ArticleActa neurochirurgica2023
Utility of texture analysis for objective quantitative ex vivo assessment of meningioma consistency: method proposal and validation.
Article in Acta neurochirurgica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Mechanical instability as a signature of viscoelastic decoupling at the tumor-brain interface.Biomaterials advances · 2026Article
- Elasticity-guided tumor resection: applying biomechanical information to neurosurgical practice.Acta neurochirurgica · 2026Review
- Mechanical Instability as a Signature of Viscoelastic Decoupling at the Tumor-Brain Interface.medRxiv : the preprint server for health sciences · 2025Article
- An attempt to identify brain tumour tissue in neurosurgery by mechanical indentation measurements.Acta neurochirurgica · 2024Article
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9 authors.
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Abstract
backgroundTumor consistency is considered to be a critical factor for the surgical removal of meningiomas and its preoperative assessment is intensively studied. A significant drawback in the research of predictive methods is the lack of a clear shared definition of tumor consistency, with most authors resorting to subjective binary classification labeling the samples as "soft" and "hard." This classification is highly observer-dependent and its discrete nature fails to capture the fine nuances in tumor consistency. To compensate for these shortcomings, we examined the utility of texture analysis to provide an objective observer-independent continuous measure of meningioma consistency.
methodsA total of 169 texturometric measurements were conducted using the Brookfield CT3 Texture Analyzer on meningioma samples from five patients immediately after the removal and on the first, second, and seventh postoperative day. The relationship between measured stiffness and time from sample extraction, subjectively assessed consistency grade and histopathological features (amount of collagen and reticulin fibers, presence of psammoma bodies, predominant microscopic morphology) was analyzed.
resultsThe stiffness measurements exhibited significantly lower variance within a sample than among samples (p = 0.0225) and significant increase with a higher objectively assessed consistency grade (p = 0.0161, p = 0.0055). A significant negative correlation was found between the measured stiffness and the time from sample extraction (p < 0.01). A significant monotonic relationship was revealed between stiffness values and amount of collagen I and reticulin fibers; there were no statistically significant differences between histological phenotypes in regard to presence of psammoma bodies and predominant microscopic morphology.
conclusionsWe conclude that the values yielded by texture analysis are highly representative of an intrinsic consistency-related quality of the sample despite the influence of intra-sample heterogeneity and that our proposed method can be used to conduct quantitative studies on the role of meningioma consistency.
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