AIMC Topic: Supratentorial Neoplasms

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Morphometric and radiomics analysis toward the prediction of epilepsy associated with supratentorial low-grade glioma in children.

Cancer imaging : the official publication of the International Cancer Imaging Society May 19, 2025
OBJECTIVES: Understanding the impact of epilepsy on pediatric brain tumors is crucial to diagnostic precision and optimal treatment selection. This study investigated MRI radiomics features, tumor location, voxel-based morphometry (VBM) for gray matt...
Humans Retrospective Studies Female Radiomics Male Infant Adolescent Child, Preschool Child Glioma Magnetic Resonance Imaging Epilepsy Neoplasm Grading Supratentorial Neoplasms
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Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers.

World neurosurgery Nov 28, 2020
BACKGROUND: The consistency of meningioma is a factor that may influence surgical planning and the extent of resection. The aim of our study is to develop a predictive model of tumor consistency using the radiomic features of preoperative magnetic re...
Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Aged Male Middle Aged Pilot Projects Computational Biology Logistic Models Support Vector Machine Magnetic Resonance Imaging Decision Trees Bayes Theorem Preoperative Care Intraoperative Care Meningioma Elasticity Imaging Techniques Meningeal Neoplasms Diffusion Magnetic Resonance Imaging Supratentorial Neoplasms
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