AIMC Topic: Encephalocele

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Deep learning to predict risk of lateral skull base cerebrospinal fluid leak or encephalocele.

International journal of computer assisted radiology and surgery Aug 29, 2024
PURPOSE: Skull base features, including increased foramen ovale (FO) cross-sectional area, are associated with lateral skull base spontaneous cerebrospinal fluid (sCSF) leak and encephalocele. Manual measurement requires skill in interpreting imaging...
Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Risk Assessment Deep Learning Predictive Value of Tests Cerebrospinal Fluid Leak Skull Base Encephalocele
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Machine learning applied to neuroimaging for diagnosis of adult classic Chiari malformation: role of the basion as a key morphometric indicator.

Journal of neurosurgery Oct 20, 2017
OBJECTIVE The current diagnostic criterion for Chiari malformation Type I (CM-I), based on tonsillar herniation (TH), includes a diversity of patients with amygdalar descent that may be caused by a variety of factors. In contrast, patients presenting...
Humans Machine Learning Adult Logistic Models Decision Trees Diagnosis, Differential Cephalometry Neuroimaging Arnold-Chiari Malformation Skull Base Amygdala Encephalocele Foramen Magnum
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