ArticleiScience2026
Trimodal ultrasound imaging of brain-tumor interaction.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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5 authors.
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Abstract
Brain tumors cause debilitating neurological dysfunction by disrupting brain tissue and altering local and global neurovascular activity and blood flow. Studying tumor-brain interactions in animal models is challenging, as no single method captures tumor growth, neurovascular activity, and vascular remodeling over time. Here, we overcome this limitation with a multimodal ultrasound platform combining nonlinear imaging of acoustic reporter gene-expressing tumors, functional hemodynamic imaging of brain activity, and super-resolution vascular microscopy. Applying it to a U87 glioblastoma xenograft model, we followed individual animals across their disease lifetimes. Co-registration of all three readouts linked the displacement and weakening of the lateral geniculate nucleus to the molecularly defined tumor and the vascular remodeling around it. We also identified a tumor-intrinsic hemodynamic signal, spatially uniform and uncoupled from surrounding networks, that hemodynamic imaging alone could not distinguish from displaced tissue. This platform provides a foundation for mechanistic studies in more invasive glioma models.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.