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Volumetric measurement of intracranial meningiomas: a comparison between linear, planimetric, and machine learning with multiparametric voxel-based morphometry methods.

Jonadab Dos Santos SilvaCláudia Abib SchreinerLázaro de LimaCarlos Eduardo Pinheiro Leal BrigidoChristopher D WilsonLuke McVeighJoseph AcchiardoJosé Alberto LandeiroMarcus André AciolyAaron A Cohen-Gadol
Published in: Journal of neuro-oncology (2022)
Semiautomated VBM volumetry for meningiomas is not influenced by tumor shape properties, whereas planimetry and linear methods tend to overestimate tumor volume. Furthermore, it is necessary to consider tumor roundness prior to linear measurement so as to choose the most appropriate method for each patient on an individual basis.
Keyphrases
  • machine learning
  • case report
  • artificial intelligence
  • big data