Key result
A probabilistic approach to defining mismatch based on infarct probabilities outperformed all dichotomous Tmax thresholds, except Tmax ≥ 10, for predicting infarct risk.
Why the study?
Does a probabilistic severity-weighted mismatch definition using Tmax strata more accurately define ischemic penumbra compared to single perfusion thresholds in stroke patients?
RCT (n=62)
randomized
Does a probabilistic severity-weighted mismatch definition using Tmax strata more accurately define ischemic penumbra compared to single perfusion thresholds in stroke patients?
A severity-weighted probabilistic approach to defining perfusion-diffusion mismatch may identify ischemic penumbra more accurately than single perfusion thresholds.
May refine penumbra assessment in stroke cohorts; leaves open randomized validation before clinical adoption.
BACKGROUND AND PURPOSE: The mismatch lesion volumes defined by perfusion-weighted imaging exceeding diffusion-weighted imaging have been used as a marker of ischemic penumbral tissue. Defining the perfusion lesion by thresholding has shown promise as a practical tool; several positron emission tomography studies have indicated a more probabilistic relationship between perfusion and infarction. Here, we used a randomized controlled trial dataset of tissue-type plasminogen activator 3 to 6 hours after stroke to: (1) quantify the relationship between severity of hypoperfusion (measured by Tmax) and risk of infarction; (2) exploit this relationship to present a novel definition of mismatch based on infarct probabilities rather than dichotomies; and (3) examine the treatment response in the subgroup of patients with mismatch by the new definition. METHODS: Patients from the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET) were included. Baseline perfusion-weighted imaging and 90-day T2-weighted imaging were coregistered. Perfusion-weighted imaging lesion volumes were divided into 10 Tmax delay strata, and infarct risk was defined as the fraction of the tissue at a given Tmax strata that progressed to infarction by day 90. RESULTS: Sixty-two patients were studied. Infarct risk was an increasing function of Tmax for all subgroups, including the whole cohort. The probabilistic approach outperformed all Tmax thresholds, with exception of the Tmax ≥ 10 threshold, for which it was only favored by a trend. CONCLUSIONS: Infarct risk and treatment effect increased with severity of perfusion abnormalities. This suggests that a severity-weighted mismatch definition may define penumbral tissue more accurately.
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Nagakane et al. (2012) conducted an RCT in Stroke (n=62). Probabilistic mismatch definition vs. Dichotomous Tmax thresholds was evaluated on Infarct risk by day 90. A probabilistic approach to defining mismatch based on infarct probabilities outperformed all dichotomous Tmax thresholds, except Tmax ≥ 10, for predicting infarct risk.
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