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Evaluation of Intracranial Arteriovenous Malformations Using Ischemic Stroke Color-Coded Maps Software, a New Rapid Post-Processing Tool in CT Angiography. | LitMetric

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Article Abstract

: In patients with intracranial arteriovenous malformation (AVM), the first diagnostic analysis is often performed in emergency conditions by Computed Tomography (CT) and multiphase CT angiography (CTA). Nevertheless, once ruptured, an AVM might be hardly recognized by an inexperienced neuroradiologist, due to the presence of hematoma or to the destructuring of the lesion. The aim of our study is to outline the utility of color-coded maps derived from multiphase CT angiography in the assessment of cerebral AVMs, evaluating inter-observer agreement between radiologists with different years' experience and comparing the results with the gold standard, angiography. : The color-coded maps were obtained retrospectively by multiphase CT angiography on a workstation using FastStroke software ColorViz (GE Healthcare, Milwaukee, WI, USA). The color-coded maps were evaluated, independently, by two neuroradiologists, and inter-observer agreement was evaluated. Finally, the AVM's features (arterial feeders, nidus type, venous drainage type) obtained with color-coded maps were compared with angiographic analysis. The Ethical Committee for Research in Medical Imaging approved this study (Institutional Review Board number 6467). Informed consent was obtained for every patient. : A total of 26 patients with intracranial hemorrhage and arteriovenous malformation underwent multiphase CT angiography and were analyzed. Our statistical analysis showed the reproducibility of the color-coded maps and agreement with the angiographic findings, especially in the evaluation of venous drainage type. : The ColorViz color-coded maps have proved to be an effective tool in the identification and assessment of AVMs, providing rapid and clear information on intracranial vascular dynamics, even for inexperienced radiologists.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12387073PMC
http://dx.doi.org/10.3390/jcm14165833DOI Listing

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