AUTHOR=Thormann Maximilian , Faltass Maria , Schwab Roland , Klebingat Stefan , Behme Daniel 

TITLE=Assessing the accuracy of automated CT perfusion software in excluding acute stroke: a comparative study of two software packages

JOURNAL=Frontiers in Neuroimaging

VOLUME=Volume 4 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/neuroimaging/articles/10.3389/fnimg.2025.1613078

DOI=10.3389/fnimg.2025.1613078

ISSN=2813-1193

ABSTRACT=BackgroundComputed tomography perfusion (CTP) is frequently used for the rapid assessment of suspected acute ischemic stroke (AIS). However, small lacunar infarcts often remain undetected by automated software, leading to false negatives and additional imaging. We compared the specificity of two commonly used CTP software packages in patients without evidence of stroke on follow-up diffusion-weighted imaging (DWI).MethodsIn this single-center retrospective study, 58 consecutive patients with suspected AIS but negative follow-up DWI–MRI were included. All patients underwent CTP on the same scanner. Perfusion data were processed using (1) syngo.via (Siemens Healthcare) with three parameter settings—A: CBV < 1.2 mL/100 mL, B: additional smoothing filter, and C: rCBF <30%—and (2) Cercare Medical Neurosuite (CMN). Software-reported ischemic core volumes were compared with the MRI findings.ResultsCMN showed the highest specificity, indicating zero infarct volume in 57/58 patients (98.3%). Conversely, all three syngo.via settings produced false-positive ischemic cores, with median volumes ranging from 21.3 mL (setting C) to 92.1 mL (setting A). Only syngo.via setting C reported zero infarct volume in some patients, yet still showed substantial overestimation (maximum 207.9 mL).ConclusionOur findings underscore the significant variability in the ability of different CTP software packages to reliably rule out small (lacunar) infarcts. CMN demonstrated good specificity, suggesting that dependable CTP-based stroke exclusion is achievable with advanced post-processing. High specificity could reduce reliance on follow-up MRI in acute stroke pathways if validated, thereby improving resource allocation and patient throughput.