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Updated: May 6, 2026

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A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
Published on: September 16, 2017
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Perfusion stability in acute stroke: An observational study exploiting repeated CTP imaging.
Alexander Rau1, Ömer Bagcilar1, Marco Reisert2,3
1Department of Neuroradiology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
European Journal of Radiology Open
|February 26, 2026
Summary
Repeated CT perfusion (CTP) scans show minimal group-level bias for infarct core and hypoperfusion volumes in acute stroke patients. While individual variability exists, intensity metrics are more consistent over time than volume estimates.
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- CT perfusion (CTP) is crucial for assessing infarct core in acute stroke.
- Limited real-world data exists on CTP reproducibility and temporal dynamics.
Purpose of the Study:
- To evaluate the reproducibility and temporal consistency of CTP metrics in acute stroke patients.
- To assess scan-to-scan variability in infarct core and hypoperfusion volumes.
Main Methods:
- Retrospective analysis of repeated CTP scans in acute stroke patients.
- Quantification of infarct core and hypoperfusion volumes using standard thresholds.
- Bland-Altman analysis to assess scan-to-scan differences and their association with time intervals.
Main Results:
- No significant systematic bias was observed at the group level for infarct core or hypoperfusion volumes.
- Substantial variability was noted in individual measurements, but intensity metrics showed lower variability than volume estimates.
- High correlations were found for core volume, hypoperfusion volume, and ASPECTS between scans, with no association with scan interval.
Conclusions:
- Repeated CTP demonstrates temporal consistency at the group level, with minimal systematic bias.
- Intensity-based CTP metrics exhibit lower variability than volume estimates.
- Findings question the direct application of linear infarct growth rate models to CTP, which reflects hemodynamic status.

