Clinical Report: CT Perfusion Detects Tissue at Risk in Mild Stroke
Overview
CT perfusion imaging identifies substantial tissue at risk in patients with mild acute ischemic stroke, revealing that those with Tmax + 6-second volumes of 15 mL or greater are more likely to experience poor functional outcomes at 90 days. This multicenter study highlights the importance of advanced imaging in assessing ischemic burden, even in patients with low NIHSS scores.
Background
The identification of tissue at risk in mild acute ischemic stroke is critical for optimizing treatment strategies and improving patient outcomes. Recent guidelines emphasize the role of advanced imaging techniques, such as CT perfusion, in detecting salvageable brain tissue, particularly when clinical presentations may underestimate the severity of ischemia. Understanding the relationship between perfusion metrics and functional outcomes can guide clinical decision-making in this patient population.
Data Highlights
Outcome
Tmax + 6-second Volume
Functional Dependence (mRS 3-6)
≥ 15 mL
26%
10%
< 15 mL
10%
0%
Key Findings
22.9% of patients with mild stroke had hypoperfusion defined as Tmax + 6-second volume ≥ 15 mL.
Patients with Tmax + 6-second volumes ≥ 15 mL had poorer 90-day outcomes compared to those below this threshold.
Functional dependence occurred in 26% of patients with hypoperfusion versus 10% without.
Large vessel occlusion was present in 11.5% of mild stroke patients compared to 37.2% in moderate or higher strokes.
Independent predictors of poor outcomes included perfusion lesion volume ≥ 15 mL, hypertension, and large-vessel occlusion.
Clinical Implications
Clinicians should consider utilizing CT perfusion imaging in patients with mild acute ischemic stroke to identify those at risk for poor functional outcomes. Recognizing the presence of hypoperfusion can facilitate timely interventions and improve patient management strategies.
Conclusion
CT perfusion imaging serves as a valuable tool in detecting tissue at risk in mild strokes, enabling early identification of patients who may benefit from more aggressive treatment approaches.