A Quantitative Comparison of Clinically Employed Parameters in the Assessment of Acute Cerebral Ischemia Using Dynamic Susceptibility Contrast Magnetic Resonance Imaging
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Updated: Jan 30, 2026

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
Published on: September 16, 2017
Christian Nasel1,2,3, Uros Klickovic2,4, Heike-Marie Kührer2
1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Abstract:
Purpose: Perfusion magnetic resonance imaging (P-MRI) is part of the mismatch concept employed for therapy decisions in acute ischemic stroke. Using dynamic susceptibility contrast (DSC) MRI the time-to-maximum (Tmax) parameter is quite popular, but its inconsistently defined computation, arterial input function (AIF) selection, and the applied deconvolution method may introduce bias into the assessment. Alternatively, parameter free methods, namely, standardized time-to-peak (stdTTP), zf-score, and standardized-zf (stdZ) are also available, offering consistent calculation procedures without the need of an AIF or deconvolution. Methods: Tmax was compared to stdTTP, zf-, and stdZ to evaluate robustness of infarct volume estimation in 66 patients, using data from two different sites and MR systems (i.e., 1.5T vs. 3T; short TR (= 689 ms) vs. medium TR (= 1,390 ms); bolus dose 0.1 or 0.2 ml/kgBW, respectively). Results: Quality factors (QF) for Tmax were 0.54 ± 0.18 (sensitivity), 0.90 ± 0.06 (specificity), and 0.87 ± 0.05 (accuracy). Though not significantly different, best specificity (0.93 ± 0.05) and accuracy (0.90 ± 0.04) were found for stdTTP with a sensitivity of 0.56 ± 0.17. Other tested parameters performed not significantly worse than Tmax and stdTTP, but absolute values of QFs were slightly lower, except for zf showing the highest sensitivity (0.72 ± 0.16). Accordingly, in ROC-analysis testing the parameter performance to predict the final infarct volume, stdTTP and zf showed the best performance. The odds for stdTTP to obtain the best prediction of the final infarct size, was 6.42 times higher compared to all other parameters (odds-ratio test; p = 2.2*10-16). Conclusion: Based on our results, we suggest to reanalyze data from large cohort studies using the parameters presented here, particularly stdTTP and zf-score, to further increase consistency of perfusion assessment in acute ischemic stroke.
Insights
Standardized time-to-peak (stdTTP) and zf-score offer more consistent perfusion assessment in acute ischemic stroke than traditional Tmax. These parameter-free methods improve infarct volume estimation, aiding therapy decisions.
Area of Science:
- Neuroimaging
- Radiology
- Stroke Medicine
Background:
- Perfusion magnetic resonance imaging (P-MRI) is crucial for acute ischemic stroke therapy decisions.
- Dynamic susceptibility contrast (DSC) MRI's time-to-maximum (Tmax) parameter is widely used but subject to bias from inconsistent computation and arterial input function (AIF) selection.
- Parameter-free methods like standardized time-to-peak (stdTTP), zf-score, and standardized-zf (stdZ) offer consistent calculations without AIF or deconvolution.
Purpose of the Study:
- To compare the robustness of infarct volume estimation using Tmax against parameter-free methods (stdTTP, zf-, stdZ).
- To evaluate the performance of different perfusion parameters across varying MRI acquisition parameters and sites.
Main Methods:
- Compared Tmax with stdTTP, zf-, and stdZ in 66 acute ischemic stroke patients.
- Utilized data from two sites with different MRI systems (1.5T vs. 3T) and acquisition parameters (TR, bolus dose).
- Assessed parameter performance using quality factors (QF) for sensitivity, specificity, accuracy, and Receiver Operating Characteristic (ROC) analysis.
Main Results:
- stdTTP demonstrated the highest specificity (0.93 ± 0.05) and accuracy (0.90 ± 0.04), with sensitivity of 0.56 ± 0.17.
- zf-score showed the highest sensitivity (0.72 ± 0.16), while other parameters performed comparably to Tmax.
- ROC analysis revealed stdTTP and zf-score as the best predictors of final infarct volume, with stdTTP showing significantly higher predictive power (odds ratio = 6.42).
Conclusions:
- Parameter-free methods, particularly stdTTP and zf-score, provide more consistent and robust infarct volume estimation in acute ischemic stroke.
- Reanalysis of large cohort studies using these parameters is recommended to enhance the consistency of perfusion assessment.
- These findings support the adoption of stdTTP and zf-score for improved clinical decision-making in acute stroke management.
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