Key result
Standardized imaging analysis and scoring are required to meaningfully pool data from large-core thrombectomy trials due to the heterogeneity of current imaging methods.
Why the study?
Does standardized imaging analysis improve the pooling and clinical applicability of data from large-core thrombectomy trials?
Does standardized imaging analysis improve the pooling and clinical applicability of data from large-core thrombectomy trials?
Answers are grounded in this paper and cite their sources.
Standardizing imaging analysis across large-core thrombectomy trials is necessary to accurately pool data and guide clinical practice.
Infarct detection is critically dependent on the imaging modality that is used and the criteria for defining tissue infarction. The recent trials of large-core thrombectomy used heterogeneous imaging methods to identify patients with large ischemic cores. Moreover, the Alberta Stroke Program Early CT Score methodology was not harmonized between the trials. Consequently, the large-core trial populations were distinct. To pool the populations in a clinically meaningful way, data should be pooled by imaging modality and time window. The imaging should be re-adjudicated using standardized criteria for imaging analysis and Alberta Stroke Program Early CT Score grading. This standardized approach can be disseminated into clinical practice so that the pooled treatment effect estimates can guide real-world patient care.
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Yoo et al. (2025) conducted an editorial in Large ischemic core stroke. Standardized imaging analysis vs. Heterogeneous imaging methods was evaluated. Standardized imaging analysis and scoring are required to meaningfully pool data from large-core thrombectomy trials due to the heterogeneity of current imaging methods.
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