ReviewActa neurochirurgica2026
Elasticity-guided tumor resection: applying biomechanical information to neurosurgical practice.
Review in Acta neurochirurgica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor stiffness and adhesion are decisive factors in neurosurgical strategy, yet they remain absent from standard planning and navigation. Advances in biomechanics allow these properties to be measured and mapped across modalities: magnetic resonance elastography for preoperative stiffness and adhesion, intraoperative ultrasound elastography for real-time updates, and rheometry as biological ground truth. Emerging frameworks could integrate these measurements with artificial intelligence and multimodal neuroimaging to produce probabilistic maps of tumor consistency and brain-tumor interface quality. We define this concept as elasticity-guided neurosurgery: the incorporation of biomechanical parameters into surgical decision-making to improve safety, efficiency, and personalization. By transforming tactile impressions into actionable data, elasticity-guided neurosurgery could represent a paradigm shift toward more information-driven neurosurgical oncology.
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Registered trials
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 OpenQuestion graph.