Intracranial pressure based decision making: Prediction of suspected increased intracranial pressure with machine learning.

ABSTRACT:

Background

Repeated invasive intracranial pressure (ICP) monitoring is desirable because many neurosurgical pathologies are associated with elevated ICP. On the other hand, it could become a risk for children to repeat sedation, anesthesia, or radiation exposure. As a non-invasive method, measurements of optic nerve sheath diameter (ONSD) has been revealed to accurately predict increased ICP. However, no studies have indicated a relationship among age, brain, and ventricular parameters in normal children, nor a prediction of increased ICP with artificial intelligence.

Methods and findings

This study enrolled 400 normal children for control and 75 children with signs of increased ICP between 2009 and 2019. Measurements of the parameters including ONSD on CT were obtained. A s

SUBMITTER: Miyagawa T 

PROVIDER: S-EPMC7577462 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature