relation to Perfusion Values in Acute Ischemic Stroke'. Together they form a unique fingerprint.

Cite this