| Literature DB >> 30168180 |
Adrien Guenego1, Michael Mlynash1, Soren Christensen1, Stephanie Kemp1, Jeremy J Heit2, Maarten G Lansberg1, Gregory W Albers1.
Abstract
We hypothesized that automated assessment of collaterals on computed tomography perfusion can predict the rate of infarct growth during transfer from a primary to a comprehensive stroke center for endovascular stroke treatment. We identified consecutive patients (N = 28) and assessed their collaterals based on the hypoperfusion intensity ratio (HIR) prior to transfer. Infarct growth rate was strongly correlated with HIR (r = 0.78, p < 0.001). Receiver operating characteristic analysis identified HIR ≥ 0.5 as optimal for predicting infarct growth. Patients with HIR ≥ 0.5 had a median infarct growth rate of 10.1ml/h (interquartile range [IQR] = 6.4-18.4) compared with 0.9ml/h (IQR = 0-2.8; p < 0.001) in patients with HIR < 0.5. Patients with HIR ≥ 0.5 had an 83% probability of significant core growth, whereas patients with HIR < 0.5 had an 88% probability of core stability. These preliminary data have the potential to guide decision making regarding whether repeat brain imaging should be performed after transfer to a comprehensive stroke center. Ann Neurol 2018;84:616-620.Entities:
Mesh:
Year: 2018 PMID: 30168180 DOI: 10.1002/ana.25320
Source DB: PubMed Journal: Ann Neurol ISSN: 0364-5134 Impact factor: 10.422